As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained ...

PNY's compact and slim GeForce RTX 5080 graphics card pairs NVIDIA's custom and impressive Founders Edition with overclocked ...

Abstract: With the rapid development of deep learning techniques, Transformer-based methods for remote sensing change detection (RSCD) have achieved significant breakthroughs. However, these ...

Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...

NEST decodes EEG brain signals recorded during reading into natural language text. It uses pre-processed frequency-domain EEG features from the ZuCo corpus and a Transformer + BART architecture to ...

Abstract: Encoding and decoding of Reed-Muller codes have been a major research topic in coding and theoretical computer science communities. Despite of the fact that there have been numerous encoding ...

Computational optics represents a shift in approach where optical hardware and computational algorithms are designed to work together, enabling imaging capabilities that surpass those of traditional ...

Pressure on power infrastructure in the United States is intensifying, with a supply shortage for power and distribution transformers to hit 30% and 10%, respectively, in 2025, according to a recent ...

As an essential branch of chemical science, biochemical analysis is widely applied in disease diagnosis, food safety testing, environmental monitoring, and other fields. Artificial intelligence (AI) ...

Extend GenerationMixin's _assisted_decoding to support multiple candidates and tree search. Specifically, sample multiple draft tokens per decoding step, thereby improving the acceptance rate and ...