Deployment delivers a 24% increase in quote-to-policy conversion, demonstrating the commercial impact of AI-guided customer journeys in insurance LONDON, UNITED ...
Abstract: Attention-based Transformers have revolutionized natural language processing (NLP) and shown strong performance in computer vision (CV) tasks. However, as the input sequence varies, the ...
Abstract: Positron Emission Tomography (PET) has been a pivotal tool in brain research, enabling detailed analysis of cerebral flow, metabolism, and receptor occupancy. Spatial resolution is a ...
Abstract: In response to the problem that the existing service robots' semantic understanding relies on a single language input and the responses lack scene adaptability, this paper proposes a ...
Abstract: Generating realistic two-person interaction motions from text holds immense potential in computer vision and animations. While existing latent motion diffusion models offer compact and ...
Abstract: This work presents a 55nm speculative decoding-based LLM accelerator with bumpingbased face-to-face ReRAM-on-logic stacking technology. It features a local rotation unit for outlier-free low ...
Abstract: State-space models (SSMs) and weight-only quantization alleviate huge external memory access with a minimal accuracy degradation. To support both efficiently, we propose LUTSSM, a LUT-based ...
ABSTRACT: As Artificial Intelligence (AI) becomes more common in professional and psychological contexts, concerns about human autonomy and epistemic vigilance have grown. Questions around the ...
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