FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Abstract: Aero-engine fault diagnosis faces challenges such as low accuracy and weak physical interpretability. Additionally, early anomalies are difficult to identify due to complex thermodynamic ...

Red Hat, the world’s leading provider of open source solutions, today announced Red Hat AI Enterprise, an integrated AI platform for deploying and managing AI models, agents and ...

As India pivots from software services to AI token "factories" with tax breaks for global firms, questions arise over jobs, skills and the future of its $200 billion IT export engine ...

A local LLM inference engine written entirely in Rust. It runs GGUF and safetensors models on your PC, with a unique Soul system that lets the AI learn and remember across conversations.

Cloudflare has released the Agents SDK v0.5.0 to address the limitations of stateless serverless functions in AI development. In standard serverless architectures, every LLM call requires rebuilding ...

When shutting down the Triton Inference Server with Python backend while using Triton metrics, a segmentation fault occurs in python_backend process. This happens because Metric::Clear attempts to ...

Abstract: Accurate drive mode classification is essential for enhancing the reliability and predictive maintenance of heavy-duty electric trucks. This study proposes a novel fuzzy logic-based ...

In the world of Large Language Models (LLMs), speed is the only feature that matters once accuracy is solved. For a human, waiting 1 second for a search result is fine. For an AI agent performing 10 ...