A Visual Model Of Self-Attention: Transformers Work Differently Now

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
IEEE

SolarFormer++: Multi-scale Transformer for Solar PV Profiling and Obstruction Localization for Degradation Mitigation

Abstract: As climate change accelerates, the global transition to clean and sustainable energy is increasingly urgent. Photovoltaic (PV) energy is a preferred choice due to its reliability and ease of ...
EurekAlert!

AI boosts understanding of ocean dynamics and marine structure safety

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
IEEE

Latency-Critical Quantized Inference With Transformer Decoders on ARM and RISC-V CPUs

Abstract: Large language models are transforming industries but face challenges due to their high computational and energy demands. Model compression via quantization mitigates these barriers by ...