From computer engineering and computer science to artificial intelligence

Early June saw the celebration of the Interdisciplinary Summer School on Artificial Intelligence, with talks on diverse subjects that went from creativity in Twitter bots by Tony Veale to my own talk on computer science and engineering and how they can help AI.

The talk had two parts; the first focused on how AI is improving in performance and decreasing its energy footprint via design of specific chips, many of them based on the RISC-V open hardware architecture. The second part was mainly devoted to concurrent programming and how algorithms and whole applications must be changed to meet the challenges of creating cloud-native programs.

Our research group fully supports free software and open science, and the field of AI is ratcheting up its achievements by working on free stacks, from free hardware to the whole set of programs and services that support them. Understanding these stacks will help us design better algorithms and frameworks in the future.

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