Google wants to bring smarts to cool gadgets and devices made using Raspberry Pi 3 or Intel's Edison. The company is chasing makers with open-source tools needed to add artificial intelligence to consumer, industrial, and retail devices made using board computers. The plan may include machine-learning tools, which are central to AI. AI helps Apple's Siri, Amazon's Alexa, and Microsoft's Cortana answer questions, and also helps self-driving cars cruise the streets safely. "We don't have any specifics to announce right now, but we're excited to keep sharing open-source machine learning tools with the community--stay tuned for more this year," a Google spokesman said in an email. Earlier this week, Google published a market research survey in an effort to get a better grip on the maker community and its priorities.
Nvidia became famous for its graphics processing unit chips that power some of the hottest gaming personal computers. Today, Chief Executive Jen-Hsun Huang signaled that he's aiming even higher in a bid to reinvent the data center and cloud computing. The company announced a new chip and a new computers both focused on artificial intelligence, in particular the fast-rising branch called deep learning that attempts to mimic the activity on layers of neurons in the brain. The technology is the basis for recent breakthroughs in speech and image recognition, self-driving cars and other technology-driven products and services. "Our company has gone all-in on deep learning," Huang said at the Apr. 5 opening of its annual GPU Technology Conference in San Jose, where he made the announcements.
China's second-biggest e-commerce company after Alibaba, sent robots to deliver items for the first time yesterday (June 18), on the last day of a two-week-long shopping bonanza that recorded sales of around $17.6 billion, according to a spokesman with the company. It's the first time that the company has used delivery robots in the field. JD tested its first delivery robot in November, when the research and manufacturing cost of a single robot was almost the price of an Audi Q7 series car, around 600,000 yuan ($88,125) (link in Chinese), JD's driverless program engineer Zhang Chao told CCTV. Robots can reduce the delivery cost from 7 yuan ($1) per human delivery to 1.5 yuan ($0.2) per robot delivery, said Zhang.
Without a doubt, 2016 was an amazing year for Machine Learning (ML) and Artificial Intelligence (AI) awareness in the press. But most people probably can't name 3 applications for machine learning, other than self-driving cars and perhaps their voice activated assistant hiding in their phone. There's also a lot of confusion about where the Artificial Intelligence program actually exists. When you ask Siri to play a song or tell you what the weather will be like tomorrow, does "she" live in your phone or in the Apple cloud? And while you ponder those obscure question, many investors and technology recommenders are trying to determine whether,,, or will provide the best underlying hardware chips, for which application and why.