In'Hyper-Automation' Push, Wipro To Use AI To Do The Work Of 10000 Engineers By End Of ... Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

Stefano Corazza is a computer scientist at Adobe, but when I met him, he was pretending to be an ad exec selling a new cherry-flavored soft drink. But before he could create the ad, he needed a photo of the product. "You design something, then make it, then photograph it, then show the photos to an audience," he says. Unless you're using Project Felix, the 3-D rendering tool Adobe unveiled today. In about five minutes, using little more than two stock images, Corazza whipped up a hyper-realistic image of a bottle of Cherry Blast.

Facebook has banned an insurance company from using people's profiles to price their insurance. Just hours after Admiral announced that it would launch a new app that scoured Facebook profiles and tried to work out their personalities, the site has said that the plan breaks its terms and so will be banned. Admiral had hoped that by using Facebook information it could build up a picture of people, and hopefully work out whether they were more or less likely to crash. Customers could be given up to a 15 per cent discount if they signed up to the app. Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.

The neurones and synapses of the human brain are serving as the inspiration for the next-generation of processor hardware. If you were looking for a model of the next wave of computing hardware, you could do worse than turn to the human brain: it's small, energy efficient, and has been functionality unmatched by any other machine you'd care to name. Given the performance of the human brain is still orders of magnitude ahead of the most powerful supercomputer in existence, yet it requires orders of magnitude less space to house it and energy to run it, researchers believe technology that mimics the human brain -- known as neuromorphic computing -- could be the future of computing. Despite its name, the aim of neuromorphic computing is not simply to model the workings of human grey matter (though researchers are indeed using it for that). Instead, neuromorphic computing is using the human brain as the inspiration for a new wave of low-energy, high-power hardware that could end up in everything from supercomputers to smartphones.

The new Endpoint Protection uses machine learning, cloud capabilities and memory exploit to neutralise threats. Symantec has introduced Endpoint Protection 14, based on machine learning, to defeat cyber threats at endpoint. With the innovative protection techniques, the security company claims that the solution can stop and give response to threats at the endpoint itself, no matter how the attack is launched. According to the company, Endpoint Protection 14 is the first solution to combine essential endpoint technologies with machine learning and memory exploit mitigation in a single agent. Symantec says that the new product is a light weight package and claims that it has 99.9% efficacy, lower rate of false positives and 70% reduced footprint compared to previous generations, thanks to cloud lookup capabilities.

Celgene and IBM are teaming up on a new patient safety monitoring platform to improve pharmacovigilance methods throughout the drug development process. The platform, dubbed IBM Watson for Patient Safety, will combine Watson's cognitive computing chops with Celgene's extensive experience in drug safety and risk management. It will be an outcome- and evidence-based drug safety decision support system for life sciences companies, the duo said in a statement. It will run on the Watson Health Cloud. The highly automated, modular, end-to-end drug safety platform will allow for the rapid collection, collation and automated analysis of vast amounts of data from a variety of sources, the companies said in a statement.

IT giant Fujitsu has been developing a series of in-house technologies aimed at the burgeoning market of artificial intelligence and machine learning. Although the company has made less fanfare of its ambitions in this regard than companies like IBM, Google and Microsoft, the Japanese multinational seems intent on expanding its datacenter business into this new high-value segment. The step-up in AI focus has been especially noticeable over the past several months, where hardly week went by without an announcement of a new technology or use case. In fact, Fujitsu has issued no less than 15 press releases on AI or machine learning since the beginning of 2016. Most are the result of technologies developed at Fujitsu Laboratories.

Project Tokyo was inspired in part by the results of related research at Microsoft that demonstrate possibilities from emerging technology. The Cognitive Services Face API used in the Seeing AI research project highlights the potential benefit of improved facial recognition technology. The Cities Unlocked project taps rich streams of geo-based data to accurately inform users of the proximity of landmarks and destinations via a 3D SoundScape experience. We're excited about the prospect of entirely new prototypes emerging in Project Tokyo as a result of the enhanced expertise developed under these efforts along with the expertise provided from our partners.

Virginia Rometty talks about how her company has changed its focus as the world has changed. ROMETTY: It's very customized and tailored, and learns from how you behave and what you do. Everything from reminding you to pick up your child's prescription on the way home, to it knows your coffee, it orders it for you, and it gets smarter and smarter from all these interactions. This will roll out with 2017 cars. ROMETTY: I expect that to be happening through lots of clients.

The UK fintech market is experiencing a new wave of innovation. Developments in artificial intelligence and machine learning are giving rise to a new generation of fintech startups. Prop trading houses and hedge funds have been using machine learning techniques for years to beat financial markets. It's interesting to see A.I. making its way into mainstream fintech. Companies are leveraging the technology to make sense of large volumes of data, making financial products and services more accessible for the end user.