A scalable reinforcement learning–based framework to facilitate the teleoperation of humanoid robots

The effective operation of robots from a distance, also known as teleoperation, could allow humans to complete a vast range of manual tasks remotely, including risky and complex procedures. Yet teleoperation could also be used to compile datasets of human motions, which could help to train humanoid robots on new tasks.

The Lazy Lora-Maker’s guide

​ The Lazy Lora mascot! I got my fancy GPU card to make LoRAs…. and then discovered there didn’t seem to be an easy straightforward guide to throwing one together. So, I did what I usually end up doing in this situation, and wrote one myself! ​ https://civitai.com/articles/4789/lazy-lora-making-with-onetrainer-and-ai-generation ​ TL;DR — This “cheats” by making …

The convergence of HPC and AI: Driving innovation at speed  

In today’s rapidly changing landscape, delivering higher-quality products to the market faster is essential for success. Many industries rely on high-performance computing (HPC) to achieve this goal.   Enterprises are increasingly turning to generative artificial intelligence (gen AI) to drive operational efficiencies, accelerate business decisions and foster growth. We believe that the convergence of both …

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Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation

Amazon Rekognition makes it easy to add image and video analysis to your applications. It’s based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily. It requires no machine learning (ML) expertise to use and we’re continually adding new computer vision …

A framework to improve air-ground robot navigation in complex occlusion-prone environments

Robotic systems have so far been primarily deployed in warehouses, airports, malls, offices, and other indoor environments, where they assist humans with basic manual tasks or answer simple queries. In the future, however, they could also be deployed in unknown and unmapped environments, where obstacles can easily occlude their sensors, increasing the risk of collisions.