Abstract: This paper proposes a dynamic parameter iterative optimization framework for off-grid direction-of-arrival (DOA) estimation in the presence of unknown mutual coupling (MC). By exploiting the ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

China's Ministry of Education's action plan aims to integrate AI in education, enhancing talent and innovation by 2030.

AutoResearch is an AI method that improves algorithms through self-run trials, including a chess engine jump from 750 to 2600 ...

Bringing a single drug to market can take more than a decade and cost billions of dollars, with fewer than one in ten candidates successfully reaching approval. Against this backdrop, generative AI is ...

At SAE World Congress 2026, Luminary, the Physics AI company, today announced SHIFT-Crash, the first Physics AI model that predicts full-vehicle crash response, including deformation and stress fields ...

New psychoactive substances (NPS) are a class of artificially designed and synthesized chemical substances designed to mimic the pharmacological effects of traditional drugs. They are characterized by ...

Fixstars Corporation (TSE Prime: 3687, US Headquarters: Irvine, CA), a global leader in performance engineering, today announced a major upgrade to Fixstars AIBooster, significantly enhancing its ...

WebFX reports that 80% of AI initiatives fail to produce results and a marketing AI ROI checklist aids businesses in ...

This year, we expect to see significant progress in one of the technology shifts required to implement 6G: the rise of ...

When Apple launched AppTrackingTransparency (ATT) in 2021, access to deterministic identifiers fell sharply as roughly 80% of ...

Natural product libraries enable the discovery of bioactive compounds through diverse screening workflows. Inherent ...