Scientific Research Publishing

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Nature

Quantum computing ‘KPIs’ could distinguish true breakthroughs from spurious claims

Claims of leaps in quantum computing are made almost daily, but progress is hard to judge when each research group uses its own mixture of hardware, algorithms and evaluation metrics, making it near ...
IEEE

Balancing Performance and Cost—FPGA-Based CNN Accelerators for Edge Computing: Status Quo, Key Challenges, and Prospective Innovations

Abstract: The development of AI accelerators for real-time edge computing applications is a robust and ever-growing field that offers countless improvements upon classical CPU, GPU, or ASIC-based ...
IEEE

Enhancing Fault Tolerance in High-Performance Computing: A Real Hardware Case Study on a RISC-V Vector Processing Unit

Abstract: High-Performance Computing (HPC) systems are designed for large-scale processing and complex dataset analysis leveraging scalability, efficiency, and parallelism, often integrating ...