As biological data volume continues to grow, sequence-based AI is poised to become the dominant discovery layer across pharma ...
Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, e.g., GPT-3 and ...
Newly developed artificial intelligence (AI) programs accurately predicted the role of DNA's regulatory elements and three-dimensional (3D) structure based solely on its raw sequence, according to ...
This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...
A new study presents "Evo" – a machine learning model capable of decoding and designing DNA, RNA, and protein sequences, from molecular to genome scale, with unparalleled accuracy. Evo's ability to ...
Santa Clara, Calif.-based private EDA company Sequence Design Inc. is working with Taiwan Semiconductor Manufacturing Co. Ltd. (TSMC) under a formal agreement for TSMC to adopt Sequence’s interconnect ...
The difference between sequential decision-making tasks and prediction tasks, such as CV and NLP. (a) A sequential decision-making task is a cycle of agent, task, and world, connected by interactions.
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