Biology-inspired brain model matches animal learning and reveals overlooked neuron activity

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
IEEE

DDoS Attack Detection in IoT: A Comparative Resource and Performance Analysis of Deep Learning and Machine Learning Models

Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...
Scientific Research Publishing

Multimodal Digital Phenotyping for Bipolar Disorder: Robust Mood-State Classification and Early Relapse Risk Monitoring ()

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Devdiscourse

How AI and digital twins are redefining infrastructure resilience under climate stress

Digital twins began as static digital models used primarily for visualization and design. The review shows that they have ...
Carnegie Mellon University

Blending Humanistic Inquiry and Technology, Carnegie Mellon Leads a New Era of Cultural Study and Research

Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
SpaceNews

Key antenna in NASA’s Deep Space Network damaged

The 70-meter antenna, designated DSS-14, at the Deep Space Network site in Goldstone, California. Credit: NASA WASHINGTON — One of the largest antennas in NASA’s Deep Space Network was damaged in ...
The New York Times

This visualization tool worked for a 14-year NBA veteran. You can try it, too

Harrison Barnes used a visualization tool to help him improve. Illustration: Dan Goldfarb / The Athletic; Logan Riely / NBAE / Getty Images Editor’s note: This story is part of Peak, The Athletic’s ...
GitHub

PyTorch Machine Learning Models Created by Claude Code

A deep learning project implementing a ResNet-based Convolutional Neural Network for classifying food images from the Food-101 dataset. This project demonstrates state-of-the-art computer vision ...