Lifeboat Foundation

It could hardly be more complicated: tiny particles whir around wildly with extremely high energy, countless interactions occur in the tangled mess of quantum particles, and this results in a state of matter known as “quark-gluon plasma”. Immediately after the Big Bang, the entire universe was in this state; today it is produced by high-energy atomic nucleus collisions, for example at CERN.

Such processes can only be studied using high-performance computers and highly complex computer simulations whose results are difficult to evaluate. Therefore, using artificial intelligence or machine learning for this purpose seems like an obvious idea. Ordinary machine-learning algorithms, however, are not suitable for this task. The mathematical properties of particle physics require a very special structure of neural networks. At TU Wien (Vienna), it has now been shown how neural networks can be successfully used for these challenging tasks in particle physics.

By using hypernetworks, researchers can now preemptively fine-tune artificial neural networks, saving some of the time and expense of training.

Aboard the International Space Station, NASA Expedition 66 Flight Engineers Mark Vande Hei and Kayla Barron of NASA answered pre-recorded questions about life and work as astronauts on the orbital laboratory during an in-flight event Jan. 24 with students attending the Center for Early Childhood Education in Hollywood, California. Vande Hei and Barron are in the midst of long duration missions living and working aboard the microgravity laboratory to advance scientific knowledge and demonstrate new technologies for future human and robotic exploration missions as part of NASA’s Moon and Mars exploration approach, including lunar missions through NASA’s Artemis program.

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A Facebook robot that wraps fiber-optic cable around existing power lines could help bridge the digital divide by bringing internet access to some of the billions of people who currently lack it.

Why it matters: The 60% of the world population with internet access has social, economic, financial, and educational advantages over the other 40%, most of whom live in developing nations or rural areas.

The cost of expanding internet networks is a major barrier to bringing internet access to those people — if the Facebook robot can cut that cost, it could help close this “digital divide” and make the world a more equitable place.

Researchers from Korea’s one of the best science and technology universities, KAIST’s Department of Bio and Brain Engineering, have developed a new artificial intelligence-powered light field camera that can read 3D facial expressions.

The highly capable camera uses a technique that uses infrared light to read facial expressions. Professors Ki-Hun Jeong and Doheon Lee led the research team which developed this artificial intelligence-enabled technology.

The newly developed light-field camera comes with micro-lens arrays in front of the image sensor, allowing it to capture the spatial and directional information of light in a single shot, making it tiny enough to fit into a smartphone.

Meta says it wants to build the most powerful artificial intelligence supercomputer in the world.

The Facebook owner has already designed and built what it calls the AI Research SuperCluster, or RSC, which it says is among the fastest AI supercomputers in the world.

It hopes to top that league by mid-2022, it said, in what would be a major step towards increasing its artificial intelligence capabilities.

The latest entry in the Coral range of low-power edge AI development boards is also Google’s first microcontroller board — “coming soon.”

Has the first phase of a new AI. Once the AI Research SuperCluster (RSC) is fully built out later this year, the company believes it will be the fastest AI supercomputer on the planet, capable of “performing at nearly 5 exaflops of mixed precision compute.”

The company says RSC will help researchers develop better AI models that can learn from trillions of examples. Among other things, the models will be able to build better augmented reality tools and “seamlessly analyze text, images and video together,” according to Meta. Much of this work is in service of its vision for the metaverse, in which it says AI-powered apps and products will have a key role.

“We hope RSC will help us build entirely new AI systems that can, for example, power real-time voice translations to large groups of people, each speaking a different language, so they can seamlessly collaborate on a research project or play an AR game together,” technical program manager Kevin Lee and software engineer Shubho Sengupta wrote.

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