Tech Xplore

Foundation AI models trained on physics, not words, are driving scientific discovery

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...

OpenAI spills technical details about how its AI coding agent works

On Friday, OpenAI engineer Michael Bolin published a detailed technical breakdown of how the company’s Codex CLI coding agent ...
IEEE

Series Arc Fault Identification Based on a Novel Newton-Optimized Sparse Kernel Support Vector Machine

Abstract: Existing machine learning-based methods for series arc fault (SAF) identification still suffer from slow training speed when dealing with large-scale SAF datasets. For this reason, we ...
IEEE

Sea Ice Thickness Inversion Based on Support Vector Regression for FengYun-3E IDW Data

Abstract: Due to the increasing demand for monitoring sea ice thickness (SIT) in the global environment, the SIT inversion based on global navigation satellite system-reflectometry (GNSS-R) has ...
Le Lézard

MongoDB Sets a New Standard for Retrieval Accuracy with Voyage 4 Models for Production-Ready AI Applications

MongoDB, Inc. today announced an industry-first expansion of its AI capabilities at MongoDB.local San Francisco, bringing ...
CEOWORLD magazine

Engineering Excellence: Satish Kumar’s Journey in Cloud-Native Architecture and AI Innovation

The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...
GitHub

An AI Agent with optional Human-in-the-Loop Safety, Model Context Protocol (MCP) integration, and beautiful, themeable CLI output

Agent Loop is a command-line AI assistant. It leverages Anthropic's Claude or OpenAI's GPT models and a suite of powerful tools to automate, inspect, and manage your development environment—while ...