"If this condition is met, then do that." Symbolic AI is a subset of machine learning that uses a combination of logical and mathematical processing to reason, make decisions and transform data into a more useful format. Symbolic processes are also at the heart of use cases such as solving...
Symbolic AI, which is a big part of neuro-symbolic AI, is already being used in some really interesting ways. Here are a few real-world examples: IBM Watson: IBM’s Watson helps doctors diagnose diseases and suggest treatments. It does this by comparing patient data to a massive database...
There are many practical benefits to developing neuro-symbolic AI. One of the biggest is to be able to automatically encode better rules for symbolic AI. David Cox "With symbolic AI there was always a question mark about how to get the symbols," IBM's Cox said. The world is ...
2011: IBM’s Watson wins on the quiz show "Jeopardy!" against human champions. 2014: Google acquires DeepMind; later in 2016, AlphaGo beats Go world champion Lee Sedol. Symbolic AI Symbolic AI is an approach to artificial intelligence that uses symbolic representations of problems, logical reason...
Neither deep neural networks nor symbolic artificial intelligence (AI) alone has approached the kind of intelligence expressed in humans. This is mainly because neural networks are not able to decompose joint representations to obtain distinct objects (t
Neurosymbolic AI Explained “Neural networks and symbolic ideas are really wonderfully complementary to each other,” Cox said. “Because neural networks give you the answers for getting from the messiness of the real world to a symbolic representation of the world, finding all the correlations wit...
IBM/LOA Star41 Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games machine-learningreinforcement-learningartificial-intelligenceneuro-symbolicneuro-symbolic-ai UpdatedJul 6, 2023 ...
IBM/LOA Star34 Code Issues Pull requests Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games machine-learningreinforcement-learningartificial-intelligenceneuro-symbolicneuro-symbolic-ai ...
IBM/LOA Star35 Code Issues Pull requests Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games machine-learningreinforcement-learningartificial-intelligenceneuro-symbolicneuro-symbolic-ai ...
It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic ...