Meta is developing a cloud infrastructure to sell AI computing access, competing with AWS, Azure, and Google Cloud.

A cloud outage is a bigger problem if you don’t learn from it. Increasing cloud failures are exposing critical weaknesses in enterprise architecture. Here are 3 things to do about it.

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this ...

Bengaluru-born engineer and independent AI researcher Mayank Ravishankara focuses on AI evaluation, exploring whether benchmark performance reflects genuine understanding or pattern recognition in ...

Anthropic’s Claude models are now available in Microsoft Foundry, with Azure-based authentication, billing, governance, and ...

Proprietary and open-weight AI represent two competing approaches to building and commercialising artificial intelligence.

Google released Nano Banana 2 Lite, a faster and cheaper Gemini image model for high-volume AI image generation across apps ...

Detailed price information for Veeco Instrument (VECO-Q) from The Globe and Mail including charting and trades.

Meta AI agents behind schedule after 8,000 layoffs and up to $145B in 2026 spending: Zuckerberg told employees Thursday that four months of restructuring have not accelerated agentic development as ...

Meta AI agents behind schedule after 8,000 layoffs and up to $145B in 2026 spending: Zuckerberg told employees Thursday that ...

Indian AI startups, have been using open-weight models to build enterprise AI applications for some time. Mint explains why.

India’s AI-native startups drew nearly $1 billion in H1 2026, but on the back of two mega deals from Neysa and Sarvam AI.