Artificial Intelligence (AI) and Digitisation will change the future of cars, challenge traditional business models and create immense potential for innovation. In future, cars will be cognitive not only will they recognize voices and be able to optimise the journey, they will also incorporate other cognitive technologies of AI - computer vision, machine learning, rules based systems as well as planning and scheduling. It is around these subjects that Frost & Sullivan's Intelligent Mobility event - taking place in London on the 28th and 29th of June - will evolve. Today, there are 4.4 million taxis globally. In 2020 this number is expected to reach 5.5 million.

Nvidia has announced its DGX-1 Deep Learning System at the 2016 GPU Technology Conference. That might not mean much to the average PC fan, but in context that is over twelve times the graphics performance of the Nvidia Titan X, it's most expensive and powerful graphics card on the market. The Tesla GP100 is based on TSMC's 16nm FinFET manufacturing process, and uses High Bandwidth Memory (HBM2) for the first time. Nvidia is the first to adopt both features, before Intel or AMD, though Samsung has been using the 16nm manufacturing process since late 2015. Rather than make the GPU slimmer with the new manufacturing process, Nvidia has added a lot more transistors to the card.

While voice-recognition-powered virtual assistants like Siri, Cortana and Amazon's Echo continue to get more useful and reliable on the march to platform-dom, there is a parallel wave of development underway that has captured the public eye, where machine learning, artificial intelligence and natural language processing are getting corralled for more narrowly purposed means -- by way of bots. Today, a New York-based startup called X.ai -- which has developed a bot that helps you arrange meetings with other people by way of a virtual assistant ('Amy' or'Andrew') -- announced that it has raised 23 million. The Series B funding will be used to take X.ai from a closed and free beta to a commercial product, and the startup also plans to hire more data scientists and other engineers. X.ai is not releasing details of its valuation, but we understand from reliable sources that it is now around 100 million -- a decent jump on the 40 million valuation the company had when it announced its Series A of 9 million in January 2015. The funding is being led by Two Sigma Ventures, with other new investors including DCM Ventures and Work Bench Ventures.

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Log in Sign up p Discover and save creative ideas p Discover even br more ideas Just a few br more details... p Continue p Creating an account means you're okay with … The sophisticated neural networks underlying systems like Google's Deep Dream and all manner of interesting experiments require a great deal of computing power. NVIDIA proposes to put all that horsepower in a single box, specially engineered to meet the needs of AI researchers. When Microsoft's Tay, the artificially intelligent bot, was taught to be a racist Holocaust-denier by the online masses, traditional publishers got a … Humans have a long and storied history of freaking out over the possible effects of our technologies. Long ago, Plato worried that writing would hurt people's memories and "implant forgetfulness in their souls." More recently, Mary Shelley's tale of Frankenstein's monster warned us against playing … A brief and broken reappearance.

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Those of you that selected'bot' as your drinking game keyword, RIP,

That may sound a little less weird once you know that Amy is an artificially intelligent personal assistant and the brainchild of a startup called X.ai. Then she takes over the task of coordinating schedules and setting the date. On Thursday, X.ai announced a fresh round of funding led by Two Sigma Ventures, a VC fund that invests in data-focused startups. That funding will help X.ai -- which has been operating in private beta since 2014 -- roll out out its service to the public this summer and release an enterprise edition before the end of the year. But are we ready for robots to take over our calendars?

But what the heck are neural networks and what do they mean for the future of computing and design? This is a sticky issue, because there's no single definition neural network that's universally agreed upon. In essence, a neural network is a computer program that tries to simulate the way a human mind works--more specifically, by simulating neurons themselves. In your brain, there are hundreds of billions of tiny cells called neurons, each of which is connected to maybe tens of thousands of its brethren in complicated, ever-changing webs. This charming interactive story is a great primer on how they work, but put (very) simply, neurons are how we learn.

It learns your preferences and recognizes your body language, and adapts its actions with your comfort in mind.