ESM2
PulseAugur coverage of ESM2 — every cluster mentioning ESM2 across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
New method conditions protein generation using stochastic attention
Researchers have developed a novel method for conditioning protein generation using a training-free stochastic-attention sampler. By incorporating a multiplicity ratio into the sampler's logits, the generation process c…
-
New method enhances protein language models with 3D contact supervision
Researchers have developed LC-SEPLM, a novel method to enhance protein representation learning by incorporating long-range contact supervision. This adaptation, applied to the ESM2 model using LoRA, explicitly trains th…
-
3D Masked Autoencoders advance microscopy representation learning
Researchers have developed 3D Masked Autoencoders (MAE-3D) that demonstrate superior performance in learning cellular representations from volumetric microscopy data compared to traditional 2D methods. By aligning visua…
-
New research tackles attention mechanism limitations in transformers
Researchers are exploring novel approaches to enhance the efficiency and effectiveness of attention mechanisms in transformers. Several papers introduce methods to mitigate issues like over-smoothing and computational b…
-
AI helps scientists engineer bacteria to survive on 19 amino acids
Researchers have utilized AI to investigate the fundamental building blocks of life, specifically proteins. By employing AI-guided protein design, scientists engineered a strain of E. coli that can survive with a reduce…