A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

A Partnership Rooted in the Future The Hum a n i ty Suite is engineered to activate and integrate seamlessly within a client’s existing ecosystem, leveraging MERGE’s partnerships with platforms like ...

Predictive models that combine patient-reported psychosocial measures with clinical data perform well in forecasting flares in patients with inflammatory bowel disease.

Researchers at the Institute of Industrial Science, The University of Tokyo and George Mason University's College of Science ...

Hundreds of billions of dollars are riding on the assumption that artificial intelligence will be reliable enough for ...

Algorithms analyze vibration patterns, temperature anomalies and pressure fluctuation locally, triggering alerts before ...

Analyzing data and model constraints The industry standard for insurance analysis, modeling and product development centers ...

Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...

The techniques that have served marketers for over fifty years are evolving rapidly, driven by artificial intelligence, increasing market volatility and a fundamental shift in what we expect ...

Abstract: Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has ...