A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

MIT introduces Self-Distillation Fine-Tuning to reduce catastrophic forgetting; it uses student-teacher demonstrations and needs 2.5x compute.

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Especially when it comes to manufacturing, problem-solving is an art. Every day, companies within this industry face challenges that test their processes, products and, ultimately, their bottom line.

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

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 ...