Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

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

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.

Whether a smartphone battery lasts longer or a new drug can be developed to treat incurable diseases depends on how stably the atoms constituting the material are bonded. The core of molecular design ...

Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining ...

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

The fact that the lineup includes a total of 40 exclusively Jewish female photographers from the last and current centuries ...

Amazon revealed its intention to invest a staggering $200 billion this year in various business initiatives, with a substantial portion allocated to AI development. This marks a notable rise from the ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...