Four Ways AI Is Leveling The Retail Playing Field Versus Amazon

 I’ve been to dozens of retail-related conferences in the past year, most of which were attended by retailers, brands and early-growth companies seeking to gain traction in the retail ecosystem. Over the year, I’ve seen a continuous increase in the number of AI-driven technologies and companies showcasing solutions for retailers. I’ve also observed growing interest … Continue reading Four Ways AI Is Leveling The Retail Playing Field Versus Amazon

What Is an API and Why Should I Use One?

By Tyler Elliot Bettilyon https://tebs-lab.com Have you ever been asked, “Can’t you just use an API for that?” and thought to yourself “What the hell is an API?” Perhaps you started off by Googling “APIs” and quickly found yourself drowning in acronyms, jargon, and unhelpful exposition. Do I need to take a REST or should I … Continue reading What Is an API and Why Should I Use One?

What is the Difference Between a Parameter and a Hyperparameter?

By Jason Brownlee It can be confusing when you get started in applied machine learning. There are so many terms to use and many of the terms may not be used consistently. This is especially true if you have come from another field of study that may use some of the same terms as machine learning, … Continue reading What is the Difference Between a Parameter and a Hyperparameter?

Lenia – Mathematical Life Forms

Lenia (from Latin lenis, "smooth") is a cellular automaton, like Conway’s Game of Life, but with continuous states and continuous space-time. It supports an unexpected (bio)diversity of persistent life forms, each possesses idiosyncratic anatomy and physiology, and exhibits a wide range of behaviors. More than 300 species have been identified, many discovered using human-based evolutionary … Continue reading Lenia – Mathematical Life Forms

GAN Q-learning

H/T: Vincent Boucher Abstract : "Distributional reinforcement learning (distributional RL) has seen empirical success in complex Markov Decision Processes (MDPs) in the setting of nonlinear function approximation. However there are many different ways in which one can leverage the distributional approach to reinforcement learning. In this paper, we propose GAN Q-learning, a novel distributional RL method … Continue reading GAN Q-learning

DeepLesion: a large-scale and diverse CT lesion dataset

DeepLesion is a large-scale and diverse database of lesions in CT images. It was collected based on the bookmarks in the picture archiving and communication system of NIH. Currently, it contains 32,735 lesions from 32,120 axial CT slices of 4,427 patients. It can be used in studies of multi-class lesion detection, retrieval, segmentation, etc.DeepLesion has been released. Download … Continue reading DeepLesion: a large-scale and diverse CT lesion dataset

Gradients for Designers and Artists

Gradient Hunt Gradient Hunt is a free and open platform for color inspiration with thousands of trendy hand-made color gradients. https://gradienthunt.com/?ref=producthunt CSS Gradient CSS Gradient is a happy little website and free tool that lets you create a gradient background for websites. Besides being a css gradient generator, the site is also chock-full of colorful … Continue reading Gradients for Designers and Artists

Move Mirror: An AI Experiment with Pose Estimation in the Browser using TensorFlow.js

By Jane Friedhoff and Irene Alvarado, Creative Technologists, Google Creative Lab https://experiments.withgoogle.com/collection/ai/move-mirror/view/mirrorhttps://github.com/tensorflow/tfjs-models/tree/master/posenet https://storage.googleapis.com/tfjs-models/demos/posenet/camera.html https://js.tensorflow.org Pose estimation, or the ability to detect humans and their poses from image data, is one of the most exciting — and most difficult — topics in machine learning and computer vision. Recently, Google shared PoseNet: a state-of-the-art pose estimation model that provides highly accurate pose data from image … Continue reading Move Mirror: An AI Experiment with Pose Estimation in the Browser using TensorFlow.js

Evolutionary algorithm outperforms deep-learning machines at video games

Neural networks have garnered all the headlines, but a much more powerful approach is waiting in the wings. by Emerging Technology from the arXiv With all the excitement over neural networks and deep-learning techniques, it’s easy to imagine that the world of computer science consists of little else. Neural networks, after all, have begun to outperform … Continue reading Evolutionary algorithm outperforms deep-learning machines at video games

Object Detection with 10 lines of code

By Moses Olafenwa Co-Founder & CEO at AI Commons Global Limited. A self-Taught computer programmer, Deep Learning, Computer Vision Researcher and Developer. One of the important fields of Artificial Intelligenceis Computer Vision. Computer Vision is the science of computers and software systems that can recognize and understand images and scenes. Computer Vision is also composed … Continue reading Object Detection with 10 lines of code

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