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The expertise 202: Lawmakers be anxious about China's funding in 5G | killexams.com Real Questions and Pass4sure dumps

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Attendees assess their smartphone gadgets via a 5G sign all the way through the hole day of the cellular World Congress (MWC) in Barcelona, Spain. Photographer: Simon Dawson/Bloomberg

The race to be the primary country to convert to 5G wireless networks is on -- and the U.S. and China each want to win. 

Lawmakers on each side are already making it a accurate priority this Congress to ensure the U.S. moves all of a sudden to installation subsequent-generation wireless networks so China would not beat it to the punch.

The stakes are excessive: The country that first extensively adopts 5G -- so that they can deliver some distance quicker download speeds and the skill to run billions greater gadgets on mobile networks, together with self-driving automobiles-- will gain a aggressive edge on the area stage.

So a good deal so, Sen. Roger Wicker (R-miss.) said, that 5G has the abilities to usher in a fourth industrial revolution. And losing that knowledge facet to China can be unthinkable, talked about Wicker, the chair of the Senate Committee on Commerce, Science and Transportation. 

"Failing to win the race to 5G would now not handiest materially extend the advantages of 5G for the American americans, it will always in the reduction of the economic and societal positive factors that come from main the world in technology,” Wicker mentioned on the committee's first listening to of the yr, which changed into concentrated on 5G. 

The listening to highlighted the sense of urgency in Washington to work with trade on facilitating the 5G rollout, mainly in ensuring enough important mid-band spectrum is attainable to ensure the us can keep tempo with global rivals. Contracts with the intention to form the fundamentals of those networks can be negotiated in 2019, although it's going to seemingly take 5 or greater years for the gadget to be entirely up and operating.

With their eyes on winning this digital palms race towards China, lawmakers also stated they’re concentrated on guaranteeing that trade adopts key safeguards towards cyberthreats and considers buyer privateness as 5G features are expected to enable expertise to grow ever greater pervasive.

Lawmakers heard a sobering account of China’s coordinated approach to make frequent 5G a truth. Michael Wessel, a U.S.-China economic & safety evaluate commissioner, informed lawmakers that China is poised to make investments as a minimum $400 billion at this factor into its 5G development. China is additionally more and more making an attempt to exert its influence over international usual-surroundings organizations such as the global overseas Telecommunications Union to advantage chinese language corporations. China chairs greater of the company’s committees than any other nation, Wessel pointed out, stoking issues amongst lawmakers.

“We haven't any similar plans here within the U.S.,” Wessel advised lawmakers in his opening testimony.

Congress is renewing its consideration on 5G as the Trump administration indicators that executive motion is coming on subsequent-generation wireless, which is among the “reducing-edge industries of the longer term,” Trump mentioned in his State of the Union address this week.  

“inside the coming weeks they could expect to look motion designed to hold American R&D leadership in artificial intelligence, 5G, and the primary deliverables from the countrywide Quantum Initiative Act,” an administration respectable told me in an announcement Wednesday.

for his or her part, lawmakers might believe legislative proposals just like the Airwaves Act, which became delivered in the last Congress to require the Federal Communications commission to cling auctions over the next three years to supply licenses for certain spectrum bands that could enable 5G. That bill, which stalled in Congress, would have also allocated funding from the auctions to be sure that 5G is accelerated in rural areas which have been up to now left at the back of in such transitions.

5G is in its early ranges of deployment in certain materials of the U.S.. In Silicon Valley, groups are eagerly investing in new applied sciences as a way to count on faster wireless networks -- corresponding to artificial intelligence or augmented reality. 

the united states is aware of firsthand how a lot is at stake during this global race towards China. the us led the realm on 4G wireless know-how, which enabled a era of recent smartphone services that prior networks wouldn’t have had the potential to assist.

“Ten years ago, nobody imagined Uber or numerous different companies which are dependent upon the 4G platform,” spoke of Brad Gillen, the executive vp of CTIA, an business community representing wireless businesses. “We are just scratching the floor.”

however China’s coordinated strategy makes it a formidable opponent within the dash to herald the next era of wireless. The huge scale of cyber web users in China make it some of the world’s most lucrative digital markets, and the country goes to prioritize its appropriate home companies as 5G rolls out. Huawei and ZTE have each and every been promised a 3rd of the 5G market in China, in line with Wessel. That could create a scramble amongst international suppliers for the ultimate third. 

greater concerning is how those agencies may have an effect on the market outdoor China. China’s groups are deeply intertwined with the state, mainly below a 2018 countrywide intelligence legislations that requires groups to assist and help national intelligence, Wessel mentioned. the U.S. is worried in regards to the cybersecurity and surveillance probability that chinese groups might pose in the event that they give the apparatus that allows the spine of so many fundamental digital functions.

the U.S. is warning European allies to no longer use chinese equipment for 5G networks, according to a Tuesday document from Reuters. The Trump administration has weighed an government order that would supply the commerce secretary the authority to block U.S. deals involving international telecommunications device. 

“China’s innovation efforts are vast and deep,” Wessel warned the committee. “China desires to be a world innovation chief and is doing all it may well legally and illegally to achieve its desires.”

you are reading The know-how 202, their guide to the intersection of expertise and politics. no longer a daily subscriber?

BITS, NIBBLES AND BYTES

 fb CEO Mark Zuckerberg arrives to testify before a joint listening to of the Commerce and Judiciary Committees on Capitol Hill in Washington, in regards to the use of facebook data to goal American voters within the 2016 election. (AP photograph/Pablo Martinez Monsivais, File)

BITS: Germany’s competitors watchdog told facebook that its Whatsapp and Instagram functions cannot mix information they bring together with a consumer’s main facebook account until that consumer gives voluntary consent, according BBC information. The regulator additionally dominated that fb needs consumer permission to collect records from third-party web sites and assign it to someone’s facebook account.

The resolution would severely preclude the social community’s existing statistics collection practices. fb plans to appeal the decision, based on the BBC. notwithstanding the restrictions most effective follow to fb’s services in Germany, it could instantaneous different nations to accept as true with similar rules. 

facebook has one month to challenge the ruling before it becomes legally advantageous. “If the order is upheld, the enterprise should improve technical solutions to make certain it complies within four months. If it refused to accomplish that, it may in idea be fined as much as 10% of its annual revenues,” the BBC stated.

John Legere, T-cellular's chief government, arrives at a Senate Judiciary subcommittee hearing in Washington on June 27, 2018. (Andrew Harrer/Bloomberg information)

NIBBLES: Executives from T-cell together with chief executive John Legere have booked more nights than prior to now reported at the Trump overseas lodge in the District given that the company asked the Trump administration to approve its merger with sprint ultimate 12 months, The Washington put up’s Jonathan O'Connell, David A. Fahrenthold and Mike DeBonis reported. My colleagues discovered that T-cell executives have booked at least fifty two nights on the lodge given that then – adding one more 14 nights to the 38 that were previously pronounced. And the executives’ bookings have attracted the attention of two Democratic lawmakers.

