In 2012, University of Toronto professor Geoffrey Hinton and two grad students showed off artificial neural networks, a technology that empowered machines to understand images. Google hired Hinton and his grad students six months later; Hinton now splits his time between Google and the university. Although neural networks now underlie speech transcription and many other tasks, Hinton isn’t enthused over the technology he helped launch. Instead, he’s now bullish on an “old” idea that could help reshape artificial intelligence. Continue reading Google’s Geoff Hinton Tests Capsule Networks as AI Solution

Google exited China in 2010, but is now making another pitch to re-enter by promoting its TensorFlow software for building artificial intelligence solutions. Sources say that parent company Alphabet has added staff to look for potential AI investments among Chinese companies. The online Chinese market is the biggest in the world, but Google faces challenges there, not just with homegrown rivals such as Baidu, but the fact that China’s firewall keeps domestic developers from accessing Google’s cloud computing services. Continue reading Google Hopeful for Chinese Re-Entry With TensorFlow for AI

Waiting for a video to buffer may become an annoyance of the past. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are working on streaming algorithms that use AI to improve load rates and, thus, reduce buffering. Dubbed Pensieve, the new technology relies on machine learning to navigate the often-chaotic and ever-changing conditions of networks in real-time, based on a system of rewards (when the video loads smoothly) and penalties (when it’s interrupted). Meanwhile, Netflix is working on its own AI solution to address buffering. Continue reading MIT and Netflix Testing AI-Based Algorithms to Curb Buffering

SMPTE kicked off its 2017 Annual Technical Conference & Exhibition on Monday with an all-day symposium on artificial intelligence and its emerging role in entertainment production and distribution. Among the day’s presentations, SMPTE’s Richard Welsh presented a compelling primer on AI, Google’s Jeff Kember discussed the differences between supervised and unsupervised systems, Hitachi Vantara’s Jay Yogeshwar addressed using machine learning and AI for production workflow, Yvonne Thomas of Arvato Systems looked at the value of effective data analytics, Greg Taieb of Deluxe addressed language localization for multilingual distribution, and Aspera co-founder Michelle Munson examined next generation network design. Continue reading SMPTE: Industry Leaders Gather to Discuss the Future of AI

As tech companies continue to bet on artificial intelligence powering next generation smartphones, autonomous vehicles, virtual assistants, smart home gadgets and much more, the demand for top AI talent is also on the rise. “Typical AI specialists, including both PhDs fresh out of school and people with less education and just a few years of experience, can be paid from $300,000 to $500,000 a year or more in salary and company stock,” reports The New York Times. Leading names in AI are often earning in the millions from tech titans and negotiating for new contracts in a time frame that rivals professional athletes. In fact, some in Silicon Valley have joked of creating an NFL-like salary cap. Continue reading Tech Demand for AI Talent Generates Major League Salaries

SoftBank chief executive Masayoshi Son invested $164 million in startup Mapbox, which is used by Lyft drivers, Snap and Mastercard, and in the process revealed his plans for his nearly $100 billion Vision Fund. The Fund, which includes money from Saudi Arabia and others, is aimed at preparing for new paradigms in work, medicine and so on that will occur due to artificial intelligence. Son believes in Singularity, the idea that robots will change the work force and machines will become smarter than people. Continue reading SoftBank’s Masayoshi Son Reveals His Plan for Vision Fund

Google just debuted its second-generation Pixel smartphones and Google Home speaker, among other hardware devices, as it competes with Apple, Samsung and Amazon to break into the top ranks of consumer electronics. The company’s first year in the space was mixed: although the devices got positive reviews, the Pixel smartphone suffered from supply shortages, capturing only a minute market share in the U.S. and elsewhere. Likewise, Google Home only made minor inroads into the arena dominated by Amazon’s Echo. Continue reading Google to Take On Tech Giants With Second-Gen Hardware

Google is developing new tools for publishers and will end the “first click free” policy to help them boost subscriptions. The Wall Street Journal, The New York Times and The Financial Times keep their online articles behind a paywall, but savvy readers get around that by googling a headline or search terms, and then clicking for free access. Google’s new program, “flexible sampling,” allows publishers to determine how many free clicks they want to provide. The “first click free” policy required them to provide three free articles per day. Continue reading Google Will Let Publishers Decide the Number of Free Clicks

At the Microsoft Ignite annual IT event in Orlando, Florida this week, Microsoft announced it will soon debut a customer-service virtual assistant as part of its Dynamics 365 product line that will incorporate artificial intelligence. A user will be able to describe a problem in her own words, and the virtual assistant will answer by relying on user manuals, help documents and other materials. The customer can request a human, in which case the bot will assist the human customer service agent; a manager can view the result on a dashboard. Continue reading Microsoft Debuts AI-Powered Software, Customer Service Bot

Just in advance of Advertising Week, YouTube is debuting new advertising tools based on Ipsos research that people who watch online video ads are four times more likely to pay attention than to TV ads. The research also showed that promos played on YouTube garner twice as much attention as other social platforms. YouTube added new targeting options to its Custom Affinity Audiences tool, introduced in January. The targeting options, in addition to search, include downloaded apps or real locations customers have visited. Continue reading YouTube Unveils Tools to Create Hundreds of Ads From One

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

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

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

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 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