A new wearable robotic arm turns users into a superhero by giving them an extra hand when doing tasks - and the chance to smash through walls. The waist-mounted hydraulic arm has three degrees of freedom, moves nine feet per second and can pick up objects weighing up to 11 pounds. The system itself weighs about the same as a human arm and is controlled using a smaller version of the robot operated by a second person standing nearby. Researchers have shown the technology can paint, wash windows, hand tools to a human worker and play badminton, along with smashing through a wall on a construction site. The robot was created by researchers at Université de Sherbrooke in Canada and is known as a'supernumerary robotic arm,' which is a wearable robot that provides a human with an additional limb, according to IEEE Spectrum.

US soldiers deployed in Syria are testing a new electronic rifle scope that won't allow a shot to be fired until an onboard targeting system can guarantee it will hit its target. Called SMASH 2000, the scopes use a Linux-based imaging system to calculate the most accurate bullet trajectory to a specific target, which soldiers first'mark' by aiming the scope and pressing a small button near the rifle grip. When the soldier is ready to fire, the system determines if their aim is true, and if the soldier's aim is off, the system won't allow the gun to fire even if the trigger is pulled. US troops in Syria are testing a new scope, called SMASH 2000, that won't allow soldier's to fire unless the targeting system believes the shot will hit its target In field testing at the US Army's al-Tanf base in Syria, near the country's southeastern borders with Jordan and Iraq, soldiers have used the SMASH 2000 scope to target small drone-mounted boxes as they move across the sky. The scopes have previously been used in the field by the Israel Defense Force, but according to manufacturer Smart Shooter Ltd., this marks the first time they've been used in Syria.

The Chinese painting style called Xieyi literally means "writing ideas," and marries the freehand techniques of calligraphy, line drawing and shading. Artists often use traditional Xuan rice paper along with organic brushes and ink, and the impressionistic style is designed not to be realistic, but rather capture the spirit of the subject. It would seem odd, then, to let a machine interpret such a human-oriented artistic style. But that's exactly what Hong Kong artist Victor Wong has done with a painting robot called A.I. Gemini (via Wallpaper). As a Xieyi artist with a background in physics, electrical engineering and VFX effects for cinema, Wong spent three years programming the industrial-style robot to paint in the Xieyi style.

Cold War concerns U.S. government agencies like the Defense Advanced Research Projects Agency (DARPA) fund AI research at universities such as MIT, hoping for machines that will translate Russian instantly. I'm afraid I can't do that." The winter lasts two decades, with just a few heat waves of progress. Common-sense AI Douglas Lenat sets out to construct an AI that can do common-sense reasoning. He develops it for 30 years before it is used commercially.

A team of researchers from Université de Sherbrooke in Canada have created a badass, waist-mounted hydraulic arm that's capable of smashing through walls, IEEE Spectrum reports. A video uploaded by the team shows the robotic arm in action. It can move heavy power tools, paint walls, pick vegetables -- and even Hulk smash through drywall. The robotic arm can be remote controlled by a miniaturized version of the arm operated by a second person standing nearby. The user will not have to carry the weight of the entire machinery on their back thanks to a tether that connects the arm to bulkier machinery nearby.

Most of the results above were actually first published in TU Munich's FKI Tech Report series, for which I drew many illustrations by hand, some of them shown in the present page (Sec. The FKI series now plays an important role in the history of Artificial Intelligence, as it introduced several important concepts: Unsupervised Pre-Training for Very Deep Learning (FKI-148-91 [UN0], Sec. In particular, the report FKI-126-90 [AC90] introduced a whole bunch of concepts that are now widely used: Planning with Recurrent World Models (Sec. Later remarkable FKI Tech Reports from the 1990s describe ways of greatly compressing NNs [KO0] [FM] to improve their generalisation capability.

Founded in the year of 1956, at a workshop held on the campus of Dartmouth College, Artificial Intelligence became an academic discipline due to the combined efforts of a handful of scientists including John Mcarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon. This group of avant-garde men coined the term and initiated the first discussion on the possibility of creating an artificial brain. This early research in the field of Artificial Intelligence was focused on exploring areas like problem-solving and symbolic methods. Moreover, it was only later, when the US Department of Defense took an interest in the technology that work began to train machines and computers to mimic human reasoning.

Dr. Albert Hsiao and his colleagues at the University of California-San Diego health system had been working for 18 months on an artificial intelligence program designed to help doctors identify pneumonia on a chest X-ray. When the coronavirus hit the United States, they decided to see what it could do. His team is one of several around the country that has pushed AI programs developed in a calmer time into the COVID-19 crisis to perform tasks like deciding which patients face the greatest risk of complications and which can be safely channeled into lower-intensity care. The machine-learning programs scroll through millions of pieces of data to detect patterns that may be hard for clinicians to discern. Yet few of the algorithms have been rigorously tested against standard procedures.

MIT engineers have designed a "brain-on-a-chip," smaller than a piece of confetti, that is made from tens of thousands of artificial brain synapses known as memristors -- silicon-based components that mimic the information-transmitting synapses in the human brain. The researchers borrowed from principles of metallurgy to fabricate each memristor from alloys of silver and copper, along with silicon. When they ran the chip through several visual tasks, the chip was able to "remember" stored images and reproduce them many times over, in versions that were crisper and cleaner compared with existing memristor designs made with unalloyed elements. Their results, published today in the journal Nature Nanotechnology, demonstrate a promising new memristor design for neuromorphic devices -- electronics that are based on a new type of circuit that processes information in a way that mimics the brain's neural architecture. Such brain-inspired circuits could be built into small, portable devices, and would carry out complex computational tasks that only today's supercomputers can handle.