Sen. Elizabeth Warren (D-Mass.) and Rep. Pramila Jayapal (D-Wash.) have sent a pair of letters to Trump organization officers and to Legere to demand solutions together with on how the bookings happened. “These transactions lift questions about no matter if T-cell is attempting to curry choose with the President in the course of the Trump corporation and exacerbate their concerns about the President's persevered fiscal relationship with the Trump firm,” Warren and Jayapal wrote. The lawmakers also asked how a whole lot funds T-cellular officials spent at the hotel.

The WhatsApp utility on a telephone display on Aug. 3, 2017. (Thomas White/Reuters) 

BYTES: WhatsApp said it deletes 2 million money owed per thirty days in an effort to curb the spread of disinformation as the business released a white paper in India on “stopping abuse” of the platform, in response to the Guardian's Michael Safi. India is WhatsApp's greatest market with more than 200 million users and the business has faced criticism from Indian authorities as mob lynchings were fueled via rumors spreading on the messaging carrier.

Carl Woog, head of communications for WhatsApp, spoke of Indian political events are abusing the platform as the nation is set to cling a typical election by way of may, Reuters's Sankalp Phartiyal and Aditya Kalra reported. “we now have viewed a couple of events try to use WhatsApp in ways in which it become not supposed, and their company message to them is that the usage of it in that way will outcomes in bans of their provider,” Woog stated.

as the Guardian reported, WhatsApp also talked about it is the usage of machine discovering to identify debts that appear to spread messages in big quantities — the enterprise limits the number of message forwards to five in India and noted last month that it is expanding the rule of thumb globally.

private CLOUD

The Apple emblem is seen on a window at an Apple store in Beijing on Jan. 7. (Kevin Frayer/Getty photos)

— business analysts say Apple's outlets have misplaced a few of their shine as they lack points to inspire loyalty amongst buyers, The Washington post's Hamza Shaban stated. Daniel Ives, an analyst at Wedbush Securities, talked about product launches recently and pursuits on the enterprise's stores had been disappointing. “The closing few years have in reality been void of the lines around the store, slumbering on the shop, anticipating the product,” Ives told my colleague. “part of it's that clients have gotten used to the Apple store — there is no longer the wow ingredient.”

an electric scooter in Washington on Jan. 3. (Salwan Georges/The Washington publish)

— About 1,500 individuals within the united states have been injured in incidents involving electric scooters considering late 2017, in keeping with an investigation from buyer studies's Ryan Felton. medical doctors say they've treated serious injuries considering that electric scooters from agencies comparable to Lime and bird had been deployed in cities throughout the country. “We’ve had assorted concussions, nasal fractures, bilateral forearm fractures, and some individuals have required surgical procedure,” Beth Rupp, clinical director at the Indiana institution health middle in Bloomington, Ind., told purchaser experiences.

— Telecommunications agencies offered sensitive consumer vicinity advice referred to as “assisted GPS” statistics to third-party businesses who in turn offered it to bounty hunters, Motherboard's Joseph Cox stated. Such assisted GPS or A-GPS records is meant to be used via first responders to find people who name 911 right through emergencies. Motherboard also reported that about 250 bounty hunters and other third-birthday party corporations had entry to the region facts of AT&T, T-mobile and dash customers.

— extra know-how information from the deepest sector:

Uber is intensifying its pursuit of middle East riders after chickening out from different international markets in fresh years, lured with the aid of the vicinity’s exploding youth inhabitants.

The Wall road Journal

IBM Corp. has developed technology to foretell and display screen when and the place timber and vegetation threaten vigour strains which might aid enrich vigour supply operations and reduce outages, it pointed out on Wednesday.

Reuters

“we will record a 5-second video of your face. ... To proceed, enable access to your webcam.”

BuzzFeed news

PUBLIC CLOUD

A security digicam is mounted on the side of a constructing in long island on July 31, 2013. (Mark Lennihan/AP) 

— a bigger variety of cities than in the past reported have experimented with the predictive policing application PredPol, which claims to use a desktop-gaining knowledge of algorithm to predict and aid evade crime, in accordance with Motherboard's Caroline Haskins. The utility claims that it could possibly predict where crime is likely to ensue in areas of 500 feet by means of 500 ft through the use of historic crime information in order that legislations enforcement can raise patrols in certain areas. Motherboard received PredPol files from police departments in states together with California, Utah, Georgia and Washington.

Shahid Buttar, director of grass-roots advocacy at the electronic Frontier basis, warned about bias in predictive policing. Predictive policing is “pushed by using what seems to be aim historic information that itself displays longstanding and pervasive bias,” Buttar told Haskins. 

Rep. Yvette D. Clarke (D-N.Y.) at the 2016 Democratic countrywide conference in Philadelphia on July 27, 2016. (Ron Sachs/photograph-alliance/dpa/AP images)

— Yvette D. Clarke (D-N.Y.) warned that the united states must not fall behind in the race to 5G as different international locations together with China are also making a push into the know-how, the Hill's Cady Stanton said. “it's going to put us at an obstacle if they are late to the game,” Clarke observed right through an event that was hosted with the aid of the Hill and backed by Qualcomm. “Our businesses are already type of leaders in this space, and if they enable other companies everywhere to hit that sweet spot round 5G earlier than they do, think about what it will mean when it comes to the shrinking of their entry to the market.”

— greater technology information from the public sector:

start, the e-bike and e-scooter company owned by means of Uber, got renewed hope Tuesday for its bid to join San Francisco’s scooter cohort, although it didn’t show that its old rejection by means of the metropolis changed into unfair.

San Francisco Chronicle

a major tax smash changed into supposed to create a manufacturing paradise, however interviews with 49 people standard with the venture depict a chaotic operation not going to ever employ 13,000 employees.

Bloomberg information

quick FWD

— news about tech workforce and way of life:

beginning startup says its unbiased ‘customers’ may be allowed to keep their tips without losing pay.

The Wall road Journal

no one likes paying taxes, however new millionaires in California’s IPO gold rush need to protect their cash.

Recode

The company quietly laid off staffers tracking people around the web to sell facebook advertisements.

Bloomberg news

#TRENDING

— Tech news generating buzz across the web:

ebook canine, prosthetics and accessibility emojis welcomed by using rights businesses

The Guardian

information superhighway subculture

A falsehood has been spreading in darkish corners of the web that Ruth Bader Ginsburg is dead. A Washington post reporter saw her Monday night, nevertheless it wasn't satisfactory to douse the flames of this theory.

Eli Rosenberg and Abby Ohlheiser

@MENTIONS

— Caryn Marooney, facebook's vp of communications, is leaving the business, Wired's Issie Lapowsky mentioned.

