Artificial intelligence is making progress in the medical arena. When it comes to imaging techniques and the calculation of health risks, there is a plethora of AI methods in development and testing ...

Machines can learn not only to make predictions, but also to handle causal relationships. An international research team shows how this could make therapies safer, more efficient, and more ...

June 21, 2026) - Aether AI, a frontier artificial intelligence company building Causal World Models, today announced the ...

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There is a missing ingredient in today’s artificial intelligence, which, when added, will make AI a truly indispensable partner in business and increase return on investment over the long haul. The ...

Potential treatments for amyotrophic lateral sclerosis (ALS) and other neurodegenerative diseases may already be out there in the form of drugs prescribed for other conditions. A team of researchers ...

Inferring causal relationships from observational data is a key challenge in understanding the interpretability of Machine Learning models. Given the ever-increasing amount of observational data ...

Comparison of raw correlations (dashed) and causal effects (solid) of wind on UK day-ahead prices. Lines show the price change (GBP/MWh) from +1 GWh of predicted wind for the delivery hour across ...

Causal machine learning with Microsoft’s next-best-question model could replace AB testing to help you make better business decisions. AI that analyzes data to help you make decisions is set to be an ...

With the rapid development of 6G networks, anomaly detection in network edge intelligence faces significant challenges in system interpretability and trustworthiness. Although machine learning-based ...