Last fall, Google introduced a new system for machine-assisted language translations, Google Neural Machine Translation system (GNMT), which takes advantage of deep neural networks to translate entire sentences – not just phrases – for greatly improved translations. The company put the system to work in Google Translate for eight language pairs in November, and is today expanding support to three more: Russian, Hindi and Vietnamese. Neural Machine Translation went into action late last year with support for translating to and from English and French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish. These represent the native languages of around one-third of the world's population, covering more than 35% of all Google Translate queries, the company said at the time. Today's news is also fairly significant in terms of scale, as in the U.S. alone, 1,292,448 people speak Vietnamese; another 836,171 speak Russian; and 586,173 speak Hindi, Google says, citing U.S. census data. And more languages will be added in weeks ahead, including Thai, which didn't quite make today's release.

This is a curated list of the most cited deep learning papers (since 2012) posted by Terry Taewoong Um. Source for picture: What is deep learning and how does it work?

The iPhone 8 is going to be bigger than any phone Apple has ever made, according to a new report. The company will make an iPhone 7s and 7s Plus, in the same sizes as the models they replace. But the real new phone will be the iPhone 8 – a phone much bigger even than the 7 Plus. The new phone's OLED screen will stretch across 5.8 inches of the front of the screen, according to a new report from Nikkei Asian Review. But the iPhone 8 will save space by getting rid of the bezels that wrap around the display on the front of the phone, allowing the screen to take up most of the handset's size.

Even though artificial intelligence may have positive effects, why create it if it has the potential to backfire. Many big tech companies are increasingly adopting artificial intelligence to make their businesses more efficient. In January 2015, Stephen Hawking, Elon Musk, and dozens of artificial intelligence experts signed an open letter on artificial intelligence calling for research on the societal impacts of AI. Artificial Intelligence, chatbots, self –driving cars and robots often seem like a part of science fiction movies, but in reality, they have already started affecting our daily lives. For example, companies like Wipro and Infosys are deploying AI platform to do the job of engineers.

The South by Southwest Conference promises to have a very different tone than last year, when then-President Obama was warmly welcomed for a keynote presentation on civic engagement in the 21st century. For the creators, marketers and entrepreneurs descending this weekend on Austin, Texas, politics in the wake of President Trump will surely be top of mind, perhaps even overshadowing some of the innovation in virtual reality and artificial intelligence. Instead of undermining the value for marketers eager to enlist technology in their work, however, the dynamic might highlight connections that are increasingly important to recognize. "Rather than a piece of technology or launch of a new app, this year's conference will really be about the way all the things happening in politics are being threaded through what everyone does," said David Grant, president of PopSugar Studios, the video unit at publisher PopSugar. "While in the past typically the focus is on a few new toys to play with, this year it is about how do these new toys affect journalism access and the ability to distinguish between real and fake news?"

A human study participant sends feedback on a robot's success rate as it sorts objects. For many of us, picking up on someone else's disapproval can lead to anxiety or defensiveness, but for a new mind-monitoring robot, unspoken criticism is the very best kind. In their pursuit of a seamless brain-bot interface for letting humans control machines with their minds, researchers from MIT's Computer Science and Artificial Intelligence Laboratory have created a feedback system that lets robots detect and correct their errors based solely on a human's unspoken observation. Based on brain activity from an electroencephalography (EEG) monitor, the system detects when hooked-in persons notice an error in its sorting work, and adjusts its behavior accordingly within milliseconds. An illustration shows the communication loop between human subjects and ErrP-sensitive robots.

Baxter is but a child, with bright eyes and a subtle grin. It sits at a table and cautiously lifts a can of spray paint, then dangles it over a box marked "WIRE." The error seems to smack Baxter across the face--its eyebrows furrow and blush appears on its cheeks. It swings its arm to an adjacent box marked "PAINT" and drops in the can with a clunk and that spray-paint rattle. "Good," says a voice off-screen, as Baxter's face reverts to a grin.

Ransomware attacks escalated dramatically in 2016. In fact, there was a 300 percent increase in ransomware attacks last year, according to the FBI, to an average of 4,000 attacks a day, up from 1,000 ransomware attacks a day in 2015. What's more, organizations are targeted more frequently than individuals because they generate a much bigger potential payoff. Ransomware has become a profitable criminal enterprise that continues to change and grow. Managed Service Providers often assist clients with data restoration to avoid the downtime that can be caused by a ransomware attack. They also work with clients to improve their security posture overall so they can avoid ransomware damage.

Dublin-based software firm Artomatix has closed a €2.1 million seed round with investors that include Enterprise Ireland. Artomatix, which employs 17 people, was founded in March 2014 by Dr Eric Risser, Neal O'Gorman and Bart Kiss. It has developed artificial intelligence (AI) technology to help automate 3D art creation for game design. The company's technology, known as Example Based Content Creation, relies on Dr Risser's expertise in machine learning, computer vision and graphics developed over 10 years of research. The technology gives 3D artists the ability to speed up their workflow thanks to algorithms that can generate thousands of images based on the initial design and parameters that an artist provides.

What does the concept of artificial intelligence (AI) conjure up in the mind of the consumer? Will our children be replaced by fun-loving androids as the eponymous 2001 Steven Spielberg film A.I. suggests? Or perhaps grown adults will suddenly be replaced by robots in the workplace? While all of that may seem a little far-fetched, in reality, AI is already integral to many consumers' daily lives – in the form of image and voice recognition on mobile devices; personalised viewing suggestions on streaming platforms such as Amazon Video or Netflix; or voice interaction/recognition analysis incorporated into search engines such as Google. AI has also gained recognition in the healthcare sector – machine learning applications that have the potential to assist hospital staff in routine tasks such as keeping a patient's treatment records up to date are being tested and the voice-controlled Amazon Echo device, Alexa, can assist patients at home with tasks such as reminding them to take medication or arranging a GP appointment.