Self-supervised depth estimators have recently shown results comparable to the supervised methods on the challenging single image depth estimation (SIDE) task, by exploiting the geometrical relations between target and reference views in the training data. However, previous methods usually learn forward or backward image synthesis, but not depth estimation, as they cannot effectively neglect occlusions between the target and the reference images. Previous works rely on rigid photometric assumptions or on the SIDE network to infer depth and occlusions, resulting in limited performance. On the other hand, we propose a method to Forget About the LiDAR (FAL), with Mirrored Exponential Disparity (MED) probability volumes for the training of monocular depth estimators from stereo images. Our MED representation allows us to obtain geometrically inspired occlusion maps with our novel Mirrored Occlusion Module (MOM), which does not impose a learning burden on our FAL-net.

An effective artificial intelligence strategy uses the right tools to solve the right problems, an analyst says. Dean Lacheca, Senior Director Analyst for Gartner, told delegates at the Gartner IT Symposium/Xpo in the Gold Coast on Monday that they need to stop seeing AI as a futuristic piece of technology. "AI, in reality, is more than just a tool. It's a whole range of tools with different variations in complexities, costs of ownerships, consequences and opportunities," he said. A good strategy allows organisations to manage risks, address and mitigate concerns and accelerate the role of AI within an organisation, Mr Lacheca says.

Deep learning is changing the way we use and think about machines. Current incarnations are better than humans at all kinds of tasks, from chess and Go to face recognition and object recognition. In particular, humans have the extraordinary ability to constantly update their memories with the most important knowledge while overwriting information that is no longer useful. The world provides a never-ending source of data, much of which is irrelevant to the tricky business of survival, and most of which is impossible to store in a limited memory. So humans and other creatures have evolved ways to retain important skills while forgetting irrelevant ones.

Deep learning is changing the way we use and think about machines. Current incarnations are better than humans at all kinds of tasks, from chess and Go to face recognition and object recognition. In particular, humans have the extraordinary ability to constantly update their memories with the most important knowledge while overwriting information that is no longer useful. The world provides a never-ending source of data, much of which is irrelevant to the tricky business of survival, and most of which is impossible to store in a limited memory. So humans and other creatures have evolved ways to retain important skills while forgetting irrelevant ones.

A square-jawed Presidential candidate with an embedded RFID microchip in his hand which opens doors for him, riding around the United States in a coffin-shaped vehicle called the "Immortality Bus," sounds like a scene out of a David Foster Wallace novel. That he wants you (yes, you!) to live forever. "The number one platform that we have at the transhumanist party and in my campaign is trying to overcome death with science and technology," Istvan told Digital Trends. "That is the central premise I've been running my campaign on." Like Donald Trump, 43-year-old Istvan is funding his own campaign.

With this month finally seeing the release of No Man's Sky, in which players can investigate and explore a huge universe full of diverse planets, I couldn't help but be reminded that although outer space has always held a fascination for many, there's another largely unexplored area much closer to home – the ocean. Although water makes up about 70% of Earth's surface, it is estimated that humans have only explored around 5% of the seabed. Aquatic legends such as Atlantis, the Bermuda triangle, and the disappearance of the USS Scorpion in 1968 have captured the imaginations of many a budding oceanographer, and as such the depths of the sea are an unknown region still ripe for mythologizing – which is exactly what Abzu does, in the first release from Giant Squid software. Directed by Matt Nava, who worked as art director on Journey and Flower for thatgamecompany, the style is instantly reminiscent of his previous work, with players taking control of a stylised'Diver' character. Dropped into the ocean with little explanation, the first thing you notice is how - no matter how long you spend underwater - there's no air gauge to run out.