In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

MIT researchers introduce a technique that improves how AI systems explain their predictions, helping users assess trust in ...

To prepare for extreme heat waves around the world -- particularly in places known for cool summers -- climate-simulation models that include a new computing concept may save tens of thousands of ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

Thermometer, a new calibration technique tailored for large language models, can prevent LLMs from being overconfident or underconfident about their predictions. The technique aims to help users know ...

Classical computations rely on binary bits, which can be in either of the two states, 0 or 1. In contrast, quantum computing is based on qubits, which can be 0, 1, or a superposition or entanglement ...

Using tumor growth modeling and informed neural networks as early predictive clinical endpoints. 2007 Continuous dispersion for invasive motility. 2009 Invasive growth with cell density and oxygen.

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...

The Bohr Model of Hydrogen revolutionized our understanding of atomic structure and behavior. In this video, we simplify the calculations of force and velocity within the hydrogen atom using Bohr’s ...