Edge Computing, Embedded Systems
Physical systems perform machine-learning computations
Cornell researchers are training physical systems to perform machine-learning computations such as identifying handwritten numbers and spoken vowel sounds.
Conversational IoT and AI powered by “chatbots”
Even in industry, branding and personality play a role
Machine learning fine-tunes flash graphene
Rice University scientists are using machine-learning techniques to streamline the process of synthesizing graphene from waste through flash Joule heating.
Technique improves AI ability to understand 3D space using 2D Images
North Carolina State University researchers have developed a technique called MonoCon that is designed to improve the ability to identify 3D objects using 2D images.
Solving big problems via algorithms enhanced by 2D materials
Important optimization algorithms that are designed to solve large-scale problems such as supply chain logistics can be boosted from 2D materials.
Top 5 Control Engineering articles January 3-9, 2022
Articles about embedded systems, automated pressure testing, the 2022 SIY winners, PLCs' role in automation and no-code robotics were Control Engineering’s five most clicked articles from January 3-9, 2022. Miss something? You can catch up here.
Seven tips for implementing machine learning in controls environments
Machine learning (ML) applications are evolutionary by nature, so it is important to understand how they work and keep looking for new ways to apply them to deliver an automation advantage.
The future of manufacturing production is here today
Fully exploit the potential of robotics with AI
Advances in brain-inspired computing
USC Viterbi researchers have developed an efficient and sustainable hardware device for artificial intelligence (AI) and machine learning (ML) applications.
How the AIoT makes factories “smart”
The Artificial Intelligence of Things (AIoT) can integrate different types of data and information to give manufacturers a better picture of how everything works in facilities. See four AIoT factors responsible for smart factory growth.
