For example, Q-learning, a classic type of reinforcement learning algorithm, creates a table of state-action-reward values as the agent interacts with the environment.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Deep Learning Q&A: What’s Coming Next With Francois Chollet. ... But tuning things manually is really the job of an algorithm, not a human. So, over the next few years, ...

Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study. The Lancet Digital Health , 2022; 4 (9): e657 DOI: 10.1016/S2589 ...

Recently, Shaila Niazi, a third-year doctoral student in Çamsari’s lab, achieved a significant breakthrough in that effort, becoming the first to use probabilistic hardware to train a deep generative ...