Robotics

Robotics has come a long way in the past few years. Robots can now fetch items from specific spots in massive warehouses, swim through the ocean to study marine life, and lift 200 times their own weight. They can even perform synchronized dance routines. But the really big question is—can robots put together an Ikea …

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Artificial IntelligenceMachine Learning

A common industry standard for deep learning hardware is the use of neural network quantization, as noted by an MIT study. Neural networks are computation and memory intensive. Quantization cuts down on the usage of these resources by stripping an input of details which won’t gravely affect the information conveyed. As an example, consider image …

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Artificial IntelligenceTechnology

With Artificial Intelligence (AI) increasingly intertwining with human lives, it is also becoming increasingly important to address the ethical aspect of the use of this technology. As we know, human ethics is incredibly subjective and inconsistent. This makes it difficult to embed into some sort of code which AI could follow. In their paper, World …

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Machine LearningProgramming

Google I/O 2019 | Machine Learning on Your Device: The Options Developers have an often confusing plethora of options available to them in using machine learning to enhance their mobile apps and edge devices. This session will demystify these options, showing you how TensorFlow can be used to train models and how you can use …

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CloudMachine Learning

Google I/O 2019 | Live Coding A Machine Learning Model from Scratch Do you want to build a machine learning model, but not sure where to start? In this session, learn how to start with an empty Colab notebook, code a model using TensorFlow and Keras, train the model live, deploy it to Cloud AI …

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Machine Learning

Google I/O 2019 | What’s New in Android Machine Learning Come and find out the latest development of Android on-device machine learning, including Android platform, ML Kit, and TensorFlow Lite. Speakers: Matej Pfajfar‎, Hoi Lam, Dong Chen, Laurence Moroney Session ID: T37BD9 Citi I/O Aster.Cloud DotLAH!

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Artificial IntelligenceMachine Learning

Breakthrough after breakthrough, artificial intelligence (AI) has continued to challenge the human definition of impossible. Our lives and AI technologies are intertwining further as time goes on. For us, this means a more convenient life aided by this technology. At the same time though, this means that we are making ourselves vulnerable to the consequences …

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CloudDataDevOps

Google Cloud Next 2019 | Game Sessions Google Cloud Next 2019 | How to Make Enterprise Search More Effective with Google Cloud Search Are you considering Enterprise Search? Are you looking for a solution to help improve your organizational effectiveness (findability)? Google Cloud Search offers a single search experience for all default G Suite sources …

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CloudDevelopment

Google Cloud Next 2019 | Game Sessions Google Cloud Next 2019 | Multi-Cloud Kubernetes: Formulas for Success More and more enterprises have adopted multi-cloud strategies with Kubernetes; however, are they truly ready for multi-cloud? We will show why consistency is important to maintaining velocity when adopting multi-cloud. Speaker(s): Dustin Kirkland, Justin Santa Barbara, Twinkle Desai …

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Artificial IntelligenceProgramming

Google I/O 2019 | AI for Mobile and IoT Devices: TensorFlow Lite Imagine building an app that identifies products in real time with your camera or one that responds to voice commands instantly. In this session, you’ll learn how to build AI into any device using TensorFlow Lite, and no ML experience is required. You’ll …

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