Abstract: Characterizing and predicting the training performance of modern machine learning (ML) workloads on compute systems with compute and communication spread between CPUs, GPUs, and network ...
The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...
ASUS's limited edition ROG Matrix GeForce RTX 5090 claims the top spot as the world's most powerful gaming GPU. But at what ...
IP that’s built on a RISC-V vector processing CPU. The platform has been augmented to support artificial-intelligence/machine ...
Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...
Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
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) ...
CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...
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Testing 275 lbs of batteries – range and performance
We test how far 275 lbs of batteries can power a vehicle, exploring range, performance, and efficiency. Watch the experiment and learn insights about energy storage and real-world battery applications ...
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