Somdip is the Chief Scientist of Nosh Technologies, an MIT Innovator Under 35 and a Professor of Practice (AI/ML) at the Woxsen University. As a leader in the artificial intelligence (AI) domain and a ...

SAN JOSE, Calif.--(BUSINESS WIRE)--SiMa.ai, the machine learning company delivering solutions for the embedded edge, today launched Palette Edgematic, a free visual development environment designed ...

Edge intelligence has been a key theme in the world of embedded systems for the last few years, but with the heightened awareness and proliferation of generative AI, there was a lot more attention to ...

From surveillance and access control to smart factories and predictive maintenance, the deployment of artificial intelligence (AI) built around machine learning (ML) models is becoming ubiquitous in ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...

Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...

TAIPEI, Taiwan--(BUSINESS WIRE)--Rugged embedded computer brand—Cincoze has launched two new series of GPU embedded computers that overcome harsh environmental challenges, meet various application ...

A new microcontroller claims to offer hardware-assisted machine learning (ML) acceleration for the Internet of Things (IoT) and industrial applications such as smart home, security surveillance, ...

Hot on the heels of launching the Dragonwing suite of products to represent its industrial and embedded internet of things (IoT), networking and cellular infrastructure solutions, Qualcomm ...

How deep learning enhances rule-based machine vision in quality and process control inspection applications. How edge learning compares to deep learning in machine-vision applications. Which ...