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 ...

Most AI systems are trained on historical data. When conditions shift due to changing consumer sentiment, models trained on ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

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 ...

The manufacturing landscape is evolving rapidly, with intelligent systems increasingly promising to boost efficiency, quality, and overall competitiveness. Traditional machine learning (ML) has ...

In a piece for The Transmitter, experts weigh in on how the two disciplines are essentially trading places: neuroscience is ...

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 ...

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 ...

Causal machine learning with Microsoft's next-best-question model could replace AB testing to help you make better business decisions. Image: ZinetroN/Adobe Stock AI that analyzes data to help you ...