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Amazon SageMaker Now Supports TensorFlow 2.0

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You can now use this container on SageMaker, and take advantage of many advanced capabilities, such as building models using the SageMaker SDK in managed notebooks, hyperparameter tuning, and distributed training. You can also bring your own container for custom models by building off our base containers. Click here for more information on using TensorFlow with SageMaker, and here to see an example notebook of starting a job with Tensorflow 2.0.


TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers: Pete Warden, Daniel Situnayake: 9781492052043: Amazon.com: Books

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The goal of this book is to show how any developer with basic experience using a command-line terminal and code editor can get started building their own projects running machine learning (ML) on embedded devices. Who Is This Book Aimed At? To build a TinyML project, you will need to know a bit about both machine learning and embedded software development. Neither of these are common skills, and very few people are experts on both, so this book will start with the assumption that you have no background in either of these. The only requirements are that you have some familiarity running commands in the terminal (or Command Prompt on Windows), and are able to load a program source file into an editor, make alterations, and save it.


City of the Future: Elon Musk and Jeff Bezos - Supply Chain Today

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Both Elon Musk and Jeff Bezos are creating the future. Reminds me of the follow quote: "The best way to predict the future is to create it." These are great videos for anyone to watch. Lots of great discussion that pertains to supply chain.


Walmart welcomes robot takeover with devices that fulfill grocery orders and scan aisles

Daily Mail - Science & tech

Walmart is embracing a robot takeover in order to compete with Amazon. The Arkansas-based firm is using robots to fulfill grocery orders in one of its Supercenters and is set to add shelf-scanning machines to 650 additional stores by the end of the summer. The shift is aimed at reducing costs, improving store performance and gaining credibility in its battle against to reign supreme as the king of retail. Walmart announced it would soon incorporate automated robotic carts, called Alphabots, in one of its superstores in Salem, New Hampshire in 2018. Walmart is using robots to fulfill grocery orders in one of its Supercenters and is set to add shelf-scanning machines (pictured) to 650 additional stores by the end of the summer.


Efficient Second-Order Online Kernel Learning with Adaptive Embedding

Neural Information Processing Systems

Online kernel learning (OKL) is a flexible framework to approach prediction problems, since the large approximation space provided by reproducing kernel Hilbert spaces can contain an accurate function for the problem. Nonetheless, optimizing over this space is computationally expensive. Not only first order methods accumulate $\O(\sqrt{T})$ more loss than the optimal function, but the curse of kernelization results in a $\O(t)$ per step complexity. Second-order methods get closer to the optimum much faster, suffering only $\O(\log(T))$ regret, but second-order updates are even more expensive, with a $\O(t 2)$ per-step cost. Existing approximate OKL methods try to reduce this complexity either by limiting the Support Vectors (SV) introduced in the predictor, or by avoiding the kernelization process altogether using embedding.


Efficient Second Order Online Learning by Sketching

Neural Information Processing Systems

We propose Sketched Online Newton (SON), an online second order learning algorithm that enjoys substantially improved regret guarantees for ill-conditioned data. SON is an enhanced version of the Online Newton Step, which, via sketching techniques enjoys a running time linear in the dimension and sketch size. We further develop sparse forms of the sketching methods (such as Oja's rule), making the computation linear in the sparsity of features. Together, the algorithm eliminates all computational obstacles in previous second order online learning approaches. Papers published at the Neural Information Processing Systems Conference.


Life 3.0: Being Human in the Age of Artificial Intelligence: Max Tegmark: 9781101970317: Amazon.com: Books

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"Anyone who wants to discuss how artificial intelligence is shaping the world should read this book. Tegmark, a physicist by training, takes a scientific approach. He doesn't spend a lot of time saying we should do this or that, and as a result, Life 3.0 offers a terrific baseline of knowledge on the subject." Tegmark successfully gives clarity to the many faces of AI, creating a highly readable book that complements The Second Machine Age's economic perspective on the near-term implications of recent accomplishments in AI and the more detailed analysis of how we might get from where we are today to AGI and even the superhuman AI in Superintelligence. . . . At one point, Tegmark quotes Emerson: 'Life is a journey, not a destination.'



From Our Friends at Olin - Building a Better Algorithm for Online Shopping Choices - ITEN

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January 9, 2020 – Check out how two Washington University researchers' debate resulted in winning the Olin Award which "recognizes scholarly research that has timely, practical applications for complex business management problems". Dennis Zhang and Jake Feldman's research was focused on machine learning and customer choice modeling (respectively) to create a better algorithm for online shopping choices. In the end, they combined their approaches into a new mathematical model for presenting product choices to customers which resulted in 28% higher revenue per visit providing $22M marginal increase in a week's time for Chinese online retail giant Alibaba. Guess what, Alibaba adopted the new algorithm! Congratulations to Zhang and Feldman on your Olin Award and job well done!


Gartner's top 10 strategic predictions for 2020

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Technology is creating ever-changing expectations for people, and Gartner's top predictions for 2020 reflect these new challenges. The predictions were revealed at the Gartner IT Symposium/Xpo 2019 in Orlando, which runs through October 24. More than 9,000 IT leaders and CIO's are in attendance at the conference. "Technology is changing the notion of what it means to be human," said Daryl Plummer, distinguished vice president and Gartner Fellow. "As workers and citizens see technology as an enhancement of their abilities, the human condition changes as well. CIOs in end-user organizations must understand the effects of the change and reset expectations for what technology means."