This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The Newton physics engine and enhanced NVIDIA Isaac GR00T models enable developers to accelerate robot learning through unified OpenUSD simulation workflows. Editor’s note: This blog is a part of Into the Omniverse, a series focused on how […]
Open-source Physics Engine and OpenUSD Advance Robot Learning Read More +
Kevin Weekly, CEO of Think Circuits, presents the “Introduction to DNN Training: Fundamentals, Process and Best Practices” tutorial at the May 2025 Embedded Vision Summit. Training a model is a crucial step in machine learning, but it can be overwhelming for beginners. In this talk, Weekly provides a comprehensive introduction… “Introduction to DNN Training: Fundamentals,
On October 21, 2022 at noon PT, Alliance Member company Qualcomm, along with Amazon, will deliver the free (advance registration required) half-day in-person workshop “PyTorch on the Edge: Amazon SageMaker x Qualcomm® AI Hub” at the InterContinental Hotel in San Francisco, California. From the event page: Seamless cloud-to-edge AI development experience: Train on AWS, deploy
Upcoming Workshop Explores Deploying PyTorch on the Edge Read More +
The companies joined forces to develop sensor fusion based interior sensing for enhanced vehicle safety, launching at the InCabin Europe conference on October 7-9. Rochester, NY – October 6, 2025 – Tobii, with its automotive interior sensing branch Tobii Autosense, together with D3 Embedded, and HTEC today announced the development of an interior sensing solution
This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. The AI hardware landscape is dominated by one uncomfortable truth: most teams feel trapped by CUDA. You trained your models on NVIDIA GPUs, deployed them with TensorRT, and now the thought of switching hardware feels like rewriting
Breaking Free from the CUDA Lock-in Read More +
On October 22, 2022 at 9:00 am PT, Alliance Member company NXP Semiconductors, along with Avnet, will deliver a free (advance registration required) half-day in-person robotics seminar at NXP’s office in San Jose, California. From the event page: Join us for a free in-depth seminar exploring the latest innovations in mobile robotics with a focus
Upcoming Seminar Explores the Latest Innovations in Mobile Robotics Read More +
On November 18, 2025 at 9 am PT (noon ET), the Yole Group’s Tom Hackenberg, principal analyst for computing, will present the free hour webinar “How AI-enabled Microcontrollers Are Expanding Edge AI Opportunities,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Running AI inference at the edge,
Free Webinar Explores Edge AI-enabled Microcontroller Capabilities and Trends Read More +
Xiong Chang, CEO and Co-founder of Tensorfield Agriculture, presents the “Lessons Learned Building and Deploying a Weed-Killing Robot” tutorial at the May 2025 Embedded Vision Summit. Agriculture today faces chronic labor shortages and growing challenges around herbicide resistance, as well as consumer backlash to chemical inputs. Smarter, more sustainable approaches… “Lessons Learned Building and Deploying
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Building off of the blog post here, which shows how easy it is to call the Cirrascale AI Inference Cloud using the Qualcomm AI Inference Suite, we’ll use Google Colab to show the same scenario. In the previous blog
Using the Qualcomm AI Inference Suite from Google Colab Read More +
Rakshit Agrawal, Principal AI Scientist at Synthpop AI, presents the “Transformer Networks: How They Work and Why They Matter” tutorial at the May 2025 Embedded Vision Summit. Transformer neural networks have revolutionized artificial intelligence by introducing an architecture built around self-attention mechanisms. This has enabled unprecedented advances in understanding sequential… “Transformer Networks: How They Work
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