FasterViT achieves a new SOTA Pareto-front in terms of Top-1 accuracy and throughput without extra training data ! We introduce a new self-attention mechanism, denoted as Hierarchical Attention (HAT), ...

Unlike traditional artwork, a table must not only be visually striking but also functional and durable. I envisioned a transformable sculpture—an artistic statement that could also serve as a ...

A convolutional neural network (CNN) based on a transformer model is also developed, leveraging transfer learning to enhance prediction accuracy, efficiency, and generalization. Experimental results ...

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Abstract: To address the issue that current transformable spoke-wheeled leg-wheel robots cannot simultaneously achieve simple structure, stable locomotion and open step climbing ability, a novel robot ...

Department of Electrical and Computer Engineering, University of Illinois at Urbana−Champaign, Urbana, Illinois 61801, United States ...

At the center of the chaos was a burning electrical transformer. The transformer is rarely considered as a linchpin of today’s technologically interdependent world, let alone as a key to the ...

While AlexNet used a CNN architecture specialized for processing grid-like data such as images, today's AI systems like ChatGPT and Claude rely primarily on Transformer models. Those models are a ...

Double the action is on it's way as Hasbro's two biggest franchises, the Transformers and G.I. Joe are set to cross over in the upcoming film. The film will explore both the universes and bring them ...

Following the approach used for all large reasoning models, Tencent relied heavily on reinforcement learning during development, with 96.7 percent of post-training computing power focused on improving ...