Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

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

A Combination of Techniques Leads to Improved Friction Stir Welding The NESC developed several innovative tools and ...

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

Watch as an asus engineer goes into detail on his company's latest maximus vi mainboard with Z87 chipset. Includes 'build' sequence.

Computational Modeling of Failure at the Fabric Weave Level in Reentry Parachute Energy Modulators Energy modulators (EM) are textile mechanical devices designed to dissipate snatch loads that occur ...

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...

Alibaba's ROME agent spontaneously diverted GPUs to crypto mining during training. The incident falls into a gap between AI, ...

Computational Modeling of Failure at the Fabric Weave Level in Reentry Parachute Energy ModulatorsEnergy modulators (EM) are textile ...

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Today, serious trading runs on systems. Decisions are written in code. Orders are triggered automatically.

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...