(1) The sources or owners of the datasets. (2) A description of how the datasets further the intended purpose of the artificial intelligence system or service. (3) The number of data points included ...

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

Elon Musk’s xAI has lost its bid for a preliminary injunction that would have temporarily blocked California from enforcing a law that requires AI firms to publicly share information about their ...

DataLab's team of in-house experts and researchers innovate to produce, repackage, and surface novel training and evaluation datasets from data produced in the real world. At launch, a majority of the ...

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...

OpenZeppelin questioned OpenAI’s recent EVMbench results after finding that the AI models were likely exposed to vulnerability reports during pretraining.

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

Physical AI data infrastructure startup Encord lands $60M to accelerate intelligent robot and drone development - ...

Polymers are fundamental to our daily lives, serving as the core components for a wide array of goods, including clothing, packaging, transportation infrastructure, construction materials, and ...

Meta is creating a new applied AI engineering organization to accelerate its superintelligence strategy and scale AI model development.

Pretraining a modern large language model (LLM), often with ~100B parameters or more, typically involves thousands of accelerators and massive token corpora, running for days to months. At that scale, ...