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A team of researchers from the University of Washington has collaborated to address the challenges in the protein sequence design method by using a deep learning-based protein sequence design method, LigandMPNN. The model targets enzymes and small molecule binder and sensor designs. Existing physically based approaches like Rosetta and deep learning-based models like ProteinMPNN are…

In a recent tweet from the founder of Dataquest.io, Vik Paruchuri recently publicized the launch of a multilingual document OCR toolkit, Surya. The framework can efficiently detect line-level bboxes and column breaks in documents, scanned images, or presentations. The existing text detection models like Tesseract work at the word or character level, while this open-source…

Many people are now interested in the state space model (SSM) because of how recent research has advanced. Modern SSMs, which derive from the classic state space model, benefit from concurrent training and excel at capturing long-range dependencies. Process sequence data across many activities and modalities using SSM-based methods like linear state-space layers (LSSL), structured…

Developing models capable of understanding and generating sequences has become a cornerstone of progress. Among these, transformers have emerged as the gold standard, celebrated for their ability to capture the intricacies of language and other sequential data with unparalleled precision. This prominence is set against a backdrop of continuous exploration for models that promise both…

Recent advances in language models showcase impressive zero-shot voice conversion (VC) capabilities. Nevertheless, prevailing VC models rooted in language models usually utilize offline conversion from source semantics to acoustic features, necessitating the entirety of the source speech and limiting their application to real-time scenarios. In this research, a team of researchers from Northwestern Polytechnical University,…

Fitness landscapes, a concept in evolutionary biology, represent how genetic variations influence an organism’s survival and reproductive success. They are formed by mapping genotypes to fitness, a measure of an organism’s ability to thrive and reproduce. These landscapes are central to understanding evolutionary processes and advancements in protein engineering. However, mapping these landscapes involves assessing…