Abstract: U-shaped encoder-decoder models have excelled in automatic medical image segmentation due to their hierarchical feature learning capabilities, robustness, and upgradability. Purely CNN-based ...

Abstract: Transformer-based methods are recently popular in vision tasks because of their capability to model global dependencies alone. However, it limits the performance of networks due to the lack ...

Thinking Machines Lab Inkling launches as the largest US-built open-weight AI model — a 975-billion-parameter multimodal ...

Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging Neuralink’s invasive methods by decoding brain signals into text without surgery.

These local LLMs are changing the game in lots of fun ways.

做光学设计的同行都懂，好镜头是“调”出来的，也是“等”出来的。Zemax里反复改曲率和厚度，Lumerical里扫描周期单元的相位响应，一个参数组合跑下来，工作站转一整天是常态。更别提无透镜成像的重建调参、叠层成像的扫描校正，每一步都靠手动调试和 ...

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并行draft的速度优势已经很明显，下一步要补上的，是block内部的因果一致性。