Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Unit-free theorem pinpoints key variables for AI and physics models

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Large Language Models Get All the Hype, but Small Models Do the Real Work

For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that are winning the day.
Nature

This ‘impressive’ AI model predicted Hurricane Melissa’s perilous growth

Compared with other hurricane models used by the NHC, the DeepMind model is “definitely toward the front of the pack if not ...
Frontiers

Advancing Computational Material Science and Mechanics through Integrated Deep Learning Models

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
eLife

Critique of impure reason: Unveiling the reasoning behaviour of medical large language models

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
Semiconductor Engineering

Multimodal LLM Assistant for Chip Physical Design (National Taiwan Univ., UCLA, NVIDIA)

A new technical paper titled “Multimodal Chip Physical Design Engineer Assistant” was published by researchers at National ...
Frontiers

Precision neurocircuitry: emerging tools to map, modulate, and model behavior

Unravelling how neural circuits generate complex behaviours remains one of the most compelling challenges in neuroscience. This endeavor requires tools that ...
HealthDay on MSN

AAO: Machine Learning Outperforms Human Graders for Diagnosing Glaucoma

HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of Ophthalmology, held from Oct.