This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

Think of FEA as the ultimate GPS for government agencies trying to navigate the messy but exciting world of AI without crashing their systems.

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...

Nvidia Corp. today launched a reference architecture that hardware makers can use to build storage equipment for artificial intelligence clusters. The BlueField-4 STX made its debut at the company’s ...

G-Stacker has announced the availability of its digital infrastructure platform designed to automate the creation of interconnected Google properties. The software operates as a technical utility that ...

Nvidia CEO Jensen Huang talks up efforts by the AI technology giant to pave the way for self-evolving, multi-agent systems ...

Orbs today announced the launch of Orbs Agentic, a dedicated execution layer designed to power autonomous DeFi agents with ...

Akamai integrates NVIDIA AI Grid into its network to support real-time AI workloads, combining edge and cloud infrastructure for scalable inference.

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...

Hammerspace Inc., an eight-year-old startup that provides high-speed access to distributed data, has introduced an artificial ...