IBM has unveiled the world's smallest computer - a device no bigger that a grain of salt. Presented at the company's Think 2018 conference in Las Vegas, Nevada, the unit measures just 1mm by 1mm but has the same processing power as the x86 chip that ran early Nineties IBM desktop computers. The microscopic "crypto-anchor" CPU is essentially an anti-fraud device, designed to be embedded within price tags and product packaging like barcodes, tracking and logging the movement of goods during shipping. "The world's smallest computer is an IBM-designed edge device architecture and computing platform that is smaller than a grain of salt will cost less than 10 cents to manufacture and can monitor, analyse, communicate and even act on data," the company said. "It packs several hundred thousand transistors into a footprint barely visible to the human eye and can help verify that a product has been handled properly throughout its long journey."
On Sunday night, a woman died after she was hit by a self-driving car operated by Uber in Tempe, Ariz. The car was operating autonomously, though a safety driver was behind the wheel, according to a statement from the local police. Uber is one of many companies now testing this kind of vehicle in Arizona, California and other parts of the country. Waymo, the self-driving car company owned by Google's parent company, Alphabet, has said it is also operating autonomous cars on the outskirts of Phoenix without a safety driver behind the wheel. On Monday, Uber said it was halting tests in Tempe, Pittsburgh, Toronto and San Francisco.
Sunday evening, one of Uber's autonomous SUVs struck a woman who later died at the hospital as a result of her injuries. It appears to be the first time a pedestrian has died after a collision with an autonomous vehicle, and as a result, Uber has temporarily suspended all its testing. While an investigation is ongoing, the Tempe police chief provided an update based on video from the car itself, and said "it's very clear it would have been difficult to avoid this collision in any kind of mode (autonomous or human-driven) based on how she came from the shadows right into the roadway." Still, if there's a chance for widespread adoption of self-driving car technology, the amount of transparency Uber displays right now will be important. The idea of a data-science company no one has ever heard of attempting to poke around in a country's collective psyche sounds like a plot out of Black Mirror, and yet here we are.
BOULDER, Colo.--(BUSINESS WIRE)--Artificial intelligence (AI) has worked its way into a variety of industries, from the obvious (autonomous vehicles) to the hidden (anti-money laundering due diligence). But according to a new report from Tractica, while organizations are clearly recognizing the value associated with incorporating AI into their business processes, they are also encountering a number of challenges with integrating this new intelligence into operational processes. Taking AI beyond the proof-of-concept phase to the enterprise scale will require a significant level of professional services to support large implementations, with key service categories including application integration, support and maintenance, training, customization, and installation. Tractica forecasts that the worldwide market for AI services will grow from $10.1 billion in 2017 to $188.3 billion by 2025. The market intelligence firm anticipates that the industry sectors using the highest levels of professional services to support AI deployments will include business services, consumer, healthcare, advertising, and automotive.
An Uber driverless car heads out for a test drive in San Francisco in December 2016, the same month that the company halted testing there and moved it to Arizona. An Uber driverless car heads out for a test drive in San Francisco in December 2016, the same month that the company halted testing there and moved it to Arizona. Arizona Gov. Doug Ducey began a push three years ago to attract makers of self-driving cars to the state and actively wooed Uber away from California as a venue for testing those vehicles. Shortly after his election in 2015, the governor signed an executive order supporting the testing and operation of self-driving vehicles that he said was about "innovation, economic growth, and most importantly, public safety." Now the "public safety" part of that order has been thrown into question and Arizona's willingness to become a testing ground for emerging driverless vehicles has come into sharp focus after Sunday's incident in which a self-driving Volvo SUV operated by Uber struck and killed a 49-year-old woman who was walking her bicycle in Tempe.
Peter Kurdock, director of regulatory affairs for Advocates for Highway and Auto Safety in Washington, said the group sent a letter Monday to Transportation Secretary Elaine Chao saying it is concerned about a lack of action and oversight by the department as autonomous vehicles are developed. That letter was planned before the crash.
Gatwick claims it will be the first airport to operate self-driving cars "airside", using a system from Oxford University spin-off Oxbotica. The vehicles will move staff around the airport, but at this stage, they will not be used by airline passengers. If the six-month trial is successful, the airport says it may use autonomous vehicles for other purposes, such as "aircraft push back tugs, passenger load bridges, baggage tugs and transportation buses". There are about 40 potential airport applications. Gatwick says it has 300 airside vehicles and that they are stationary 90 percent of the time.
Artificial intelligence (AI) is going to impact several industries in a big way. Retailers, banks, carmakers, or technology companies, are scurrying to embrace AI to make their customers' lives easier. Not surprisingly, the market for AI software is predicted to jump from just $3.2 billion a couple of years ago to $89.8 billion by 2025. Tech giants like Baidu (NASDAQ:BIDU) have been pouring a lot of money into AI research. Let's look at how Baidu plans to take advantage of the AI opportunity and why it could be one of the best bets in this space.
Sophia, brought to life by our founding partner, Hanson Robotics, is the world's most expressive humanoid robot. Her proprietary software, firmware, and hardware makes her nearly impossible to replicate. With SingularityNET, anyone could access Sophia's mind on demand. Sophia uses dozens of algorithms, many of which are licensed from third parties. Today, integrating extern AI resources and functionality is slow, costly, and simply too difficult for most organizations.
Artificial intelligence is one of the marketing industry's principal buzzwords right now. Like many en vogue terms, definitions can range all over the map. We asked eight agency executives to give a clear and concise definition of AI. Jason Goldberg, svp of commerce and content, SapientRazorfish AI are computer systems able to perform tasks that normally require human intelligence. Machine learning is a subset of AI, and deep learning is a subset of machine learning.