Princeton University

In the hallways of Princeton, a fascination with the human mind unlocked the power of deep learning

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

Inside Apple’s quest to add a heart-rate sensor and full workout tracking into AirPods Pro 3

TechRadar had the opportunity to speak with Apple’s Steve Waydo, Director of Health Sensing, and Ron Huang, VP of Sensing and ...
Opinion
Deep Learning with Yacine on MSNOpinion

Local Response Normalization (LRN) in Deep Learning Explained

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...
eLife

Neural Representation of Associative Threat Learning in Pulvinar Divisions, Lateral Geniculate Nucleus, and Mediodorsal Thalamus in Humans

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...
Business Wire

HeartBeam’s Deep Learning Algorithms Demonstrate High Rates of Accuracy for Detecting Arrhythmias

New study presented at HRX Live 2025 demonstrates continued advancement of company’s AI program HeartBeam's AI algorithm performed equally well on HeartBeam 3D ECG system and standard 12L ECGs in ...
Phys.org

DNA-based neural network learns from examples to solve problems

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
IEEE

Robust Adaptive Learning Rate Neural Network State Observer based Fixed-Time Sliding Mode Control of a Permanent Magnet Synchronous Motor

Abstract: This article proposes a robust controller based on fixed-time sliding mode control (FxTSMC) and a neural network to improve the speed tracking control performance of a permanent magnet ...
Frontiers

Effective methods and framework for energy-based local learning of deep neural networks

From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...
Hackaday

Pong Cloned By Neural Network

Although not the first video game ever produced, Pong was the first to achieve commercial success and has had a tremendous influence on our culture as a whole. In Pong’s time, its popularity ushered ...
C&EN

Multimodal Deep Learning for Generating Potential Anti-Dengue Peptides

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Furthermore, stacking neural network approaches have exhibited ...