Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Technical decisions that advance inference capabilities can help deliver the promise of ubiquitous, accessible AI.

Fake Alibaba Labs AI SDKs hosted on PyPI included PyTorch models with infostealer code inside. With support for detecting ...

Accurate climate prediction, particularly precipitation forecasting, remains a cornerstone for agriculture, water resource management, and disaster ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

Researchers from Carnegie Mellon University’s School of Computer Science developed a new approach to bridge this gap between available data and actionable insight, creating personalized models to help ...

Wonder what is really powering your ChatGPT or Gemini chatbots? This is everything you need to know about large language ...