Covlant launches an end-to-end AI impact testing platform designed to help enterprise teams validate software changes faster, reduce deployment risks, and improve system reliability.

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Four-legged robots that scramble up stairs, stride over rubble, and stream inspection data — no preorder, no lab coat required.

In today’s data-driven world, data scientists face mounting challenges in preparing, scaling and processing massive datasets. Traditional CPU-based systems are no longer sufficient to meet the demands ...

How many times have you heard that outsourcing is just a race to the bottom for prices? If you believe that you are living in 2010. Today the global market for software development is not about ...

Amazon Web Services has introduced Strands Labs, a new GitHub organization created to host experimental projects related to agent-based AI development.

The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale's managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, ...

Systems microbiology now generates data at unprecedented scale across microbial community composition and function, host biology, and environmental ...

Manufact, a Y Combinator startup, raised $6.3 million to build open-source tools and cloud infrastructure for the Model Context Protocol (MCP), the fast-growing standard backed by Anthropic and OpenAI ...