A researcher with expertise in cybersecurity, Vishwadeep Saxena explores the transformative impact of machine learning (ML) ...

In this digital era, machine learning transforms cardiovascular disease (CVD) management by enhancing prediction accuracy, ...

A research group has developed an improved workflow for constructing machine learning (ML) models in oligonucleotide ...

The integration of ML-driven cybersecurity frameworks into financial institutions is an ongoing process, requiring continuous ...

Researchers have developed the Automatic Process Explorer (APE), an approach that enhances our understanding of atomic and molecular processes. By dynamically refining simulations, APE has uncovered ...

Manojava Bharadwaj Bhagavathula's innovative security framework has set a new standard for intelligent and accessible ...

The machine learning-based cheminformatics approach Ray's team developed has screened more than 10 million compounds for potential new repellents and insecticides. Using this approach, Ray and his ...

In a rapidly evolving technological landscape, Rio Tinto, a global leader in the mining and metals sector, is setting new ...

Researchers at the Fritz Haber Institute have developed the Automatic Process Explorer (APE), an approach that enhances our ...

As healthcare increasingly relies on automated claims processing, fraud detection becomes crucial. Venkata Sambasivarao Kopparapu, an expert in AI-driven fraud prevention, explores advanced machine ...

The advent of the era in terms of machine learning in crypto trading is the new major in data-driven decision making process as algorithms are searching for accuracy along with risk management.

In this digital world, the rapid advancement of semiconductor technologies has brought new challenges in design verification.