Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

BENGALURU: Artificial Intelligence has helped scientists unlock a century of the Sun’s history by analysing hand-drawn ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Abstract: Machine learning (ML) based forecasting mechanisms have proved their significance to anticipate in perioperative outcomes to improve the decision making on the future course of actions. The ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Abstract: Smart devices employing interconnected sensors for feedback and control are being rapidly adopted. Many useful applications for these devices are in markets that demand cost-conscious ...

This repo contains the JAX implementation of our ICLR 2024 paper, Neural Spectral Methods: Self-supervised learning in the spectral domain. Yiheng Du, Nithin ...

A Chinese quantitative trading fund has submitted a research paper to one of the world’s top artificial intelligence (AI) conferences, detailing a new training technique that it said could outperform ...

Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional ...