It might not be obvious to a human, but an artificial intelligence programme sees distinct similarities in, say, the composition of the subjects, or colour of their outfits. Called Recognition, the AI programme compares current photojournalism provided by Reuters with works from the Tate's collection to find its best match. It pairs the images based on image recognition techniques that analyse objects, faces, composition, and context gleaned from metadata. The AI matches a photo of eunuchs putting on makeup in Mumbai (Image: REUTERS/Danish Siddiqui TPX IMAGES OF THE DAY) with Sir Peter Lely's Two Ladies of the Lake Family c.1660 (Image: Tate) "We wanted to understand how we could bring artificial intelligence into a museum, and how rational and objective thinking could be applied to a subjective thing like art," said Angelo Semeraro of Italian research centre Fabrica. He and teammates Coralie Gourguechon, Monica Lanaro, and Isaac Valentin created the project to enter (and win) the Tate's 2016 IK Prize for digital innovation, which is run in partnership with Microsoft.

It's not hyperbole to say that use cases for machine learning and deep learning are only limited by our imaginations. About one year ago, a former embedded systems designer from the Japanese automobile industry named Makoto Koike started helping out at his parents' cucumber farm, and was amazed by the amount of work it takes to sort cucumbers by size, shape, color and other attributes. Makoto's father is very proud of his thorny cucumber, for instance, having dedicated his life to delivering fresh and crispy cucumbers, with many prickles still on them. Straight and thick cucumbers with a vivid color and lots of prickles are considered premium grade and command much higher prices on the market. But Makoto learned very quickly that sorting cucumbers is as hard and tricky as actually growing them.

It's a modest test, but it's ramping up to something much more impressive: In December, the robot is scheduled to return to the airport as a guide. Visitors will be able to ask for directions to say, the currency exchange counter, and EMIEW3 will physically lead them there. Neat! Hitachi's bot is particularly well suited to the task because of it's mobility: it can zip along at a steady 3.7MPH and even pick itself up if it falls down. Just don't ask it to take you directly to your gate -- airport security probably isn't used to clearing robots.

Getting lost in an international airport is never fun -- but if you're lost in Japan's Haneda this month, you'll at least be able get help from an adorable talking robot. From now until the 14th, Hitachi is testing its EMIEW3 humanoid robot in the airport's passenger terminal. Over the course of two weeks, EMIEW3 will direct visitors to an information display and answer questions in both English and Japanese. It's a modest test, but it's ramping up to something much more impressive: In December, the robot is scheduled to return to the airport as a guide. Visitors will be able to ask for directions to say, the currency exchange counter, and EMIEW3 will physically lead them there.

Clinton said she thought small classified markings were something else. When asked if she understood the "C" markings beside some paragraphs, Clinton told the FBI she assumed they indicated alphabetical ordering.

While perception tasks such as visual object recognition and text understanding play an important role in human intelligence, the subsequent tasks that involve inference, reasoning and planning require an even higher level of intelligence. The past few years have seen major advances in many perception tasks using deep learning models. For higher-level inference, however, probabilistic graphical models with their Bayesian nature are still more powerful and flexible. To achieve integrated intelligence that involves both perception and inference, it is naturally desirable to tightly integrate deep learning and Bayesian models within a principled probabilistic framework, which we call Bayesian deep learning. In this unified framework, the perception of text or images using deep learning can boost the performance of higher-level inference and in return, the feedback from the inference process is able to enhance the perception of text or images. This paper proposes a general framework for Bayesian deep learning and reviews its recent applications on recommender systems, topic models, and control. In this paper, we also discuss the relationship and differences between Bayesian deep learning and other related topics like Bayesian treatment of neural networks.

Hitachi Ltd. started trials of its EMIEW3 humanoid robot at Tokyo's Haneda airport on Friday to aid foreign visitors to Japan. During the trials through December in the airport's domestic Terminal 2, the robot will communicate with passengers in Japanese and English at a designated information center as well as display information. The industrial conglomerate is hoping to enable the 90-centimeter-tall humanoid robot with autonomous capabilities to guide users to destinations starting around December. At a demonstration on Friday morning, a female foreign passenger asked EMIEW3 for directions to a foreign exchange counter. The humanoid robot at the information center called another EMIEW3 robot to take her to the location.

Apple's Siri upgrades will let you dictate LinkedIn messages, verbally search for shoe photos on Pinterest, and hail an Uber, hands-free. When Apple unveils its new iPhone Wednesday, it's expected to push hard on software improvements available for its next mobile operating system, iOS 10, available for current iPhones and a predicted new iPhone model. The iPhone's voice-activated digital assistant Siri will be a key part of this upgrade, say tech analysts and developers. Siri, primarily used for voice commands to dial phone numbers, set reminders and get traffic information, has been opened to third-party developers after five years of existence. "This is such a huge leap," says Sagi Dudai, vice-president of mobile development for voice over internet protocol company Vonage.

Michael B. Jordan scored with a breakthrough role in a football series and took a swing at movie stardom in a boxing flick. The "Creed" star has transitioned to basketball for his latest -- though virtual -- role in the "NBA 2K17" video game. Jordan performs in the game's MyCAREER storyline in the latest edition of the hoops hit. "NBA 2K11" and "NBA 2K16" are widely considered among the best basketball video games. Jordan hoped another role in a continuation of a popular sports anthology would add this year's version to the list of best basketball games.

Isaac Asimov publishes Pebble in the Sky, his first science-fiction novel. And Earth enters a brand new epoch – according to some geologists. Now the idea of the Anthropocene – the period in which human activity profoundly shapes the environment – has taken an important step closer to general acceptance. A working group of scientists has been mulling over the subject for seven years. This week 30 of its 35 members recommended adding the Anthropocene to our standard geological timescale. The ultimate decision rests with the International Commission on Stratigraphy.