Generative AI (LLMs) has already shown some promise in healthcare and social robotics. In healthcare, it is used to enhance clinical decision-making, ...

There are many different types of consumer applications that use artificial neural networks and machine learning (ML) to function. One of the most famous examples is ChatGPT, which processes natural ...

Through RL (reinforcement learning, or reward-driven optimization), o1 learns to hone its chain of thought and refine the strategies it uses — ultimately learning to recognize and correct its ...

Richard Bowden is Professor of Computer Vision and Machine Learning at the University of Surrey where he leads the Cognitive Vision Group within CVSSP and is Associate Dean for postgraduate research ...

The vendor’s AI Defense package offers protection to enterprise customers developing AI applications across ... autonomously segment their networks when threats are a problem, gain rapid exploit ...

and 123-bus distribution networks. Numerical results indicate that the proposed method successfully coordinates discrete and continuous voltage regulation devices, achieving fewer voltage violations ...

This paper introduces an ensemble convolutional recursive neural network, leveraging deep reinforcement learning to enhance traffic volume forecasting. Firstly, variational mode decomposition is ...

His current interest is reinforcement learning on a tiny scale. He came down to the 2023 Hackaday Supercon to tell us all about his work.

The Coursera Deep Learning Specialization by deeplearning.ai offers notes, assignments, and quizzes for courses like Neural Networks, Hyperparameter Tuning, ML Projects, and CNNs.