Google DeepMind has added Agentic Vision to Gemini 3 Flash, enabling active image exploration through Python code execution ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

Large language models (LLMs) have shown remarkable generalization capability with exceptional performance in various language modeling tasks. However, they still exhibit inherent limitations in ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

Abstract: The increasing complexity of modern software sys- tems has led to a rise in vulnerabilities that malicious actors can exploit. Traditional methods of vulnerability detection, such as static ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation when suddenly the AI seems to lose track of the different ideas you have ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and other biological networks look the way they do. The prevailing theory held ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...