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 ...

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 ...

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

Before rain begins to fall, scientists and engineers can predict where a storm might cause flooding thanks to advanced ...

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.

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 ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by ...

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and ...