Lifeboat Foundation

WASHINGTON, D.C. — Today, the U.S. Department of Energy (DOE) announced $5.7 million for six projects that will implement artificial intelligence methods to accelerate scientific discovery in nuclear physics research. The projects aim to optimize the overall performance of complex accelerator and detector systems for nuclear physics using advanced computational methods.

“Artificial intelligence has the potential to shorten the timeline for experimental discovery in nuclear physics,” said Timothy Hallman, DOE Associate Director of Science for Nuclear Physics. “Particle accelerator facilities and nuclear physics instrumentation face a variety of technical challenges in simulations, control, data acquisition, and analysis that artificial intelligence holds promise to address.”

The six projects will be conducted by nuclear physics researchers at five DOE national laboratories and four universities. Projects will include the development of deep learning algorithms to identify a unique signal for a conjectured, very slow nuclear process known as neutrinoless double beta decay. This decay, if observed, would be at least ten thousand times more rare than the rarest known nuclear decay and could demonstrate how our universe became dominated by matter rather than antimatter. Supported efforts also include AI-driven detector design for the Electron-Ion Collider accelerator project under construction at Brookhaven National Laboratory that will probe the internal structure and forces of protons and neutrons that compose the atomic nucleus.

Novel theorem demonstrates convolutional neural networks can always be trained on quantum computers, overcoming threat of ‘barren plateaus’ in optimization problems.

Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. While a fundamental solvability problem known as “barren plateaus” has limited the application of these neural networks for large data sets, new research overcomes that Achilles heel with a rigorous proof that guarantees scalability.

“The way you construct a quantum neural network can lead to a barren plateau—or not,” said Marco Cerezo, coauthor of the paper titled “Absence of Barren Plateaus in Quantum Convolutional Neural Networks,” published recently by a Los Alamos National Laboratory team in Physical Review X. Cerezo is a physicist specializing in quantum computing 0, quantum machine learning, and quantum information at Los Alamos. “We proved the absence of barren plateaus for a special type of quantum neural network. Our work provides trainability guarantees for this architecture, meaning that one can generically train its parameters.”

But wait, should we believe it?

An artificial intelligence warning AI researchers about the dangers of AI sounds like the setup of a delightful B movie, but truth is often stranger than fiction.

A professor and a fellow at the University of Oxford came face to face with that reality when they invited an AI to participate in a debate at the Oxford Union on, you guessed it, the ethics of AI. Specifically, as Dr. Alex Connock and Professor Andrew Stephen explain in the Conversation, the prompt was “This house believes that AI will never be ethical.” The AI, it seems, agreed.

Continue reading “Reddit-trained artificial intelligence warns researchers about… itself” »

The company belatedly gets into the race to build bigger, better language models despite ethical concerns.

A team at Harvard has documented a new state of matter which could advance quantum technology.

Plus: DeepMind’s latest language model research and more.

The same Saildrones captured the first-ever video from inside a major hurricane from sea level in September.

Six autonomous Saildrones are taking off on a six-month journey to tackle some of Earth’s most challenging ocean conditions, in order to improve climate change and weather forecast computer models, reported CNN.

They will travel to the Gulf Stream throughout the winter months where they will collect data about the process by which oceans absorb carbon (carbon uptake). So far, the numbers on this type of activity have only been estimates produced by statistical methods that cannot, therefore, be relied upon.

Continue reading “Six Hurricane-Faring Autonomous Drones to Collect Data in Gulf Stream Region” »

Algorithms are now essential for making predictions, boosting efficiency, and optimizing in real-time.

What’s New: In its relentless pursuit of Moore’s Law, Intel is unveiling key packaging, transistor and quantum physics breakthroughs fundamental to advancing and accelerating computing well into the next decade. At IEEE International Electron Devices Meeting (IEDM) 2021, Intel outlined its path toward more than 10x interconnect density improvement in packaging with hybrid bonding, 30% to 50% area improvement in transistor scaling, major breakthroughs in new power and memory technologies, and new concepts in physics that may one day revolutionize computing.

“At Intel, the research and innovation necessary for advancing Moore’s Law never stops. Our Components Research Group is sharing key research breakthroughs at IEDM 2021 in bringing revolutionary process and packaging technologies to meet the insatiable demand for powerful computing that our industry and society depend on. This is the result of our best scientists’ and engineers’ tireless work. They continue to be at the forefront of innovations for continuing Moore’s Law.” –Robert Chau, Intel Senior Fellow and general manager of Components Research

Why It Matters: Moore’s Law has been tracking innovations in computing that meet the demands of every technology generation from mainframes to mobile phones. This evolution is continuing today as we move into a new era of computing with unlimited data and artificial intelligence.

https://www.youtube.com/watch?v=_Eh1w6guPC8&feature=share

✅ Instagram: https://www.instagram.com/pro_robots.

You are on the PRO Robots channel and in this form we present you with high-tech news. What can Google’s army of robots really do? Can time turn backwards? Catapult rockets and a jet engine powered by plastic waste. All this and much more in one edition of high-tech news! Watch the video until the end and write your impressions about the new army of robots from Google in the comments.

Continue reading “What can Google’s army of robots do?| Physicists have turned back time | High Tech News” »