Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy.

Another investigation compared traditional and machine learning approaches in the analysis of time-to-event data, using weight status and breast cancer incidence as a case study.

Chemists have created a machine learning tool that can identify the chemical composition of dried salt solutions from an image with 99% accuracy. By using robotics to prepare thousands of samples ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Machine learning is perfect for data analysis, pattern recognition, and prediction, all of which have significance for optimizing operations in industries such as banking, healthcare, and retail.

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Key Points Predictive analytics allows for proactive decision-making, as opposed to reacting when things go wrong. Utilizing ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Key Takeaways Innovative AI Solutions: 2025’s top data science startups are pioneering AI-driven tools to transform ...