Blog Posts

Introducing the EON Tuner: Edge Impulse’s New AutoML Tool for Embedded Machine Learning

Algorithms, Blog Posts, Edge Impulse, Processors, Sensors and Cameras, Software, Tools /

This blog post was originally published at Edge Impulse’s website. It is reprinted here with the permission of Edge Impulse. Today we are excited to announce the launch of Edge Impulse’s new auto machine learning tool, the EON Tuner! The EON Tuner helps you find and select the best embedded machine learning model for your […]

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A Closer Look at LiDAR and Stereovision

Ambarella, Automotive, Blog Posts, Sensors and Cameras /

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Both technologies are used for object detection in autonomous vehicles, but how do they compare? Autonomous vehicles typically deploy multiple sensor systems for environmental perception: LiDAR, radar, and camera modules being the most popular. These sensor systems

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AI Advancements Driving Autonomous Vehicle Ubiquity

Automotive, Blog Posts, Gyrfalcon Technology, Processors /

Advances in Edge Computing Must Innovate for Autonomous Vehicles to Realize Their Potential Large numbers of sensors, massive amounts of data, ever-increasing computing power, real-time operation and security concerns required for autonomous vehicles are driving the core of computation from the cloud to the edge of the network. Autonomous vehicles are constantly sensing and sending

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Case Study: Genetic Screening Using CNNs in PerceptiLabs

Algorithms, Blog Posts, Medical, PerceptiLabs, Software, Tools /

This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. One group of scientists leveraging ML is the Buchser lab at Washington University in Saint Louis School of Medicine in the Department of Genetics. There, Dr. Buchser and his team are working in functional genomics, High-Throughput Screening,

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End-to-end HiL Testing with aiSim to Maximize Coverage

AImotive, Algorithms, Automotive, Blog Posts, Tools /

This blog post was originally published at AImotive’s website. It is reprinted here with the permission of AImotive. The aiSim team adapted the Hardware-In-the-Loop testing approach with a unique spin on the concept that allows for testing complete automated driving systems with live simulated sensor data without any prerecorded footage. In this post, we will

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Building Real-time Dermatology Classification with NVIDIA Clara AGX

Blog Posts, Medical, NVIDIA, Processors, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The most commonly diagnosed cancer in the US today is skin cancer. There are three main variants: melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). Though melanoma only accounts for roughly 1% of all skin

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Intel Smart Edge: Unleashing Services at the Edge

Blog Posts, Intel, Processors, Software, Tools /

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Edge computing is emerging as the next transformational technology across industries—and its rapid growth is only increasing. In fact, Gartner suggests that by 2025, over 75% of data will be created and processed outside centralized data centers.

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Machine Learning Goes Mainstream – NXP’s eIQ ML Software Development Environment Just Got Smarter and Friendlier

Algorithms, Au-Zone Technologies, Blog Posts, NXP Semiconductors, Processors, Software, Tools /

This blog post was originally published by NXP Semiconductors. It is reprinted here with the permission of NXP Semiconductors. Edge intelligence is one of the most disruptive innovations since the advent of the Internet of Things (IoT). While the IoT gave rise to billions of smart, connected devices transmitting countless terabytes of sensor data for

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The Growing Syntiant Core Family

Blog Posts, Processors, Syntiant /

This blog post was originally published at Syntiant’s website. It is reprinted here with the permission of Syntiant. One of my great professional privileges when founding Syntiant’s machine learning stack has been collaborating with a team of electrical engineers in the design, development, verification, and shipping of an ultra-power efficient tensor computation core for Syntiant

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Why Machine Learning is a Powerful Tool, Even Without Data

Algorithms, Blog Posts, Qualcomm, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Combining machine learning and classical algorithms through neural augmentation for combinatorial optimization Machine learning (ML) is transforming industries, improving products, and enhancing everyday life for consumers. You should think of ML as a horizontal technology that will

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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.

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