Daily Archives: July 10, 2017

Ethics and Governance AI Fund funnels $7.6M to Harvard, MIT and independent research efforts – TechCrunch

Posted: July 10, 2017 at 8:20 pm

A $27 million fund aimed at applying artificial intelligence to the public interest has announced the first targets for its beneficence: $7.6 million will be split unequally between MITs Media Lab, Harvards Berkman Klein Center and seven smaller research efforts around the world.

The Ethics and Governance of Artificial Intelligence Fund was created by Reid Hoffman, Pierre Omidyar and the Knight Foundation back in January; the intention was to ensure that social scientists, ethicists, philosophers, faith leaders, economists, lawyers and policymakers have a say in how AI is developed and deployed.

To that end, this first round of fundings supports existing organizations working along those lines, as well as nurturing some newer ones.

The lions share of this initial round, $5.9 million, will be split by MIT and Harvard, as the initial announcement indicated. Media Lab is, of course, on the cutting edge of many research efforts in AI and elsewhere; Berkman Klein focuses more on the legal and analysis side of things.

The funds focuses are threefold:

Those two well-known organizations will be pursuing issues related to those (theyre already working together anyway), but the seven smaller efforts are also being more modestly funded.

Digital Asia Hub, FAT ML and ITS Rio will be hosting conferences and workshops to which experts across fields will be invited, advancing and enriching the conversations around various AI issues. ITS Rio also will be translating debates on the topics a critical task, since there are important thinkers worldwide and these conversations shouldnt be limited by something as last-century as native language.

On the research side, AI Now will be looking at bias in data collection and healthcare; the Leverhulme Center will be looking at interpretability of AI-related data; Data & Society will be conducting ethnographically-informed studies on the human element of AI and data for example, how demographic imbalances in who runs real estate businesses might inform the systems they create and use.

Access Now (which doesnt really fit in either category) will be working to create a set of guidelines for businesses and services looking to conform to major upcoming data regulations in the EU.

For this initial cohort, we looked for projects that fit our goal of building networks across fields, and that would complement the work of our anchor partners at the Media Lab and Berkman Klein, said Knights VP of Technology and Innovation, John Bracken, in an email to TechCrunch.

We think its vital that civil society has a strong voice in the development of artificial intelligence and machine learning. We see these projects as part of a growing set of researchers, engineers, and policy makers who will be part of ensuring that these new tools are developed ethically.

Although the funds are in the public interest, they arent just handouts; I asked Bracken whether there were any concrete expectations for the organizations involved.

Absolutely, he said. The discussion around artificial intelligence is no longer a far-off, speculative thing. Each of the grants were making have deliverables planned for the next twelve months, and well be showcasing them as they launch.

Well hear about them soon, no doubt.

A few million bucks may seem like a drop in the bucket among the herds of unicorns we track here at TechCrunch, but on the other hand it may seem cheap when the studies and events being funded come to fruition and result in the kind of productive dialogue this fast-moving field needs.

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If you’re not a white male, artificial intelligence’s use in healthcare could be dangerous – Quartz

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Healthcare inequalities are systemic and closely intertwined with social inequalities. In the US, black men and women can be expected to live a decade less than their white counterparts, and are also much more likely to die from heart disease, various types of cancer, and stroke. Rates of diabetes in Hispanic Americans are around 30% higher than in whites. Gay, lesbian, and bisexual adults are twice as likely to suffer with mental-health problems. Access to and quality of healthcare is similarly dismal when it comes to diversity, starkly cutting across racial, social, and economic divides.

If developed and used sensitively, artificial intelligence systems could go a long way to mitigating these inequalities by removing human bias. A careless approach, however, could make the situation worse.

AI has the potential to revolutionize healthcare, ushering in an age of personalized, accessible, and lower-cost medicine for all. But theres also a very real risk that those same technologies will perpetuate existing healthcare inequalities. A large part of this risk comes from existing biases in healthcare data.

AIs transformative potential comes from its ability to interrogate, parse, and analyze vast amounts of data. From this information, AI systems can find patterns and links that would have previously required great levels of expertise or time from human doctors. For this reason, AI is particularly useful in diagnostics, creating personalized treatment plans, and even helping doctors keep up to date with the latest medical research.

