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HOW LIDAR IN ARKIT IS SHAPING AUGMENTED REALITY

It’s no secret that Apple has embraced the cutting-edge technology of augmented reality (and why shouldn’t they?) with its ARKit platform. One of the key technologies that powers ARKit is LiDAR, which stands for Light Detection and Ranging. In past blog posts, we’ve explored ARKit and LiDAR technologies separately, but today we discuss how together they unlock endless possibilities HOW LIDAR IN ARKIT IS SHAPING AUGMENTED REALITY

THE EMERGING MARKET OF WEBAR

As explained in a previous blog, WebAR (Web-based Augmented Reality) is an exciting new technology that enables users to experience augmented reality content directly from their web browser, without the need for a separate app or software installation. There are several WebAR platforms available on the market, each with its own strengths and weaknesses. In addition to reiterating THE EMERGING MARKET OF WEBAR

UNDERSTANDING YOUR NEURAL NETWORK – PART 4: CLOSING THOUGHTS ON MACHINE LEARNING

You made it to the Neural Network series finale! It’s been a fascinating journey, but there’s still work to be done and questions to answer. So saddle up, grab a drink, and let’s jump right in. The Jupyter notebooks mentioned throughout can be found here. Experiment 1-1: Less Filters It’s often the case that clients want UNDERSTANDING YOUR NEURAL NETWORK – PART 4: CLOSING THOUGHTS ON MACHINE LEARNING

UNDERSTANDING YOUR NEURAL NETWORK – PART 3: MACHINE LEARNING EXPLAINED

How Useful is Feature Visualization? Welcome back! This post marks Part 3 in our ongoing series on neural understanding, where we work through a practical example with some representative techniques in order to understand what and how a neural network has learned.  While Part 2 walked through a sample problem, this post contains a collection of results UNDERSTANDING YOUR NEURAL NETWORK – PART 3: MACHINE LEARNING EXPLAINED