The patch probe, with a center frequency of 8.5 MHz, provides excellent spatial resolution and penetration depth.

A 1-billion-parameter language model built at the University of Southern Denmark matched models four times its size on standard reasoning benchmarks — trained without a single token sourced from ...

Super-scaling motion tracking yields a single, versatile behavior foundation model for humanoid whole-body control.

NAVER Labs Europe publishes ten peer-reviewed papers at ECCV 2026 in Malmo, Sweden this September, anchored by a robot navigation breakthrough: a frozen Vision Transformer with one scalar per image ...

Electronic skin powered with artificial intelligence could enable next-generation robotic and medical devices, yet integrating multimodal sensors and analyzing heterogeneous, multifrequency time ...

Mehdi Saeedi, Eddie Richter, and Paul Hartke report achieving median fidelity of 1.000 on 3-6 qubit parameterized circuits using a hybrid approach that combines a 44.8 million-parameter transformer ...

Understanding how deep learning models map neural population activity to stimuli requires both high predictive accuracy and interpretable internal mechanisms. In this work, we employ the POYO ...

title: "8.7 Transformer Decoder：Masked Self-Attention 与 Cross-Attention" 前面我们已经看了 Transformer encoder。Encoder 的核心任务是 ...

The gap between language model capabilities and robotic deployment has been narrowing considerably over the past 18 months. A new class of foundation models — purpose-built not for text generation but ...

Virginia Transformer Corporation is expanding its Georgia Transformer facility in Rincon. This project will increase the company's production capacity by 50%. The expansion represents a $40 million ...

A complete walkthrough of implementing the original Attention Is All You Need encoder-decoder Transformer—no torch. nn.Transformer, no shortcuts. The 2017 paper "Attention Is All You Need" by Vaswani ...