One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

Every year, thousands of new materials are created, yet many never reach their full potential because their applications aren't immediately obvious—a challenge University of Toronto researchers aim to ...

What is CMOS 2.0? At its core, CMOS 2.0 is an effort to move beyond the limitations of a single monolithic die. Rather than ...

Despite the AI hype, tools are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

Library for efficient training and application of Machine Learning Interatomic Potentials (MLIP) - instadeepai/mlip ...

CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

This work shows a systematic review of literature of machine learning and audio processing for applications in preventive maintenance. It intends to prove how audio signal processing combined with ...

ThatWare LLP is a Kolkata-based digital consultancy using AI, data science, and psychology to drive smart SEO and authentic brand growth.

Machine Learning (ML) applications need large quantities of data spanning the complete Printed Circuit Board (PCB) design space. This design space needs to be reduced to the subset of relevant PCB ...