AI Business

Nvidia’s new system is designed to contain rogue AI agents as companies race to secure increasingly autonomous systems. But it has not been proven yet.

The revamp transforms Copilot from a simple AI assistant into a content workspace, providing knowledge workers with advanced developer tools.

As AI agents gain more authority to act on their own, recent incidents are exposing gaps in how enterprises monitor, control and intervene when agents cross established boundaries.

Chinese firms supplied nearly all dexterous hands for humanoid robots in early 2026, but Western players are starting to close in.

The neocloud vendor provides AI agents with access to data from its infrastructure management platform, helping developers troubleshoot slow or underperforming AI workloads.

The features Google introduced build on existing technology and provide enterprises with a hub for all their AI model capabilities.

Anthropic and OpenAI released new models this week, expanding the range of models enterprises can use for different workloads and raising new considerations for multi-model management.

AI models train on information available on the internet. Robots can’t do that.

The development adds to the rising momentum toward general-purpose robots and the real-world deployment of physical AI.

The vendor is reacting to U.S. rivals Google and Anthropic, as well as the growing popularity of open source models.

The AI lab still lags in the price war with rivals.

While many organizations are accelerating their use of AI, they need to focus on governance and invest in trust, security and alignment.

As AI gets more capable, enterprises are running into a different set of problems: managing models, data, permissions and governance.

The models support real-time conversation by enabling users to interact without the traditional prompt-response structure.

Regulating frontier AI could sideline smaller open source developers and push enterprises to take on more of the safety and governance burden themselves.

A significant portion of enterprises struggle to demonstrate clear ROI from AI initiatives, but some have found areas where AI can provide productivity gains and even revenue growth.

The robot maker says its latest humanoid is designed to work alongside people, but analysts warn that industrywide safety standards remain underdeveloped.

Zoom is aiming to diversify its product offerings amid declining enterprise adoption. However, the video communications vendor faces fierce competition.

Cobot shipments to humanoid manufacturers are expected this year, as robot makers increasingly outsource hardware.

Calls for an AI slowdown come as enterprise demand is building for cheaper and unregulated open source models from China.

The meaning of harness is still evolving.

The trial is the first of its kind on the continent.

California's new AI auditing laws point to a shift from companies making their own safety claims to proving those claims in independent review.

The French AI lab is using a $3B fundraise to sell control over AI infrastructure, not just model power -- a shift in direction that could matter to U.S. firms in Europe too.

The competitive landscape, particularly the geopolitical clash between the U.S. and China, complicates the AI safety dilemma.

Interest in automated generative AI coding has exploded along with the vendor’s growth.

The tech giant simultaneously revealed a nuclear power contract with Finnish operator Fortum, its first outside of the U.S.

The companies will develop compute modules using Qualcomm Dragonwing processors, as Neura looks to scale physical AI in Europe.

The chipmaker is competing with Nvidia, the world’s dominant producer of AI processors.

Mistral started as an open-weight AI startup, but its focus is now shifting toward sovereign AI in response to the European market. The new funding round is expected to help bridge that transition.