At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

The artificial intelligence community has long struggled with a fundamental challenge of making AI systems transparent and understandable. As large language models become increasingly powerful, ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

EXCLUSIVE: The White House Office of Science and Technology directed federal agencies to implement “Gold Standard Science" and de-politicize science and restore public trust.

The most valuable improvements of AI and machine learning are often tied to training data. However, under Recentive these improvements are unlikely to support the finding of patent eligibility.

Data Science Agent uses Anthropic PBC’s Claude large language model to dissect machine learning projects into logical steps and deliver executable pipeline components that can be run inside ...

Databricks edged out the 'Big 3' cloud giants in the latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms, which itself mirrors the industry shift to agentic AI, emphasizing ...

As the May 26th CE-IVDR compliance deadline comes into effect, Diagnostics.ai launches the industry's first fully-transparent machine learning platform for clinical real-time PCR diagnostics ...

In notice this week, DIU said it is looking for AI and machine learning tools that can speed up data processing at the Navy’s Marine Operations Centers.

Designed to support the entire machine learning lifecycle -- from data ingestion and model training to deployment and monitoring -- Azure ML is empowering developers to integrate predictive ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

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 ...