If we want to use AI to facilitate a more personalized medicine for all, it would help if we could first provide medicine that works for half the population.But this use of data risks exacerbating existing inequalities. Data coming from randomized control trials are often riddled with bias. The highly selective nature of trials systemically disfavor women, the elderly, and those with additional medical conditions to the ones being studied; pregnant women are often excluded entirely. AIs are trained to make decisions using this skewed data, and their results will therefore favor the biases contained within. This is especially concerning when it comes to medical data, which weighs heavily in the favor of white men.

The consequences of this oversight are pernicious. Women are far more likely to suffer the deleterious side effects of medication than men. Pregnant women get sick, but the consequences of taking many medications when pregnant are chronically understudied, or worse yet, unknown entirely. Women are far less likely to receive the correct treatment for heart attacks because their symptoms do not match typical (read: male) symptoms.

If evidence-based medicine is already far less evidence-based for anybody who is not a white male, how can the use of this unmodified data do anything other than unwittingly perpetuate this inequality? If we want to use AI to facilitate a more personalized medicine for all, it would help if we could first provide medicine that works for half the population.

The effects of this data can be even more insidious. AI systems often function as black boxes, which means technologists are unaware of how an AI came to its conclusion. This can make it particularly hard to identify any inequality, bias, or discrimination feeding into a particular decision. The inability to access the medical data upon which a system was trainedfor reasons of protecting patients privacy or the data not being in the public domainexacerbates this. Even if you had access to that data, the often proprietary nature of AI systems means interrogation would likely be impossible. By masking these sources of bias, an AI system could consolidate and deepen the already systemic inequalities in healthcare, all while making them harder to notice and challenge. Invariably, the result of this will be a system of medicine that is unfairly stacked against certain members of society.

This is especially true of less-connected communities. There is already an unhealthy digital divide where poorer and older members of society dont have access to the digital technologies that can be used to improve healthcare. This also means theyre not producing the data that comes with its use, and as this chasm grows, the system will stack against older and poorer patients even further than it currently does. Even if they were to readily gain access to these technologies in the next decade, it would be too late, as the systems will already be calibrated for younger, more urban bodies.

If we dont closely monitor AIs use in healthcare, theres a risk it will perpetuate existing biases and inequalities by building systems with data that systemically fails to account for anyone who is not white and male. At its core, this is not a problem with AI, but a broader problem with medical research and healthcare inequalities as a whole. But if these biases arent accounted for in future technological models, we will continue to build an even more uneven healthcare system than what we have today.

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Google hopes to prevent robot uprising with new AI training technique – The Independent

Posted: at 8:20 pm

Designed by Pierpaolo Lazzarini from Italian company Jet Capsule. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

Jet Capsule/Cover Images

A humanoid robot gestures during a demo at a stall in the Indian Machine Tools Expo, IMTEX/Tooltech 2017 held in Bangalore

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A humanoid robot gestures during a demo at a stall in the Indian Machine Tools Expo, IMTEX/Tooltech 2017 held in Bangalore

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Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty Images

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

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The giant human-like robot bears a striking resemblance to the military robots starring in the movie 'Avatar' and is claimed as a world first by its creators from a South Korean robotic company

Jung Yeon-Je/AFP/Getty Images

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty Images

Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi

Rex

Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session

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A test line of a new energy suspension railway resembling the giant panda is seen in Chengdu, Sichuan Province, China

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A test line of a new energy suspension railway, resembling a giant panda, is seen in Chengdu, Sichuan Province, China

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A concept car by Trumpchi from GAC Group is shown at the International Automobile Exhibition in Guangzhou, China

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A Mirai fuel cell vehicle by Toyota is displayed at the International Automobile Exhibition in Guangzhou, China

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A visitor tries a Nissan VR experience at the International Automobile Exhibition in Guangzhou, China

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A man looks at an exhibit entitled 'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London

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A new Israeli Da-Vinci unmanned aerial vehicle manufactured by Elbit Systems is displayed during the 4th International conference on Home Land Security and Cyber in the Israeli coastal city of Tel Aviv

