Is AI reasoning - or just faking it well? 🤔
New @NatureMachInt paper reframes the debate: not "Can AI reason?" but "How does AI compute?" via Turing-inspired algebraic circuit complexity.
A step beyond benchmark chasing.
🔍 nature.com/articles/s42256-0…
#AI #Reasoning #Complexity
AI-Hilbert is an attempt to evolve the Scientific Method by unifying hypothesis generation and hypothesis testing into a single step. The framework enables making scientific discoveries when both body of theory and data are limited ibm.biz/BdKidt, ai-hilbert.github.io
For those of you interested in Neuro-Symbolic AI, consider joining us at the upcoming 2023 IBM Neuro-Symbolic Workshop (23-27 Jan, 9 am-12 pm ET).
Registration is free at: lnkd.in/d5Cubcyi
#ai #ibm #ibmresearch #neurosymbolicai #machinelearning #reasoning #knowledge
A new tensor algebra offers provably optimal truncated decompositions, while also featuring matrix-mimetic properties. The framework, published in PNAS lnkd.in/dFsNwnt, addresses decades-long open problem lnkd.in/d94b5bc #research #ai #algorithms #algebra #bigdata



