Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles.

Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.

Overview Demand for diverse, high‑quality datasets is increasing rapidly as AI models scale.Leading firms now combine ...

D, its first wheeled humanoid robot designed for advanced data collection and model training. The robot serves as the centerpiece of a full-stack solution that combines high-performance humanoid ...

Vibe coding creates unreliable software and risks long-term model collapse, where systems degrade due to compounding errors ...

Despite the fact that AI videos were the most viral trend in 2025, image models still captured nearly twice as many chats as video models (92,105 vs. 55,453). However, this is not surprising, ...

Tether partners with Rumble and Northern Data, leasing 20,000+ GPUs to advance freedom-first AI and creator tools.

Once a buzzword, the "digital middle platform" is now mired in what Gartner calls the "trough of disillusionment" —data keeps ...

Silverback AI Chatbot has announced the introduction of its AI Automation Agency framework, a structured approach designed to ...

As MCP servers become more popular, so do the risks. To address some of the risks many vendors have started to offer products ...

In a federated model, technology leaders—whether from IT, engineering or business unit leaders—have a nuanced understanding ...