Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

Health systems evaluating AI must look beyond datasets and algorithms to understand the assumptions and priorities embedded within the applications themselves.

Artificial intelligence (AI) developed its reputation for efficiency and predictability through systematic decision making procedures. However, disruptors are rising to contest the basic algorithms ...

Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

Whether or not humans are ready, AI predictions are quietly set to become part of end-of-life medical decisions. Could an artificial intelligence algorithm used for end-of-life care decisions predict ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...

The feature, called "Dear Algo," lets Threads users personalize what content they see by publicly posting an AI prompt.

WebFX reports that mastering AI prompting is essential for effective use of LLMs, highlighting the importance of creativity, ...

By leaning into AI advancements, these businesses are positioning themselves for future success.