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"Scene recognition is one of the hallmark tasks of computer vision, allowing defining a context for object recognition. Here we introduce a new scene-centric database called Places, with 205 scene categories and 2.5 millions of images with a category label. Using convolutional neural network (CNN), we learn deep scene features for scene recognition tasks, and establish new state-of-the-art performances on scene-centric benchmarks. Here we provide the Places Database and the trained CNNs for academic research and education purposes."

"Our mission is to organize the world's information and make it universally accessible and useful, and AI is enabling us to do that in incredible new ways - solving problems for our users, our customers, and the world. AI makes it easier for you to do things every day, whether it's searching for photos of people you love, breaking down language barriers, or helping you get things done with your own personal digital assistant. But it's also providing us with new ways of looking at old problems and helping transform how we work and live, and we think the biggest impact will come when everyone can access it."

"The Digital News Initiative (DNI) is a partnership between Google and publishers in Europe to support high-quality journalism through technology and innovation."

'We're releasing an API for accessing new AI models developed by OpenAI. Unlike most AI systems which are designed for one use-case, the API today provides a general-purpose "text in, text out" interface, allowing users to try it on virtually any English language task. You can now request access in order to integrate the API into your product, develop an entirely new application, or help us explore the strengths and limits of this technology.'

news topic: Artificial Intelligence

Ai Research is a leading artificial intelligence research project. At Ai, we're creating a new form of life. Our expanding web site is an essential part of the emerging global discussion about artificial intelligence. On this website, we showcase the state of the art in pattern-matching conversational machines, demonstrated by Alan, and in reinforcement learning algorithms, demonstrated by HAL. Use our forums, original papers, online labs, demos and links to explore what's happening both at Ai (the project) and in AI (the field).

Researchers at Stanford University in the US have developed new sensors that can be adhered to the skin for wireless monitoring of health. The sensors are designed to identify the physiological signals that the skin emanates, such as pulse. These readings will be wirelessly transmitted to a receiver clipped onto clothing. The sensor and receiver system has been named BodyNet.

UK-based online therapy provider Ieso Digital Health has applied deep learning to provide new insights into which aspects of psychotherapy are the most effective.

Advances in cancer treatments, such as immunotherapies and precision medicines, have been associated with a corresponding rise in the cost of new and innovative medicines.

Patient enrolment has begun on Biotronik's study of its new Acticor and Rivacor range of cardiac rhythm management (CRM) devices.

Researchers at the University of Washington have developed a new contactless artificial intelligence (AI) tool to monitor at-risk patients for cardiac arrest, even when they're asleep.

Neuro-Evolving Robotic Operatives, or NERO for short, is a unique computer game that lets you play with adapting intelligent agents hands-on. Evolve your own robot army by tuning their artificial brains for challenging tasks, then pit them against your friends' teams in online competitions! New feat

"Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence."

"In this era of fears that Artificial Intelligence will destroy humanity, SARA is a Socially-Aware Robot Assistant that interacts with people in a whole new way, personalizing the interaction and improving task performance by relying on information about the relationship between the human user and virtual assistant. Rather than taking the place of people, Sara is programmed to collaborate with her human users. Rather than ignoring the socio-emotional bonds that form the fabric of society, Sara depends on those bonds to improve her collaboration skills."