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 ...
GTFormer proposes replacing Transformer self-attention with a hierarchical graph neural network, achieving zero-shot length ...
A dual-track AI framework reads Amazon reviews with DeBERTa-v3 encoders and aspect-specific attention, assigning sentiment to ...
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 ...
Diffusion transformers use transformer backbones inside diffusion-style generative processes, modeling noisy image, video, or ...
Through my technical series on note, I have explained a wide range of topics, from AI data management and model optimization ...
DeepSeek-V4.1-Flash-1017 scores 77.0 on DeepSWE v1.1, and DeepSeek opens Search and Fetch APIs at $0.75 per 1,000 calls.
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