Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

Rapid DNA tests, x-ray fluorescence guns, and other technologies are being deployed in the fight against wildlife trafficking ...

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Organizations racing to harness vast volumes of structured and unstructured data are increasingly turning to Data lakehouse architectures ...

The "conversational" era of AI, which was characterized by human-to-machine communication, has given way to the "agentic" era, in ...

Key TakeawaysDigital twins are ultra-accurate computer-based simulations of complex physical systems used for exploring "what ...

While more product executives reposition AI sandbox management as a core, centralized platform product, this evolution can be a complex and demanding transition.

AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.

Spirent Luma uses a multi-agent architecture and deterministic rule sets to automate root cause analysis in multi-technology network environments.

With six days of testing in Bahrain now complete, ESPN pores over the data and speaks with paddock sources to predict F1's running order for 2026.

Explore the future of embedded systems development with Claude Code. Learn how AI tools could deliver high-quality code faster.