Earth observation (EO) constellations capture huge volumes of high-resolution imagery every day, but most of it never reaches the ground in time for model training. Downlink bandwidth is the main ...

Abstract: The emergence of distributed machine learning has greatly improved the speed of machine learning model training, however, distributed machine learning is prone to be damaged by Byzantine ...

Step by step tutorial on how to make a LEGO brick vending machine using standard LEGO bricks. This video explains the full build process, including the internal layout, simple input system, and manual ...

Data Science Program, University of Delaware, Newark, Delaware 19716, United States Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States ...

Federated learning leverages data across institutions to improve clinical discovery while complying with data-sharing restrictions and protecting patient privacy. This paper provides a gentle ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

With the aim of bridging the gap between laboratory studies and real-world learning experiences, this research investigated the effects of combining retrieval and distributed practice in primary ...

According to Chris Olah on Twitter, a new tutorial video provides a valuable synthesis of AI advancements across various research labs, offering practical insights into how different teams approach ...

MLCommons selected four Georgia Tech students to participate in its 2025 Rising Stars cohort. A two-day Rising Stars workshop was held at Meta’s headquarters in May, where the participants showcased ...

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning models using shared data without compromising privacy. AWS has rolled out ...