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Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S

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The Jaguar I-PACE Concept car is the start of a new era for Jaguar. This is a production preview of the Jaguar I-PACE, which will be revealed next year and on the road in 2018

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Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot 'TRX03' and other robots during a demonstration in Tokyo, Japan

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Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot 'TRX03'

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Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot 'TRX03' performs during its unveiling in Tokyo, Japan

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Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China

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The interior of Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China

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Singulato Motors' concept car Tigercar P0

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A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China

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Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo. The Connected company is a part of seven Toyota in-house companies that was created in April 2016

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A Toyota Motors employee demonstrates a smartphone app with the company's pocket plug-in hybrid (PHV) service on the cockpit of the latest Prius hybrid vehicle during Toyota's "connected strategy" press briefing in Tokyo

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An exhibitor charges the battery cells of AnyWalker, an ultra-mobile chasis robot which is able to move in any kind of environment during Singapore International Robo Expo

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A robot with a touch-screen information apps stroll down the pavillon at the Singapore International Robo Expo

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An exhibitor demonstrates the AnyWalker, an ultra-mobile chasis robot which is able to move in any kind of environment during Singapore International Robo Expo

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Robotic fishes swim in a water glass tank displayed at the Korea pavillon during Singapore International Robo Expo

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An employee shows a Samsung Electronics' Gear S3 Classic during Korea Electronics Show 2016 in Seoul, South Korea

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Visitors experience Samsung Electronics' Gear VR during the Korea Electronics Grand Fair at an exhibition hall in Seoul, South Korea

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Amy Rimmer, Research Engineer at Jaguar Land Rover, demonstrates the car manufacturer's Advanced Highway Assist in a Range Rover, which drives the vehicle, overtakes and can detect vehicles in the blind spot, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire

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Chris Burbridge, Autonomous Driving Software Engineer for Tata Motors European Technical Centre, demonstrates the car manufacturer's GLOSA V2X functionality, which is connected to the traffic lights and shares information with the driver, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire

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Ford EEBL Emergency Electronic Brake Lights is demonstrated during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire

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Full-scale model of 'Kibo' on display at the Space Dome exhibition hall of the Japan Aerospace Exploration Agency (JAXA) Tsukuba Space Center, in Tsukuba, north-east of Tokyo, Japan

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Miniatures on display at the Space Dome exhibition hall of the Japan Aerospace Exploration Agency (JAXA) Tsukuba Space Center, in Tsukuba, north-east of Tokyo, Japan. In its facilities, JAXA develop satellites and analyse their observation data, train astronauts for utilization in the Japanese Experiment Module 'Kibo' of the International Space Station (ISS) and develop launch vehicles

EPA

The robot developed by Seed Solutions sings and dances to the music during the Japan Robot Week 2016 at Tokyo Big Sight. At this biennial event, the participating companies exhibit their latest service robotic technologies and components

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The robot developed by Seed Solutions sings and dances to music during the Japan Robot Week 2016 at Tokyo Big Sight

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Government and industry are working together on a robot-like autopilot system that could eliminate the need for a second human pilot in the cockpit

AP

Aurora Flight Sciences' technicians work on an Aircrew Labor In-Cockpit Automantion System (ALIAS) device in the firm's Centaur aircraft at Manassas Airport in Manassas, Va.

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Stefan Schwart and Udo Klingenberg preparing a self-built flight simulator to land at Hong Kong airport, from Rostock, Germany

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This Is How Google Wants to ‘Humanize’ Artificial Intelligence – Fortune

Posted: at 8:20 pm

Googles plans a big research project aimed at making artificial intelligence more useful.

The search giant debuted an initiative on Monday that brings together various Google researchers to study how people interact with software powered by AI technologies like machine learning.

Companies like Facebook ( fb ) and Google ( goog ) have been using AI to improve tasks like quickly translating languages and recognizing objects in pictures. But the technology has the potential to be able to do more.

The problem for companies like Google is to figure out more uses for AI beyond simply improving existing products and create entirely new products based on AI.

