Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of structured, siloed, and confidential data.

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

Another machine unlearning method recently was developed specifically for AI-generated voices. Jong Hwan Ko, an associate ...

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...

Hybrid human–AI models emerge as the most viable approach. In such systems, AI handles low-risk, high-frequency tasks such as ...

Anthropic's Super Bowl ad makes fun of ads on ChatGPT and OpenAI CEO Sam Altman is not amused. The post The latest AI-powered ...

A tiny piece of junk may be harmless on Earth, but even the slightest impact from such debris hurtling through space at high speed can prove fatal for a spacecraft. There are more than a million such ...

Nathan Sanders, a research affiliate at the Berkman Klein Center for Internet & Society at Harvard University, discusses his ...

The global Electronic Discovery Software market achieved a valuation of USD 5.2 billion and is projected to reach USD 10.1 billion by 2033. This expansion reflects a strong compound annual growth rate ...