Rumman Chowdhury said even where responsible AI teams survive leadership changes, their effectiveness depends on where they sit within an organisation — a question she said is rarely discussed.| India ...

AIテクノロジーの発達はさまざまな科学研究を前進させると期待されていますが、サイバー犯罪や兵器開発などにAIが悪用される危険性も懸念されています。そこでオックスフォード大学やスタンフォード大学、コロンビア大学、ジョンズ・ホプキンズ大学、ニューヨーク大 ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Mark Zuckerberg’s court testimony that companies should build “useful” products has reignited debate on morality of algorithms ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer.

これが生成エンジン最適化（GEO）の時代であり、この変化はデジタル行動のあらゆる側面に影響を及ぼす。生成エンジン、すなわち「回答エンジン」は、オンラインでブランドや製品を発見する方法を変えるだけにとどまらず、それらに対する感情を決定する上でも大きな役割を果たす可能性がある。ブランドエクイティは、人間中心の社会的構成概念から 社会アルゴリズム的なものへと移行 ...

This special theme issue of NEJM Catalyst Innovations in Care Delivery, guest edited by Sara Murray, MD, MAS, includes articles, case studies, and research reports on the impacts of AI on clinical ...

A University of Michigan team has reported that a novel artificial intelligence model interpreted brain magnetic resonance ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...