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

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

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 ...

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

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 ...

Researchers at the University of Colorado Boulder have identified a molecule in Burmese python blood that suppresses appetite ...

Nvidia CEO Jensen Huang hints at agentic AI at GTC; a Groq-based LPU could boost inference, defend its moat, and more. Click ...

At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank ...

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

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

This is not about replacing Verilog. It’s about evolving the hardware development stack so engineers can operate at the level of intent, not just implementation.

Asian swamp eels are spreading through the Everglades and decimating crayfish populations, leading to comparisons with ...