It's time for city administrations and local employers to close AI-related skills gaps. This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. While there is much discussion of how artificial intelligence will continue to transform industries and organizations, a key driver of AI's role in the global economy will be cities. How cities deal with coming changes will determine which ones will thrive in the future. Many cities have plans to become "smart cities" armed with AI-driven processes and services, like AI-based traffic control systems, to improve residents' lives.
Charles Brayne is EY's UK Chief Tax Innovation Officer and Partner and has a dual role. On the one hand, he works with clients to help them adopt new tax technologies and on the other, he oversees the implementation of AI technologies within EY's own tax business. Meanwhile, as EY's UK Chief Tax Data Scientist, Harvey Lewis works directly with tax and law professionals to create and deliver new AI tools and applications, as well as provide strategic oversight for their automation projects. In this keynote, Charles and Harvey discuss EY's lessons from implementing AI within their own organisation. With flagship shows in San Francisco, London, New York, Munich, Hong Kong, Singapore, and Cape Town, 2019 will see over 30,000 delegates from businesses globally joining the AI revolution through The AI Summit events.
The automotive industry isn't just being driven by people -- it's also driven by data, particularly as automobile manufacturers move toward autonomous, self-driving vehicles. Last year, Waymo cars drove 1.2 million miles in California. Meanwhile, Tesla, with its Autopilot program, is actively collecting data from hundreds of thousands of vehicles to predict how its cars might perform autonomously. So far the company has collected hundreds of millions of miles worth of data. What are these autonomous vehicle manufacturers doing with all of that data?
After 9/11, the U.S. enforced stricter control on immigration. This enforcement led to the birth of Homeland Security and ICE, but what is ICE exactly? SAN FRANCISCO – Hundreds of Google employees are calling on the company to pledge it won't work with U.S. Customs and Border Protection or Immigration and Customs Enforcement. A group of employees called Googlers for Human Rights posted a public petition urging the company not to bid on a cloud computing contract for CBP, the federal agency that oversees law enforcement for the country's borders. Bids for the contract were due Aug. 1.
With the enormous impact of artificial intelligence on business becoming increasingly clear and imminent, executives face critical (and quick) decisions on their AI strategy. The impact of these decisions will have far-reaching, long-term implications on the profitability and continued viability of organizations around the world. Earlier this year at the AI Frontiers conference in Santa Clara, California, we sat down with AI experts from some of the world's leading technology-first organizations to learn what advice they would give to executives as they determine how to best employ AI across their business. An edited version of their remarks follows. Li Deng, chief AI officer, Citadel: I think everybody should embrace these modern AI capabilities.
Understanding an emotion isn't as simple as noticing a smile-- but we still look to facial movements for everything from navigating everyday social interactions to the development of emotionally attuned artificial intelligence. According to a July 2019 study from researchers at Northeastern and the California Institute of Technology, facial expressions only reflect the surface of emotions: The culture, situation, and specific individual around a facial expression add nuance to the way a feeling is conveyed. For example, the researchers note that Olympic athletes who won medals only smiled when they knew they were being watched by an audience. While they were waiting behind the podium or facing away from people, they didn't smile (but were probably still happy). These results reinforce the idea that facial expressions aren't always reliable indicators of emotion.
Give us your feedback, and we'll help you learn more about where and how police security robots are being used This summer, the police department in Huntington Park, California debuted the newest member of its squad: A 400 pound autonomous robot developed by Knightscope Inc. The sleek "RoboCop" has gotten a fair amount of attention for its patrols of the local park, including a featured segment on NBC's "Today" show. MuckRock's JPat Brown, submitted a California Public Records Act request for materials related to the robot's use and, through a release earlier this month, found that the machine was equipped with the ability to scan and store license plate information and video footage, which it can then "analyze" for bystanders and potential criminals. MuckRock wants your help in learning more about how these machines are being used and acquired. The roving robot security guard has found employment with private companies, malls, casinos, and airports, but the use by official law enforcement is still in its earlier stages.
Utilities and energy retailers from across the globe will gather at the exclusive Bidgely Engage 2019 conference under the banner of'Unlock the Power of UtilityAI ' this September 11-13 in Napa, Calif. Engage 2019 is utility artificial intelligence (AI) leader Bidgely's third annual event that brings together utilities, AI experts and tech leaders to discuss trends, best practices and lessons learned in applied AI for the energy industry, as well as to enjoy networking in California's legendary wine country. This press release features multimedia. "For Engage, we pull in industry luminaries and tech leaders from outside the energy space to learn from their AI journeys and to explore how AI and machine learning advancements specifically for energy is delivering compounding benefits to utilities around the world," said Bidgely CMO Gautam Aggarwal. The shift of AI becoming mainstream in the energy industry was recently cited in a report by Navigant Research, covering how the future of utilities will be driven by the emerging disciplines of machine learning and artificial intelligence.
Despite facial recognition's seal of approval from law enforcement agencies across the U.S., recent experiments show the technology is far from infallible. In a demonstration by the American Civil Liberties Union, about 26 California lawmakers were misidentified by face-matching software built by Amazon, putting the rate of a mismatch at about 1 in 5. The results mimic a similar test done by the advocacy group in 2018 when a test saw Amazon's software, called'Rekognition', mismatch 28 members of congress -- many of whom were people of color. The ACLU says a test of Amazon's facial recognition software misidentified 1 in 5 lawmakers fed into its system Similarly, the software attempted to match their head shots against a database of known criminals -- a process that has become commonplace for the at least 200 departments across the U.S. who use Rekognition software. According to the LA Times, the test is fueling calls from California legislators to limit the technology's application in a law enforcement capacity, including its integration with police body cameras.
Reprinted with permission from Quanta Magazine's Abstractions blog. It's very easy to break things in biology," said Loren Frank, a neuroscientist at the University of California, San Francisco. "It's really hard to make them work better." Yet against the odds, researchers at the New York University School of Medicine reported earlier this summer that they had improved the memory of lab animals by tinkering with the length of a dynamic signal in their brains--a signal that has fascinated neuroscientists like Frank for decades. The feat is exciting in its own right, with the potential to enhance recall in people someday, too. But it also points to a more comprehensive way of thinking about memory, and it identifies an important clue, rooted in the duration of a neural event, that could pave the way to a greater understanding of how memory works. Since the 1980s, scientists have been tuning in to short bursts of synchronized neural activity in the brain area called the hippocampus.