Lifeboat Foundation

From MIT KAN Kolmogorov-Arnold Networks.

From MIT

https://huggingface.co/papers/2404.

Continue reading “KAN: Kolmogorov-Arnold Networks” »

California has hit record-breaking milestones in renewable electricity generation, showing that wind, water and solar are ready to cover our electricity needs.

By Mark Z. Jacobson

Something spectacular is happening in the Golden State. California—the fifth-largest economy in the world—has experienced a record-breaking string of days in which the combined generation of wind, geothermal, hydroelectric and solar electricity has exceeded demand on the main electricity grid for anywhere from 15 minutes to 9.25 hours per day. These clean, renewable electricity sources are collectively known as wind-water-solar (WWS) sources.

A smartphone shutting down on a sweltering day is an all-too-common annoyance that may accompany a trip to the beach on a sunny afternoon. Electronic memory within these devices isn’t built to handle extreme heat.

As temperatures climb, the electrons that store data become unstable and begin to escape, leading to device failure and loss of information. But what if gadgets could withstand not just a hot summer day but the searing conditions of a jet engine or the harsh surface of Venus?

In a paper published in the journal Nature Electronics, Deep Jariwala and Roy Olsson of the University of Pennsylvania and their teams at the School of Engineering and Applied Science demonstrated memory technology capable of enduring temperatures as high as 600° Celsius—more than twice the tolerance of any commercial drives on the market—and these characteristics were maintained for more than 60 hours, indicating exceptional stability and reliability.

For the first time, an AI fighter pilot faced off against a human pilot in a “dogfight” using actual jets in the air — a huge milestone in autonomous flight and military automation.

“The X-62A team demonstrated that cutting-edge machine learning-based autonomy could be safely used to fly dynamic combat maneuvers,” said Frank Kendall, secretary of the Air Force. “The team accomplished this while complying with American norms for safe and ethical use of autonomous technology.”

Continue reading “Watch the first AI vs. human dogfight using military jets” »

Now Princeton researchers have sparked new life into static. Using millions of hours of computational time to run detailed simulations, the researchers found a way to describe static charge atom-by-atom with the mathematics of heat and work. Their paper appeared in Nature Communications on March 23.

The study looked specifically at how charge moves between materials that do not allow the free flow of electrons, called insulating materials, such as vinyl and acrylic. The researchers said there is no established view on what mechanisms drive these jolts, despite the ubiquity of static: the crackle and pop of clothes pulled from a dryer, packing peanuts that cling to a box.

“We know it’s not electrons,” said Mike Webb, assistant professor of chemical and biological engineering, who led the study. “What is it?”

Tesla Megapack has been selected to power a massive new record-breaking 13 GWh battery system from Neoen in Australia.

This project is the second stage of the Collie Battery project, which is named after a town in Western Australia where the project is located.

As we previously reported, France’s Neoen is already building the first stage with Tesla Megapack 2XLs.

Theoretical physicists employ their imaginations and their deep understanding of mathematics to decipher the underlying laws of the universe that govern particles, forces and everything in between. More and more often, theorists are doing that work with the help of machine learning.

As might be expected, the group of theorists using machine learning includes people classified as “computational” theorists. But it also includes “formal” theorists, the people interested in the self-consistency of theoretical frameworks, like string theory or quantum gravity. And it includes “phenomenologists,” the theorists who sit next to experimentalists, hypothesizing about new particles or interactions that could be tested by experiments; analyzing the data the experiments collect; and using results to construct new models and dream up how to test them experimentally.

In all areas of theory, machine-learning algorithms are speeding up processes, performing previously impossible calculations, and even causing theorists to rethink the way theoretical physics research is done.

https://huggingface.co/papers/2404.

We extend the context length of Llama-3-8B-Instruct from 8K to 80K via QLoRA fine-tuning.

Join the discussion on this paper page.

From the brain to the bowels, a division of labor between resident tissue lmacrophages keeps organs healthy.

Learn more in a new Science Immunology Review: #DayOfImmunology