Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

AI analysis of data from multiple sensors can improve earthquake detection

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.
Scientific Research Publishing

Wang, Y.C., Chen, Y., Lan, S.L., Zhu, L.H. and Zhang, Y. (2024) End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey. IEEE Communications Surveys ...

ABSTRACT: Bipolar disorder (BD) affects approximately 45 million individuals worldwide and is characterized by recurrent episodes of mania, hypomania, and depression, with an average diagnostic delay ...
The New York Times

A.I. Replica of Val Kilmer to Appear in Film After His Death

Kilmer’s estate collaborated with the filmmakers to make a digital likeness of the actor, who died of cancer last year. By Reggie Ugwu A photorealistic A.I. likeness of Val Kilmer, the “Top Gun,” ...
Frontiers

Editorial: Deep learning for high-dimensional sense, non-linear signal processing and intelligent diagnosis, vol II

Psychiatry stands at a pivotal turning point shaped by rapid technological advances and pressing clinical demands (1). Mental health disorders, defined by multifaceted etiologies and heterogeneous ...
IEEE

Rethinking Multimodality: Optimizing Multimodal Deep Learning for Biomedical Signal Classification

Abstract: This study presents a novel perspective on multimodal deep learning for biomedical signal classification, systematically analyzing the impact of complementary feature domains on model ...
GitHub

Learn PyTorch for Deep Learning

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
IEEE

Blind Beamforming via Deep Learning-Based Signal Classification and Transfer Learning

Abstract: We propose a new cognitive technique for blind adaptive beamforming which uses a pre-trained deep learningbased signal classifier to protect a signal of interest (SOI) from interference. The ...