Entrepreneur Will Byrne presents the “Overcoming Bias in Computer Vision – A Business Imperative,” tutorial at the May 2018 Embedded Vision Summit. The rollout of computer vision applications – even by some of the world’s most influential tech companies – have been marred by issues of bias against specific groups. Overcoming bias in AI-enabled products […]
Sahil Bansal, Senior Director of Product Management at Qualcomm, presents the “Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms” tutorial at the May 2018 Embedded Vision Summit. Advancements in machine learning are making it possible to equip devices such as connected cameras, robots, drones and smart home solutions with improved on-device vision
Ren Wu, Founder and CEO of NovuMind, presents the “Energy-efficient Processors Enable the Era of Intelligent Devices” tutorial at the May 2018 Embedded Vision Summit. Artificial intelligence is making waves and headlines. New algorithms, applications and companies are emerging fast. Deep-learning-based systems, trained with massive amounts of data using supercomputers, are more capable than ever
Nik Gagvani, President of CheckVideo, moderates the Vision Entrepreneurs’ Panel at the May 2018 Embedded Vision Summit. Other panelists include László Kishonti, CEO of AImotive; Radha Basu, CEO of iMerit; and Gary Bradski, CTO and Co-founder of Arraiy.com, and CEO and Founder of OpenCV.org. What can we learn from leaders of successful vision-based start-ups? The
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Michael Stewart, Proprietor of Polymorphic Technologies, presents the “Implementing Image Pyramids Efficiently in Software,” tutorial at the May 2018 Embedded Vision Summit. An image pyramid is a series of images, derived from a single original image, wherein each successive image is at a lower resolution than its predecessors. Image pyramids are widely used in computer
Miao (Mike) Li, Vice President of IC Engineering at NovuMind, presents the “NovuTensor: Hardware Acceleration of Deep Convolutional Neural Networks for AI” tutorial at the May 2018 Embedded Vision Summit. Deep convolutional neural networks (DCNNs) are driving explosive growth of the artificial intelligence industry. Effective performance, energy efficiency and accuracy are all significant challenges in
Kai Yu, Founder and CEO of Horizon Robotics, presents the “Journey and Sunrise Processors: Leading-Edge Performance for Embedded AI” tutorial at the May 2018 Embedded Vision Summit. As the nature of computation changes from logic to artificial intelligence, there’s a revolution happening at the edge. A new type of processor is required for this post-Moore’s-law
Vikas Chandra, Senior Principal Engineer and Director of Machine Learning at Arm, presents the “Deep Learning on Arm Cortex-M Microcontrollers” tutorial at the May 2018 Embedded Vision Summit. Deep learning algorithms are gaining popularity in IoT edge devices due to their human-level accuracy in many tasks, such as image classification and speech recognition. As a
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Paul Duckworth, Director of Engineering at Twisthink, presents the “Reduce Risk in Computer Vision Design: Focus on the User” tutorial at the May 2018 Embedded Vision Summit. Companies across a wide range of industries are considering ways to apply computer vision to innovate their products and services. With the vast potential of this exciting technology,
Megha Daga, Senior Technical Marketing Manager at Cadence, presents the “Neural Network Compiler: Enabling Rapid Deployment of DNNs on Low-Cost, Low-Power Processors” tutorial at the May 2018 Embedded Vision Summit. The use of deep neural networks (DNNs) has accelerated in recent years, with DNNs making their way into diverse commercial products. But DNNs consume vast
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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