Google and Pinterest Leading the Evolution to Visual Search

Google and Pinterest, rivals in visual search, are upping their game. After the May debut of Google Lens, which uses machine learning for real-time visual searches, Pinterest unveiled its Lens, which lets the user take a photo of an object with their phone and bring up related objects in search. Now both companies have upgraded visual search: Pinterest is making it a central feature and Google has added new “badges,” which categorize the image being viewed and adds text to describe potential actions. Continue reading Google and Pinterest Leading the Evolution to Visual Search

Apple’s Innovative Chips Ready to Lead in AR, AI, Wearables

The new iPhone X offers several new features, but none of them more innovative than the neural engine that is part of Apple’s new A11 Bionic SoC processor. Artificial neural networks, which excel at processing images and speech, are behind the phone’s ability to recognize the user’s face to unlock it, transfer facial expressions onto Animoji (animated emoji), and other, as-of-yet unspecified features. As Apple moves into augmented reality and image recognition, the neural engine will likely be central to these endeavors. Continue reading Apple’s Innovative Chips Ready to Lead in AR, AI, Wearables

IBM and MIT Team Up for Artificial Intelligence Research Lab

Last week, IBM and the Massachusetts Institute of Technology announced a 10-year, $240 million partnership to establish the MIT-IBM Watson AI Lab in Cambridge, Massachusetts. The long-term initiative is expected to bring together industry experts, professors and students to research areas such as cybersecurity, healthcare, machine learning and quantum computing. Researchers will work at MIT and the nearby Watson Health and Security facilities. The lab will be co-chaired by IBM Research VP Dario Gil and MIT School of Engineering dean Anantha Chandrakasan. Continue reading IBM and MIT Team Up for Artificial Intelligence Research Lab

Google Ramping Up its Artificial Intelligence Efforts in China

Despite earlier concerns over censorship and a cyberattack traced to Chinese hackers — and the fact that its search engine can only be accessed in the region by using VPNs (due to the government’s filtering system) — Google is reportedly ramping up its presence in China. Its careers web page lists nearly 60 open positions in Beijing and Shanghai. According to The Wall Street Journal, at least four of the engineering positions involve artificial intelligence, “including a technical lead to develop a team to work on natural language processing, data compression and other machine learning technologies.” Continue reading Google Ramping Up its Artificial Intelligence Efforts in China

Amazon Creates AI-Based Tools for Spotting Fashion Trends

Amazon is developing systems based on artificial intelligence algorithms that are aimed at spotting fashion trends and, eventually, shaping them. The effort could boost Amazon’s sales in clothing, perhaps even gaining a dominant position in fashion. The e-commerce giant isn’t alone in making recommendations based on products appearing in social media, and highlighting the resulting trends; Instagram and Pinterest also pinpoint trends and react quickly to them, as does startup subscription service Stitch Fix. Continue reading Amazon Creates AI-Based Tools for Spotting Fashion Trends

Microsoft Intros Brainwave, Jumpstarting AI Hardware Speed

Microsoft has debuted Brainwave, a system that improves AI hardware performance, enabling machine learning at speeds beyond what’s available today with CPUs or GPUs. At the Hot Chips symposium in Cupertino, California, researchers showed off a Gated Recurrent Unit model running on Intel’s newly released Stratix 10 FPGA (field programmable gate array chip), at a speed of 39.5 teraflops without batching operations. Brainwave currently supports models constructed with Microsoft’s CNTK framework and Google’s TensorFlow framework. Continue reading Microsoft Intros Brainwave, Jumpstarting AI Hardware Speed

In Response to Elon Musk and His Concerns About AI Safety

Elon Musk, Bill Gates and Stephen Hawking are among those that have raised concerns regarding our pursuit of artificial intelligence, while Musk has recently gone so far to suggest that AI presents “more risk than North Korea” and should be regulated, like “everything (cars, planes, food, drugs, etc.) that’s a danger to the public.” Our colleague Yves Bergquist, director of ETC’s Data & Analytics Project, published a compelling rebuttal on Medium this week, in which he clearly defines “narrow AI” and “artificial general intelligence” in order to provide additional context regarding the evolution of AI applications and their numerous possibilities. Continue reading In Response to Elon Musk and His Concerns About AI Safety

