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 speeds, signaling a major inference shift beyond Nvidia as the company faces ...
IEEE

LabVIEW Integrated with Python Machine Learning for DC Motor Drive

Abstract: This study presents a new technique that integrates LabVIEW and Python to enhance the control of DC motor drives through the utilization of machine learning methods. The objective of our ...
GitHub

Doe-1: Closed-Loop Autonomous Driving with Large World Model

Doe-1 is the first closed-loop autonomous driving model for unified perception, prediction, and planning. We formulate autonomous driving as a unified next-token generation problem and use observation ...
IEEE

Exploring Damping Effect of Inner Control Loops for Grid-Forming VSCs

Abstract: This paper presents an analytical framework to evaluate the damping contributed by inner control loops in grid-forming voltage-source converters. First, an impedance model is developed to ...
GitHub

Chromatin Loop prediction via Accessibility Model for Protein-mediated loops

CLAMP (Chromatin Loop prediction via Accessibility Model for Protein-mediated loops) is a framework built upon a language model pre-trained on extensive, cross-species chromatin accessibility data.