The Pentagon’s decision to expand its artificial intelligence partnership with Google represents one of the most significant intersections of military power and private-sector technology in recent memory. At its core, …
Nvidia Nemotron 3 Nano Omni is an open-source multimodal AI model that unifies vision, speech, and language processing into a single architecture. Rather than requiring separate models to handle images, …
SuiteCloud Agent Skills are a new set of knowledge packages from Oracle NetSuite that give AI coding agents the context they need to build, review, and deploy NetSuite customizations with …
In late April 2026, China’s National Development and Reform Commission (NDRC) formally ordered Meta Platforms to unwind its roughly $2 billion acquisition of Manus, a Singapore-incorporated agentic AI startup with …
AI agents were supposed to simplify work, automate repetitive tasks, and accelerate decision-making across the enterprise. For a brief period, they delivered on that promise by helping teams move faster …
DeepSeek V4 is the latest large language model from DeepSeek, the Hangzhou-based Chinese AI startup that disrupted global tech markets last year with its surprisingly capable and cost-efficient R1 reasoning …
Enterprise AI has officially crossed a line. What started as copilots and assistants has rapidly evolved into something far more operational. AI agents are no longer just supporting work. They …
Most B2B marketing teams have added AI tools one at a time, and now they don’t talk to each other. Here’s how to diagnose whether you have a tool problem or a data architecture problem, and what a connected AI stack actually looks like.
The AI coding tools market just got its biggest headline yet. SpaceX, fresh off its all-stock acquisition of Elon Musk’s AI venture xAI, has announced a formal partnership with Cursor, …
A Tensor Processing Unit, or TPU, is a custom-built chip that Google designs specifically to accelerate artificial intelligence workloads. Unlike general-purpose processors, TPUs are optimized for the high-volume, low-precision math …
