If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Not all tech billionaires are advocates of artificial intelligence (AI). Some are so worried about the effects AI is having on society that they are spending their billions trying to monitor it. This, in turn, has created a new frontier in philanthropy. For Pierre Omidyar, the founder of eBay, AI is such a concern that last year he set up Luminate, a London-based organization that advocates for civic empowerment, data and digital rights, financial transparency, and independent media. Pierre Omidyar, the founder of eBay, has supported monitoring artificial intelligence.
Deep learning computer vision startup allegro.ai is set to showcase its latest product offering, hosted at the Intel partner booth (booth #307), during the Embedded Vision Summit which will take place in Santa Clara, California on May 20-May 23, 2019. The company's platform and product suite simplify the process of developing and managing deep learning-powered perception solutions - such as for autonomous vehicles, medical imaging, drones, security, logistics and other use cases. The platform enables engineering and product managers to get the visibility and control they need, while research scientists focus their time on research and creative output. The result is meaningfully higher quality products, faster time-to-market, increased returns to scale, and materially lower costs. The company's investors include Robert Bosch Venture Capital GmbH, Samsung Catalyst Fund, Hyundai Motor Company, and other venture funds.
An artificial intelligence (AI) trained on the photos of a dog, crab, and duck (top) would be vulnerable to deception because these photos contain subtle features that could be manipulated. The images on the bottom row don't contain these subtle features, and are thus better for training secure AI. NEW ORLEANS, LOUISIANA--A hacked message in a streamed song makes Alexa send money to a foreign entity. A self-driving car crashes after a prankster strategically places stickers on a stop sign so the car misinterprets it as a speed limit sign. Fortunately these haven't happened yet, but hacks like this, sometimes called adversarial attacks, could become commonplace--unless artificial intelligence (AI) finds a way to outsmart them.
Artificial intelligence uses data science and algorithms to automate, optimize and find value hidden from the human eye. By one estimate, artificial intelligence will drive nearly $2 trillion worth of business value worldwide in 2019 alone. Hence, that's an excellent incentive to grab a slice of the AI bounty. Also, fortune favors those who get an early start. Therefore, the laggards might not be so fortunate.
The first generation to grow up entirely in the 21st century will never remember a time before smartphones or smart assistants. They will likely be the first children to ride in self-driving cars, as well as the first whose healthcare and education could be increasingly turned over to artificially intelligent machines. Futurists, demographers, and marketers have yet to agree on the specifics of what defines the next wave of humanity to follow Generation Z. That hasn't stopped some, like Australian futurist Mark McCrindle, from coining the term Generation Alpha, denoting a sort of reboot of society in a fully-realized digital age. "In the past, the individual had no power, really," McCrindle told Business Insider.
'Physiological changes are correlated with these biological preparations to protect one-self from danger.' According to the researchers, teaching the algorithm when a person might feel more anxious in a given situation could serve as a guide to help machines avoid risks. 'Our hypothesis is that such reward functions can circumvent the challenges associated with sparse and skewed rewards in reinforcement learning settings and can help improve sample efficiency,' the team explains. The researchers put the autonomous software through a simulated maze filled with walls and ramps to see how they performed with fear instilled in them. And, compared to an AI that was trained based only on wall proximity, the system that had learned fear was much less likely to crash. 'A major advantage of training a reward on a signal correlated with the sympathetic nervous system responses is that the rewards are non-sparse - the negative reward starts to show up much before the car collides,' the researchers wrote. 'This leads to efficiency in training and with proper design can lead to policies that are also aligned with the desired mission.'
The Diet on Friday enacted legislative revisions aimed at creating systems to ensure the safety of self-driving vehicles. The revisions to the Road Transport Vehicle Act, approved unanimously by the House of Councilors at a plenary session, call for the applying of vehicle safety standards to self-driving equipment necessary to check the surroundings, including cameras and radars. Under the revised law, special certification will be granted to auto safety inspection business operators capable of undertaking maintenance work for self-driving equipment. The original law did not have provisions that assumed vehicles would ever be self-driving. The revisions also require automakers to provide technical information necessary to carry out inspections of self-driving equipment.
WASHINGTON - U.S. computer scientist Katie Bouman, who became a global sensation over her role in generating the world's first image of a black hole, has described the painstaking process as akin to listening to a piano with missing keys. Testifying before Congress on Thursday, the postdoctoral fellow at the Harvard Smithsonian Center for Astrophysics also suggested that the technology developed by the project could have practical applications in the fields of medical imaging, seismic prediction and self-driving cars. A photo released last month of the star-devouring monster in the heart of the Messier 87 (M87) galaxy revealed a dark core encircled by a flame-orange halo of white hot plasma. Because M87 is 55 million light-years away, "This ring appears incredibly small on the sky: roughly 40 microarcseconds in size, comparable to the size of an orange on the surface of the moon as viewed from our location on Earth," said Bouman. The laws of physics require a telescope the size of our entire planet to view it.
NAGOYA - Toyota Motor Corp. is considering offering autonomous driving technologies to ride-hailing firms, sources close to the matter said Thursday, in its latest push to become a company offering not only cars but also various mobility services. The automaker is planning to supply a new driverless system to be developed with U.S. ride-hailing giant Uber Technologies Inc. to companies such as Grab Taxi Holdings Pte Ltd. of Singapore and ANI Technologies Pvt. Ltd.'s Ola of India, the sources said. Toyota said last month it will jointly invest $1 billion in Uber's new subsidiary to develop autonomous vehicles, together with SoftBank Group Corp. and auto parts supplier Denso Corp. SoftBank Group is the biggest shareholder in Uber and has also invested in Grab and Ola. Toyota is also a stakeholder in Grab, which has a wide range of businesses across Southeast Asia.