404 ERROR

a person looks at an iPhone eight Plus at an Apple save in Tokyo on Sept. 22, 2017.(Franck Robichon/EPA-EFE)

— Some hackers and scammers are taking part in an “underground business” that focuses on removing the iCloud account of a person from their iPhone so that the device may also be resold, Motherboard's Joseph Cox and Jason Koebler suggested. If the iCloud account of a user whose iPhone changed into stolen remains on the machine, that allows the sufferer to remotely lock the phone and tune it down by using the locate My iPhone function — and that's why resellers or thieves can also are trying to find to get rid of the iCloud account.

“In practice, ‘iCloud unencumber’ because it’s regularly referred to as, is a scheme that contains a posh deliver chain of different scams and cybercriminals,” Motherboard mentioned. “These include the use of fake receipts and invoices to trick Apple into believing they’re the authentic owner of the telephone, using databases that search for tips on iPhones, and social engineering at Apple retailers.” however, Motherboard additionally referred to that “not all iCloud-locked telephones are stolen devices.”

— more news about tech incidents and error:

It’s a lose-lose situation for Google’s Nest

The Verge

BURN rate

— nowadays in funding news:

SoftBank has spent at least half of its well-nigh $100 billion vision Fund in lower than two years, increasing the force to lift greater funds if the world’s largest tech investor wants to maintain that tempo.

The Wall street Journal

Daniel Ek says he wants to spend as much as $500 million on acquisitions this 12 months.

Recode

Calm.com Inc. -- which makes an app that guides americans through rest workout routines and encourages clients to breathe -- has been valued at $1 billion in a funding round led by way of TPG increase, the startup talked about on Wednesday.

Bloomberg news

On-demand electric powered scooter startup Lime introduced that it has closed a $310 collection D round, which values the company at $2.4 billion.

VentureBeat

verify-INS

today:

Coming soon:

  • The Brookings institution holds a panel dialogue titled “sensible cities and synthetic intelligence” on Feb. eleven.
  • WIRED IN

    Conspiracy theorists are saying RBG is dead. She’s not.

    Trump's remarks on ISIS, in one minute:

    became Trump’s State of the Union tackle bipartisan?


    AI Nanodegree software Syllabus: term 2 (Deep learning), intensive | killexams.com Real Questions and Pass4sure dumps

    So let’s get begun! here is their first three-month curriculum intensive, including the entire initiatives and labs that you’ll be building.

    Core software

  • Deep Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Concentrations

  • Voice consumer Interfaces — with Amazon Alexa
  • natural Language Processing — with IBM Watson
  • laptop vision — with Affectiva
  • Core software Introduction to Deep Neural Networks

    Neural Networks are the simple building block of Deep studying. during this classification, you’ll gain knowledge of their constitution, and the way to construct them and coach them. We’ll delivery the classification by fixing linear classification complications the usage of perceptrons and logistic regression. From there, we’ll lengthen to solving particularly non-linear classification problems the usage of deep neural networks. We’ll find out about their structure, the way to train them the usage of options reminiscent of gradient descent and backpropagation, and the way to optimize the working towards procedure the usage of diverse error capabilities and regularization thoughts.

    Lab: constructing Neural Networks in Keras

    You’ll finish this lesson with a coding lab the place you’ll have the possibility to practice all these ideas in Keras, one of the crucial commonplace Deep getting to know applications in Python.

    Convolutional Neural Networks

    Convolutional Neural Networks are established for photograph classification, among many different pleasing functions. in this part you’ll learn the way they fluctuate from usual neural networks. After exploring some new styles of layers, we’ll discover a number of diverse community architectures. You’ll discover a way to augment your statistics to enhance efficiency, earlier than studying innovations to visualize what your networks learn. You’ll study to tap into the energy of transfer gaining knowledge of, by using benefitting from pre-informed networks comparable to VGGNet or ResNet.

    undertaking: build a Dog consciousness App

    You’ll practice what you’ve discovered to build an conclusion-to-conclusion algorithm to manner any user-presented picture. Given a picture of a dog, your algorithm will determine an estimate of the canine’s breed. If offered a picture of a human, the code will identify the similar to dog breed. What variety of dog will your algorithm consider you seem like? :)

    Recurrent Neural Networks

    Recurrent Neural Networks are used for some very interesting applications, corresponding to time collection predictions and sequence technology. Their architecture is distinctive from feedforward neural networks, as the counsel cycles in the course of the community, permitting it to be aware previous states.

    task — part 1: Predicting Apple stock

    You’ll practice what you’ve discovered to construct an algorithm to be able to operate time collection predictions, and should forecast the stock rate of Apple 7 days in increase.

    task — part 2: producing Sherlock Holmes text

    You’ll additionally put into effect a recurrent neural network to create an English language generator, with a purpose to build semi-coherent English sentences from scratch. You’ll be capable of check it through feeding it with the text of Sir Arthur Conan Doyle’s traditional publication, The Adventures of Sherlock Holmes, with a view to acquire text that resembles a Sherlock Holmes novel! fundamental, my expensive IBM Watson! :)

    Concentrations awareness 1: Voice person Interfaces with Amazon Alexa

    during this concentration, you’ll learn how computer systems can process speech, flip it into textual content, and vice versa. within the first part, you’ll get a top level view of Voice person Interfaces (VUI), focal point on Conversational AI, and learn the way Alexa operates. Then, you’ll dive deeper into the entertaining container of Speech focus, researching signal analysis and Phonetics, single notice classification the use of Dynamic Time Warping, and sentence awareness the usage of Hidden Markov models. finally, you’ll learn about the leading edge in automated Speech cognizance, leveraging deep neural networks.

    Amazon Alexa Lab — constructing an Alexa skill

    in this lab, you’ll get your hands on the the Alexa abilities equipment, where you’ll construct and install your first Alexa skill, that will stick with it a small conversation with the consumer and provide a reality from a given yr.

    Capstone project — Speech consciousness with Neural Networks

    during this assignment, you'll build a deep neural network that features as part of an conclusion-to-end automated speech consciousness (ASR) pipeline! Your achieved pipeline will accept uncooked audio as enter and return a expected transcription of the spoken language. the full pipeline is summarized in the determine beneath.

    First, you’ll preprocess the uncooked audio to convert it to certainly one of two function representations which are commonly used for ASR. Then, you are going to gain knowledge of in regards to the primary sorts of neural networks that are often used for acoustic modeling, and be able to construct your own acoustic mannequin! This mannequin may be used as input into the decoder, so that you can return the envisioned transcription.

    awareness 2: herbal Language Processing with IBM Watson

    natural Language Processing (NLP) is a fascinating field by which they teach computers to be aware and analyze text. during this concentration, you’ll be trained to decompose a problem that contains examining natural language text into tasks, operate basic NLP operations, such as building an N-gram language model from a given corpus, and labelling phrases in a sentence with part-of-Speech (POS) tags and as named entities. you will accomplish conclusion-to-end NLP projects corresponding to doc classification, desktop translation, and so on., the use of a combination of customized processing and cloud-primarily based APIs.

