Before starting Sensinode, he led wireless Internet networking research at the Centre for Wireless Communications and at the Technical Research Center of Finland. He is an active investor and advisor for tech startups, including CubiCasa (PropTech), Augumenta (AR), Petasense (Industrial IoT) and Walkia Lighting (LED lighting). Zach was the co-founder and CEO of the Micro:bit Foundation and the co-founder of Sensinode, acquired by Arm in 2013, where he acted as CEO and CTO. Prior to this, he served in a number of roles at Arm, including VP of developers, VP of marketing, and director of technology for IoT. Zach is a former Arm VP, founder and CEO of the Micro:bit Foundation and Sensinode, active in several of his portfolio companies, and is working to bring ML to any embedded device as co-founder and CEO of Edge Impulse. Zach is an entrepreneur, angel investor and technologist in the embedded space with a passion for TinyML, embedded and Internet engineering. Consequently, innovators and adopters in data science, machine learning, AI engineering and IoT solutions will uncover new techniques that enable the training and inference of AI and ML models to be faster, more cost-efficient, and still maintain high levels of performance and accuracy.Ĭonsequently, you will be ahead of the latest innovations across the ML technology stack enabling you to make informed decisions about strategic partnerships on who to partner with to optimize AI on the cloud and at the edge.
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The Software for AI Optimization Summit will demonstrate how to deploy and integrate the latest novel software optimization tools into AI/ML workflows. Increasing the competitiveness of products in the crowded edge device and IoT markets.
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Learning how to benchmark, deploy, and use these tools, as well as scrutinizing existing real-world use-cases is business-critical because these tools disrupt the AI market by: Its AI Structure (another smart filter) boosts clarity without making the picture too sharp, prevents texture and colors from being overburned.
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However, recently there have been new products developed by the AI start-up and research communities that operate at the software level in the machine learning technology stack, which reduce training length, inference time, energy consumption and memory usage of AI and machine learning (ML) models. This pro photo software provides AI Skin & Portrait Enhancer for neutralizing undesired skin spots, with the natural elements, like hair, texture and freckles, preserved. AI optimization and acceleration so far has mostly been driven by novel hardware innovations.
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