Below is a curated list of machine learning development providers that stand out in 2026 for their ability to build enterprise-grade ML solutions tailored to complex business environments.

The Company will demonstrate how its AI-based neural input technology interprets neural signals to control digital devices using touchless finger movements At the Summit, the Company will showcase its ...

Qeexo spun out of Carnegie Mellon University, has for a long time developed multi-touch technology for handset manufacturers which does ML on the device level. It has applied this approach to a new ...

Embedded-systems designers are on a mission to squeeze powerful AI algorithms into resource-constrained gadgets, relying on cutting-edge custom hardware accelerators and high-level synthesis to push ...

The partnership will transform the development process from concept to production for embedded machine learning in micropower devices. Eta Compute and Edge Impulse have announced that they are ...

MarkLogic Corporation, the next generation data platform provider for simplifying data integration, announced Embedded Machine Learning and other features in the latest versions of the ...

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 ...

Microchip Technology today announced it has partnered with Cartesiam, Edge Impulse and Motion Gestures to simplify ML implementation at the edge using the company’s Arm Cortex-based 32-bit ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...