Google Purchases AIMatter to Boost Computer Vision Efforts

Google just acquired AIMatter, a Belarus startup that will boost the tech giant’s efforts in computer vision, the artificial intelligence sector that helps computers process images as well as, or even better, than humans. AIMatter has already built a neural-network-powered AI platform and SDK that quickly processes images on mobile devices, as well as Fabby, a photo/video editing app that has been used as a proof-of-concept. AIMatter has employees in Minsk, the San Francisco Bay Area, and Zurich, Switzerland. Continue reading Google Purchases AIMatter to Boost Computer Vision Efforts

Gartner Forecasts Timeline for Adoption of New Technologies

Gartner Research reported on emerging workflows for new technologies. In the Gartner Emerging Tech Hype Cycle, the company studied 2,000 emerging technologies and identified 32 that could create competitive advantages over the next ten years. Gartner tracked these technologies’ progress and assessed their chances for entering the mainstream market. Among the technologies it identified are augmented reality, virtual reality and some forms of artificial intelligence, followed by blockchain. Continue reading Gartner Forecasts Timeline for Adoption of New Technologies

Leaks Point to SmartCam Debut in Upcoming Apple iPhones

Developers digging through the firmware of Apple’s upcoming smart speaker, HomePod, found evidence that the company’s iPhone camera may soon use machine learning to recognize objects and scenes and adjust settings to create the best photo, all in real-time. That’s the information made public in a HomePod firmware leak. Unclear is whether that feature will be introduced with the iPhone 8 this fall, although developer Guilherme Rambo has discovered details that suggest it will debut as “SmartCam” capability. Continue reading Leaks Point to SmartCam Debut in Upcoming Apple iPhones

Researchers Focus on Computational Photography Solutions

Google and MIT scientists have collaborated to explore how computational photography, which uses machine learning and specialized algorithms, can be used to retouch photos in real time. The team trained neural networks via 5,000 images created by Adobe and MIT; five different photographers retouched each image, teaching the software the various ways a photo could be improved. Elsewhere, Nvidia and UC Santa Barbara created a computational zoom for photographers that lets them change a photo’s perspective in post production. Continue reading Researchers Focus on Computational Photography Solutions

Pinterest and Google Compete to Offer the Top Visual Search

Pinterest is highlighting the “Search” and “Lens” features on its mobile apps, emphasizing its move into this arena. Lens, which was introduced to U.S. users this year, is a reverse image search tool that allows users to take a photograph of something and then use smart search to return pins with similar images and related design ideas. Lens is now available to users of the iOS application; Pinterest says it will soon launch the Android version. Google is also upgrading its visual search engine to compete in this space. Continue reading Pinterest and Google Compete to Offer the Top Visual Search

Facebook Buys AI Startup Ozlo to Improve Virtual Assistant M

Facebook just acquired Ozlo, a small AI startup founded four years ago and based in Palo Alto, California. The social media giant made the purchase in order to improve Messenger’s virtual assistant, dubbed M. Ozlo describes its product as “an index of knowledge about the real world,” which implies that a user could ask questions and receive answers about a wide range of topics. The company has 30 employees, and a majority of them will be joining Facebook’s Messenger teams in Menlo Park, California and Seattle, Washington. Continue reading Facebook Buys AI Startup Ozlo to Improve Virtual Assistant M

Google Debuts Developers Launchpad Studio for AI Startups

To help AI and machine learning startups succeed, Google introduced a Developers Launchpad Studio, a six-month program that will gift participants with $50,000 in financial support without a quid pro quo for Google equity. Benefits also include product credits for Google Cloud and other services, product validation assistance and introductions to AI investors. The program will also make Google director of research Peter Norvig and Israel-based Google R&D Research Center head Yossi Matias available for feedback and advice. Continue reading Google Debuts Developers Launchpad Studio for AI Startups

Google Looks to Personalize Music with New Release Radio

Google just announced that New Release Radio is now opened up to all users. The new feature uses machine learning to analyze the user’s taste in music and then suggests new music based on those tastes. The feature will introduce both albums and singles that have debuted in the last two weeks; Google promotes it as “a really quick way to check out all-new music that’s tailored just for you.” Samsung Galaxy S8 users have had early access to New Release Radio since June, as a result of Google’s global partnership with the electronics giant. Continue reading Google Looks to Personalize Music with New Release Radio

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