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Text-Conditioned Image Generation on FashionMNIST using CLIP Latents by Matthew Nguyen
Promotional videos are great, but what is the real deal taking a robotic dog to the field? Our goal is to find out what a commodity robotic dog can add to their set of tools, what it can actually accomplish in the field, and what fundamental
ChatGPT is never shy at pretending to perform deep thought, but — like our brain — might need additional tools to reason accurately “ChatGPT can make mistakes. Check important info.” is now written right underneath the prompt, and we all got used to
by Matt Nguyen Open World Object Recognition on the Clothing MNIST Dataset Computer vision systems were historically limited to a fixed set of classes, CLIP has been a revolution allowing open world object recognition by “predicting which image and
by Uri Soltz Google’s Open World Localization Visual Transformer (OWL-ViT) in combination with Meta’s “Segment Anything” has emerged as the goto pipeline for zero-shot object recognition — none of the objects have been used in training the
by Streck Salmon There are a myriad of robotic arms, but very few choices when it comes to robotic grippers, particularly those with built-in force control and perception. This article explores the outer and inner workings of the MAGPIE gripper
Building a Vision Transformer Model From Scratch by Matt Nguyen The self-attention-based transformer model was first introduced by Vaswani et al. in their paper Attention Is All You Need in 2017 and has been widely used in natural language
Since the introduction of mass production in 1913 assembly lines are still mostly human — humanoids might change this Henry Ford is known as the father of mass production, streamlining the production of his “Model T” enabling cars to be widespread
How to leverage large language models for robotic grasping and code generation Grasping and manipulation remain a hard, unsolved problem in robotics. Grasping is not just about identifying points where to put your fingers on an object to create
Humanoids might finally solve the “brownfield” problem that plagues robotic adaptation, and recent breakthroughs in multi-modal transformers and diffusion models might actually make it happen. Not a week goes by without a flurry of humanoid