Abstract: The interaction between non-coding RNA (ncRNA) and protein (ncRPI) plays a crucial role in many physiological activities and disease progression. To identify ncRPIs on a large scale by ...

Abstract: In interactions between automated vehicles (AVs) and crossing pedestrians, modeling implicit vehicle communication is crucial. In this work, we present a combined prediction and planning ...

Abstract: Identifying a brain signal that enables the detection of incorrect execution in human-robot interaction (HRI) is considered a holy grail for real-time systems. A major challenge in achieving ...

Particle accelerators reveal the heart of nuclear matter by smashing together atoms at close to the speed of light. The high-energy collisions produce a shower of subatomic fragments that scientists ...

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: 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: 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: AI inference is emerging as a major driver of energy consumption in large-scale computing environments, yet most existing research focuses on the training phase of machine learning models.