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One way Google hopes the project, called PAIR (short for People plus AI Research), will lead to more compelling uses of AI is to focus on the human side, Google researchers Martin Wattenberg and Fernanda Vigas wrote in a blog post. They want to figure out how and where to best use it from a human standpointand not just simply create AI-powered software for its own sake.

We don't have all the answersthat's what makes this interesting researchbut we have some ideas about where to look, the two researchers wrote.

Some of PAIRs goals include looking at how professionals like doctors, designers, farmers, and musicians could use AI to aid and augment their work. The researchers did not mention how exactly PAIR will do accomplish this in the Monday announcement, but Google has been already looking at how AI can aid specific industries like healthcare through its DeepMind business unit , for example.

The initiative also hopes to discover ways to ensure machine learning is inclusive, so everyone can benefit from breakthroughs in AI. Left unsaid is the fact that big companies like Google and Facebook are hiring many of the top leaders in areas like deep learning , which has led to some academics questioning whether big companies are hoarding AI talent and failing to share breakthroughs in AI to increase their own profits.

The researchers also wrote that PAIR would create AI tools and guidelines for developers that would make it easier to build AI-powered software thats easier of troubleshooting if something goes wrong. One of the ways AI-powered software is different from traditional varieties is that conventional testing and debugging methods fail to work on AI software that constantly changes based on the data it ingests.

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How artificial intelligence could battle sexual harassment in the workplace – Fox News

Posted: at 8:20 pm

Your email was blocked, weve contacted an HR representative.

This message could go a long way towards weeding out some of the sexual explicit messaging in the workplace, most recently highlighted by a New York Timesreport.

Although it would by no means block all suggestive comments that occur in the workplace, there is a way to make an artificial intelligence (AI) become more aware of what is happening in the digital realm. This could happen as employees increasingly use workplace tools like Slack and Microsoft Teams, send emails using a corporate server or text using company-managed apps.

AI services in the workplace already can analyze workers e-mails to determine if they feel unhappy about their job, says Michelle Lee Flores, a labor and employment attorney. In the same way, AI can use the data-analysis technology (such as data monitoring) to determine if sexually suggestive communications are being sent.

RANSOMWARE: WHAT IS IT?

Of course, there are privacy implications. In terms of Slack, it is an official communication channel sanctioned and managed by the company in question. The intent is to discuss projects related to the firm, not to ask people out on a date. Flores says AI could be seen as a reporting tool to scan messages and determine if an innocuous comment could be misinterpreted.

If the computer and handheld devices are company issued, employees should have no expectation of privacy as to anything in the emails or texts, she says.

When someone sends a sexually explicit image over email or one employee starts hounding another, an AI can be ever watchful, reducing how often the suggestive comments and photos are distributed. Theres also the threat of reporting. An AI can be a powerful leveraging tool, one that knows exactly what to look for at all times.

More than anything, AI could curb the tide. A bot installed on Slack or on a corporate email server could at least look for obvious harassment issues and flag them.

Dr. Jim Gunderson, an AI expert, says he could see some value in using artifical intelligence as a reporting tool, and could augment some HR functions. However, he notes that even humans sometimes have a hard time determining whether an off-hand comment was suggestive or merely a joke. He says sexual harassment is usually subtle -- a word or a gesture.

HOW AI FIGHTS THE WAR ON FAKE NEWS

If we had the AI super-nanny that could monitor speech and gesture, action and emails in the workplace, scanning tirelessly for infractions and harassment it would inevitably exchange a sexual-harassment free workplace for an oppressive work environment, he adds.

Part of the issue is that an AI can make mistakes. When Microsoft released a Twitter bot called Tay into the wild last year, users trained it to use hate speech.

Though artificial intelligence has become more prevalent in recent years, the technology is far from perfect. An AI could wrongly identify a message that is discussing the problem of sexual abuse or read into a comment that is meant as a harmless joke, unnecessarily putting an employee under the microscope.

But still, there is hope. Experts say an AI that watches our conversations is impartial -- it can flag and block content in a way that is unobtrusive and helpful, not as a corporate overlord that is watching everything we say.

