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Edge AI
ORGANIZATIONS. SHAPING THE INDUSTRY.
Edge Impulse
Machine Learning
AI for any edge device from MCUs, NPUs, CPUs, GPUs, gateways, and beyond.
24 Posts
Latest Posts
Edge computing: a decentralized computing paradigm that processes data closer to the source, reducing latency and enabling more efficient use of resources.
Edge AI is the process of running artificial intelligence (AI) and machine learning (ML) algorithms on computing devices at the periphery of a network, rather than on large cloud servers.
Similar to visual data, collecting and curating sound data that accurately reflects real-world scenarios is a major hurdle in training effective machine learning models.
2 minutes read
Recently we launched new Edge Impulse functionality that shows just one of the powerful ways that LLMs can be utilized on the edge: using GPT-4o to train a 2,000,000x smaller model, that runs directly on device.
4 minutes read
Several factors contribute to the occurrence of retained surgical bodies. One common factor is the hectic nature of surgical environments, where numerous instruments and items are used during procedures.
5 minutes read
The latest large language models (LLMs), like the newly released ChatGPT-4o, are truly astonishing. They are multimodal, meaning they have multiple senses and can interpret text, images, and audio information and respond in a seemingly human-like manner.
3 minutes read
We are proud to announce that synthetic data generation is now available inside the Edge Impulse platform, enabling a new and efficient way to work with LLM-generated images, audio, and voice to enhance your edge AI models.
3 minutes read
Edge AI is the process of running artificial intelligence (AI) and machine learning (ML) algorithms on devices at the network’s edge (periphery), rather than on large cloud servers. In simple terms, edge AI is the fusion of devices and artificial intelligence.
10 minutes read
A deep dive into the convergence of generative AI and edge computing.
Smart manufacturing integrates advanced technologies such as the Internet of Things (IoT), big data analytics, and artificial intelligence (AI) to enhance efficiencies, improve product quality, and gain a competitive advantage.
6 minutes read
Weighing Latency, Privacy, and Scalability to Optimize Your AI Strategy
An engineer's guide to understanding and selecting the right Single Board Computer.
Q&A with Peter Van Der Made, BrainChip Founder and Chief Technology Officer
In this episode of the “This is Our Mission” podcast, Sean Hehir interviews Dr. Eric Gallo, a Senior Principal at Accenture Labs. They discuss the advantages of neuromorphic technology and its impact on edge computing, as well as advancements in SpaceTech.