Lifeboat Foundation

Her startup, World Labs, is giving machines 3D spatial intelligence.

Undoing pervasive misconceptions about Bergson’s philosophy (I’m looking at you Bertrand Russell)

Here the authors report PICNIC (Proteins Involved in CoNdensates In Cells), a machine learning algorithm that predicts approximately 40–60% of proteins form condensates in various organisms, showing no clear relationship with the complexity of the organism or the content of disordered proteins.

Google’s new quantum computing chip, Willow, has set a groundbreaking standard by achieving unparalleled speed and precision, outperforming supercomputers in specific tasks by millions of times. This revolutionary chip enhances quantum error correction, making scalable quantum systems a reality and unlocking new possibilities for artificial intelligence, scientific research, and real-world problem-solving. Willow’s success marks a major milestone in the integration of quantum computing and AI, driving innovation across industries.

Don’t let AI leave you behind — get updates at https://airevolution.cc.

Continue reading “Google’s New Quantum Chip SHOCKED THE WORLD — 10 Million Times More Powerful!” »

The preprint, not yet peer-reviewed, is the latest from a global consortium that hunts down potential new genes. Ever since the Human Genome Project completed its first draft at the turn of the century, scientists have tried to decipher the genetic book of life. Buried within the four genetic letters—A, T, C, and G—and the proteins they encode is a wealth of information that could help tackle our most frustrating medical foes, such as cancer.

The Human Genome Project’s initial findings came as a surprise. Scientists found less than 30,000 genes that build our bodies and keep them running—roughly a third of that previously predicted. Now, roughly 20 years later, as the technologies that sequence our DNA or map proteins have become increasingly sophisticated, scientists are asking: “What have we missed?”

The new study filled the gap by digging into relatively unexplored portions of the genome. Called “non-coding,” these parts haven’t yet been linked to any proteins. Combining several existing datasets, the team zeroed in on thousands of potential new genes that make roughly 3,000 miniproteins.

Researchers suggest an application to FDA may be made within the next 12 months, requesting approval to carry out a human clinical trial with the gene therapy.

Tiny implantable sensors are helping University of Oregon researchers optimize the process of recovery from severe bone injuries.

Scientists at the UO’s Phil and Penny Knight Campus for Accelerating Scientific Impact have developed miniature implantable sensors that transmit real-time data about what’s happening at an injury site. In a new study, they use the technology to show that a resistance-training rehabilitation program can significantly improve femur injuries in rats in just eight weeks.

The sensors provide a window into the mechanical properties of the bone, giving scientists detailed ongoing data about the process of healing. If someday applied in humans, these sensors could allow doctors to better tailor a rehabilitation program to an individual patient, monitoring their progress and adjusting the exercises along the way.

A new hypothesis suggests that the very fabric of space-time may act as a dynamic reservoir for quantum information, which, if it holds, would address the long-standing Black Hole Information Paradox and potentially reshape our understanding of quantum gravity, according to a research team including scientists from pioneering quantum computing firm, Terra Quantum and Leiden University.

Published in Entropy, the Quantum Memory Matrix (QMM) hypothesis offers a mathematical framework to reconcile quantum mechanics and general relativity while preserving the fundamental principle of information conservation.

The study proposes that space-time, quantized at the Planck scale — a realm where the physics of quantum mechanics and general relativity converge — stores information from quantum interactions in “quantum imprints.” These imprints encode details of quantum states and their evolution, potentially enabling information retrieval during black hole evaporation through mechanisms like Hawking radiation. This directly addresses the Black Hole Information Paradox, which highlights the conflict between quantum mechanics — suggesting information cannot be destroyed — and classical black hole descriptions, where information appears to vanish once the black hole evaporates.

Summary

In this Machine Learning project, we develop a hypo Thyroid Disease detection using the Decision Tree and KNN Classifier. We hope you have learned something new from this project.