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

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

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

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

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 ...

Getting retrieval-augmented generation right requires a deep understanding of embedding models, similarity metrics, chunking, ...

AI’s growth is limited by poor-quality data, not model size. Human expertise in data curation, decentralized feedback and ...

Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging, clinical laboratory tests or clinical history, resulting in subtle changes ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning,” is reshaping how researchers ...

Microsoft says it mitigated a known issue in one of its machine learning (ML) models that mistakenly flagged Adobe emails in Exchange Online as spam. As the company revealed in an advisory on the ...

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard ...