GitHub and Microsoft, GitHub's corporate parent, are joining the steering committee for MCP, Anthropic’s standard for ...

AI neural networks fail to predict unprecedented weather events unless such events have precedent in their training data.

It can be faster, easier, cheaper, more representative, and more privacy preserving to generate data than to collect it. But ...

This contrast highlights a pattern in AI behavior: While developers work to eliminate racism and political bias, models still ...

One month of web browsing data shows most respondents visited a search page with an AI-generated summary, but visits to ...

Scientists found that neural networks cannot yet forecast 'gray swan' weather events, which might not appear in existing training data but could still happen -- like 200-year floods or massive ...

In an era of digital transformation, public welfare systems across the globe are undergoing significant evolution.

While many DCaaS initiatives are cloud-focused, Dell Apex offers an alternative: a consumption-based model using on-premises ...

The integration of AI into software-as-a-service (SaaS) is no longer a futuristic idea—it's a competitive necessity. As ...

At the center of this package is the most comprehensive look yet at AI’s growing power demand, if I do say so myself. This data-heavy story is the result of over six months of reporting by me and my ...

NTT DATA has deployed hundreds of Smart AI Agent instances in support of sophisticated processes and decision-making at ...

For organizations training AI models, access to sufficient volumes of high-quality data is quickly becoming a serious challenge. Privacy and regulatory compliance are among the biggest issues, with ...