By the year 2030, artificial intelligence (A.I.) will have changed the way we travel to work and to parties, how we take care of our health and how our kids are educated. Focused on trying to foresee the advances coming to A.I., as well as the ethical challenges they'll bring, the panel yesterday released its first study. The 28,000-word report, "Artificial Intelligence and Life in 2030," looks at eight categories -- from employment to healthcare, security, entertainment, education, service robots, transportation and poor communities -- and tries to predict how smart technologies will affect urban life. "We believe specialized A.I. applications will become both increasingly common and more useful by 2030, improving our economy and quality of life," Peter Stone, a computer scientist at the University of Texas at Austin and chair of the 17-member panel of international experts, said in a written statement. "But this technology will also create profound challenges, affecting jobs and incomes and other issues that we should begin addressing now to ensure that the benefits of A.I. are broadly shared."

Mary Shelley s Frankenstein was the first pop culture example of artificial intelligence. Since then, the media, and especially Hollywood have depicted artificial intelligence numerous times. The depictions of artificial intelligence that we see in movies like Terminator or I, Robot are still nothing but science fiction, but the possibility of super smart artificial intelligence capable of matching human intelligence is no longer a far-fetched idea. In fact, due to the exponential growth of the artificial intelligence industry, we could see that level of artificial intelligence in a matter of years. According to analysts who track the growth of computing costs and the costs for such technologies, in just four years, 4,000 dollars would be enough to buy a computer than could rival the human brain.

Apple Watch has sold well, but the wearables category itself hasn't proven to be nearly as hot as Mp3, smartphone and tablets, all categories where Apple redefined the market. The 18-year-old south London student, who worked two jobs on the side to help afford the gadget, couldn't imagine being without the company's latest tech product. But before the year was out, he would sell his 38mm Apple Watch Sport. "The only advantage over my iPhone was the exercise tracking abilities, but they weren't worth the 350 I paid for it," he says. That sort of customer testimonial would keep most CEOs up at night. And it represents a rare miss for the world's most-valuable company, which over the past decade has risen to iconic status -- and a 575 billion market cap -- on the back of its once-groundbreaking, billion-selling iPhone.

Intel is making it extra-clear that computer vision hardware will play a big role in its beyond-the-PC strategy. The computing behemoth has just acquired Movidius, a specialist in AI and computer vision processors. It sees Movidius as a way to get high-speed, low-power chips that can power RealSense cameras in devices that need to see and understand the world around them. Movidius has already provided the brains behind gadgets like drones and thermal cameras, many of which are a logical fit for Intel's depth-sensing tech -- and its deals with Google and Lenovo give nothing to sneeze at, either. However, it shows that Intel is increasingly determined to find new avenues to explore now that it can't count on large jumps in processor performance to maintain the bottom line.

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Innovation lover, Data addicted, Hyper curious - I'm the one that turns ideas into projects that become reality

Continuing our series of articles on Innovation we recently talked to Mike Zimmerman, Founder of BuildingIQ, about the approaching 3rd Step change in Building Energy Management (BEMS) technology. The 1st step change in BEMS technology was of course the move to DDC controls. Since then we have seen a 2nd wave of innovation in analytics; where companies have started to extract useful data using open protocols and analyze it to help report on performance or identify operating issues. But the limitation of this approach is that it only provides a static "point in time" view of the building. Additionally, any issues identified still require human intervention to address.

Intel is making it extra-clear that computer vision hardware will play a big role in its beyond-the-PC strategy. The computing behemoth has just acquired Movidius, a specialist in AI and computer vision processors. It sees Movidius as a way to get high-speed, low-power chips that can power RealSense cameras in devices that need to see and understand the world around them. Movidius has already provided the brains behind gadgets like drones and thermal cameras, many of which are a logical fit for Intel's depth-sensing tech -- and its deals with Google and Lenovo give nothing to sneeze at, either.

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By 2020, the market for machine-learning applications will reach 40 billion, per IDC. The next time you see Democratic presidential nominee Hillary Clinton with an unflattering look on her face in a TV spot supporting GOP rival Donald Trump, it's all but certain you can attribute the ad creative to artificial intelligence. The Republican National Committee is using machine-learning software from Veritone, a 2-year-old player that just secured 50 million in funding. Designed to work with laser-fast precision, its audio-based system lets the RNC zip through all the publicly available times Clinton has spoken on TV, radio or online video to scoop up her angriest or oddest moments. The company is about to add a visual-sentiment feature, which will zero in on facial expressions and make cringe-worthy moments even easier to find.