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One of the biggest challenges of the 21st century is to make computers more similar to the human brain. We want them to speak, understand and solve problems — and now we want them to see and recognize images.

For a long time, our smartest computers were blind. Now, they can see.

This is a revolution made possible by deep learning.

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Robotic Custom Guards — could this be the answer to all countries problems for border security and police as part of fairness?


NK Technology, Beijing, Oct 2 : Ten robots have started working as customs officers at three ports in China’s Guangdong province, authorities said on Sunday.

They were the first batch of intelligent robots, to be used by Chinese customs at the ports of Gongbei, Hengqin and Zhongshan, Xinhua news agency reported.

The robots, named Xiao Hai, have state-of-the-art perception technology and are able to listen, speak, learn, see and walk.

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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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