Classification is a complicated process that looks incredibly simple on the surface. Find out why classification matters in machine learning.

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 ...

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 ...

Traditional quantum classifiers can theoretically leverage the advantages of quantum computing to accelerate machine learning tasks, but they still face numerous challenges in practical applications.

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

The resulting classifier could identify tumor reactive T cells from TILs with 90% accuracy, works in many different types of tumor, and accommodates data from different cell sequencing technologies.

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