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2017: Back to the Future with Artificial Intelligence and Big Data

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The amount of data being collected by complex processing devices such as self-driving cars (Tesla and Uber) to simple devices such as shoes and watches, will allow devices to think on their own and only allow humans to pick the options (Sounds like the Terminator movie.


Nvidia unifies a big list of developer tools in one package

PCWorld

Nvidia's varied range of GPU developer tools have been spread out into specialized kits, but that's not the case any more. The company has announced the Nvidia SDK unified toolkit, which brings together its game development, supercomputing, virtual reality, automotive and drone and robot development tools into one package. The toolkit brings together essential tools and libraries necessary for GPU development, Jen-Hsun Huang, CEO of Nvidia, said during a keynote at the company's GPU Technology Conference in San Jose, California. The toolkit is tuned for Nvidia's latest Pascal GPU architecture, which the company is expected to detail at the show. Pascal contains many technological improvements that could trigger changes in the way applications are written for GPUs.


Toyota teaches cars to drive by studying human drivers - TechRepublic

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Toyota plans to have its self-driving car out by 2020. It's been testing a modified Lexus GS as well as their own hybrid self-driving vehicles on the road. In January 2016, Toyota announced the creation of the Toyota Research Institute (TRI), a 1 billion investment in AI to develop autonomous driving capabilities as well as home-care robots. Jim Adler, the first head of data at TRI, has been on the job for just two months. Before that, he was an executive at Metanautix, a data analytics platform that sold to Microsoft last year. Adler talked to TechRepublic about how Toyota is using data and simulation to teach cars to drive themselves. It sounded like so much fun and interesting, and leveraged quite a bit of my experience.


Morning roundup of Artificial Intelligence news for September 29, 2016

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Sean Captain 09.29.16 7:30 AM The Terminator isn't arriving anytime soon, but concern is growing that artificial intelligence is already so pervasive in society--and getting more so all the time--that there needs to be more focus on how it's being used and potentially misused (even if by accident). Aside from futuristic killer robots, there are already real dangers ranging from faulty autonomous cars to algorithms used in hiring or recruiting that have an inadvertent bias against women or ... IBM recently released new details about the efficiency of its TrueNorth processors, which sport a fundamentally novel design that cribs from the structure of the brain. Rather than line up billions of digital transistors all in a line, TrueNorth chips have a million computer'neurons' that work in parallel across 256 million inter-neuron connections ('synapses'). In recent months, cancer and artificial intelligence (AI) have long been associated together. Continuously proving its undeniable influence to humanity, it's not quite surprising to learn how machine learning could be of help in the field of precision medicine, particularly in cancer diagnosis and treatment.


Surge of data from cars could be big moneymaker. Do automakers have mettle to harness it?

Los Angeles Times

When cars exit the tunnel of the next 15 years, they'll be like giant smartphones. Their sensors will capture sight, sound and motion and transmit the information to the Internet quickly and affordably. The $100-billion app economy built on data from smartphones would look small compared with the $750 billion in revenue produced around cars. The forecast has automakers buzzing. As they accelerate spending on developing self-driving cars, they're devoting enormous attention on what to do with data that those high-tech devices generate -- beyond making the drive automated.