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CausalAlign cures video models' "forgetfulness": geometry errors drop 20%
Researchers pinpointed where diffusion video models lose track of camera motion and aligned them with a 3D model. Wan2.2's geometric errors fell by more than 20%…
LEGO-SCD learns to detect changes in 3D scenes at 17.2 FPS without manual labeling
LEGO-SCD trains on automatic edits to 3D Gaussian Splatting scenes and posts top results: 67.64% mIoU on PASLCD, 75.82% on CCS3D, and 17.2 FPS.
Mistral Introduces Voxtral 3: 50-Language Recognition and Voice Agents for the Enterprise
France's Mistral launched Voxtral 3, an STT and TTS model family with an end-to-end voice pipeline, sub-500 ms latency, and on-premises deployment.
Huawei openJiuwen connects an LLM to lab equipment for electrocatalysis
Anhui Bets on Humanoids: A Robotics Park in Hefei and a 15.1 Billion Yuan Project
Lovable Launches Auto-Deletion of "Dead" Apps: 60 Days of Silence, Then the Trash
Jiqizhixin Invites NeurIPS 2026 Authors to an Offline Meetup in Beijing
Xiaohongshu speeds up its sparse-attention indexer: DoSA halves TTFT
Xiaohongshu's Dots team proposes DoSA, which prunes about 97% of candidates in the indexer, keeps the same Top-K and cuts time to first token by half.
A Company's Immune System and 7,522 Hours Saved: What Actually Worked When Rolling Out AI at Alpina
Deploying AI at a 300+ person company hinges not on choosing a language model, but on overcoming organizational inertia and employees' fear of losing their…
Dream Labs, from the NVIDIA DreamZero team, raises $90M and opens an API for robots
HyperDrone Renders Millions of Frames per Second and Outpaces Rivals by 20x
RLSplat teaches 3D Gaussian Splatting to economize: up to 4.1× faster and 9.6× less memory
Stratified Sparse Attention speeds up decoding 2.96x at 1M context
Qwen-Audio-3.1-ASR: 30 Languages, 16 Dialects, and Diarization in a Single Model
Qwen releases Qwen-Audio-3.1-ASR: 30 languages, 16 Chinese dialects, diarization with speaker labels, and audio understanding, from music to time-stamped event…
A Team of AI Researchers Found a Linear Attention Design That Beat GDN2 at 1.3B
A team of persistent AI agents with different scientific backgrounds searched for linear attention architectures. At 1.3B parameters, it beat GDN2 on language…