Symbolic AI's adherents say it closely follows the logic of biological intelligence and analyzes symbols to arrive at intuitive conclusions.

In a breakthrough for artificial intelligence (AI) and finance, computer scientists from Texas A&M University have developed a machine learning based method called Symbolic Modeling to handle ...

March 19, 2021 — Lawrence Livermore National Laboratory (LLNL) computer scientists have developed a new framework and an accompanying visualization tool that leverages deep reinforcement learning for ...

Machine learning classifier accelerates the development of cellular immunotherapies Date: March 15, 2024 Source: German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ) Summary ...

Beyond performance, the framework breaks new ground in its unification of symbolic reasoning and statistical learning.

The study provides both the theoretical foundations and empirical evidence for a new family of machine learning (ML) methods that not only compete with but outperform state-of-the-art statistical ...

MicroAlgo's classifier auto-optimization technology significantly reduces computational complexity through deep optimization of the core circuit.