    IBM Watson Lab — question-Answering Agent with Watson

    in this lab, you will construct a simple query-answering agent it really is in a position to study from any text facts you supply, and reply queries posed in natural language. you're going to use IBM Watson’s cloud-based features to system the enter textual content information and discover crucial responses.

    Capstone challenge — desktop Translation

    during this project, you will build a deep neural community that functions as a part of an conclusion-to-conclusion desktop translation pipeline. Your accomplished pipeline will settle for English textual content as enter and return the French translation.

    First, you’ll preprocess the facts to transform text to a chain of integers. Then, you’ll create models which accept a series of integers as enter, and return the probability distribution over feasible translations. After learning in regards to the primary forms of neural networks that are sometimes used for computing device translations, you should be able to engage for your personal investigations, to design your personal machine translation mannequin so you might run on English textual content!

    concentration 3: computing device vision with Affectiva

    impressed by using human vision, computer imaginative and prescient goals to supply machines the potential to peer and interpret the world by means of extracting advice from photos. in this concentration, you’ll study the basics of desktop imaginative and prescient and the role it performs in artificial intelligence systems. computer vision is used in many purposes, from detecting dermis melanoma to emotion consciousness (and even self-using vehicle navigation!). all through this term, you’ll strengthen useful knowledge and get palms-on coding experience with lots of these real-world functions. You’ll be taught to break down any problem that involves visible notion into desktop vision projects, akin to: bettering pictures, making use of color and geometric transformations to change the appearance of a picture, detecting object boundaries, computing gradients and filtering images, and extracting points like object edges and pleasing visible patterns. We’ll go over these foundational laptop imaginative and prescient innovations in element. Then, you’ll make the most of what you’ve learned to create a complete AI gadget that makes use of desktop vision to perform smart object detection and undertaking consciousness.

    Affectiva Emotion API Lab — Mimic Me!

    in this lab, you’ll be taught to song faces in a video and identify facial expressions (joy, disappointment, surprise, etc.) the usage of AffedexMe from Affectiva. As a enjoyable visualization, it could be as much as you to tag each and every identified face with its acceptable emoji! Then, you’ll flip this into a video game the place a participant must mimic a random emoji displayed by way of the desktop.

    Capstone project — Facial Keypoint Detection

    in this project, you’ll mix your abilities of desktop imaginative and prescient options and deep learning to construct an conclusion-to-end facial keypoint attention gadget! Facial keypoints include elements around the eyes, nostril, and mouth on a face and are used in many functions, from facial monitoring to emotion attention.

    This project is broken into a number of leading elements. First, you’ll use your expertise of desktop imaginative and prescient and OpenCV to detect faces. You’ll also use photograph filtering concepts to de-noise pictures and radically change the look of a face in a picture. 2d, you’ll outline and coach a Convolutional Neural community (CNN) to observe facial keypoints. eventually, you’ll put these two constituents collectively so for you to reliably establish facial keypoints on any photo!

    You’ll even be given not obligatory workouts that guide you in extending this task to video (or a computer digital camera feed); this gives you the capacity to implement fun face filters and keypoint detection in real time!

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    SmartBe Wealth raises the flag in 'quantland' | killexams.com Real Questions and Pass4sure dumps

    SmartBe Wealth raises the flag in

    art Johnson dived headfirst into “quantland” when he helped Dimensional Fund Advisors launch in Canada more than 15 years ago.

    The company is run and influenced via a few of tuition of Chicago’s most suitable, including Eugene Fama, who received the Nobel Memorial Prize in economic Sciences in 2013.

    The partnership began Johnson’s route against founding SmartBe Wealth and closing week’s launch of its SmartBe world cost Momentum style Index ETF, which begun buying and selling on NEO on Tuesday and seeks to duplicate the efficiency of the Alpha Architect price Momentum vogue for Canada Index.

    In actuality, notwithstanding, 55-yr-old Johnson’s curiosity with quant began decades in the past as a young dealer after which supervisor on the Alberta inventory alternate. a guy dating his sister, and eager to galvanize, obtained him his first job on the floor at 18 and, after college, he became as a result offered the position of supervisor.

    “i thought, I’m very wise and that they’ve at last recognized it,” he said. “but the truth turned into what they desired became a younger guy who become clever sufficient to tell the IBM programmers a way to automate the trading ground.

    “So my first introduction into quant became working with the IBM programmers and i received a sense of how expertise turned into going to transform this element that had been very static for hundreds of years. It was surprising in a bunch of how.”

    He seen two issues: individuals’s algorithm aversion and inherent belief computer systems could not change what they did, and the opposing fact that change was coming speedy. 5 years later, trading floors as they are aware of it in Canada had been no greater.

    Calgary-based Johnson thinks about quant as a labour challenge and the extended capability of a laptop to perform movements tasks of screening and looking out for certain variables. It’s no shock, for this reason, that he disagrees with critics who believe algorithms will accentuate and accelerate a market crash, and elements to the style expertise has effectively changed, in preference to hurt, the funding panorama.

    A veteran of the 1987 crash, he remembers how the onset of tech-fuelled international investing influenced it and the way after the meltdown, breaks have been put in region to halt the market if it all of sudden dropped.

    He referred to: “What algorithms will do is make stocks alternate differently. It’s no big deal. they're going to really exchange a little less risky, i'd argue, when it goes into an ETF as a result of a big ETF holds the inventory as opposed to portfolio managers, who are in and out of shares much more.

    “You should know, despite the fact, that it trades in a more systematic fashion than it could with people – it’s simply distinct. It’s no longer that the rest has changed – it just went from a portfolio supervisor’s portfolio to an ETF now. It’s simply held otherwise.

    “individuals consider that this new entrant has come into the market and is displacing issues. It truly is not. The possession just went from what was a man that was likely closet indexing and charging you too plenty over to an alternate traded fund. And that guy misplaced his job as a result of, to be rather honest, his labour for the quantity of cost you acquired out of it became too expensive.”

    After working with Dimensional, Johnson acquired to know Wes grey from Alpha Architect, who had all started engaged on his quantitative algorithms with a huge household office that desired to change methods used by means of hedge fund managers with a view to shop costs.

    Johnson said that via knowing what gray become doing with momentum and value, he turned into bringing a level of screening into the ETF procedure he hadn’t considered earlier than.

    He noted: “I at all times need to be anti-black box; I are looking to be radically transparent. If somebody is clear and displaying me the data, i will bear in mind if the model is wrong. If it’s a black box, i can’t tell.”

    Quant is heading to more centred portfolios with mighty and complex screening. And what sets SmartBe’s ETF apart, according to Johnson, is how it builds a couple of different portfolios into the product so as to promote greater behaviour from the investor and prevent efficiency-chasing from one ETF to an extra.

