Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

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 ...

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

We as an industry need to stop looking for "AI SMEs" and start looking for "mission strategists with AI literacy." ...

When managing associate Tanya Sadoughi found a recurring problem in the banking and finance practice, she put her newfound ...

WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China actually work together on AI research.

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation ...

This means an AI system could gradually become less helpful, more deceptive, or even actively harmful without anyone ...

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