OpenAI deploys Cerebras chips for 'near-instant' code generation in first major move beyond Nvidia

OpenAI launches GPT‑5.3‑Codex‑Spark, a Cerebras-powered, ultra-low-latency coding model that claims 15x faster generation ...

OpenAI sidesteps Nvidia with unusually fast coding model on plate-sized chips

OpenAI has spent the past year systematically reducing its dependence on Nvidia. The company signed a massive multi-year deal with AMD in October 2025, struck a $38 billion cloud computing agreement ...

F5: Security Incident Impact And Outlook

Read here for F5 (FFIV) stock's AI and hybrid multi-cloud growth outlook, NVIDIA partnership, breach impact, and cloud-native ...
IEEE

TF-DDRL: A Transformer-Enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments

Abstract: With the continuous increase of IoT applications, their effective scheduling in edge and cloud computing has become a critical challenge. The inherent dynamism and stochastic characteristics ...
GitHub

Rectified Point Flow: Generic Point Cloud Pose Estimation

Improved model speed (9-12% faster) and training stability. Fixed bugs in configs, RK2 sampler, and validation. Simplified point cloud packing and shaping. Checkpoints are compatible with the previous ...
GitHub

Anomaly Detection in Large-Scale Cloud Systems

This repository contains the code implementation for the ICSE SEIP 2025 paper titled "Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset." The preprint for the paper is ...
IEEE

CADEC: A Combinatorial Auction for Dynamic Distributed DNN Inference Scheduling in Edge-Cloud Networks

Abstract: Deep Neural Network (DNN) Inference, as a key enabler of intelligent applications, is often computation-intensive and latency-sensitive. Combining the advantages of cloud computing (abundant ...