IIT Madras Pravartak Opens Admissions For Applied AI And Deep Learning Course

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...
Hosted on MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
GitHub

Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection

Great thanks to the contributors for the nice reproduction and integration. Anomalib is a comprehensive library for benchmarking, developing and deploying deep learning anomaly detection algorithms.
Live Science

Satellites detected strange gravity signal coming from deep within Earth almost 20 years ago, study reveals

Researchers have discovered there was an anomaly in Earth's gravitational field between 2006 and 2008, potentially caused by a mineral shift deep within Earth's mantle. GRACE satellites detected a ...
IEEE

A Hierarchical Probabilistic Deep Learning Approach for Contextual Anomaly Detection in Mixed-Type Tabular Data

Abstract: A contextual anomaly is a subtype of anomaly that, when observed in isolation, may not have the characteristics of an anomaly but becomes one when observed within a given context. Contextual ...
IEEE

Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey

Abstract: The rapid expansion of data from diverse sources has made anomaly detection (AD) increasingly essential for identifying unexpected observations that may signal system failures, security ...
Scientific Research Publishing

Liu, Y., Ma, X., Bailey, J. and Lu, F. (2021) Anomaly Detection in IoT Using Deep Learning. IEEE Internet of Things Journal, 8, 9547-9560.

ABSTRACT: The rapid proliferation of the Internet of Things (IoT) and Industrial IoT (IIoT) has revolutionized industries through enhanced connectivity and automation. However, this expansion has ...
GitHub

MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning (ICCV2025)

This software is a research prototype, solely developed for and published as part of the publication MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot ...