Edge Impulse: On the rise and rise of embedded and edge ML

When ChatGPT was launched, and the seemingly limitless potential of large language models (LLMs) became apparent, enterprises across industry wanted a piece of the action. The problem was: how could an industrial manufacturer, for example, truly integrate this potentially game-changing technology into their processes and machinery?

The answer lies in the application of embedded and edge machine learning (ML). “The core concepts of machine learning are much easier to get to...

MemryX and Edge Impulse collab to advance edge AI development

Brain

Edge AI accelerator firm MemryX has partnered with machine learning development platform Edge Impulse to build and deploy efficient AI models on MemryX’s AI chips.

MemryX says the partnership will strengthen the scalability and flexibility of its chips, allowing AI developers to push models further,

The company’s edge AI chips are used in applications across a range of industries, from robotics and automation to IoT and edge computing. Their high performance, thanks...

Edge Impulse partners with BrainChip for edge AI development

Speed

Machine learning platform Edge Impulse is working with BrainChip again, the edge AI innovator known for its neuromorphic processors.

By combining their offering, users will be able to leverage Edge Impulse’s machine learning platform alongside BrainChip’s powerful Akida chip for edge application deployment. The partnership makes BrainChip the first strategic IP partner for the Edge Impulse platform.

Edge Impulse has added support for the Akida AKD1000 system,...

Edge Impulse adds support for BrainChip neuromorphic AI

BrainChip Akida AKD1000 Processor

Edge Impulse, a platform that enables machine learning at the edge, and neuromorphic AI provider BrainChip have teamed up to allow Edge Impulse projects on the BrainChip MetaTF platform.

Through their cooperation, developers can now use the BrainChip Akida platform to create and train machine learning models that are optimised for and compatible with the spiking neural network (SNN).

For new and existing projects, engineers must use the BrainChip MetaTF model deployment...