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AI is Changing Everything Even Science Itself – Futurism

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In BriefAI is being used for much more than many realize. In fact,particle physicists are currently pushing the limits of ourunderstanding of the universe with the help of these technologies. AI Particle Physics

Many might associate current artificial intelligence (AI) abilities with advanced gameplay, medical developments, and even driving. But AI is already reaching far beyond even these realms. In fact, AI is now helping particle physicists to discover new subatomic particles.

Particle physicists began integrating AI in the pursuit of particles as early as the 1980s, as the process of machine learning suits the hunt for fine patterns and subatomic anomalies particularly well. But, once an unexplored and novel technique, AI is now a fully integrated and standard part of everyday life within particle physics.

Pushpalatha Bhat, physicist at Fermilab, described the problem in an interview with Science Magazine. This is the proverbial needle-in-the-haystack problemThats why its so important to extract the most information we can from the data. And this extraction is where AI comes in handy. And this ability to extract data lent itself to the 2012 discovery of the Higgs boson particle, which occurred using the LHC.

While AI has not and will never replace the worlds scientists, this unparalleled tool is being applied in ways that many could never have even predicted. It is, as previously mentioned, helping researchers to push the boundaries of understanding. Its helping us to create modes of transportation that not only make daily life easier, but save countless lives.

AI is proving to be an essential component in the current quest to travel to and explore Mars, allowing probes to be controlled remotely and trusted to make changes in behavior according to a changing environment. And, even beyond medical advances, AI is making treatments more enjoyable for both patients and healthcare providers, altering an often-intimidating system.

AI technologies are also being designed that are capable of creating art. From paintings to music, we are learning that advanced machine learning algorithms are more than just the new face of industry. This makes a lot of people uneasy. Images of Will Smith in iRobot come into view, the voice of Hal 9000 from 2001: A Space Oddysey starts speaking, and our science fiction nightmares seem realized.

But, while AI is not yet a perfectly integrated part of daily life, it is certainly pushing us forward. So, who knows, thanks to AI, we may soon really put humans onto the red planet and particle physicists might smash protons just right and revealmore about our universe than we could have ever hoped to know.

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Las Vegas to Pilot WayCare’s Accident Prediction Artificial … – Government Technology

Posted: at 8:20 pm

WayCare, the startup that wants to use artificial intelligence (AI) to predict traffic accidents and congestion, has scored its first U.S. pilot project with the city of Las Vegas.

The six-month paid pilot, which should officially begin in September, will see a coalition of city, state and county agencies test out a new way of doing things. Where a typical traffic center might rely on calls to send out responders to an accident, the idea behind WayCare is to anticipate when and where those accidents might happen so that agencies like Nevada Highway Patrol can put resources in place beforehand.

If its successful, that means that at the very least those responders can be onsite, helping people and cleaning up the mess, more quickly. The city and states hope is that the presence of those resources might even prevent accidents.

They can know where they should place their vehicles, visibly, within the next two hours, said Noam Maital, WayCares chief executive officer.

The pilot projects cost is in the tens of thousands of dollars, Maital said, though he declined to name a specific number. It will run on two corridors along U.S. 95 and Interstate 15.

In totality, the project is about more than traffic prediction its about data analytics and situational awareness. Its not news to traffic management officials and highway patrol officers that accidents are more likely to happen when a vehicle is parked on a highway shoulder or debris is cluttering up a lane.

But its one thing for a veteran police officer to know from experience, and another entirely to pull diverse data streams into a central location and analyze them.

There will be an overlap like, yes, the highway patrolman was right, but why was he right? said Dan Langford, director of the Nevada Center for Advanced Mobility.

The purpose of the program will be to crunch large data sets to find relationships where humans might not think to look. Perhaps its not just cars swerving to avoid a blown-out tire in the passing lane maybe its the angle of the sun in the sky, or a dust cloud floating across the highway. Maybe its something else.

With the rich analytics you see the correlation between those types of events and the situation on the roadways, said Brian Hoeft, director of traffic management for the Regional Transportation Commission of Southern Nevada.

In the longer term, the use of learning algorithms to understand congestion might help the city better focus its efforts and funding to accommodate more traffic.

