Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Many technical recruiters and IT hiring managers advise that certifications carry more value for entry-level and low-level IT pros than they do for workers with more experience. The obvious exceptions ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Abstract: The rapid increase in cyber threats has heightened the demand for Intrusion Detection Systems (IDS) that are both accurate and efficient. While deep learning models outperform traditional ...

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

The company was inspired by old paper dolls, where pants, shirts, jackets and other items can be moved around. In this case, ...

A new soil-moisture retrieval strategy has improved the accuracy of satellite-based moisture mapping by combining microwave reflection signals with vegetation-structure information that conventional ...

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

1 Department of Computer Science and Engineering, The People’s University of Bangladesh, Dhaka, Bangladesh. 2 Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, ...

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.