Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

Background Hypertrophic cardiomyopathy (HCM) is often underdiagnosed. Artificial intelligence (AI)-based notification of HCM ...

with a focus on first-principles performance modelling of distributed-memory parallel programs in HPC. She also conducts research in multi-core and parallel architectures, parallel computing and ...

Researchers from MIT, Yale, McGill University and others found that adapting the Sequential Monte Carlo algorithm can make AI ...

The Vector API gives Java developers everything they need to tap into CPU-level performance gains for numerically intensive ...

As quantum-inspired methods enter the AI arena, companies like Dynex are developing alternatives to mainstream LLMs. What ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

Human-Robot Collaboration, Speed and Separation Monitoring, Safety Zones, Industrial Robot Share and Cite: Verschueren, G. , Noens, R. , Nica, W. , Accoto, D. and Juwet, M. (2025) Advancing ...

Abstract: In this paper, the distributed form of the zeroing neural network for solving time-varying optimal problems is put forward. Compared with traditional centralized algorithms, distributed ...

Sensitivity is the likelihood of correctly determining the presence of disease in the whole population that has the disease (true positive rate) whereas specificity is the likelihood of correctly ...