    At its core is an Index it really is based on three factors: value, momentum and vogue-following.  price is a methodology that focuses on the commonplace stock of companies with low fees relative to fundamentals, whereas momentum specializes in the standard stock of corporations that have strong relative previous performance. fashion-following, in the meantime, is a possibility administration technique that advocates investing in fairness markets when the vogue is high-quality and moving to lessen chance property when the trend is terrible.

    The latter apply is vital, mentioned Johnson, who defined how the market has to have already began falling earlier than SmartBe will purchase your assurance of a treasury bill or a bond. He mentioned: “instead of attempting to predict when the market goes to crash, which is what an energetic supervisor tries to do and that i would argue all and sundry receives incorrect, we're asserting the cow has to stay its head out of the barn earlier than we're even going to buy the coverage. Then the shoulder and head has to come out earlier than they go one hundred% to money.”

    comply with WP on fb, LinkedIn and Twitter


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    Artificial Intelligence Has A Problem With Bias, Here's How To Tackle It | killexams.com real questions and Pass4sure dumps

    One of the problems in society that AI decision-making was meant to solve, was bias. After all, aren’t computers less likely to have inherent views on, for example, race, gender, and sexuality?

    Well, that was true back in the days when, as a general rule, computers could only do what they told them. The rollout of machine learning, thanks to the explosion of Big Data, and the emergence of affordable computers with enough processing power to handle it have changed all that.

    3 Steps To Tackle The Problem Of Bias In Artificial IntelligenceAdobe Stock

    In the old days, the term “garbage in, garbage out” concisely summed up the importance of high-quality data. When you give computers the wrong information to work with, the results they come up with are unlikely to be helpful.

    Back then, this was mostly a problem for computer programmers and analysts. Today, when computers are routinely making decisions about whether they are invited to job interviews, eligible for a mortgage, or a candidate for surveillance by law enforcement and security services, it’s a problem for everybody.

    In possibly the highest profile example of getting this wrong so far, a study found that an AI algorithm used by parole authorities in the US to predict the likelihood of criminals reoffending was biased against black people.

    Exactly how this came about is unknown – the workings of the proprietary algorithms have not been made available for independent auditing. But the ProPublica study found that the system overestimated the likelihood of black offenders going to commit further crimes after completing their sentence while underestimating the likelihood of white offenders doing the same.

    Biased AI systems are likely to become an increasingly widespread problem as artificial intelligence moves out of the data science labs and into the real world. The “democratization of AI” undoubtedly has the potential to do a lot of good, by putting intelligent, self-learning software in the hands of us all.

    But there’s also a very real danger that without proper training on data evaluation and spotting the potential for bias in data, vulnerable groups in society could be hurt or have their rights impinged by biased AI.

    It’s possible AI may be the solution to, as well as the cause of this problem. Researchers at IBM are working on automated bias-detection algorithms, which are trained to mimic human anti-bias processes they use when making decisions, to mitigate against their own inbuilt biases.

    This includes evaluating the consistency with which they (or machines) make decisions. If there is a difference in the solution chosen to two different problems, despite the fundamentals of each situation being similar, then there may be bias for or against some of the non-fundamental variables. In human terms, this could emerge as racism, xenophobia, sexism or ageism.

    While this is interesting and vital work, the potential for bias to derail drives for equality and fairness runs deeper, to levels which may not be so easy to fix with algorithms.

    I spoke to Dr. Rumman Chowdhury, Accenture’s lead for responsible AI, who outlined that there may be situations where data and algorithms are clean, but societal biases may still throw a spanner in the works.

    She said, "With societal bias, you can have perfect data and a perfect model, but they have an imperfect world."

    "Think about the use of AI in hiring … you use all of your historical data to train a model on who should be hired and why. Then you parse their resume or look at people’s faces while they’re interviewing.

    “But you’re assuming that the only reason people are hired and promoted is pure meritocracy, and they actually know that not to be true.

    “So, in this case, there's nothing wrong with the data, and there's nothing wrong with the model, what's wrong is that ingrained biases in society have led to unequal outcomes in the workplace, and that isn't something you can fix with an algorithm."

    In very simplified terms, an algorithm might pick a white, middle-aged man to fill a vacancy based on the fact that other white, middle-aged men were previously hired to the same position, and subsequently promoted. This would be overlooking the fact that the reason he was hired, and promoted, was more down to the fact he is a white, middle-aged man, rather than that he was good at the job.

    Chowdhury lists three specific steps which organizations can take to minimize the risk of perpetuating societal biases.

    The first is to look at the algorithms themselves and ensure that nothing about the way they are coded perpetuates bias. This is particularly necessary when AI is constantly making predictions which are out-of-step with reality (as seems to be the case with the US probation example mentioned above).

    Second is to consider ways in which AI itself can help to mitigate against the risk of biased data – IBM’s bias detection algorithms could play a part here.

    Thirdly, they must “make sure their house is in order – they can’t expect an AI algorithm that has been trained on data that comes from society to be better than society – unless we’ve explicitly designed it to be.”

    This leads onto the discussion of the regulation of AI – who will be responsible for setting the parameters AI operates within – teaching machines what is valid data to learn from, and where inbuilt societal biases could limit its ability to make decisions which are both valuable and ethical.

    Tech leaders including Google, Facebook and Apple jointly formed the Partnership on AI in 2016 to encourage research on the ethics of AI, including issues of bias. Part of the partnerships work involves informing legislators, but this "top-down" approach may not produce solutions to every problem, and may even stifle innovation.

    Chowdhury says “What they don’t want … is every AI project at a company having to be judged by some governance group, that’s not going to make projects go forward. I call that model ‘police patrol,' where they have the police going around trying to stop and arrest criminals. That doesn't create a good culture for ethical behavior."

    Neither should the burden of regulation and enforcement be put solely on the front-line – the data scientists themselves, argues Chowdhury.

    "Yes, the data scientist plays a role, the AI researcher plays a role, but at a corporation, there are many moving parts.

    “We put a lot of responsibility on the data scientist … but they shouldn’t shoulder all of it.”

    Basically, if society is at a stage where they are ready to democratize AI, by making it available to all, then they need to be ready to democratize the oversight and regulation of AI ethics.

    Chowdhury refers to this concept as the Fire Warden model.

    "Think about how if there's a fire in your building right now, everyone knows what to do – you all meet outside at a pre-arranged location, someone will raise the alarm – you won't put out the fire, but you've been educated on how to respond.

    “That’s what I want to see in the governance of AI systems, everybody has a role to play, everyone’s roles are a bit different, but everyone understands how to raise ethical issues.”

    Crucially, this will only work if there is faith that someone will put out the fire – no one would bother calling the fire brigade if they knew they didn’t have the ability and motivation to do their job. Some top-down regulation will undoubtedly be a necessary part of tackling the issue of AI bias.

    But building a culture of reporting and accountability throughout an organization means there will be a far greater chance to spot and halt, bias in data, algorithms or systems before it is perpetuated and becomes harmful.


