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

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

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 ...

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

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") ...

What appears as model bias is often a system-level issue. This phenomenon, known as AI bias propagation, is increasingly becoming a critical concern for enterprises scaling AI across products, ...

February 17, 2026) - QScreen AI Inc (CSE: QAI) (OTC Pink: PMEDF) (FSE: 3QP), an innovator fusing Quantum-AI technologies to transform health screening and employee wellness, today announced the filing ...