To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

Compressed air energy storage (CAES) is an effective technology for mitigating the fluctuations associated with renewable ...

The global surge in electric vehicle adoption stands as a cornerstone of efforts to combat climate change and reduce reliance ...

A new review titled Artificial Intelligence and the Discovery of Antibiotics: Reinventing with Opportunities, Challenges, and Clinical Translation, published in the journal Antibiotics, examines how ...

Why AI is becoming ldquo;native rdquo; to 5G/6G networks The evolution from 5G to 6G networks represents a dramatic leap in complexity that fundamentally challenges traditional network management ...

TOKYO, March 13, 2026 /PRNewswire/ -- PRISM BioLab Co., Ltd. ("PRISM") and Receptor.AI Inc. today announced that they have entered into a drug discovery collaboration agreement (the "Collaboration") ...

Advancing the Discovery of Novel Therapies and Building an Integrated Drug Discovery Platform by Combining PPI Science with AI —TOKYO, March 12, 2026 ...

Governmental Procurement of AI is vulnerable to Arrow's information paradox. The standoff between Pentagon and Anthropic ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.