And at the moment, a looming increase in traffic is very much on the minds of southern Nevadas government officials. Following the development of a long-standing notoriety among sports fans for lacking professional teams despite its size, Las Vegas has attracted two teams in one fell swoop the National Hockey League expansion Golden Knights and the National Football Leagues Raiders, formerly of Oakland, Calif. The latter is getting a brand-new stadium. Then theres the two new casinos, the W Las Vegas and Lucky Dragon, along with Resorts World Las Vegas aiming for a 2020 grand opening.

The project is forward-looking in another way: It anticipates a future of connected and autonomous vehicles. The city is placing more than one bet on that future; it created an innovation district last year as a means of testing out new transportation technologies, and early this year it pilot-tested a self-driving shuttle on Fremont Street.

Connected and autonomous vehicles become a source of data that can be used in WayCares solution, Langford said. So an example would be if an autonomous vehicle sees a vehicle on the side of the roadway, it can report that.

WayCare is also having talks with Ft. Lauderdale and Tampa, Fla., to potentially set up pilot projects. Maital said there are other cities considering pilots as well.

What were looking at,"Maital said, "is first to really establish the relationship with the city of Las Vegas to show that this is something theyre going to need on a day-to-day basis in terms of managing incidents, taking proactive measures and [enabling cooperation] between all the agencies."

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Artificial Intelligence And Digital Transformation Pioneers Join CarLabs – PR Newswire (press release)

Posted: at 8:20 pm

Professor Moshe BenBassat has been a leader in Artificial Intelligence for several decades. During a long academic career with positions at Tel Aviv University, USC, and UCLA, Professor BenBassat made significant contributions in Pattern Recognition, Artificial Intelligence, Optimization, Data Science and Machine Learning.

Following his invention of "service chain optimization," he founded ClickSoftware which has been leading this space with AI-centric products since its inception in 1997. Moshe served as ClickSoftware's CEO until 2015, at which point it was acquired for nearly $0.5 Billion. Moshe also founded Plataine which is focused on intelligent automation for smart manufacturing, leveraging Industrial Internet of Things (IIoT) and Artificial Intelligence technologies. In addition to being an advisory board member, Professor BenBassat also is an investor in CarLabs.

Ryan McManus is SVP of Partnerships and Corporate Development for EVRYTHNG and President of EVRYTHNG Inc, an IoT Smart Products platform company; he also serves on the Board of Directors for Nortech Systems. He has over 20 years' experience as a leader in both digital business startups and large corporate digital transformations. He previously founded Accenture's Digital Business Strategy and Transformation practice and served as the Accenture Strategy COO and a leader in the firm's Corporate Strategy, M&A and International Expansion businesses. He is the author of several articles on digital business and corporate strategy, serves on two advisory boards with the Aspen Institute, and has served as an advisor to Fortune 100 companies, technology startups and non-profits.

CarLabs was founded and initially funded by a team of automotive insiders and executives including founder of NewCars.com and former VP of R&D for Cars.com and Shopzilla, Martin Schmitt; e-commerce pioneer, former Head of Internet Strategy at Packard Bell/NEC, and former Co-Founder and CEO of MatchCraft, Uzi Eliahou; and former COO of NewCars.com and former VP of Search Marketing at Cars.com, Isabel Sopoglian.

"We are extremely pleased to have these seasoned advisors on our team as we lead the industry in adopting conversational commerce technology," said Martin Schmitt, CarLabs Co-Founder and CEO. "We believe our platform can significantly help the auto industry more effectively navigate its rapidly evolving relationship with today's consumers."

CarLabs aggregates all vehicle data into a single platform that delivers information to users conversationally on any messaging platform. This creates a powerful, multi-channel marketing platform that synchronizes campaign messages and improves shopping metrics for car sellers while improving the customer experience by reducing the friction points to a sale.

The company is currently white labeling its platform for auto brands and turning complex data into simple, personalized conversations on whichever messaging platform car shoppers choose to use: Facebook Messenger, SMS, web, Amazon Alexa, etc.

"After decades in the Artificial intelligence space I can safely say that now is a transformative time for the technology and CarLabs is the leader in the automotive conversational marketing space," said Professor BenBassat advisor and angel investor at CarLabs.

