Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the hiring process.Designing end-to-end ...

Image courtesy by QUE.com The University of North Texas (UNT) is stepping into the future with a new undergraduate major in ...

画像生成AIのFLUXシリーズで知られるBlack Forest Labsが、生成AIをトレーニングするための新たなアプローチ「Self-Supervised Flow Matching(Self-Flow)」を発表しました。Self-Flowは生成モデルを自己教師あり学習で効率的にトレーニングするための仕組みで、学習効率の大幅な向上や画像生成時のテキスト描画の向上などを実現しています。

The University of North Texas (UNT) is stepping into the future with a new undergraduate major in Artificial Intelligence (AI), ...

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...

2026年2月20日、東京科学大学情報理工学院の岡崎研究室と横田研究室、国立研究開発法人産業技術総合研究所(産総研：AIST)の研究チームが、OpenAI GPT-OSSの日本語能力と思考力を強化した推論型大規模言語モデルの「GPT-OSS ...

The prevalence of waterpipe smoking (WPS) is increasingly recognised as a growing global public health concern. Available studies show that WPS exposes users to toxicants at levels similar to or ...

Objectives Studies on ageing trajectories typically foreground intrinsic capacities and focus on frailty and mortality outcomes. Instead, research capturing aspects of people’s living environment ...