Lifeboat Foundation

Every clear night for the last three weeks, Bob Stephens has pointed his home telescope at the same two stars in hopes of witnessing one of the most violent events in the universe—a nova explosion a hundred thousand times brighter than the sun.

The eruption, which scientists say could happen any day now, has excited the interest of major observatories worldwide, and it promises to advance our understanding of turbulent binary star systems.

Yet for all the high-tech observational power that NASA and other scientific institutions can muster, astrophysicists are relying on countless amateur astronomers like Stephens to spot the explosion first.

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Consciousness creep.

Our machines could become self-aware without our knowing it.

Our machines could become self-aware without our knowing it. We need a better way to define and test for consciousness.

KAN 2.0: Kolmogorov-Arnold Networks Meet Science.

Ziming Liu, Pingchuan Ma, Yixuan Wang, Wojciech Matusik, Max Tegmark MIT 2024.

Artificial Intelligence (AI) and science are two powerful forces that seem, on the surface, to be at odds with each other.

Continue reading “KindXiaoming/pykan: Kolmogorov Arnold Networks” »

IIT reveals advances in the world’s first jet-powered humanoid robot, showcasing its experimental area and early validation efforts.

In the search for new particles and forces in nature, physicists are on the hunt for behaviors within atoms and molecules that are forbidden by the tried-and-true Standard Model of particle physics. Any deviations from this model could indicate what physicists affectionately refer to as “new physics.”

Caltech assistant professor of physics Nick Hutzler and his group are in pursuit of specific kinds of deviations that would help solve the mystery of why there is so much matter in our universe. When our universe was born about 14 billion years ago, matter and its partner, antimatter, are believed to have existed in equal measure.

Typically, matter and antimatter cancel each other out, but some kind of asymmetry existed between the different types of particles to cause matter to win out over antimatter. Hutzler’s group uses tabletop experiments to look for symmetry violations—the deviant particle behaviors that led to our lopsided matter-dominated universe.

Summary: A new machine learning model, AutMedAI, can predict autism in children under two with nearly 80% accuracy, offering a promising tool for early detection and intervention.

The model analyzes 28 parameters available before 24 months, such as age of first smile and eating difficulties, to identify children likely to have autism. Early diagnosis is crucial for optimal development, and further validation of the model is underway.

Information and Energy are related. The Second Law of Thermodynamics applies to changes in energy and heat, but it does not apply to information dynamics. Advances in Infodynamics have made it clear that Total Information contains Useful Information…

Scientists from the National University of Singapore (NUS) have shown that excitonic resonances and transitions between excitons can significantly increase the efficiency of generating entangled photon pairs. This could lead to the development of efficient ultrathin quantum light sources.