Whistleblowers told BBC that Meta and TikTok and Meta prioritised user engagement over safety, allowing harmful content on their platforms. The algorithm race led to increased harassment and ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

In 2026, the “one-size-fits-all” approach to digital gambling is obsolete. AI algorithms now analyze vast datasets in ...

Automated trading is no longer a niche segment of the market. It has become a defining force in modern investing. Skywinex views this shift not as a short-term trend, but as a long-term evolution of ...

While beating an AI at a board game may seem relatively trivial, it can help us identify failure modes of the AI, or ways in which we can improve their training to avoid having them develop these ...

DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared ...

The rush to embrace generative AI is damaging the games industry's reputation, and obscuring the genuinely useful applications of machine learning. We need to t ...

When monitoring cough, both subjective and objective measures are needed, but use of objective cough counting tools is lacking in clinical practice, according to a scoping review published in Lancet ...

Now that we know the definitions of both terms, we can summarize that machine learning algorithms are sets of instructions that allow machines to learn data patterns with which to make predictions or ...

The integration of wearable biosensors with artificial intelligence and digital health platforms may further expand their capabilities. Future systems could analyze physiological signals in real time, ...