About CarLabs

CarLabs, headquartered in Calabasas, California, has created a first-of-its kind, AI-driven, ad-tech and conversational commerce platform. Its technology translates millions of complex automotive data points into direct answers to car shopper and owner questions. Questions like "What is the most fuel efficient SUV under $35,000?"

Now automotive companies can leverage the power of artificial intelligence and messaging to enable effective multi-channel sales and marketing campaigns across desktop, mobile, email, and other digital channels. To learn more visit http://www.carlabs.com and follow-us on LinkedIn, Twitter and Facebook.

To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/artificial-intelligence-and-digital-transformation-pioneers-join-carlabs-300484662.html

SOURCE CarLabs

https://www.carlabs.com

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How China Emerged as the World Leader in Artificial Intelligence Research – eMarketer

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Melanie Cook Head of Strategy and Business Consultancy, Southeast Asia SapientRazorfish

Of the countries in Asia-Pacific, China is taking the lead in artificial intelligence (AI) research. Its even eclipsing the US on an international level, according to Melanie Cook, head of strategy and business consultancy for Southeast Asia at digital agency SapientRazorfish. eMarketers David Green spoke with Cook about the growing importance of AI for businesses in the region and how China pulled ahead of the pack.

eMarketer: Artificial intelligence is a broad notion. What is considered AI, and what are some examples?

Melanie Cook: AI includes machine learning, algorithm and data analysis. Theres definitely a sliding scale of AI-ness, but its now all been clumped together.

For example, IBM calls [question-answering computer system] Watson a platform of services, not AI, because Watson will help churn through all of the dark data you havethe data that has been collecting and collecting, but because of its complexity and its sheer volume, its dark. IBM was born out of the human-computer interaction school of thought, as opposed to the AI school.

Interestingly, IBM recently featured Watson in a campaign where it helps a fashion designer create a clothing line in Australia. Watson analyzed trends from over the past 10 to 20 years as well as social data and what people and experts were talking about, and then wrapped it all up into a foresight package for the designer, who then created her next collection. Its a human giving Watson a task and then interpreting what Watson has given back rather than just allowing Watson to design the clothing.

eMarketer: How do you explain the value of artificial intelligence to your clients?

Cook: There are predictive experiences that absolutely need AI. Say youre in customer service. Someone calls and if youre linked to their Netflix or you know they have kids, for example, you can have a more well-rounded conversation with them.

AI and automation make the human more intelligent so they can have more relevant conversations with the customer.

AI and automation make the human more intelligent so they can have more relevant conversations with the customer, and eventually have a positive impact on the business. Our consultancy ensures that AI and data analysis as a whole are seen as augmentative to the people within the organization were working with.

eMarketer: What progress in AI has been made in Asia-Pacific compared with the rest of the world?

Cook: [President] Trump is pulling back on government-funded AI research. He has proposed a meager $175 million towards AI research in the US, leaving the rest of the research to be done by private institutions like Google, Amazon, Apple, Boston Dynamics, etc.

China is leading in Asia-Pacific when it comes to AI research. In China, the private and public sectors are basically one, and theyre spending billions on AI as China grapples with an aging population. Given that there are far fewer economically active people, theyre looking to automate because they realize those people need to generate higher income per capita. They will automate away cheap labor and release these economically active kids who will look after their elders so that they can command a higher salary.

In China, the private and public sectors are basically one, and theyre spending billions on AI as China grapples with an aging population.

eMarketer: What about in Singapore, where youre based?

Cook: Technology adoption rates are much slower in Singapore purely because we have less than 10% of the population of the US, let alone India or China. Singapore is also quite a risk-averse cultureAI isnt an imperative for a market this small.

A lot of big businesses in the region are still suffering from an inability to disrupt themselves and change. Change agents tend to be ones that are first concentrating on the market, and when the market is small, that means the change agent is small as well.

Continued here:

How China Emerged as the World Leader in Artificial Intelligence Research - eMarketer

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Is artificial intelligence fuelling natural stupidity? - OPINION - The ... - The Hindu

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