Lifeboat Foundation

Vid Robots normally need to be programmed in order to get them to perform a particular task, but they can be coaxed into writing the instructions themselves with the help of machine learning, according to research published in Science.

Engineers at Vicarious AI, a robotics startup based in California, USA, have built what they call a “visual cognitive computer” (VCC), a software platform connected to a camera system and a robot gripper. Given a set of visual clues, the VCC writes a short program of instructions to be followed by the robot so it knows how to move its gripper to do simple tasks.

“Humans are good at inferring the concepts conveyed in a pair of images and then applying them in a completely different setting,” the paper states.

President Nana Addo Dankwa Akufo-Addo on Thursday opened Ghana’s newest medical drone delivery base at Asante Mampong as part of his duty tour of the Ashanti region this week.

This marks the second of what will be four medical drone delivery bases that have been commissioned to help expand access to critical and life-saving medicines for people across Ghana.

Zipline, a California-based robotics company, operates the medical drone delivery service with support from Gavi, the Vaccine Alliance, the Bill & Melinda Gates Foundation, the UPS Foundation and other partners.

3D Printing was one example of how technological advancement made manufacturing accessible to all. Will robots take all the jobs? I doubt it, but technological advancement will make many things inaccessible, accessible to many more than before, by lowering the cost of production. This is but one example.

Better clear out several shelves of storage space, vinylheads, because your record collection is about to expand into infinity. Soon, you’ll be able to get absolutely anything on vinyl. Even better—you’ll be able to make it.

The Phonocut is an at-home vinyl lathe, allowing anyone with a digital audio file and a dream to make a 10-inch record.

A new paper from researchers at the University of Chicago introduces a technique for compiling highly optimized quantum instructions that can be executed on near-term hardware. This technique is particularly well suited to a new class of variational quantum algorithms, which are promising candidates for demonstrating useful quantum speedups. The new work was enabled by uniting ideas across the stack, spanning quantum algorithms, machine learning, compilers, and device physics. The interdisciplinary research was carried out by members of the EPiQC (Enabling Practical-scale Quantum Computation) collaboration, an NSF Expedition in Computing.

Adapting to a New Paradigm for Quantum Algorithms

The original vision for quantum algorithms dates to the early 1980s, when physicist Richard Feynman proposed performing molecular simulations using just thousands of noise-less qubits (quantum bits), a practically impossible task for traditional computers. Other algorithms developed in the 1990s and 2000s demonstrated that thousands of noise-less qubits would also offer dramatic speedups for problems such as database search, integer factoring, and matrix algebra. However, despite recent advances in quantum hardware, these algorithms are still decades away from scalable realizations, because current hardware features noisy qubits.

From facial recognition security to unmanned vehicles, Alibaba’s corporate campus is the office of the future. CNBC’s Uptin Saiidi gets a rare look inside the company’s headquarters in Hangzhou, China, where more than 20,000 employees are based.

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Continue reading “We went inside Alibaba’s global headquarters | CNBC Reports” »

Check out the new shape-shifting robot made out of “smarticiles” that show a new locomotive strategies!! https://www.sciencedaily.com/releases/2019/09/190918140759.htm ~via ScienceDaily… #churchofperpetuallife #perpetuallife #sciencedaily

Building conventional robots typically requires carefully combining components like motors, batteries, actuators, body segments, legs and wheels. Now, researchers have taken a new approach, building a robot entirely from smaller robots known as “smarticles” to unlock the principles of a potentially new locomotion technique.

The 3D-printed smarticles — short for smart active particles — can do just one thing: flap their two arms. But when five of these smarticles are confined in a circle, they begin to nudge one another, forming a robophysical system known as a “supersmarticle” that can move by itself. Adding a light or sound sensor allows the supersmarticle to move in response to the stimulus — and even be controlled well enough to navigate a maze.

Though rudimentary now, the notion of making robots from smaller robots — and taking advantage of the group capabilities that arise by combining individuals — could provide mechanically based control over very small robots. Ultimately, the emergent behavior of the group could provide a new locomotion and control approach for small robots that could potentially change shapes.

Back in 2011 we looked at an array of small hexagonal plates created to serve as an electronic skin that endows robots with a sense of touch. The team responsible had placed 31 of these hexagonal “skin cells” on a small robot, but now they’ve gone a lot further, equipping a human-sized robot with 1,260 cells to create what they claim is the first autonomous humanoid robot with artificial skin covering its entire body – even the soles of its feet.

In the eight years since the original touchy-feely robot, Professor Gordon Cheng and his team at the Technical University of Munich (TUM) have refined the look of the individual sensor cells, but they still boast the same basic capabilities. They’re still hexagonal in shape, allowing them to be placed in a honeycomb arrangement, and they can still measure proximity, pressure, temperature and acceleration.

Continue reading “Sensitive synthetic skin makes for hug-safe humanoid robot” »

Sensitive synthetic skin enables robots to sense their own bodies and surroundings—a crucial capability if they are to be in close contact with people. Inspired by human skin, a team at the Technical University of Munich (TUM) has developed a system combining artificial skin with control algorithms and used it to create the first autonomous humanoid robot with full-body artificial skin.

The artificial skin developed by Prof. Gordon Cheng and his team consists of hexagonal cells about the size of a two-euro coin (i.e. about one inch in diameter). Each is equipped with a microprocessor and sensors to detect contact, acceleration, proximity and temperature. Such artificial skin enables robots to perceive their surroundings in much greater detail and with more sensitivity. This not only helps them to move safely. It also makes them safer when operating near people and gives them the ability to anticipate and actively avoid accidents.

Continue reading “Biologically-inspired skin improves robots’ sensory abilities” »

Researchers have found a way to marry human creativity and artificial intelligence (AI) creativity to dramatically boost the performance of deep learning.

A team led by Alexander Wong, a Canada Research Chair in the area of AI and a professor of systems design engineering at the University of Waterloo, developed a new type of compact family of neural networks that could run on smartphones, tablets, and other embedded and mobile devices.