   ​ Stay updated with DagsHub’s latest podcast, EU AI Act insights, active learning pipeline tips, case study, and platform enhancements for August 2023.​ ​ Hello and welcome to the August edition of Pawesome Updates! We’ve been hard at work here at DagsHub to bring you some exciting developments in the world of machine learning and …
 In the last decade we have seen more robotics innovation becoming real products and companies than in the entire history of robotics. Furthermore, the greater Silicon Valley and San Francisco Bay Area is at the center of this ‘Cambrian Explosion in Robotics’ as Dr Gill Pratt, Director of Robotics at Toyota Research Institute described it. …
SVR Guide to Robotics Research and Education 2023 Read More »
 Welcome to the third edition of Robo-Insight, a biweekly robotics news update! In this post, we are excited to share a range of new advancements in the field and highlight progress in areas like motion, unfamiliar navigation, dynamic control, digging, agriculture, surgery, and food sorting. A bioinspired robot masters 8 modes of motion for adaptive …
   ​ Learn how the new version of MLflow supports logging experiments of Large Language Models​ ​ The rapid development of Large Language Models (LLMs) like Chat GPT, LLAMA 2, and Falcon has revolutionized the Data Science world and introduced a new concept: ×´Prompt Engineering×´ Prompting involves using input text or questions to guide LLMs in …
LLMOps: Experiment Tracking with MLflow for Large Language Models Read More »
 A study found that adding legs does more for you than having a good sense of the ground around you − if you’re a mobile robot.  Getting a leg up from mobile robots comes down to getting a bunch of legs. Georgia Institute of Technology By Baxi Chong (Postdoctoral Fellow, School of Physics, Georgia …
Mobile robots get a leg up from a more-is-better communications principle Read More »
   ​  Girish Venkataramani, Senior Director, ML Accelerators at Cruise, gave this presentation at the Computer Vision Summit. Hello, everyone. I’m really glad I made it here. I think that a really good topic to talk about today is transportation. But before we get to that, let’s all acknowledge where we are in this AI …
How AI is driving the future of autonomous vehicles Read More »
   ​  From utilizing deep learning in tracking devices to help manage sleep routines in infants to computer vision-driven retail stores, AI has found its way into every possible industry sector. This article will cover a couple of highlights in which despite its risks and challenges, AI is transforming society. First up: Education.  Education and …
Transforming industries and everyday life with AI applications Read More »
   ​ You’ve probably never heard of “16Shop,” but there’s a good chance someone using it has tried to phish you. Last week, the international police organization INTERPOL said it had shuttered the notorious 16Shop, a popular phishing-as-a-service platform launched in 2017 that made it simple for even complete novices to conduct complex and convincing phishing …
Karma Catches Up to Global Phishing Service 16Shop Read More »
   ​  Innovative manufacturers are beginning to harness the potential of Artificial Intelligence (AI), particularly a machine learning niche termed deep learning, for machine vision endeavors. While machine vision systems, comprising both hardware and software, are not novel, their advantages are profoundly evident in sectors like automotive, pharmaceutical, electronic manufacturing, and food and beverage that …
How deep learning enhances computer vision in modern manufacturing Read More »
   ​ With the release of Data Engine, DagsHub has made it easier to create an Active Learning Pipeline. This tutorial shows how to create one for an image segmentation model using COCO 1K​ ​ An end-to-end active learning pipeline is something many struggle with. Even large companies with experienced data science teams run into issues. …
Tutorial: Build an Active Learning Pipeline using Data Engine Read More »
