Amazon is testing an as-of-yet unannounced new cloud service that will let businesses run a wider range of artificial intelligence software on its computers, say people close to the situation. This move puts Amazon, which launched Amazon Web Services in a limited offering in this area last year, in closer competition with Google, Microsoft and IBM, which have already launched various cloud services. The new service will help development of pattern recognition, speech transcription and other robust applications. Continue reading Amazon Creating New Cloud Services for Artificial Intelligence

During the Moogfest music and technology fest in North Carolina, Google Brain researcher Douglas Eck outlined a new artificial intelligence research project at Google called Magenta. The group, expected to publicly launch next month, plans to use the company’s machine learning engine TensorFlow to explore new ways that computers and AI systems could be trained to create original art and media such as music or video. The initiative should prove challenging; so far, the most advanced AI systems have struggled to replicate styles of existing artists. Continue reading Google to Explore Using AI Systems to Produce Art and Music

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

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

The security research community has warned that the Internet of Things, including home security systems, is hackable. Researchers at the University of Michigan and Microsoft have published an in-depth security analysis of Samsung’s SmartThings platform that allows control of home appliances via PC or smartphone. They were able to hack the system, setting off a smoke alarm and opening a digital lock with a “backdoor” PIN. Their findings will be presented at the IEEE Symposium on Security and Privacy later this month. Continue reading Researchers Warn That Smart Home Technology is Hackable

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

Microsoft researchers from the U.K. created a holoportation system, which projects a live 3D hologram of a person into another room, anywhere in the world, where it can interact in real-time with whoever is present. The researchers, who focus on 3D sensors and machine learning, spent two-and-a-half years with the HoloLens team in Washington state to develop holoportation. The system requires a lot of horsepower and high-quality 3D capture cameras, as well as a HoloLens (or other VR/AR headset) on the receiving end. Continue reading Microsoft Demos Live 3D Holoportation System via HoloLens

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

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

Following in the footsteps of Facebook and Twitter, Instagram is on the verge of changing its newsfeed. But, unlike Facebook, Instagram plans to roll out its changes slowly, as a series of small tests to a single-digit percentage of user groups. The new feed will be algorithm-based and personalized, much like that found at its parent company Facebook. The result would be a shift away from reverse chronology list to the photos/videos Instagram thinks you will most want to see from among those you follow. Continue reading Instagram to Slowly Introduce New Algorithm-Based Newsfeed

IBM estimates that smartphones and devices related to the Internet of Things will generate 44 zettabytes (exabytes to the thousandths) by 2020. To handle all that information, IBM is looking at storage solutions that combine machine learning and artificial intelligence, both of which excel at finding patterns. Other companies are looking for solutions, including Pure, which is combining flash storage and engineering to create a storage unit that currently holds 16 petabytes, or five times most storage devices. Continue reading Users Seek New Storage and Cloud Solutions as Data Explodes

Although up until now, augmented reality has had an inauspicious debut — think Google Glass — it’s poised to transform how we interact with computers in the next two decades. AR now has technical limitations including a narrow field of view, less-than-ideal resolution and latency issues. Furthermore, the only way to interact with AR is via bulky glasses or helmets. But many experts believe that we are in the midst of a speedy evolution to the point where AR will enable us to project a virtual screen on every surface. Continue reading Augmented Reality and Artificial Intelligence Shaping the Future