If you're a company entrenched in an arms race for artificial intelligence (AI) technologies, you could do worse than tapping into a pool of thousands of data scientists to augment your digital products and services. That's the pole position Google holds after acquiring crowdsourcing platform Kaggle last week for an undisclosed sum. Set up by Anthony Goldbloom in his Sydney bedroom, some 600,000 professional data crunchers use Kaggle to build prediction models for such heady challenges as cancer detection and heart disease diagnoses. And experts say Kaggle could help Google facilitate broader adoption of AI technologies. "Data science and machine learning is now global and this is a validation of the idea that Google recognizes that most of the smartest people in the world work for somebody else," Neil Jacobstein, who chairs the artificial intelligence and robotics track at Singularity University, told CIO.com.

Astro Teller knows how to draw attention. He was wearing his rollerblades on Thursday when he glided into a roomful of reporters to announce that Project Loon--Alphabet's wacky-sounding plan to deliver the internet to the world's farthest-flung places via giant balloons--is even closer to reality than the company previously thought. It was a made-for-the-press moment, but Teller buried the lede. It's cool that these balloons may soon start broadcasting internet signals from the stratosphere. But the bigger deal here is that machine learning is moving beyond its digital origins into the real world.

Robots have communicated with each other using a shared language they made up as they went along in an amazing new experiment. Experts at Elon Musk's artificial intelligence lab have taught robots to start their own language so they could help each other complete simple tasks. In the future, researchers hope that as the language becomes more complex they will have a'translator bot' who will be able to convert robot chat into English. Experts created a two dimensional world to navigate and the robots - or agents - were four coloured circles - green, red and blue. This layout allowed the robots to communicate with each other in order to complete tasks.

Tech giants are in a race to see who can build the most powerful voice-activated assistant, but there's a side effect that we haven't considered: Kids who grow up asking Amazon's Alexa questions or summoning Siri might lose some social skills. What if artificial intelligence changes the way we talk? Experts in robotics, machine learning, and AI descended on Austin for South by Southwest this week, and the biggest questions were lifted straight from the film Her. Is it changing the way we interact with each other? Will kids think they can order around their friends the same way they tell Alexa to tell them a joke?

One of the biggest events in the tech calendar is set to take place later this month, with Samsung belatedly preparing to unveil its new flagship smartphone, the Galaxy S8. It will launch alongside the Galaxy S8, a larger model that's expected to come with many of the same features and specifications. Here's everything you need to know about the Samsung Galaxy S8 ahead of its release. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.

Distributed planning, communication, and control algorithms for autonomous robots make up a major area of research in computer science. But in the literature on multirobot systems, security has gotten relatively short shrift. In the latest issue of the journal Autonomous Robots, researchers from MIT's Computer Science and Artificial Intelligence Laboratory and their colleagues present a new technique for preventing malicious hackers from commandeering robot teams' communication networks. The technique could provide an added layer of security in systems that encrypt communications, or an alternative in circumstances in which encryption is impractical. "The robotics community has focused on making multirobot systems autonomous and increasingly more capable by developing the science of autonomy. In some sense we have not done enough about systems-level issues like cybersecurity and privacy," says Daniela Rus, an Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT and senior author on the new paper.

For years, Facebook has been investing in artificial intelligence fields like machine learning and deep neural nets to build its core business--selling you things better than anyone else in the world. But earlier this month, the company began turning some of those AI tools to a more noble goal: stopping people from taking their own lives. But it's not just tech giants like Facebook, Instagram, and China's up-and-coming video platform Live.me who are devoting R&D to flagging self-harm. Doctors at research hospitals and even the US Department of Veterans Affairs are piloting new, AI-driven suicide-prevention platforms that capture more data than ever before. The goal: build predictive models to tailor interventions earlier.

No matter how many books you read, tutorials you finish or problems you solve, there will always be a data set you might come across where you get clueless. Specially, when you are in your early days of Machine Learning. In this blog post, you'll learn some essential tips on building machine learning models which most people learn with experience. These tips were shared by Marios Michailidis (a.k.a Kazanova), Kaggle Grandmaster, Current Rank #3 in a webinar happened on 5th March 2016. The key to succeeding in competitions is perseverance. Marios said, 'I won my first competition (Acquired valued shoppers challenge) and entered kaggle's top 20 after a year of continued participation on 4 GB RAM laptop (i3)'. Were you planning to give up? While reading Q & As, if you have any questions, please feel free to drop them in comments!

Do you know where the next cyber attack will strike or when it's likely to happen? Using machine learning techniques and data analysis, it's now possible to forecast cyber attacks with a decent degree of accuracy. Mind you, we can't pinpoint the exact time of an attack, but like weather forecasters, we can review the available data, look for digital fingerprints and behavior patterns and assess whether a specific target is in the crosshairs of cybercriminals. Like sharks circling prey, attackers exhibit certain behaviors and characteristics when they're planning to strike, and we're getting better at detecting the early stages of their kill chain. In some recent cases, Level 3 Threat Research Labs identified behavior signaling an imminent attack and notified the targets.

SAP Labs in India is the second largest R&D centre for the company after its centre in Walldorf in Germany and among the 3 hubs in SAP Labs network of 19 Labs across 16 countries. Dilipkumar Khandelwal, Managing Director for SAP Labs in India, has a dual role as he is also the Executive Vice President and Global Head of Enterprise Cloud Services for SAP. Edited excerpts: What is the SAP Lab's focus here? Do you focus more on the local needs to serve SAP India or do you essentially serve global needs? SAP Labs India was founded in 1998.