This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Working within an ecosystem of innovators and suppliers is paramount to addressing the challenge of building a scalable ADAS solution While the recent sentiment around fully autonomous vehicles is not overly positive, more and more vehicles on […]
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. These neural networks, trained on large volumes of data, power the applications driving the generative AI revolution. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible,
The Building Blocks of AI: Decoding the Role and Significance of Foundation Models Read More +
This blog post was originally published at Ceva’s website. It is reprinted here with the permission of Ceva. In the realm of smart edge devices, signal processing and AI inferencing are intertwined. Sensing can require intense computation to filter out the most significant data for inferencing. Algorithms for simultaneous localization and mapping (SLAM), a type
Oriented FAST and Rotated BRIEF (ORB) Feature Detection Speeds Up Visual SLAM Read More +
At Onit, we’re revolutionizing the efficiency and safety standards in warehouse environments through edge AI and computer vision. Leveraging our state-of-the-art Dragonfly and RTLS (real-time locating system) applications, we address the complex challenges inherent in chaotic and labor-intensive operations. Our Dragonfly technologies are taking workplace safety to new heights with the latest release of Dragonfly
Achieving a Zero-incident Vision In Your Warehouse with Dragonfly Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. In a panel discussion at our annual Snapdragon Summit in the breathtaking setting of Maui, Hawaii, we had the privilege of engaging in a dynamic conversation with four esteemed experts about the democratization of artificial intelligence (AI).
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Explore what LLMs are, why they matter and how to use them. Editor’s note: This post is part of our AI Decoded series, which aims to demystify AI by making the technology more accessible, while showcasing new
AI Decoded: Demystifying Large Language Models, the Brains Behind Chatbots Read More +
Kerry Shih of GenAI Nerds interviews Jeff Bier, Founder of the Edge AI and Vision Alliance, and Phil Lapsley, the Alliance’s Vice President of Business Development, about the opportunities and trends for generative AI at the edge. Shih, Bier and Lapsley discuss topics such as: Where we are in the generative AI hype cycle What
Edge AI and Vision Alliance Conversation with GenAI Nerds on Generative AI At the Edge Read More +
Innovative technology enhances AI-enabled intelligent edge solutions and increases neural networking capabilities CHANDLER, Ariz., April 15, 2024 — Microchip Technology (Nasdaq: MCHP) has acquired Neuronix AI Labs to expand its capabilities for power-efficient, AI-enabled edge solutions deployed on field programmable gate arrays (FPGAs). Neuronix AI Labs provides neural network sparsity optimization technology that enables a
Microchip Technology Acquires Neuronix AI Labs Read More +
April 11 2024 – Las Vegas, Nev. – Visidon was recognized by the Security Industry Association (SIA) as an awardee at the 2024 SIA New Products and Solutions (NPS) Awards, the flagship awards program presented in partnership with ISC West recognizing innovative security products, services and solutions. In video surveillance advanced imaging technologies, Visidon was selected
Visidon Wins SIA NPS Video Surveillance Advanced Imaging Technologies Award Read More +
This blog post was originally published at Ceva’s website. It is reprinted here with the permission of Ceva. Not so long ago, AI inference at the edge was a novelty easily supported by a single NPU IP accelerator embedded in the edge device. Expectations have accelerated rapidly since then. Now we want embedded AI inference
Partitioning Strategies to Optimize AI Inference for Multi-core Platforms Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA
