Lifeboat Foundation

Researchers explore an intriguing phenomenon in quantum systems, drawing inspiration from a recent quantum computing experiment.

Earlier this year, researchers at the Flatiron Institute’s Center for Computational Quantum Physics (CCQ) announced that they had successfully used a classical computer and sophisticated mathematical models to thoroughly outperform a quantum computer on a task that some thought only quantum computers could solve.

NASA reconnected with Voyager 1 after a fault protection system prompted the spacecraft to turn off a transmitter.

Engineers at JPL are investigating the incident, facing the challenge of managing commands and data over a 15 billion-mile distance. The team aims to stabilize communications and address the technical difficulties of the aging spacecraft in interstellar space.

Reestablishing Contact With Voyager 1

AI take over of education is now underway. In full swing by early 2030s.

A new study shows that even today’s most advanced AI vision-language models can’t compare with human comprehension capabilities.

Google is doubling down on AI internally to make its business more efficient.

MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts.

Rachel S.Y.

Implementation for Contribute to rachtsy/MomentumSMoE development by creating an account on GitHub.

A way to re grow new parts, perfect DNA match, eventually? Will take Agi / ASI to realize full potential, we ll see.

For this, the researchers have created a compact bioprinter to develop biological tissues with microfilament structures. He is now working to bring this technology to market.

Continue reading “3D laser bioprinter designed for precise human tissue engineering” »

Scientists have developed a new material: an ultra-thin film that can absorb over 99% of electromagnetic waves.

The Korea Institute of Materials Science (KIMS) states it to be the “world’s first ultra-thin film composite material capable of absorbing over 99% of electromagnetic waves.”

Continue reading “‘World-1st’ ultra-thin film absorbs over 99% of electromagnetic waves” »

Thanks to an algorithm created by an Idaho State University professor, the way engineers, doctors, and physicists tackle the hard questions in their respective fields could all change.

Emanuele Zappala, an assistant professor of mathematics at ISU, and his colleagues at Yale have developed the Attentional Neural Integral Equations algorithm, or ANIE for short. Their work was recently published in Nature Machine Intelligence and describes how ANIE can model large, complex systems using data alone.

“Natural phenomena–everything from plasma physics to how viruses spread–are all governed by equations which we do not fully understand,” explains Zappala. “One of the main complexities lies in long-distance relations between different data points in the systems over space and time. What ANIE does is it allows us to learn these complex systems using just those known data points.”