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 ...

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 ...

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, ...

Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict ...

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, ...

What are spiking neural networks (SNNs)? Why neuromorphic computing is important. How BrainChip’s Akida platform brings neuromorphic computing to embedded applications. Artificial intelligence and ...

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

Only six years old, Edge Impulse says it’s all about ‘empowering developers to create and optimize solutions with real-world data.’ In practice, Qualcomm seems to be acquiring tools and relationships, ...

Somdip Dey, also known as InteliDey, is the cofounder and Chief Scientist of Nosh Technologies, an MIT Innovator Under 35 (Europe) in AI/Robotics, a Professor of Practice (AI/ML) at the Woxsen ...

Covering one of the fast-growing fields at the intersection of AI and embedded systems, the course will focus on designing efficient ML systems that are optimised for resource-constrained computing ...