Mozilla unveiled Project DeepSpeech and Project Common Voice to leverage the capabilities of speech recognition. The company says it has just reached “two important milestones” in the project out of its Machine Learning Group. Mozilla is releasing its open source speech recognition model, which it states is nearly as accurate as what humans can perceive from the same recordings, and is also unveiling the world’s second largest publicly available voice dataset, with contributions by almost 20,000 people around the world. Continue reading Mozilla Intros Open-Source Speech Recognition, Voice Dataset

To compete in the profitable cloud-computing arena, Amazon Web Services debuted 20 new machine-learning tools this week at the AWS re:Invent conference in Las Vegas. Tools include speech recognition and algorithms to automate decisions. The move helps Amazon compete better with Google and Microsoft, both of which are using their expertise in AI and machine learning to cut into its market share. Machine learning will also help potential developers that can’t create these capabilities on their own. Analysts estimate that Amazon dominates the cloud with a 44 percent market share. Continue reading AWS Expands Cloud Efforts with New Machine-Learning Tools

AISense, a company that offers a voice transcription service, is partnering with videoconferencing service Zoom to bring a product to market in 2018 that will provide automatic transcriptions for Zoom’s customers. AISense’s technology uses machine learning to provide a full text record of what is said, and Zoom’s videoconferencing is its first practical use. AISense also just raised $10 million in Series A funding led by Horizons Ventures, with Draper Associates, Draper Dragon, David Cheriton, and Bridgewater Associates. Continue reading AISense Teams Up with Zoom for Voice Transcription Product

Google Senior Fellow Jeff Dean, who works on the Google Brain team, recently highlighted AutoML (for machine learning), a project aimed at using AI-empowered machines to build other AI machines, removing humans from the equation. The need for AI algorithms grows as its capabilities are becoming important to a wide range of industries. But only an estimated 10,000 people worldwide have the education, expertise and ability to construct those algorithms, and Facebook, Google and Microsoft pay millions of dollars for them. Continue reading Google Project Aims to Use AI to Develop More AI Algorithms

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

Intel, Facebook and other tech companies are working together on a chip aimed to power artificial intelligence that will also be direct competition for Nvidia’s chips. The new Intel chip will be built to accelerate deep learning, which, among other tasks, will allow computers to recognize objects in photos and specific words in speech. The chip, dubbed the Nervana Neural Network Processor and based on Intel’s acquisition of startup Nervana Systems, is slated to be released in limited quantities in 2018. Continue reading Intel Turns to Facebook, Other Tech Companies for AI Chip

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 going full bore promoting its virtual assistant Alexa. In an effort to make it available on more devices, the company has debuted the Alexa Voice Service Device SDK toolset, which lets developers integrate a fully functional version to their devices, offering speech recognition and all the other Alexa capabilities such as notifications, weather reports, streaming media and thousands of voice apps. Amazon is providing additional incentive to developers by paying those whose voice apps demonstrate customer engagement. Continue reading Amazon Promotes Alexa With SDK, Revenue for Developers

Apple is reportedly working on Apple Neural Engine, the internal name for a new AI-enhanced processor that will enable facial and speech recognition ordinarily accomplished by human intelligence. The company, which would not comment, had an early AI win with Siri, but has since been playing catch up with Amazon and Google, both of which offer AI-powered digital assistants. Apple Neural Engine would give Apple more capabilities in autonomous vehicles and augmented reality devices, both fields Apple is involved in. Continue reading Apple Develops AI Chip to Compete in Autonomous Cars, AR

Nvidia unveiled its Jetson TX2 platform, designed for devices that have limited bandwidth like drones, traffic cameras, and manufacturing robots. Some of these devices, such as a camera drone, may capture large amounts of data without working in the cloud or a connected data center. Subsequently, these devices have to do most of the processing themselves and Jetson 3.0 promises to make them more powerful. The TX2 chip, which provides twice the performance of the TX1 while using only half the energy, is designed for artificial intelligence at the edge of a network. Continue reading Nvidia’s Jetson TX2 Powers Devices with Artificial Intelligence

Facebook announced the beta release of a new voice search feature for the company’s Oculus Rift and Samsung’s Gear VR. “This feature lets you perform voice searches from Oculus Home to intuitively navigate games, apps, and experiences,” explains the Oculus team, noting future plans to “add even more functionality like seeing if a friend is online or contextual commands to invite people to a play a game with you.” While VentureBeat points out the feature “won’t let you look at your friends, your notifications, your profile, your avatar, app updates that you haven’t installed, or individual settings,” the review is largely positive and envisions future applications: “The speech technology might well end up becoming a part of Facebook’s more popular services, like WhatsApp, Messenger, Instagram, and even good old Facebook itself.” Continue reading Facebook Introduces Voice Recognition Tech to VR Headsets

Twelve-year old audio recognition company SoundHound just raised $75 million to build its speech recognition AI-based platform, Houndify, betting that voice will become the dominant form of interaction with Internet-connected devices. Although large companies like Apple, Baidu and Microsoft dominate the space, SoundHound has built its own AI technology to identify audio. In contrast to these other companies, SoundHound also plans to offer its voice AI tools to other device manufacturers. Continue reading SoundHound Raises $75M to Advance AI Speech Recognition

Yoshua Bengio, a leader in deep learning and professor at the University of Montreal, is opening Element AI, a startup incubator focused on this form of artificial intelligence. The incubator will help develop AI-centric companies coming from both Bengio’s university and nearby McGill University, part of Bengio’s stated goal of creating an “AI ecosystem” in this Canadian city. According to Bengio, Montreal is home to “the biggest concentration in the world” of researchers in the powerful field of deep learning. Continue reading Deep Learning Pioneer Yoshua Bengio Launches AI Incubator

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

At CES 2016, a record-breaking 464 automotive electronics companies will exhibit a broad range of new developments, with trends from VR/AR interfaces to modular infotainment systems. Going head-to-head with Tier 1 auto suppliers are Apple’s CarPlay and Google’s Android Auto, which are targeted for adoption as native interfaces. From automakers, Ford is expected to announce a partnership with Google to create self-driving vehicles, a synergistic pairing that boosts both companies’ fortunes. Continue reading CES: Ford/Google Partnership Highlights Autonomous Cars