Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

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 ...

This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...

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.

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 ...

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 ...