Scientists have developed a network of mechanical motors that mimic the molecular machinery underpinning human muscle ...
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: Current digital human studies focusing on lip-syncing and body movement are no longer sufficient to meet the growing industrial demand, while human video generation techniques that support ...
The integration of GPT-5.4 Thinking into frontend development introduces a new level of efficiency and precision, particularly through its enhanced Computer Use Ability (CUA). This feature allows the ...
Abstract: This paper proposes a CNN-BiLSTM-Attention hybrid model to address the challenges of output prediction in Neutral Beam Injection (NNBI) accelerator power supply systems, which are critical ...
Abstract: The human-machine interface is a crucial component of exoskeleton design, and understanding how the human nervous system adapts to and learns to coordinate with wearable robotic systems is ...
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: The interaction model is widely used to study the propagation patterns of cascading failures in power systems. However, most existing models rely on the Markovian assumption, which limits ...
Abstract: In complex maritime scenarios, multiple targets in the same radar beam often degrade the quality of inverse synthetic aperture radar (ISAR) imaging. Most existing methods typically leverage ...
Abstract: Interactive segmentation is to segment the mask of the target object according to the user’s interactive prompts. There are two mainstream strategies: early fusion and late fusion. Current ...
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