Ilya Sutskever, director of OpenAI, an independent research group, will describe what might be the next big breakthrough in artificial intelligence today at EmTech Digital, a conference organized by MIT Technology Review in San Francisco. Sutskever will describe research showing an approach in machine learning that can perform even better than methods that have produced huge breakthroughs recently. His technique may also prove far more scalable. In a blog post describing the work, Sutskever and colleagues describe using "evolutionary strategies" to have machines figure out for themselves how to solve a complex task. The researchers say the approach is distantly related to a decades-old approach that involves optimizing algorithms using a process of simulated evolution.

Facial recognition (FR) technology has come a long way in recent years in terms of applicability. However, the standard FR deploy still presents several difficulties with it. They may range from the method accuracy and performance, requirement of specific setups to ease integration and mobile support. With the latest release of our facial recognition API (frAPI) version 5.0 we aim to addressed all those problems together such that our clients can be up and running their FR system within fifteen minutes. The facial recognition, as well as other Computer Vision areas, had a recent breakthrough with the use of Deep Learning.

What is the point of Twitter? The 11-year-old microblogging platform is a social network, a broadcasting tool, a public relations platform, a joke incubator, and a news aggregator. It's a daunting medium, but with the help of a little AI, it doesn't have to be. At least, that's the premise of Post Intelligence, a social media assistant tool launched this week by a pair of former Google executives. "We're dubbing it the world's first AI-based media assistant," says Bindu Reddy, co-founder and CEO of Post Intelligence.

That gnawing neediness in my soul explains why I was intrigued by Post Intelligence, a startup with a deep learning algorithm that can supposedly make you better at social media. For now, Post Intelligence works with both Twitter and Facebook, but there's potential for it to engage with several other platforms in the future. The algorithm is the brainchild of Bindu Reddy and Arvind Sundararajan, two former Google product managers. Reddy can count Blogger, Google Video and Google on her record, while Sundararajan helped develop Gmail and AdSense. Together, they previously founded media agency MyLikes and Candid, a Secret-esque anonymous network.

You can't just assume that when an application reads each letter of a sentence that the output will make sense. Amazon Polly provides speech synthesis functionality that overcomes those challenges, allowing you to focus on building applications that use text-to-speech instead of addressing interpretation challenges. Amazon Polly turns text into lifelike speech. It lets you create applications that talk naturally, enabling you to build entirely new categories of speech-enabled products. Amazon Polly is an Amazon AI service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice.

Despite his own role in the advancement of artificial intelligence, Elon Musk has long warned that the technology built by humans could one day lead to our destruction. And, the tech giant has now revealed he's kept a'wary eye' on the growth of AI for years as an investor in DeepMind, which was acquired by Google in 2014. While humans may be able to stop a runaway algorithm, there would be'no stopping' a large, centralized AI that calls the shots, Musk argues in a recent interview with Vanity Fair. Despite his own role in the advancement of artificial intelligence, Elon Musk has long warned that the technology built by humans could one day lead to our destruction. And, the tech giant has revealed he's kept a'wary eye' on the growth of AI for years as an investor in DeepMind Last summer, when asked at the Code Conference in southern California if the answer to the question of whether we are in a simulated computer game was'yes', Elon Musk said the answer is'probably'.

President Trump's effort to keep manufacturers in the U.S. may encourage increased automation -- potentially at the expense of human workers. However, the robots are likely to be made in China unless the U.S. acts soon. The Chinese government is investing billions of dollars to take the global lead in robotics and AI. In its most recent five-year plan, the national government aimed to boost annual production of industrial robots to 100,000 by 2020 -- and is poised to exceed that target. China has also surpassed the U.S. in the number of scientific papers produced on AI and is deploying machine learning and robotics across industries as well as the military.

That gnawing neediness in my soul explains why I was intrigued by Post Intelligence, a startup with a deep learning algorithm that can supposedly make you better at social media. For now, Post Intelligence works with both Twitter and Facebook, but there's potential for it to engage with several other platforms in the future. The algorithm is the brainchild of Bindu Reddy and Arvind Sundararajan, two former Google product managers. Reddy can count Blogger, Google Video and Google on her record, while Sundararajan helped develop Gmail and AdSense. Together, they previously founded media agency MyLikes and Candid, a Secret-esque anonymous network.

Ilya Sutskever, director of OpenAI, an independent research group, will describe what might be the next big breakthrough in artificial intelligence today at EmTech Digital, a conference organized by MIT Technology Review in San Francisco. Sutskever will describe research showing an approach in machine learning that can perform even better than methods that have produced huge breakthroughs recently. His technique may also prove far more scalable. In a blog post describing the work, Sutskever and colleagues describe using "evolutionary strategies" to have machines figure out for themselves how to solve a complex task. The researchers say the approach is distantly related to a decades-old approach that involves optimizing algorithms using a process of simulated evolution.

Hedge funds have been trying to teach computers to think like traders for years. Now, after many false dawns, an artificial intelligence technology called deep learning that loosely mimics the neurons in our brains is holding out promise for firms. WorldQuant is using it for small-scale trading, said a person with knowledge of the firm. Man AHL may soon begin betting with it too. Winton and Two Sigma are also getting into the brain game.