According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...

The platforms that consistently deliver real value and maintain solid unit economics are most likely to endure.

As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

Researchers from the University of Chinese Academy of Sciences and collaborating institutions have developed a novel ...

Abstract: Neural network (NN) technology is revolutionizing the modeling paradigm in the engineering arena, simultaneously enhancing model precision and process speed. Nevertheless, a large amount of ...

Aging bridges worldwide face growing safety challenges due to extended service life and environmental stressors. However, most existing studies lack a systemic perspective and mainly rely on ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

Reasoning, the process of devising and executing complex goal-oriented action sequences, remains a critical challenge in AI. Current large language models (LLMs) primarily employ Chain-of-Thought (CoT ...

ABSTRACT: The VMamba (Visual State Space Model) is built upon the Mamba model by stacking Visual State Space (VSS) modules and utilizing the 2D Selective Scan (SS2D) module to extend the original ...