The customer, an automotive manufacturer, needed an automation solution for the palletization and depalletization of large ABS parts. They decided on a solution where one vision-guided robot operates both processes.
The customer, an automotive manufacturer, needed an automation solution for the palletization and depalletization of large ABS parts. They decided on a solution where one vision-guided robot operates both processes.
Danny Shapiro, the Vice President of Automotive at NVIDIA discusses the challenges, breakthroughs, and vision that are propelling autonomous vehicles into the next era.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
The customer, an automotive manufacturer, needed an automation solution for the palletization and depalletization of large ABS parts. They decided on a solution where one vision-guided robot operates both processes.
Danny Shapiro, the Vice President of Automotive at NVIDIA discusses the challenges, breakthroughs, and vision that are propelling autonomous vehicles into the next era.
In this episode, we talk all about connectomics - the study of animal brains - and how researchers at MIT have started leveraging AI to break through the primary bottleneck: brain image acquisition.
Artificial intelligence methods show researchers the way to improved manufacturing processes for highly efficient solar cells - a blueprint for other research fields
Silicon-level security is crucial in protecting the hardware of computing devices, serving as a foundational layer for data integrity and system reliability in our increasingly digital world.
Taking inspiration from the word-predicting large language models, a U-M team is kickstarting an atom-predicting model with 200,000 node hours on Argonne’s Polaris.
MIT CSAIL researchers combine AI and electron microscopy to expedite detailed brain network mapping, aiming to enhance connectomics research and clinical pathology.
A new ETH study compares 27 humanoid robots with humans and comes to the conclusion that while robots have better components, they are still not capable of achieving as much. However, according to the authors of the study, the machines are catching up.