AI Digest

AI Queue Length Detection: Counting the Number of People in an Area

AI Queue Length Detection: Counting the Number of People in an Area

AI Queue Length Detection: Counting the Number of People in an Area AI Queue Length Detection: Counting the Number of People in an Area In this article, we will train a deep learning model to detect and count the number of people in a given are …

Targeted adversarial attacks with Keras and TensorFlow – PyImageSearch

Targeted adversarial attacks with Keras and TensorFlow – PyImageSearch

Targeted adversarial attacks with Keras and TensorFlow Targeted adversarial attacks with Keras and TensorFlow - PyImageSearch In this tutorial, you will learn how to perform targeted adversarial attacks and construct targeted adversarial images …

Cameras that can learn

Cameras that can learn

Cameras that can learn Cameras that can learn Intelligent cameras could be one step closer thanks to a research collaboration between the Universities of Bristol and Manchester who have developed cameras that can learn and understand what they …

A radical new technique lets AI learn with practically no data

A radical new technique lets AI learn with practically no data

A radical new technique lets AI learn with practically no data A radical new technique lets AI learn with practically no data "Machine learning typically requires tons of examples. To get an AI model to recognize a horse, you need to show it th …

Matrix Library in C

Matrix Library in C

Matrix Library in C Matrix Library in C A matrix library in the C language that is useful for primary platforms and large data Source: www.codeproject.com/Articles/5283245/Matrix-Library-in-C …

When Do We Trust AI’s Recommendations More Than People’s?

When Do We Trust AI’s Recommendations More Than People’s?

When Do We Trust AI’s Recommendations More Than People’s? When Do We Trust AI’s Recommendations More Than People’s? How marketers can account for consumer biases against algorithms. Source: hbr.org/2020/10/when-do-we-trust-ais-recommendations- …

Using AI to Detect Seemingly Perfect Deep-Fake Videos

Using AI to Detect Seemingly Perfect Deep-Fake Videos

Using AI to Detect Seemingly Perfect Deep-Fake Videos Using AI to Detect Seemingly Perfect Deep-Fake Videos But a Stanford professor says the cat-and-mouse game is far from over. Source: hai.stanford.edu/blog/using-ai-detect-seemingly-perfect- …

The first AI model that translates 100 languages without relying on English data

The first AI model that translates 100 languages without relying on English data

The first AI model that translates 100 languages without relying on English data "When translating, say, Chinese to French, previous best multilingual models train on Chinese to English and English to French, because English training data is the …

Reinforcement learning is supervised learning on optimized data

Reinforcement learning is supervised learning on optimized data

Reinforcement learning is supervised learning on optimized data "The two most common perspectives on Reinforcement learning (RL) are optimization and dynamic programming. Methods that compute the gradients of the non-differentiable expected rewa …

Adversarial images and attacks with Keras and TensorFlow

Adversarial images and attacks with Keras and TensorFlow

Adversarial images and attacks with Keras and TensorFlow Adversarial images and attacks with Keras and TensorFlow - PyImageSearch In this tutorial, you will learn how to break deep learning models using image-based adversarial attacks. We will …

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