Topology-aware deep learning model enhances EEG-based motor imagery decoding

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity ...
eWeek

Types of AI Models: A Deep Dive into AI Architecture

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...
Geeky Gadgets

Machine Learning vs Deep Learning vs Foundation Models

If you are interested in learning more about artificial intelligence and specifically how different areas of AI relate to each other then this quick guide providing an overview of Machine Learning vs ...

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...

Minkang Zhang Enhances Microscopic Image Analysis Through Deep Learning and Intelligent AFM Processing

An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to ...
Scientific Research Publishing

Intelligent Agents in Cybersecurity: Deep Learning to Analyze User Behavior Applying ()

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
eWeek

The Pros and Cons of Deep Learning

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...
The Motley Fool

What Is Transfer Learning?

Transfer learning reuses existing ML models for new tasks, speeding up development and enhancing performance. It reduces data requirements for training ML models on new tasks, facilitating quicker ...