We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

Lessons learned from implementing in AI at regulated medical device manufacturer, ResMed. This includes top 5 challenges and ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

How Do You Secure Non-Human Identities in a World of Evolving Cyber Threats? Non-Human Identities (NHIs) have become a focal point for security teams across various industries. These machine ...

As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...

Public safety and efficient urban planning remain pressing challenges in Nigeria. From congested cities to crime hotspots and disaster-prone areas caused mostly by floods, authorities often lack the ...

Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Although businesses are promoting their use of machine learning (ML) models to help customers and protect assets, are they succeeding in using them? “It was an interesting opportunity to reflect on ...