The entire Qwen-3 process - from uploading queries to on-orbit inference and sending results back to Earth - took less than ...
GUANGZHOU -- A Chinese commercial aerospace firm has successfully deployed a general-purpose AI model aboard its orbiting ...
Research combines solar energy, agriculture By Aadi Mehta, January 27, 2026 Cal Poly Pomona’s Spadra Farm has become the spot for Southern California’s first public agrivoltaics research project, ...
AI’s energy problem may also be its solution, as cities are increasingly exploring opportunities to repurpose excess heat ...
From drafting Slack messages to updating project timelines on Asana, Claude now lets you work inside connected apps. Here's ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
S2DM is an approach for modeling data across multiple domains. It is designed to be simple and accessible for Subject Matter Experts (SMEs) while incorporating semantic principles to define meaningful ...
From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
We use S3 source with ClickHouse as engine, and Rill for visualization. This example demonstrates advanced data modeling strategies for real-time analytics using ClickHouse and Rill. We showcase how ...
Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Abstract: The purpose of this article is to discuss a statistical approach for investigation of access to remote information objects in digital space. The data are collected based on monitoring of ...
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