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.
Have you ever visited a favorite e-commerce website, and noticed the website was recommending some products you had looked at before? Have you taken a picture of your friend with your smartphone, and the phone asked you to confirm whether or not it was, in fact that friend by name, based on pictures you had tagged before? Have you heard about Google's self-driving car, Skype's emerging translation capabilities or IBM Watson, which is helping doctors to diagnose and treat patients more effectively? There are many names for the magic behind this wizardry, including artificial intelligence, machine learning or cognitive technology. Regardless of what you call it, robots, software and computing devices are evolving to become more autonomous than ever before.
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.
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.
Artificial intelligence (AI) is playing an increasingly influential role in the modern world, powering more of the technology that impacts people's daily lives. For digital marketers, it allows for more sophisticated online advertising, content creation, translations, email campaigns, web design and conversion optimization. Outside the marketing industry, AI underpins some of the tools and sites that people use every day. It is behind the personal virtual assistants in the latest iPhone, Google Home, and Amazon Echo. It is used to recommend what films you watch on Netflix or what songs you listen to on Spotify, steers conversations you have with your favorite retailers, and powers self-driving cars and trucks that are set to become commonplace on roads around the world.