Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
This issue aims to showcase how machine learning (ML) and Artificial Intelligence (AI) approaches can be used with real world data (RWD) sources to generate ...
Idbio has secured top results in two of NIST’s most significant evaluations, IREX 10 for iris recognition and PFT III for ...
Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...
Abstract: Reliable dielectric-property models are a prerequisite for credible forward electromagnetic simulation of microwave-based femoral-fracture monitoring systems. This paper presents a traceable ...
Abstract: Neural networks are often benchmarked using standard datasets such as MNIST, FashionMNIST, or other variants of MNIST, which, while accessible, are limited to generic classes such as digits ...
RSAC 2026 CONFERENCE — San Francisco — When people talk about transparency in cybersecurity, they are usually referring to organizations disclosing breaches and incidents. At RSAC Conference this week ...
A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care ...
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