Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Keeping up with the latest research is vital for scientists, but given that millions of scientific papers are published every year, that can prove difficult. Artificial intelligence systems show ...

Rising alert volumes, talent shortages, and tool sprawl have pushed security operations beyond a sustainable cost structure. Autonomous SOCs, powered by hyper automation, AI agents, and scalable ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

In AI research, progress is often equated with size. But a small team at Samsung’s AI lab in Montreal has taken another approach that is proving to show great promise. Their new Tiny Recursive Model ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

After multiple government agencies moved to unilaterally cap indirect research costs—claiming that the current structure allows universities to waste government funds—a coalition of 10 research ...

An Introduction to Programming and Computer Science with Python, second edition is a free, open source textbook available under a CC BY-NC-SA license. Originally developed for UVM’s CS 1210 ...

Two new models are geared toward creating a more transparent and accountable system to track costs indirectly related to research. After the National Institutes of Health tried earlier this year to ...