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 ...

Machine vision and embedded vision systems both fulfill important roles in industry, especially in process control and automation. The difference between the two lies primarily in image processing ...

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 ...

Building on its growing momentum in the market for hybrid transactional/analytical database management systems, Oracle Corp. today added machine learning capabilities ...

Talk to your friends and family about “machine vision” and you might get strange looks, possibly followed by a discussion about a movie they saw where robots become self-aware and dangerous.

Understanding the different definitions and uses of vision and manufacturing systems can be a challenging ordeal, sometimes leading to complications when customers ask for the systems to be imbedded ...

The Embedded Machine Intelligence Lab at ASU is integrating AI into wearable technology to both personalize and assist in the monitoring of users' health and safety. The lab aims to create complex and ...

When an online order reaches your doorstep, it’s imperative that the packaging holds up during shipping. That’s why CMD Corp. implements next-level automation technologies in the design and build of ...

Software that builds virtual instruments from graphical icons is migrating out of the test lab and into embedded control. A virtual instrument (VI) at its simplest consists of a circuit board that ...

Hypervisors and virtual machines (VM) are finding homes in embedded systems. They provide isolation, allowing multiple applications and operating systems to take advantage of multicore hardware that’s ...