Meet Jan Jongboom (CTO) and Jenny Plunkett (Engineer) at Edge Impulse (, a company that makes it easy for developers to work with TinyML using TensorFlow. Edge Impulse has an active developer community (with 50,000 projects and growing!) See two quick demos, with links you can use to learn more. Resources: Edge Impulse → Getting started with any device → Coursera: Introduction to Embedded Machine Learning → Coursera: Computer Vision with Embedded Machine Learning → Speakers: Josh Gordon, Jenny Plunkett, Jan Jongboom Watch all Google’s Machine Learning Virtual Community Day sessions → Subscribe to the TensorFlow channel → #MLCommunityDay product: TensorFlow – General; event: ML Community Day 2021; fullname: Josh Gordon, Jenny Plunkett, Jan Jongboom; re_ty: Publish;
Explore solutions from Google to train and run machine learning models on phones, mobile devices, browsers, and edge devices. Join us as we discuss turnkey API-based solutions for text recognition, NLP, pose detection, translation support, and more. We’ll also examine new, improved features of TensorFlow Lite (TFLite) and walk through a demo. Resources: Deploy machine learning models on mobile and IoT devices → Speakers: Yu-Cheng Ling (Software Engineer), Arun Venkatesan (Product Manager) Watch all Google’s Machine Learning Virtual Community Day sessions → Subscribe to the TensorFlow channel → #MLCommunityDay product: TensorFlow – General; event: ML Community Day 2021; fullname: Yu-Cheng Ling; re_ty: Publish;
One of the promise of IoT is to allow bringing the intelligence of the Cloud to the Edge to run IoT data analytics as close as possible to the data source. This allows to reduce latencies, optimize performance and response times, support offline scenario, comply with privacy policies and regulations, reduce data transfer cost, and more… One thing you really have to consider when bringing Artificial Intelligence to the edge is the hardware you will need to run these powerful algorithms. Ted Way from the Azure Machine Learning team joins Olivier on the IoT Show to discuss hardware acceleration at the Edge for AI. We will discuss scenarios and technologies Microsoft develops and uses to accelerate AI in the Cloud and at the Edge such as Graphic cards, FPGA, CPU,… To illustrate all this, Ted walks us through real life scenarios and demos IoT Edge running Machine Learning vision algorithms. Learn more about hardware acceleration for AI at the Edge: Create a Free Account (Azure):
Dr. Sven Beiker Silicon Valley Mobility, LLD Dr. Maarten Sierhuis Silicon Valley, Nissan North America, Inc. October 17, 2019 Sven Beiker is a Lecturer in Management at the GSB, and the Managing Director of Silicon Valley Mobility, an independent consulting & advisory firm. He covers the electrification, automation, connectivity, and sharing of automobiles through the lens of new technologies and business models. This is reflected in his teaching at the GSB as well as in his professional engagements. Prior to his independent consulting work, he served as an Expert Consultant for mobility topics at McKinsey & Company for 2.5 years. Dr. Beiker is also the former Executive Director of the Center for Automotive Research at Stanford, an industry affiliates program that he launched in 2008 together with Stanford Professors Gerdes, Nass, and Thrun. Before coming to Stanford, Dr. Beiker worked at the BMW Group for more than 13 years. Between 1995 and 2008 he pursued responsibilities in technology scouting, innovation management, systems design, and series development. He primarily applied his expertise to chassis and powertrain projects, which also provided him with profound insights into the industry’s processes and best practices. In addition, he worked in three major automotive and technology locations: Germany, Silicon Valley, and Detroit. Dr. Beiker received his MS (1995) and PhD (1999) degrees in Mechanical Engineering from the Technical University in Braunschweig, Germany. He published various technical papers and holds several patents in the fields of vehicle dynamics and powertrain technology. In this role Sierhuis has oversight [More]
EdGE Networks is an AI and data science focused HR tech startup. Using the steel of artificial intelligence and data science, EdGE Networks join forces to battle your toughest talent acquisition and workforce optimization challenges.
In June 2017, Amplify brought 42 of the world’s boldest thinkers to AMP offices in Melbourne, Sydney, and Auckland to explore ‘the edge of the possible’ across emerging global trends. In this Amplify Talk, hear from Richard Socher (Salesforce – Chief Data Scientist) as he discusses the edge of customer experience through data and analytics. Deep Learning has revolutionized several industries with its state of the art results in speech recognition, image classification and natural language understanding. In this keynote, Socher introduces solutions for visual object classification in images, sentiment classification, automated question answering and marketing analysis, and how these processes can be used to enrich the customer experience.