Bayesian inference provides a robust framework for combining prior knowledge with new evidence to update beliefs about uncertain quantities. In the context of statistical inverse problems, this ...

“The rapid release cycle in the AI industry has accelerated to the point where barely a day goes past without a new LLM being announced. But the same cannot be said for the underlying data,” notes ...

At the center of this gap are five systemic dysfunctions that reinforce one another: communication bottlenecks, memory ...

How to improve the performance of CNN architectures for inference tasks. How to reduce computing, memory, and bandwidth requirements of next-generation inferencing applications. This article presents ...

Deployed in AWS data centers and accessed through Amazon Bedrock, AWS Trainium + Cerebras CS-3 solution will accelerate inference speed Fastest inference coming soon: AWS and Cerebras are partnering ...

KubeCon Europe 2026 made AI inference its central focus with major CNCF donations including llm-d, Nvidia's GPU DRA driver and a growing AI conformance program.