    The Technology 202: Lawmakers fret about China's investment in 5G | killexams.com real questions and Pass4sure dumps

    Ctrl + N

    Attendees check their smartphone devices by a 5G sign during the opening day of the Mobile World Congress (MWC) in Barcelona, Spain. Photographer: Simon Dawson/Bloomberg

    The race to be the first country to convert to 5G wireless networks is on -- and the U.S. and China both want to win. 

    Lawmakers on both sides are already making it a top priority this Congress to ensure the U.S. moves swiftly to deploy next-generation wireless networks so China doesn't beat it to the punch.

    The stakes are high: The country that first widely adopts 5G -- which will bring far faster download speeds and the ability to run billions more devices on mobile networks, including self-driving cars-- will gain a competitive edge on the world stage.

    So much so, Sen. Roger Wicker (R-Miss.) said, that 5G has the potential to usher in a fourth industrial revolution. And losing that potential edge to China would be unthinkable, said Wicker, the chair of the Senate Committee on Commerce, Science and Transportation. 

    "Failing to win the race to 5G would not only materially delay the benefits of 5G for the American people, it would forever reduce the economic and societal gains that come from leading the world in technology,” Wicker said at the committee's first hearing of the year, which was focused on 5G. 

    The hearing highlighted the sense of urgency in Washington to work with industry on facilitating the 5G rollout, particularly in ensuring enough critical mid-band spectrum is available to ensure the United States can keep pace with global competitors. Contracts that will shape the fundamentals of these networks will be negotiated in 2019, even though it will likely take five or more years for the system to be fully up and running.

    With their eyes on winning this digital arms race against China, lawmakers also said they’re focused on ensuring that industry adopts key safeguards against cyberthreats and considers consumer privacy as 5G services are expected to allow technology to grow ever more pervasive.

    Lawmakers heard a sobering account of China’s coordinated strategy to make widespread 5G a reality. Michael Wessel, a U.S.-China Economic & Security Review commissioner, told lawmakers that China is poised to invest at least $400 billion at this point into its 5G development. China is also increasingly trying to exert its influence over international standard-setting groups such as the Global International Telecommunications Union to benefit Chinese companies. China chairs more of the organization’s committees than any other country, Wessel said, stoking concerns among lawmakers.

    “We have no comparable plans here in the U.S.,” Wessel told lawmakers in his opening testimony.

    Congress is renewing its attention on 5G as the Trump administration signals that executive action is coming on next-generation wireless, which is among the “cutting-edge industries of the future,” Trump said in his State of the Union address this week.  

    “Within the coming weeks they could expect to see action designed to preserve American R&D leadership in artificial intelligence, 5G, and the first deliverables from the National Quantum Initiative Act,” an administration official told me in a statement Wednesday.

    For their part, lawmakers could consider legislative proposals like the Airwaves Act, which was introduced in the last Congress to require the Federal Communications Commission to hold auctions over the next three years to grant licenses for certain spectrum bands that would enable 5G. That bill, which stalled in Congress, would have also allocated funding from the auctions to ensure that 5G is expanded in rural areas that have been previously left behind in such transitions.

    5G is in its early stages of deployment in certain parts of the United States. In Silicon Valley, companies are eagerly investing in new technologies that will rely on faster wireless networks -- such as artificial intelligence or augmented reality. 

    The United States knows firsthand how much is at stake in this global race against China. The United States led the world on 4G wireless technology, which enabled a generation of new smartphone services that earlier networks wouldn’t have had the capacity to support.

    “Ten years ago, no one imagined Uber or countless other companies that are dependent upon the 4G platform,” said Brad Gillen, the executive vice president of CTIA, an industry group representing wireless companies. “We are just scratching the surface.”

    But China’s coordinated approach makes it a formidable opponent in the dash to herald the next era of wireless. The massive scale of Internet users in China make it one of the world’s most lucrative digital markets, and the country is going to prioritize its top domestic companies as 5G rolls out. Huawei and ZTE have each been promised a third of the 5G market in China, according to Wessel. That could create a scramble among foreign suppliers for the remaining third. 

    More concerning is how those companies could influence the market outside China. China’s companies are deeply intertwined with the state, particularly under a 2018 national intelligence law that requires companies to support and assist national intelligence, Wessel said. The United States is concerned about the cybersecurity and surveillance threat that Chinese companies could pose if they supply the gear that enables the backbone of so many essential digital services.

    The United States is warning European allies to not use Chinese equipment for 5G networks, according to a Tuesday report from Reuters. The Trump administration has weighed an executive order that would give the commerce secretary the authority to block U.S. deals involving foreign telecommunications equipment. 

    “China’s innovation efforts are broad and deep,” Wessel warned the committee. “China wants to be a global innovation leader and is doing all it can legally and illegally to achieve its goals.”

    You are reading The Technology 202, their guide to the intersection of technology and politics. Not a regular subscriber?

    BITS, NIBBLES AND BYTES

     Facebook CEO Mark Zuckerberg arrives to testify before a joint hearing of the Commerce and Judiciary Committees on Capitol Hill in Washington, about the use of Facebook data to target American voters in the 2016 election. (AP Photo/Pablo Martinez Monsivais, File)

    BITS: Germany’s competition watchdog told Facebook that its Whatsapp and Instagram services cannot combine data they collect with a user’s main Facebook account unless that user gives voluntary consent, according BBC News. The regulator also ruled that Facebook needs user permission to gather data from third-party websites and assign it to a person’s Facebook account.

    The decision would severely restrict the social network’s current data collection practices. Facebook plans to appeal the decision, according to the BBC. Though the restrictions only apply to Facebook’s services in Germany, it could prompt other countries to consider similar rules. 

    Facebook has one month to challenge the ruling before it becomes legally effective. “If the order is upheld, the company must develop technical solutions to ensure it complies within four months. If it refused to do so, it could in theory be fined up to 10% of its annual revenues,” the BBC reported.

    John Legere, T-Mobile's chief executive, arrives at a Senate Judiciary subcommittee hearing in Washington on June 27, 2018. (Andrew Harrer/Bloomberg News)

    NIBBLES: Executives from T-Mobile including chief executive John Legere have booked more nights than previously reported at the Trump International Hotel in the District since the company asked the Trump administration to approve its merger with Sprint last year, The Washington Post’s Jonathan O'Connell, David A. Fahrenthold and Mike DeBonis reported. My colleagues found that T-Mobile executives have booked at least 52 nights at the hotel since then – adding another 14 nights to the 38 that were previously reported. And the executives’ bookings have attracted the attention of two Democratic lawmakers.

    Sen. Elizabeth Warren (D-Mass.) and Rep. Pramila Jayapal (D-Wash.) have sent a pair of letters to Trump Organization officials and to Legere to demand answers including on how the bookings came about. “These transactions raise questions about whether T-Mobile is attempting to curry favor with the President through the Trump Organization and exacerbate their concerns about the President's continued financial relationship with the Trump Organization,” Warren and Jayapal wrote. The lawmakers also asked how much money T-Mobile officials spent at the hotel.

