A new technical paper titled “Deep-learning atomistic semi-empirical pseudopotential model for nanomaterials” was published ...

Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

AI therapeutics company built on causal biology, today announced the publication of research in Nature Communications validating its POSH (Pooled Optical Screening in Human cells) platform. The study ...

Abstract: The prediction of loan defaults is crucial for banks and financial institutions due to its impact on earnings, and it also plays a significant role in shaping credit scores. This task is a ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

In this interview, Dan Schieffer, Scientific Director at DeNovix, discusses how customer demand inspired the development of specialized CellDrop applications for hepatocytes and organoids. Could you ...

Health systems and medical practices are increasingly turning to ambient AI technology to help with burdensome medical documentation. This shift is propelling Abridge's rapid growth. The ...

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School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Eonyang-eup, Ulju-gun, Ulsan 44919, Republic of Korea Graduate School of Carbon Neutrality, ...

Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...