Deep Reinforcement Learning

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EurekAlert!

Non-contact detection of post-regurgitation deep inhalation in calves using infrared thermography and deep learning-based nostril segmentation

An Osaka Metropolitan University research team proposed a non-contact approach for characterizing post-regurgitation deep ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Cancer Therapy Advisor

Enhanced LDCT Lung Cancer Prediction Model Combines Clinical Data, Deep Learning

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.
EurekAlert!

New deep reinforcement learning framework could improve eco-driving for hybrid electric vehicles

Researchers have proposed an integrated eco-driving framework for fuel cell hybrid electric vehicles in multi-lane highway ...
ascopubs.org

Deep learning algorithm for accurate diagnosis of oral cancer and precancers.

Assessing mortality trends among patients with lip and oral cavity cancer due to tobacco consumption: A systematic analysis of the Global Burden of Disease-2021.
Science Daily

A geometric deep learning method for decoding brain dynamics

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...
ascopubs.org

Developing a deep learning algorithm for automated p53 immunohistochemistry digital image analysis in prostate cancer.

Characterizing the clinical and genomic features of androgen indifferent prostate cancer. Distribution of manual p53 scores (rows) and automated digital image analysis (DIA) p53 scores (columns) by ...
Ars Technica

How a stubborn computer scientist accidentally launched the deep learning boom

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...