    The WhatsApp application on a phone screen on Aug. 3, 2017. (Thomas White/Reuters) 

    BYTES: WhatsApp said it deletes 2 million accounts per month in an effort to curb the spread of disinformation as the company released a white paper in India on “stopping abuse” of the platform, according to the Guardian's Michael Safi. India is WhatsApp's biggest market with more than 200 million users and the company has faced criticism from Indian authorities as mob lynchings have been fueled by rumors spreading on the messaging service.

    Carl Woog, head of communications for WhatsApp, said Indian political parties are abusing the platform as the country is set to hold a general election by May, Reuters's Sankalp Phartiyal and Aditya Kalra reported. “We have seen a number of parties attempt to use WhatsApp in ways that it was not intended, and their firm message to them is that using it in that way will result in bans of their service,” Woog said.

    As the Guardian reported, WhatsApp also said it is using machine learning to spot accounts that appear to spread messages in large quantities — the company limits the number of message forwards to five in India and said last month that it is expanding the rule globally.

    PRIVATE CLOUD

    The Apple logo is seen on a window at an Apple Store in Beijing on Jan. 7. (Kevin Frayer/Getty Images)

    — Industry analysts say Apple's stores have lost some of their shine as they lack features to inspire loyalty among consumers, The Washington Post's Hamza Shaban reported. Daniel Ives, an analyst at Wedbush Securities, said product launches recently and events at the company's stores were disappointing. “The last few years have really been void of the lines around the store, sleeping at the store, waiting for the product,” Ives told my colleague. “Part of it is that customers have gotten used to the Apple Store — there is no longer the wow factor.”

    An electric scooter in Washington on Jan. 3. (Salwan Georges/The Washington Post)

    — About 1,500 people in the United States have been injured in incidents involving electric scooters since late 2017, according to an investigation from Consumer Reports's Ryan Felton. Doctors say they have treated serious injuries since electric scooters from companies such as Lime and Bird were deployed in cities across the country. “We’ve had multiple concussions, nasal fractures, bilateral forearm fractures, and some people have required surgery,” Beth Rupp, medical director at the Indiana University Health Center in Bloomington, Ind., told Consumer Reports.

    — Telecommunications companies sold sensitive customer location information known as “assisted GPS” data to third-party companies who in turn sold it to bounty hunters, Motherboard's Joseph Cox reported. Such assisted GPS or A-GPS data is meant for use by first responders to locate people who call 911 during emergencies. Motherboard also reported that about 250 bounty hunters and other third-party companies had access to the location data of AT&T, T-Mobile and Sprint customers.

    — More technology news from the private sector:

    Uber is intensifying its pursuit of Middle East riders after retreating from other international markets in recent years, lured by the region’s exploding youth population.

    The Wall Street Journal

    IBM Corp. has developed technology to predict and monitor when and where trees and vegetation threaten power lines which could help improve power supply operations and reduce outages, it said on Wednesday.

    Reuters

    “We will record a 5-second video of your face. ... To proceed, enable access to your webcam.”

    BuzzFeed News

    PUBLIC CLOUD

    A security camera is mounted on the side of a building in New York on July 31, 2013. (Mark Lennihan/AP) 

    — A larger number of cities than previously reported have experimented with the predictive policing software PredPol, which claims to use a machine-learning algorithm to predict and help prevent crime, according to Motherboard's Caroline Haskins. The software claims that it can predict where crime is likely to occur in areas of 500 feet by 500 feet by using historical crime data so that law enforcement can increase patrols in specific places. Motherboard obtained PredPol documents from police departments in states including California, Utah, Georgia and Washington.

    Shahid Buttar, director of grass-roots advocacy at the Electronic Frontier Foundation, warned about bias in predictive policing. Predictive policing is “driven by what seems to be objective historical data that itself reflects longstanding and pervasive bias,” Buttar told Haskins. 

    Rep. Yvette D. Clarke (D-N.Y.) at the 2016 Democratic National Convention in Philadelphia on July 27, 2016. (Ron Sachs/picture-alliance/dpa/AP Images)

    — Yvette D. Clarke (D-N.Y.) warned that the United States must not fall behind in the race to 5G as other countries including China are also making a push into the technology, the Hill's Cady Stanton reported. “It will put us at a disadvantage if they are late to the game,” Clarke said during an event that was hosted by the Hill and sponsored by Qualcomm. “Our companies are already sort of leaders in this space, and if they allow other companies around the world to hit that sweet spot around 5G before they do, imagine what it would mean in terms of the shrinking of their access to the market.”

    — More technology news from the public sector:

    Jump, the e-bike and e-scooter company owned by Uber, got renewed hope Tuesday for its bid to join San Francisco’s scooter cohort, although it didn’t prove that its previous rejection by the city was unfair.

    San Francisco Chronicle

    A huge tax break was supposed to create a manufacturing paradise, but interviews with 49 people familiar with the project depict a chaotic operation unlikely to ever employ 13,000 workers.

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    FAST FWD

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    Delivery startup says its independent ‘shoppers’ will be allowed to keep their tips without losing pay.

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    Recode

    The company quietly laid off staffers tracking people around the web to sell Facebook ads.

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    Guide dogs, prosthetics and accessibility emojis welcomed by rights groups

    The Guardian

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    A falsehood has been spreading in dark corners of the Internet that Ruth Bader Ginsburg is dead. A Washington Post reporter saw her Monday night, but it wasn't enough to douse the flames of this theory.

    Eli Rosenberg and Abby Ohlheiser

    @MENTIONS

    — Caryn Marooney, Facebook's vice president of communications, is leaving the company, Wired's Issie Lapowsky reported.

    404 ERROR

    A man looks at an iPhone 8 Plus at an Apple Store in Tokyo on Sept. 22, 2017.(Franck Robichon/EPA-EFE)

    — Some hackers and scammers are taking part in an “underground industry” that focuses on removing the iCloud account of a user from their iPhone so that the device can be resold, Motherboard's Joseph Cox and Jason Koebler reported. If the iCloud account of a user whose iPhone was stolen is still on the device, that allows the victim to remotely lock the phone and track it down by using the Find My iPhone feature — and that's why resellers or thieves may seek to remove the iCloud account.

    “In practice, ‘iCloud unlock’ as it’s often called, is a scheme that involves a complex supply chain of different scams and cybercriminals,” Motherboard reported. “These include using fake receipts and invoices to trick Apple into believing they’re the legitimate owner of the phone, using databases that look up information on iPhones, and social engineering at Apple Stores.” However, Motherboard also noted that “not all iCloud-locked phones are stolen devices.”

    — More news about tech incidents and blunders:

    It’s a lose-lose situation for Google’s Nest

    The Verge

    BURN RATE

    — Today in funding news:

    SoftBank has spent at least half of its nearly $100 billion Vision Fund in less than two years, increasing the pressure to raise more money if the world’s biggest tech investor wants to maintain that pace.

