Category Physics

A “Chemical ChatGPT” for New Medications

Three-dimensional structures of two target proteins,
Three-dimensional structures of two target proteins, – histone deacetylase 6 (blue) and tyrosine-protein kinase JAK2 (red), together with a selective inhibitor of each enzyme. The dual inhibitor in the center is active against both targets. The prediction of compounds with predefined dual-target activity is the task of the chemical language model.© Figure: Sanjana Srinivasan & Jürgen Bajorath

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model — a kind of ChatGPT for molecules. Following a training phase, the AI was able to exactly reproduce the chemical structures of compounds with known dual-target activity that may be particularly effective medications...

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DeepMind Researchers find LLMs can Serve as Effective Mediators

DeepMind researchers find LLMs can serve as effective mediators
The Habermas Machine generates high-quality group opinion statements that are preferred to human-written group statements, and critiquing provides further improvements. Credit: Science (2024). DOI: 10.1126/science.adq2852

A team of AI researchers with Google’s DeepMind London group has found that certain large language models (LLMs) can serve as effective mediators between groups of people with differing viewpoints regarding a given topic. The work is published in the journal Science.

Over the past several decades, political divides have become common in many countries—most have been labeled as either liberal or conservative...

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Adaptive Ferroelectric Materials show Promise for Energy-Efficient Supercomputing

Artistic rendering showing light pulses striking a computer chip.
Artistic rendering representing light pulses yielding adaptive transformations in nanodomain structures applicable to neuromorphic computing. (Image by Argonne National Laboratory/Haidan Wen and Ellen Weiss.)

Researchers have revealed an adaptive response with a ferroelectric device, which responds to light pulses in a way that resembles the plasticity of neural networks. This behavior could find application in energy-efficient microelectronics.

“Today’s supercomputers and data centers demand many megawatts of power,” said Haidan Wen, a physicist at the U.S. Department of Energy (DOE) Argonne National Laboratory. “One challenge is to find materials for more energy-efficient microelectronics...

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Researchers Develop System Cat’s Eye-Inspired Vision for Autonomous Robotics

Optical simulation of the characteristics of the feline eye–inspired vision system

Feline-inspired vision technology enhances accuracy in challenging environments, paving the way for smarter, more efficient autonomous systems

Researchers have unveiled a vision system inspired by feline eyes to enhance object detection in various lighting conditions. Featuring a unique shape and reflective surface, the system reduces glare in bright environments and boosts sensitivity in low-light scenarios. By filtering unnecessary details, this technology significantly improves the performance of single-lens cameras, representing a notable advancement in robotic vision capabilities.

Autonomous systems like drones, self-driving cars, and robots are becoming more common in our daily lives...

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