get_t5_decoder_with_transformer_engine_block_spec, get_t5_encoder_with_transformer_engine_block_spec, ...

The current codebase is split so data preparation, data loading, training, inference, and efficiency metrics are easier to inspect independently. uv run python prepare_dataset.py \ --raw-data-path ...

TadA-Bench: A Million-Variant Benchmark for Future-Round Discovery Toward Agentic Protein Engineeringarxiv: https://arxiv.org ...

Randomness forms a crucial backbone of modern society, where every encryption key, secure transaction and digital signature ...

Abstract: The domain gap caused mainly by variable medical image quality renders a major obstacle on the path between training a segmentation model in the lab and applying the trained model to unseen ...

Researchers at the National University of Singapore have developed a quantum random number generator ...

Xiaomi has always been known for affordable smartphones and smart home gadgets. But over the last year and a half, the ...

PromptSE uses structured LLM prompting to generate pharmacologically relevant side-effect representations, then feeds them ...

多模态Transformer网络赋能蛋白质-小分子相互作用预测，显著提升激酶抑制与酶-底物关系识别精度论文：A multimodal Transformer Network for protein-small molecule ...

Measuring blood NAD levels revealed no difference across age, diet, or exercise habits, indicating that scientists must rethink blood-based biomarkers of healthy aging.

Electrical and electronic engineering is the branch of engineering that makes use of electricity. Electrical engineering concentrates on systems for generating and transmitting large electrical ...