Deep learning model predicts how individual cells influence disease outcomes

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...
IEEE

Adaptive Fraud Detection in Digital Banking Using Deep Learning: A Hybrid CNN-RNN Approach

Abstract: Financial fraud in digital banking has evolved to a point that is quite complex, meaning that there are greater needs for a more effective and efficient system for detection of financial ...
GitHub

char_rnn_generation_tutorial.py

This tutorials is part of a three-part series: * `NLP From Scratch: Classifying Names with a Character-Level RNN <https://pytorch.org/tutorials/intermediate/char_rnn ...
GitHub

char_rnn_classification_tutorial.py

This tutorials is part of a three-part series: * `NLP From Scratch: Classifying Names with a Character-Level RNN <https://pytorch.org/tutorials/intermediate/char_rnn ...
IEEE

A Survey of Sample-Efficient Deep Learning for Change Detection in Remote Sensing: Tasks, strategies, and challenges

Abstract: In the last decade, the rapid development of deep learning (DL) has made it possible to perform automatic, accurate, and robust Change Detection (CD) on large volumes of Remote Sensing ...
Wall Street Journal

Viral Doomsday Report Lays Bare Wall Street’s Deep Anxiety About AI Future

It doesn’t take much to cause tumultuous stock moves in a market top-heavy with tech shares and jumpy about the prospects for artificial intelligence. But nothing underlines the sensitivity of stocks ...