MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

The social media platform has taken a step towards transparency amid ongoing battles over platform spam and non-consensual AI ...

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

ACM, the Association for Computing Machinery, has named 71 new Fellows. ACM Fellows are registered members of the society and were selected by their peers for achieving remarkable results through ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet ...

Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...

While AI promises to boost productivity, many organizations struggle to realize its benefits. The secret lies in fostering ...

In a market accelerating toward instant payments and open banking, a siloed approach to fraud detection is no longer viable.

In just three months, Phlow and Enveda generated and analyzed nearly 20,000 unique reactions, creating one of the largest high-quality datasets of its kind. The resulting uniform dataset is ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...