    The Wall Street Journal

    Daniel Ek says he wants to spend up to $500 million on acquisitions this year.

    Recode

    Calm.com Inc. -- which makes an app that guides people through relaxation exercises and encourages users to breathe -- has been valued at $1 billion in a funding round led by TPG Growth, the startup said on Wednesday.

    Bloomberg News

    On-demand electric scooter startup Lime announced that it has closed a $310 series D round, which values the company at $2.4 billion.

    VentureBeat

    CHECK-INS

    Today:

    Coming soon:

  • The Brookings Institution holds a panel discussion titled “Smart cities and artificial intelligence” on Feb. 11.
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    AI Weekly: Nuclear fusion, neurology, robotics, and other frontiers advanced by AI | killexams.com real questions and Pass4sure dumps

    Stop me if you’ve heard this before: Artificial intelligence (AI) will eliminate jobs, encode biases against ethnicities and genders, and automate war machines. And it might just lead to a third world war.

    Those and other dire AI predictions resurface continuously in reports and speeches by analysts, celebrities, and prominent researchers alike — admittedly not without reason. If developed recklessly, without transparency and safeguards, AI stands to amplify humanity’s traits. But that’s the doomsday scenario. In the right hands, AI promises to advance scientific frontiers beyond what was previously possible.

    In fact, it already is.

    A report this week by The Verge examines TAE Technologies, a 20-year-old AI startup collaborating with Google to develop tools that’ll unlock the key to affordable, efficient fusion energy production. It’s not as radical as it sounds: In 2018, a panel of advisers to the U.S. Department of Energy included AI and machine learning in a list of technologies they believe could “dramatically increase the rate of progress towards a fusion power plant.”

    Unrelated — but equally promising — recent work in the field of neuroscience involved a machine learning algorithm trained to decode signals from the human auditory cortex. A study published in Scientific Reports described a system that, with the aid of a vocoder (a synthesizer that produces sounds from an analysis of speech input), translated brain signals from epilepsy patients into intelligible speech. It comes just months after Canadian researchers detailed AI that digitally recreates faces test subjects have seen using electroencephalography (EEG) data.

    Earlier this month, a team at the National University of Singapore tapped AI to derive neurological insights of a different kind: the cellular characteristics of various regions in the brain. Fed with data collected from functional magnetic resonance imaging scanners, which measure brain activity by detecting changes associated with blood flow, their model was able to estimate parameters that enabled neuroscientists to infer properties without having to rely on physical probes.

    Yet another exciting development this week — this one robotic in nature — came from Columbia Engineering, where scientists created an AI system deployed on an articulated mechanical arm that, without foreknowledge of itself or its surroundings, produced a self-simulation it used to adapt to different situations and undertake unfamiliar tasks. Incredibly, the self-model was accurate to within four centimeters of the real-world arm, and directed the robot to grasp objects with 100 percent success.

    “Philosophers, psychologists, and cognitive scientists have been pondering the nature self-awareness for millennia, but have made relatively little progress,” Hod Lipson, professor of mechanical engineering at Columbia University and director of Columbia Engineering’s Creative Machines lab, where the study was performed, said in a statement. “We still cloak their lack of understanding with subjective terms like ‘canvas of reality,’ but robots now force us to translate these vague notions into concrete algorithms and mechanisms.”

    Algorithms and mechanisms, indeed. With any luck, it’s AI systems like these that will help realize realize the benefits analysts at the McKinsey Global Institute predict: a 1.2 percent increase in gross domestic product growth (GDP) for the next 10 years, and an additional 20 to 25 percent in net economic benefits — $13 trillion globally — in the next year alone. Here’s hoping.

    For AI coverage, send news tips to Khari Johnson and Kyle Wiggers — and be sure to bookmark their AI Channel.

    Thanks for reading,

    Kyle WiggersAI Staff Writer

    P.S. Please enjoy this video outlying a proposed 20-year roadmap for AI research from the Computing Community Consortium and National Science Foundation.

    From VB Google Assistant

    Above: Google Assistant

    Image Credit: Khari Johnson / VentureBeat

    Google releases dataset to help AI systems spot fake audio recordings

    In an effort to train systems to determine if an audio recording is real, Google has released a dataset of phrases spoken by its deep learning TTS models.

    Read the full story

    Dying pigs, AI, and the future of sound technology

    The power behind a high-tech solution to save piglets — and many other AI applications — is durable IP67 waterproof microphones from Vesper.

    Read the full story

    Alexa fingerprinting

    Above: An illustration of how fingerprints are used to match audio.

    Image Credit: Amazon

    Why Alexa usually won’t respond when someone says ‘Alexa’ on TV

    If all is going according to plan, Amazon’s Alexa won’t respond when she hears her name on a television broadcast. Here’s why.

    Read the full story

    Little Sophia

    Hanson Robotics debuts Little Sophia, a robot companion that teaches kids to code

    Hanson’s new miniature robotic companion, Little Sophia, aims to teach kids the fundamentals of programming, science, and math.

    Read the full story

    iRobot unveils Terra, a Roomba lawn mower

    iRobot has unveiled the Terra robot lawn mower. The Roomba for your lawn will be available in Germany and as part of a U.S. beta program later this year.

    Read the full story

    IBM releases Diversity in Faces, a dataset of over 1 million annotations to help reduce facial recognition bias

    IBM today released Diversity in Faces (DiF), a dataset of over 1 million annotations that aims to reduce bias in facial recognition systems.

    Read the full story

    Beyond VB

    We analyzed 16,625 papers to figure out where AI is headed next

    Our study of 25 years of artificial-intelligence research suggests the era of deep learning is coming to an end. Almost everything you hear about artificial intelligence today is thanks to deep learning. This category of algorithms works by using statistics to find patterns in data, and it has proved immensely powerful in mimicking human skills such as their ability to see and hear. (via MIT Technology Review)

    Read the full story

    Engineers translate brain signals directly into speech

    In a scientific first, neuroengineers have created a system that translates thought into intelligible, recognizable speech. This breakthrough, which harnesses the power of speech synthesizers and artificial intelligence, could lead to new ways for computers to communicate directly with the brain. (via Science Daily)

    Read the full story

    Learning Math For Machine Learning And Artificial Intelligence Programming

    Last year, I started writing about my experiences taking courses on machine learning and artificial intelligence. One of the big, unexpected problems I ran into was calculus and linear algebra. I’ve found that many online courses say you don’t need much mathematics fundamentals to be a programmer, but inevitably, even in beginner courses, the underlying math was important to understand what was going on. (via Forbes)

    Read the full story

    U.S., China take the lead in race for artificial intelligence: U.N.

    China and the United States are ahead of the global competition to dominate artificial intelligence (AI), according to a study by the U.N. World Intellectual Property Organization (WIPO) published on Thursday. (via Reuters)

    Read the full story



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