Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

The researchers suggest that this improvement in diagnostic performance for OFC biomarker discovery can be used to develop a diagnostic alternative for food allergy that is scalable and more efficient ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

The MIT xPRO Driving Innovation with Generative AI program prepares students for industry employment through its practical ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

Mobile games have traditionally turned to programmatic advertising partners for their effectiveness in achieving scale. But as gaming markets become more competitive, an acquisition-at-all-costs ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...