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Category: robotics/AI – Page 2,414

A group of Polish cave divers have stumbled upon what would be the world’s deepest underwater cave. The cave is called Hranicka Propast, and it was recently examined with an underwater robot in the Czech Republic.

While scientists have always known this mysterious cave to be deep, it was until a team of spelunkers took a closer look that they realized just how astonishingly deep it was. They have measured it at 1,325 feet deep, which would make it the deepest cave yet discovered on Earth. The previous record holder is Pozzo del Merro, a cave in Italy that is 1,286 feet deep.

This isn’t your typical diving scenario, so the team needed a remote operative vehicle to access this cave. Still, scientists have dived their before — many times over the years, in fact. It has often been explored because it was formed from hot mineral water bubbling from the bottom, and not from rain coming down as is the case in most caves. It’s a very unusual geological feature.

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A competition pitting artificial intelligence (AI) against human players in the classic video game Doom has demonstrated just how advanced AI learning techniques have become – but it’s also caused considerable controversy.

While several teams submitted AI agents for the deathmatch, two students in the US have caught most of the flak, after they published a paper online detailing how their AI bot learned to kill human players in deathmatch scenarios.

The computer science students, Devendra Chaplot and Guillaume Lample, from Carnegie Mellon University, used deep learning techniques to train their AI bot – nicknamed Arnold – to navigate the 3D environment of the first-person shooter Doom.

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Project DataWorks predictive model (credit: IBM)

IBM today announced today Watson -based “Project DataWorks,” the first cloud-based data and analytics platform to integrate all types of data and enable AI-powered decision-making.

Project DataWorks is designed to make it simple for business leaders and data professionals to collect, organize, govern, and secure data, and become a “cognitive business.”

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As the saying goes, “If you want something done right, you gotta do it yourself,” and it seems that you’ll soon be able to get a lot more done using artificially intelligent, high-tech exoskeleton Kindred. It’s the product of a startup created by quantum computing company D-Wave’s founder Geordie Rose, and according to the venture capital firm funding Kindred, the device “uses AI-driven robotics so that one human worker can do the work of four.”

Based on a patent application, the wearable system is envisioned as a 1.2-meter tall humanoid that may be covered with synthetic skin. It will include a head-mounted display and an exo-suit of sensors and actuators that carries out everyday tasks.

Essentially, it looks something like Spider-Man’s Doctor Octopus on the outside, but on the inside, Kindred utilizes quantum computation, a way of information processing and storage that is much faster and more powerful than that used by conventional computers. Data “learned” by the suit can be taught to other robots, allowing those robots to then perform the tasks autonomously.

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Phototactic behaviour directs some bacteria towards light and others into darkness: This enables them to utilize solar energy as efficiently as possible for their metabolism, or, otherwise, protects them from excessive light intensity. A team of researchers headed by Clemens Bechinger from the Max Planck Institute for Intelligent Systems and the University of Stuttgart, as well as colleagues from the University of Düsseldorf have now found a surprisingly simple way to direct synthetic microswimmers towards light or darkness. Their findings could eventually lead to minuscule robots that seek out and treat lesions in the human body.

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A new system called HeroSurg, developed by researchers at Deakin and Harvard Universities, is set to increase what surgeons can achieve via robotic surgery, using a haptic feedback system to provide a sense of touch. It also brings other improvements over existing tech, such as collision avoidance, to make robotic surgery safer and more accurate.

Robotic surgery, wherein human-controlled robots perform delicate surgical tasks, has been around for a while. One great example of the tech is the da Vinci robotic surgical system from Intuitive Surgical – a setup made up of numerous robotic arms, a console to operate the instruments, and an imaging system that shows the surgeon what’s happening in real time. In 2008, Professor Suren Krishnan, a member of the team behind HeroSurg, became the first surgeon to perform ear, throat and nose operations using the da Vinci robotic surgical system.

Since then, we’ve seen numerous breakthroughs, including improvements to the original da Vinci system, and other robots emerging capable of achieving impressive tasks, such as performing surgery on a beating heart, or successfully stitching soft tissue.

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