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

A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

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

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

AVEVA is launching several new market-leading AI tools within its Unified Engineering product to customers which will include ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

BigHat Biosciences, a protein therapeutics company that combines state-of-the-art AI models with a high-speed automated wet lab, today announced a collaboration with Eli Lilly and Company (Lilly) ...

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...