Natural Information

The next chapter of the Natural Information Society is here. Since Time Is Gravity, credited to Natural Information Society Community Ensemble with Ari Brown, presents a newly expanded manifestation of acclaimed composer & multi-instrumentalist Joshua Abrams nearly 15 year, 7 albums &-counting flagship ensemble.

Rich in musical associations yet utterly singular in its voice, joyous with an inner tranquility, the music of Natural Information Society is unlike any other being made today. Their sixth album in eleven years for eremite records, descension (Out of Our Constrictions) is the first to be recorded live, featuring a set from London’s Cafe OTO with veteran English free-improv great Evan Parker, & the first to feature just one extended composition. The 75-minute performance, inspired by the galvanizing presence of Parker, is a sustained bacchanalia of collective ecstasy. You could call it their party album.

The follow-up to joshua abrams's critically acclaimed 2015 album magnetoception is here. simultonality, credited to joshua abrams AND natural information society (NIS), is the first recording in the project’s nine year, four album history made by a regularly gigging manifestation rather than a special assembly of friends. recorded in 2014 & 2015 in single takes by the full ensemble during & after tours of the u.s. & canada, simultonality sets out new pathways for abrams & the NIS to reach the next summit, & once more affirms the project's unique approach to joining traditional musics, american minimalism & jazz with the gnawa ceremonial instrument the guimbri.

What is the role of the environment, and of the information it provides, in cognition? More specifically, may there be a role for certain artefacts to play in this context? These are questions that motivate "4E" theories of cognition (as being embodied, embedded, extended, enactive).

Understand Generative AI, Prompt-Engineering, implement Huggingface-Models, LLMs, Vector Databases, RAG, and more

This book provides a comprehensive presentation of a recently introduced framework, named "probabilistic indexing" (PrIx), for searching text in large collections of document images and other related applications. It fosters the development of new search engines for effective information retrieval from manuscripts which, however, lack the electronic text (transcripts) that would typically be required for such search and retrieval tasks.