Machine learning and physics merge to enhance liquid-gas phase transition predictions
Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that ...
OpenAI’s ‘Deep Research’ Gives Students a Whole New Way to Cheat on Papers
OpenAI's new Deep Research for ChatGPT is made to create research papers, though Google Gemini 2.0 has a very similar feature ...
Science Daily8d
Research aims to standardize rock climbing route difficulty through machine learning techniques
Researchers have explored how integrating machine and deep learning techniques can create a standardized system for evaluating rock climbing routes to provide a difficulty grading scale that promotes ...
A step-by-step tutorial for applying machine learning to drug resistance
Antimicrobial resistance is a growing health crisis that could lead to millions of deaths by 2050, according to the World ...
Phys.org on MSN13d
Machine learning approach can enhance observatory's hunt for gravitational waves
The UCR researchers presented a paper at a recent IEEE big-data workshop, demonstrating a new, unsupervised machine learning ...
Interesting Engineering on MSN4d
Meet ELEGNT: Apple’s new robot lamp that can dance and play with you
Apple's new smart lamp, ELEGNT, is set to revolutionize home robotics. Watch it dance and discover how it can express ...
Tech Xplore on MSN9h
Dual-domain architecture shows almost 40 times higher energy efficiency for running neural networks
Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...
MacWorld on MSN1d
Apple research video offers a glimpse into its tabletop robot tech
Macworld Apple does a lot of research into fundamental computer problems, and some of that results in real features of the products we buy. We can only hope the tech featured in the latest report ...
Phys.org on MSN19d
Strong as steel, light as foam: Machine learning and nano-3D printing produce breakthrough high-performance, nano-architected materials
In a new paper published in Advanced ... which supports doctoral training through research engagement with international collaborators. The KAIST team employed the multi-objective Bayesian ...