Edge Computing, Embedded Systems
Navigating the road to sustainability at the edge
Achieving sustainability at the edge looks different for every organization. There are key steps to help narrow down which path to take to reach those sustainability goals.
Improving worker optimization on the factory floor with artificial intelligence
Artificial intelligence (AI) can be used to enhance worker productivity by gathering information about their work performance and turning it into actionable data.
Automation and AI should be embraced, not feared
Artificial intelligence (AI) and automation have raised concerns about humans being replaced by machines in manufacturing, but the truth is they will add better and more meaningful jobs for humans.
Collaborative machine learning preserves privacy
Federated learning is a collaborative method for training a machine-learning model that keeps sensitive user data private.
Software improves AI, automation flexibility
Software-based artificial intelligence (AI) can be used to give robots abilities that allow them to straddle the flexibility gap between small batch manufacturing and high-volume automation.
Improving aircraft design with machine learning
Researchers at Caltech and Harvard have developed a way to use machine learning to further improve the aircraft design process.
Approach to federated learning developed for creating AI models faster
North Carolina State University researchers have developed an approach to federated learning that allows them to develop accurate artificial intelligence (AI) models more quickly.
Technology helps self-driving cars learn from own memories
Cornell University are trying to provide self-driving cars with the ability to create “memories” of previous experiences and use them in future navigation. See video.
A framework for industrial artificial intelligence
Modern technologies enable the application of artificial intelligence (AI) to machine and operational process data to gain better insights.
Engineers build LEGO-like artificial intelligence chip
MIT researchers have developed an artificial intelligence chip that is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.
