This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. The popularity of convolutional neural network (CNN) models and the ubiquity of CPUs means that better inference performance can deliver significant gains to a larger number of users than ever before. As multi-core processors become the norm, […]
John Lorenz, Market and Technology Analyst for Computing and Software at Yole Développement, delivers the presentation “Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive and Mobile Markets” at the Edge AI and Vision Alliance’s March 2020 Vision Industry and Technology Forum. Lorenz presents Yole Développement’s latest analysis on the evolution of
WhisPro™ speech recognition software for voice wake words and custom command models now available with open source TensorFlow Lite for Microcontrollers implementing machine learning at the edge TensorFlow Lite for Microcontrollers from Google is already optimized and available for CEVA-BX DSP cores, accelerating the use of low power AI in conversational and contextual awareness applications
This article was originally published at MathWorks’ website. It is reprinted here with the permission of MathWorks. 3 Things You Need to Know Object detection is a computer vision technique for locating instances of objects in images or videos. Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results. When humans
What Is Object Detection? Read More +
Wide angle cameras are hot in smartphones, cars, VR and surveillance, for convenience, cost or safety. Turning wide-angle, high-res input into pleasing and usable high-resolution output in real-time depends on a holistic solution with special optics, dedicated hardware and customized software. Recent-release phones have three cameras, for the iPhone 11 a wide-angle lens, a telephoto
Ultra-Wide is Ultra-Hot, and a Lot of Work Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. XGBoost is a widely used machine learning library, which uses gradient boosting techniques to incrementally build a better model during the training phase by combining multiple weak models. Weak models are generated by computing the gradient descent using
Learning to Rank with XGBoost and GPU Read More +
This blog post was originally published at videantis’ website. It is reprinted here with the permission of videantis. In the past decades that I have been developing electronics I’ve heard this a lot: “The algorithms our engineers developed are way beyond what our competition has.” I’ve seen it when developing image enhancement algorithms, I’ve heard
Help, My Algorithms Keep Changing Read More +
Award recognized ON Semiconductor’s excellence in the sensor market Mar. 16, 2020 – ON Semiconductor (Nasdaq: ON), driving energy efficient innovations, announced that it has once again been recognized by China’s IoT Industry Application Alliance for its innovation and excellence in sensor technologies enabling the IoT. The IoT Star Awards – celebrating its 12th year
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Our life is frittered away by detail. Simplify, Simplify, Simplify Henry David Thoreau Significant technological innovations usually follow a well-established pattern. A small group of brilliant minds stumble upon some incredible innovation, which is then quickly adopted
This article was originally published at MathWorks’ website. It is reprinted here with the permission of MathWorks. 3 Things You Need to Know A neural network is a computing model whose layered structure resembles the networked structure of neurons in the brain, with layers of connected nodes. A neural network can learn from data—so it
What Is a Neural Network? Read More +
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