Facebook has started using artificial intelligence to identify users who are potentially at risk of committing suicide. The social network has developed algorithms capable of scanning posts and comments for warning signs. These could be phrases such as "Are you okay?" or "I'm worried about you", or more general talk of sadness and pain. The AI tool would send such posts to a human review team, which would get in touch with the user thought to be at risk and offer help, in the form of contact details for support services or a chat with a member of staff through Facebook Messenger. The site had previously relied on other users reporting worrying updates.

People trying to comment on articles will now be forced to prove they understand what it's about. That's at least at Norwegian broadcaster NRK's website, which will present people who want to leave comments with a quiz that asks them about what the story is actually about. The creators of the quiz hope that asking people the questions will make sure that everyone on the comment actually understands it. 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.

CloudMinds, a Chinese startup developing cloud-intelligence-based services for robotics and other application areas, raised $100 million in a Series A funding round. Although no funder information was provided, seed financing was provided by SoftBank, Foxconn, Walden International and Keytone Ventures. Desktop Metal, a 3D metal printing startup based in Burlington, Mass., is gearing up to take its first product into production and raised $45 million from GV, BMW I Ventures and Lowe's Ventures. The company has now raised a total of $97 million. Other investors include NEA, Kleiner Perkins Caufield & Byers, Lux Capital, GE Ventures, Saudi Aramco, and Stratasys.

Machine learning is shaking up standard practices and enabling radical improvements around personalization, customer segmentation, and campaign performance. For early adopters of machine learning, statistics show they are edging out their competitors and creating impossible-to-ignore customer engagements. Predictive marketers who use machine learning are 2.9 times more likely to report revenue growth at rates higher than industry average, according to a Forrester Research study. They are also 2.1 times more likely to "occupy a commanding leadership position in the product/service markets they serve." Clearly, machine learning is giving these marketers an advantage.

The Big Data revolution in business has come about due to the huge increase in the amount of information we're able to capture and analyze, from an ever growing number of sources. It's the driving force behind a wider wave of technology-driven transformation which is taking place thanks to advances in fields such as automation, artificial intelligence and machine learning. Self-driving cars, personalized medicine and the "fourth industrial revolution" are all built on Big Data. But the growth in the amount of data available is just the start. Forward-thinkers are aware that the way we consume – and act on – this data has to evolve, too, if we want to unlock its true potential. Data socialization is a term that's being heard more frequently, and it's an attempt to tackle the ongoing (and often mission-critical) process of making sure the right data is in front of the right person – a decision maker – at the right time.

We share new announcements and research in the field of deep learning.

This post highlights some of the possible economic implications of the so-called "Fourth Industrial Revolution" -- whereby the use of new technologies and artificial intelligence (AI) threatens to transform entire industries and sectors. Some economists have argued that, like past technical change, this will not create large-scale unemployment, as labour gets reallocated. However, many technologists are less optimistic about the employment implications of AI. In this blog post we argue that the potential for simultaneous and rapid disruption, coupled with the breadth of human functions that AI might replicate, may have profound implications for labour markets. We conclude that economists should seriously consider the possibility that millions of people may be at risk of unemployment, should these technologies be widely adopted.

By transforming their networks and operations with the newest technologies, mobile operators could double their cash-flow conversion within five years. The past several years have been tough for telecom companies. Their revenue and cash flows1 1. Cash flow is measured here in terms of earnings before interest, taxes, depreciation, and amortization (EBITDA) minus capital expenditures. Consumption of mobile data boomed, as masses of new wireless customers used their handsets to spend ever-increasing amounts of time online. Companies responded by investing heavily in their wireless networks, even as subscriber growth slowed. As a result, the average ratio of capital spending to revenues has remained stubbornly high, at around 15 percent, for the major players (Exhibit 1).

In 1945, Vannevar Bush published "As We May Think." In it he proposed a Memex, a massive microfilm storage device where users could navigate between documents to concepts throughout the database. His concept directly inspired the invention of hypertext by Ted Nelson and Douglas Engelbart. The hyperlinking that enables so much of our online experience-- such as this link regarding hypertext-- owes much to Bush's vision. What new media might arise as a result of advances in Artificial Intelligence (AI)?

Ducati Corse Races Ahead of the Pack with Accenture and Machine Learning Intelligent MotoGP Racing Bikes Build New Aptitude for Optimal Results MOBILE WORLD CONGRESS, BARCELONA; February 27, 2017 – Ducati Corse, the racing department of Ducati Motor Holding, a world leader in sports motorcycle manufacturing, is working with Accenture (NYSE: ACN) to integrate Internet of Things (IoT) and Artificial Intelligence technologies into the testing of its MotoGP racing bikes. Ducati Corse wants to make testing its race bikes faster, cheaper and more effective. Accenture Analytics, already Official Digital Partner to the Ducati Team racing in the MotoGP World Championship, has lately been working with them to create an intelligent testing approach with a bespoke analytics engine. Integrated Machine Learning technologies mean that the more data that enters the system, the more configurations are available for testing with increasingly accurate performance predictions. Data visualization tools designed for an intuitive user experience will allow testing engineers to interact with insights, tweaking them at any point to create a new perspective on configurations and race times.