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Machine Learning
AI for any edge device from MCUs, NPUs, CPUs, GPUs, gateways, and beyond.
24 Posts
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.
Imagine an industrial plant where machines autonomously predict maintenance needs and optimize operations. Such efficiency is powered by IoT architecture. This guide breaks down the layers of IoT, from sensors collecting data to intelligent apps providing insights.
In this podcast, Sean Hehir, CEO of BrainChip, chats with Dr. Jason K. Eshraghian about neuromorphic computing benefits over traditional AI and its potential to revolutionize the future of computing. Listen in to learn how this emerging technology is shaping the world of AI.
The future of data, Edge Data Center, is equivalent to a mini data centre. Its proximity to enterprises eliminates latency and other limitations, giving access to real-time data. In this article, we will delve into its core concepts, advancements, operational challenges, and real-time applications.
Explore BrainChip's latest advancements by tuning into Episode 5 of their Quarterly Investor Podcast. CEO Sean Hehir addresses critical topics for shareholders, including the successful Akida space launch, takeaways from the Embedded World Conference, and updates on the Akida Edge AI Box.
4 minutes read
NVIDIA TAO and Edge Impulse integrate to streamline the development and deployment of edge AI models, empowering developers to quickly build and optimize AI applications for diverse hardware environments.
Mohammed Dogar, Vice President, Head of Global Business Development & Ecosystem, and Jeff Sieracki, Director of AI COE, will sit with tech writer Samir Jaber to unpack the Reality AI Tools suite and discuss their impact on Edge AI applications.
