Quantum machine learning nears practicality as partial error correction reduces hardware demands

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
eLife

Learning-Associated Flexibility of Cortical Taste Coding Is Impaired in Shank3 Knockout Mice

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...
Analytics Insight

Professional Certificate in AI & Machine Learning, Purdue University

AI and ML are the driving forces behind various industries across the globe. The Professional Certificate course of Purdue ...
Devdiscourse

Online sentiment toward ChatGPT shows strong wave of skepticism

The predominance of negative sentiment aligns with early public reactions to transformative technologies, where concerns about privacy, job loss, misinformation and ethical boundaries often amplify ...
IEEE

Optimized Ensemble Learning for Semantic Segmentation of Satellite Imagery Using DeepLabV3+ and UNet With PSO and Cross-Dataset Evaluation

Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...
IEEE

Ensemble Machine Learning-Based Intrusion Detection System for Securing the Internet of Things

Abstract: With the rapid growth of smart devices, IoT networks have become an essential part of our daily lives, but they're also increasingly vulnerable to cyberattacks. Traditional intrusion ...