Google is building technologies that rely less on physical devices: Google Home and its virtual assistant; Project Jacquard, clothing with computing built into the yarn that responds to gestures and voice commands; and Project Soli, that allows gestures to control computers. Also new is Project Ara, a smartphone design that “surrounds” the user wherever she goes, which chief executive Sundar Pichai calls “ambient computing.” What’s unclear with the new paradigms, however, is how Google will generate revenue. Continue reading Google’s Virtual Products Could Upend Traditional Ad Models

Storage is quickly becoming a crucial area of interest, as data grows exponentially. The world’s one billion cell phones already generate 18 exabytes (1 billion gigabytes) of data monthly and, as the Internet of Things places sensors in everything from automobiles to homes, the data output is estimated to soar into the zettabytes. Artificial intelligence and machine learning are a focus to find ways to help manage huge amounts of data. New ways to store data are imperative, and some practical advances are being made. Continue reading As Data Surges to Zettabytes, Need for Better Storage Urgent

Google has just built its own chip as part of its efforts to speed up artificial intelligence developments. The company revealed that this is just the first of many chips it plans to develop and build. At the same time, an increasing number of businesses are migrating to the cloud, lessening the need for servers that rely on chips to function. That’s led some to believe that Google and other Internet titans that follow its lead will impact the future of the chip industry, particularly such stalwarts as Intel and Nvidia. Continue reading Google Develops its Own Chip to Speed Up Machine Learning

Google is focusing on advances in artificial intelligence as a competitive advantage. Its new Google assistant is positioned as the company’s latest iteration of search, and Google is promoting a variety of products based on machine learning that face competing products. Google Home will compete with Amazon Echo, while messaging app Allo will take on Facebook’s Messenger and WhatsApp, and Snapchat. With regard to virtual assistants, Google is going against versions from Apple, Amazon, Facebook and Microsoft. Continue reading Google Launches its AI Ecosystem with Allo and Google Home

With smart speaker Echo and its voice assistant Alexa, Amazon turned its attention to voice-controlled devices, forging partnerships with startups and other companies. With Echo, users can control thermostats from Ecobee, talk to Invoxia SAS’s portable speaker and, soon, open the garage or start the engine of a Ford automobile. As more developers integrate Echo into their products, Amazon is better able to compete against Apple’s Siri, Microsoft’s Cortana, and similar technology that Google is presently working on. Continue reading Amazon Gets Echo, AWS IoT Buttons into Developers’ Hands

Google is open-sourcing SyntaxNet, a neural network framework that provides a foundation for Natural Language Understanding (NLU), and Parsey McParseface, a computer program that helps machines understand written English. Offering the code for free lets anyone develop, modify and distribute it, furthering natural language and potentially making Google’s code the standard. Earlier, Google open-sourced its machine-learning code TensorFlow (which SyntaxNet runs on top of); other companies that have similarly open-sourced code include Amazon and Facebook.

Continue reading Google Open Sources Language Tools for Virtual Assistants

Siri co-founders Dag Kittlaus and Adam Cheyer are getting ready to debut Viv, a new platform and virtual assistant that represents the latest frontier in artificial intelligence. In development for four years, Viv was recently tested by a group of engineers who were able to place an order for several pizzas — without a Google search, phone call or app — and the pizzas were delivered as requested. That success has been repeated with about 50 partners, and will be publicly demonstrated at a major industry event today. Continue reading Siri Creators Introduce Next Generation Digital Assistant Viv

Image recognition, or computer vision, is the foundation of new opportunities in everything from automotive to advertising. Its growing importance is such that the upcoming LDV Vision Summit, an annual conference on visual technology, is now in its third year. Computer vision has expanded through trends that have benefited other forms of AI, including open source, deep learning technology, easier programming tools and faster, cheaper computing, opening up opportunities for a wide range of businesses. Continue reading Image Recognition Tech Paving the Way for Future Advances

Facebook is working with more than 25 companies to help them use chatbots in Messenger to order goods and answer customer service questions, without human assistance. Among its new partners are Disney, eBay, JetBlue, and The Wall Street Journal, all of which are contributing to making the Messenger app a focal point for shopping, news and entertainment. Facebook owns two of the largest messaging apps, Messenger and WhatsApp; both are piloting programs to let businesses communicate with customers. Continue reading Facebook Developing Chatbots for its Popular Messenger App

Bots are text or language-based user interfaces to a service rather than ones that are graphical, and they’re getting a boost from several big technology companies, especially those that missed out on smartphones and their apps. Microsoft has described a vision of bots that can do everything from book a hotel room to order pizza, and has debuted tools to make it easier for a developer or small business owner to build one. Now, Facebook has plans to roll out a bot store that connects with its Messenger service. Continue reading Bots Could Replace Apps for Microsoft, Facebook and Others

Nvidia has entered the field of artificial intelligence with the debut of its Tesla P100 chip, which contains 15 billion transistors — about twice as many as its previous high-end graphics processor and, says Nvidia chief executive Jen-Hsun Huang, the largest chip ever made. Nvidia is creating the DGX-1 computer with eight Tesla P100 chips and AI software; computers from third parties integrating the chip are expected to be on the market by next year. Huang hints its first use is likely to be for cloud computing services. Continue reading Nvidia’s Tesla P100 Chip Enables Speedy Machine Learning

Amazon spent years to bring Echo from an idea to an intelligent, voice-controlled product that could play music, order groceries and read the news out loud. Amazon chief executive Jeff Bezos demanded perfection, bringing latency levels to below 1.5 seconds, and the result is that Echo and its virtual assistant Alexa are a hit. In less than two weeks, Echo hit a million pre-orders, which took the iPhone 70 days to achieve. Amazon is now letting third-party hardware manufacturers integrate Alexa into their products. Continue reading Amazon’s Alexa Moves Artificial Intelligence Into Mainstream

Microsoft is on track to reach the goal it set when it first introduced Windows 10 last July: to reach one billion devices within two or three years. Less than a year later, Windows 10, the latest version of its operating system, is running on 270 million active devices, adopted faster than even Windows 7, its previous high point. Microsoft chief executive Satya Nadella is pinning future hopes on artificial intelligence and “bots” to create new ways to interact with computers, and replace apps as the dominant paradigm. Continue reading Microsoft Pushes Windows 10, Promotes Bots to Replace Apps

Silicon Valley has dubbed machine learning and artificial intelligence as the next big thing. Today’s tsunami of data has created the need to make sense of it, quickly and efficiently. Although recent focus has been on giant public clouds from Amazon, Google and Microsoft, now those companies’ abilities to use AI to parse all that data has become the latest arena of competition. All three companies are now striving to define the next gen platform, with Google in the lead and Microsoft and Amazon playing catch up. Continue reading Amazon, Google and Microsoft Race to Dominate AI Platform

Until now, Google has been third, behind Amazon and Microsoft, in the fast-growing market of cloud computing services. That all changed at its NEXT conference in San Francisco when the company showcased a variety of cloud-based services including software for machine learning, a powerful new speech service that challenges Nuance’s dominance, and a recently introduced vision service. Google also plans to expand places where people can purchase its cloud services from four regions to 16 in the next year-and-a-half. Continue reading Google Makes its Move to Become a Player in Cloud Services