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NeuRRAM, a new chip that runs computations directly in memory and can run a wide variety of AI applications has been designed and built by an international team of researchers. What sets it apart is that it does this all at a fraction of the energy consumed by computing platforms for general-purpose AI computing.

The NeuRRAM neuromorphic chip brings AI a step closer to running on a broad range of edge devices, disconnected from the cloud. This means they can perform sophisticated cognitive tasks anywhere and anytime without relying on a network connection to a centralized server. Applications for this device abound in every corner of the globe and every facet of our lives. They range from smartwatches to VR headsets, smart earbuds, smart sensors in factories, and rovers for space exploration.

Not only is the NeuRRAM chip twice as energy efficient as the state-of-the-art “compute-in-memory” chips, an innovative class of hybrid chips that runs computations in memory, it also delivers results that are just as accurate as conventional digital chips. Conventional AI platforms are much bulkier and typically are constrained to using large data servers operating in the cloud.

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Our perception of our bodies is not always correct or realistic, as any athlete or fashion-conscious person knows, but it’s a crucial factor in how we behave in society. Your brain is continuously preparing for movement while you play ball or get dressed so that you can move your body without bumping, tripping, or falling.

Humans develop our body models as infants, and robots are starting to do the same. A team at Columbia Engineering revealed today that they have developed a robot that, for the first time, can learn a model of its whole body from scratch without any human aid. The researchers explain how their robot built a kinematic model of itself in a recent paper published in Science Robotics, and how it utilized that model to plan movements, accomplish objectives, and avoid obstacles in a range of scenarios. Even damage to its body was automatically detected and corrected.

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The world’s first portable brain computer interface (BCI) is being developed by Blackrock and University of Pittsburgh so patients can undergo research trials at home. Rapid Robotics releases fastest and easiest robotic arm setup in requiring no code at all. New AI using light performs 1,000x faster at classifying data.

AI News Timestamps:
0:00 First Portable Brain Computer Interface.
2:29 Rapid Robotics Fastest Robot Arm Setup.
5:03 New AI Using Light Is 1,000x Faster.

👉 Crypto AI News: https://www.youtube.com/c/CryptoAINews/videos.

#ai #robot #news

Continue reading “Rapid Robotics Fastest Robot Arm Setup” | >

Reaching the golden years doesn’t always feel so golden. Growing older introduces a range of health challenges, including being at increased risk for developing chronic diseases and having reduced immunity to infection. But while scientists have traditionally viewed the unpleasant aspects of aging as inevitable, new research could reveal how to substantially delay aging and improve the health of older individuals.

Chronic inflammation, one of the major hallmarks of aging, is thought to be partly caused by senescent cells that may accumulate in older individuals. Now, Yale researchers have received a grant [U54-AG079759] from the National Institutes of Health (NIH) Common Fund’s Cellular Senescence Network Program (SenNet) to study these specialized cells. The grant will further scientists’ knowledge of the mechanisms behind aging and potential therapies for dampening inflammation associated with old age. The SenNet is based on ‘Geroscience,’ an approach that intersects basic aging biology, chronic disease, and health to understand the cellular mechanisms that make aging a major risk factor for common chronic conditions of older people. Support by the NIH Common Fund shows the NIH’s commitment to Geroscience as a complex, high priority topic in biomedical research.

“A number of diseases that increase in older people may have a unifying underlying mechanism having to do with senescence,” says Ruth Montgomery, PhD, professor of medicine and of epidemiology (microbial diseases), and co-PI of the project. “If we are able to understand and address this, we may be able to reduce the incidence of a number of diseases, including cancers and heart diseases.”

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Nuclear power will be capable of generating 38.4 percent of Poland’s electric power needs by 2043, and should raise the country’s GDP by over 1 percent, a report by the Polish Institute of Economics (PIE) has forecast.

The report, titled “Economic aspects of nuclear investment in Poland — influence on business, the labor market and local communities,” also says that the nuclear energy program will generate 40,000 jobs over the next five decades.

According to the most optimistic scenario, 70 percent of the value of the investments in nuclear energy should be realized by Polish companies, and the total investment realized by them could reach close to $40 billion.

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A team of Chinese scientists report on a new method for entangling photons that they say could make quantum networks and quantum computing more practical, according to the South China Post.

In a study published in Nature Photonics, the team from the University of Science and Technology of China said that the new way to produce entangled photons is extremely efficient. The work was led by Jian-Wei Pan, one of the world’s leading quantum researcher from the Hefei National Research Center for Physical Sciences at the Microscale, the University of Science and Technology of China and CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China.

Entangled photons are needed for certain forms of quantum communication and computing. These technologies require the ability to efficiently produce large numbers of particles — in this case, photons — that can remain entangled even when separated by vast distances to process and protect information. Specifically, the technology could be used in quantum relays that are used in long-distance, attack-proof quantum communication, the newspaper reports.

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Alternate history has never been more entertaining than in the hit Apple TV+ series, “For All Mankind.” The science fiction television show is so popular that it was renewed for a fourth season even before Season 3 ended on August 12, 2022.

Unlike most science fiction, “For All Mankind” re-imagines the past instead of envisioning the future. Starting in the 1960s and running through the 1990s in Season 3, the series is built around the space race that began with the United States and the Soviet Union competing to reach the moon. But in the fantastical world created by “For All Mankind,” things turn out very differently. Here are five fictional realities showing how the series cleverly rewrites history.

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📝 The paper “3D Face Reconstruction with Dense Landmarks” is available here:
https://microsoft.github.io/DenseLandmarks/

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Continue reading “Microsoft’s New AI: Virtual Humans Became Real! 🤯” | >

Acoustic location was used from mid-WW1 to the early years of WW2 for the passive detection of aircraft by picking up the noise of the engines.

Passive acoustic location involves the detection of sound or vibration created by the object being detected, which is then analyzed to determine the location of the object in question.

“Imagine how techology we see as innovative today will look to people in the future”

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