As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

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

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

Principle: Trust is built on traceability. Government must be able to explain every digital action. Agentic systems should ...

Instead ChatGPT has become perhaps the most successful consumer product in history. In just over three years it has ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.

Amazon's huge voice assistant upgrade is conversational, connected and well-suited for Prime users. I enjoy it, but still ...

Last year’s chemistry Nobel prize was awarded to researchers using AI to study proteins in entirely new ways, and in 2025 ...