When large experimental devices become a teaching pain point due to being "heavy, expensive, and hazardous," Shandong ...

This is the latest achievement published in the Science subjournal, Science Robotics, by research institutions including ...

The future of AI applications lies in moving beyond single-shot generation to modular systems composed of intelligent, ...

To address this, we developed ProtHGT, a heterogeneous graph transformer-based model that integrates diverse biological datasets into a unified framework using knowledge graphs for accurate and ...

This study aims to investigate core graph metrics to understand the network properties of cortical areas crucial for executive functions, specifically initiation, inhibition, shifting, and working ...

This repository provides a solution for generating and verifying query–function calling pairs used to fine-tune and evaluate function calling models. It comprises three main components: All core ...

Excessively narrow specialization in business school faculty does not serve the needs of the supposed beneficiary, the MBA ...

By further considering a communication graph, we propose two distributed RL approaches based on local value functions derived from the coupling graphs. The first approach is able to reduce sample ...

Our AI honorees include people who steer model development at Silicon Valley’s biggest tech firms and academic researchers ...

IIT Guwahati has released the GATE 2026 Syllabus for Computer Science & Information Technology (CS&IT) along with the ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...