A new UAV-based framework detects semantic changes in rice fields, distinguishing disease and lodging transitions from paired ...
Self-supervised pretraining on raw ultrasound signals (RF/IQ data), learning general-purpose representations that transfer to downstream medical tasks without large labeled datasets. - ...
You type a question into the chat screen and hit the send button. Sometimes the reply starts immediately, but other times ...
SoftBank demonstrated up to a 60.5% improvement in 5G uplink L1 throughput under interference using a Transformer-based neural receiver integrated into NVIDIA Aerial. OTA testing with a commercial ...
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Graph architecture replaces transformer attention, extrapolating to 4 million tokens in linear time
GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...
Cartesia Research demonstrates that Hierarchical Networks (H-Nets) learning dynamic tokenization from raw bytes achieve up to ...
NVIDIA released Nemotron 3.5 Transcribe on October 28, 2026, an open-weight speech model that combines multilingual ...
Researchers from the University of Gothenburg and Chalmers University of Technology have developed a modular neural decoder ...
Xiaomi-Lens-0 shipped six days ago with pixel masks as tokens. A Transformers PR landed today. What the vendor numbers show, ...
A new deep learning network called MTF-Net combines multi-scale transformer attention with cross-branch feature fusion to ...
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