Uber is making an aggressive drive into meal delivery, backed by a wave of staff recruitment, with the U.S. tech heavyweight gearing up to enter at least 22 new countries and take on local rivals. In a measure of rising ambition beyond its taxi business, Uber will begin delivering meals in Amsterdam on Thursday just as Dutch market leader Takeaway.com And according to current job listings on Uber and other recruiting sites - for about 150 roles ranging from general managers and sales staff to bike couriers - UberEats is planning to enter at least 22 new countries across the world in the near future. That is on top of the six countries where it already operates. Uber is making an aggressive drive into meal delivery, backed by a wave of staff recruitment, with the U.S. tech heavyweight gearing up to enter at least 22 new countries and take on local rivals Download the UberEATS app and add your delivery address.

Crafting a story has always been tricky in the video game world. And it's only been getting harder. Many of gaming's biggest blockbusters have touted their "open world" environments -- worlds that let players run down roads less traveled with more side quests than you could shake a machine gun at. Yet while players have liked the feeling of having no limits, there's been some backlash, too. Gamers prefer having a plot.

DeepBench is available online along with first results from Intel and Nvidia processors running it. The benchmark tests low-level operations such as matrix multiplication, convolutions, handing recurrent layers and the time it takes for data to be shared with all processors in a cluster. Machine learning has emerged as a critical workload for Web giants such as Baidu, Google, Facebook and others. The workloads come in many flavors serving applications such as speech, object and video recognition and automatic language translation. Today the job of training machine learning models "is limited by compute, if we had faster processors we'd run bigger models…in practice we train on a reasonable subset of data that can finish in a matter of months," said Greg Diamos, a senior researcher at Baidu's Silicon Valley AI Lab.

In one part of rebel-held Aleppo, nearly all residents have left, the ones who remain face starvation.

Who has not dreamed of being an artist? This dream is now within everyone's reach thanks to the Prisma application and the artificial intelligence. First released back in June in the Apple App Store, the Prisma app (developed by Russia-based company Prisma Labs) uses neural networks and AI technology to turn normal photos into instant famous painters' art styles (abstract, impressionist, Gothic and several others). It is almost like carrying Picasso in your pocket and ask him to paint for you. The art filters and photo effects create such a mind-blowing result that the app broke the Apple download records in Russia.

Standing in line for the latest iPhone at the Apple store, queueing for tickets to Wimbledon or even just waiting at the post office might just have got a lot easier. Japanese car-maker Nissan claims to have just the thing to relieve the sore legs of weary queuers. The new system of'self-driving' chairs is designed to detect when someone at the front of the queue is summoned, and automatically move everyone else one step forward in line. The chairs are equipped with autonomous technology that detects the seat ahead. When the person at the front of the queue is summoned, the empty chair at the front can sense it is empty, so moves out of pole position.

The first presidential debate between Hillary Clinton and Donald Trump is in the books. I tweeted, took notes and picked some winners and losers. At times she came across as overly rehearsed and robotic. This week, the advertising world converges on New York City to discuss the industry and its ongoing changes. The team at Advertising Week has created a program full of interesting speakers and topics, including brand storytelling, mobile advertising and diversity.

At a political rally in Moscow, police are reported to have attempted to handcuff and detain an activist called Promobot. The event at which the futuristic fracas occurred was in support of Valery Kalachev, a candidate for Russia's parliament. Kalachev was using the automaton to record the opinions and reactions of the crowd for future processing. Apparently that didn't sit well with Russian police officers, who "asked to remove the robot … and even tried to handcuff him," according to the robot's makers, who added that "the robot did not put up any resistance." There is, of course, a whiff of publicity stunt about the whole thing--buoyed by the fact that Promobot already has a track record for getting into scrapes.

Even in Top IT companies, recruitment/hiring process is the least technology driven activity. Either companies are still living in stone-age and maintaining applicant records in excel; or they are forced to use custom tools/interfaces which somehow get integrated with their existing IT infrastructure. Although job seeking has evolved in last few years. Job seeker can use online professional networks, job portals, placement agencies, assessment companies and/or training institutes. But every single channel has its own path.

There is a huge buzz about Artificial Intelligence or Machine learning or rather Deep learning now a days. And you may not know it yet, but these technological developments are playing a key role in what you see and experience on internet these days. From a long time, Deep learning was heavily used to perform computer vision applications, but soon enough, some amazing players in the industry realized that its not just visual data from where one can extract insights using Deep learning, but the same principles can also be applied to textual data and thus these organizations are actually driving a new wave of NLP through deep learning in the industry. Hard to say about you, but we were pleasantly surprised to know that there are about 120 Deep Learning startups only in the bay area. UK, China, India etc are yet to be included in this number. The landscape for Deep Learning and Machine Learning applications is wide and few companies have started exploring this aspect and have come up with some really promising products that would help businesses to drive decisions owing to growth.