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AVBytes: AI & ML Developments this week – IBM’s Library 46 Times Faster than TensorFlow, Baidu’s Massive Self-Driving Dataset, the Technology behind AWS SageMaker, etc.

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In recent times, one of the more popular themes in the machine learning world has been regarding computational power. As the amount of data collected continues to rise unabated, organizations are lagging behind as their hardware is not up to scratch. But the big tech giants like IBM, Google and Amazon are working on products that can handle gigantic data using smaller computation power.

We, at Analytics Vidhya, are covering these developments, along with all other major stories in the ML world on AVBytes! We provide links to official research papers so you can deep dive into the theory behind the technology. We also provide links to the source code on GitHub so you can replicate it (and even improve it!) on your own machine.

In the past week, we saw the big names grabbing the headlines – Amazon unveiled the technology behind it’s AWS SageMaker, IBM developed a library that ran the same model on the same data 46 times faster than TensorFlow, Baidu open sourced it’s massive self-driving dataset, SAS developed a ML model to rank the best places to live, etc.

Scroll down to view all the articles from last week. Also, Subscribe here to get AVBytes delivered directly to your inbox daily!

 

Below is a round-up of all the happenings in the last week. Click on each title to read the full article.

  • IBM’s Machine Learning Library is 46 Times Faster than TensorFlow!: IBM’s new library has blown TensorFlow out of the water! Running a logistic regression model on the same dataset (4.2 million training examples and 1 million variables), they achieved similar results but 46 times quicker than TensorFlow! Read more about this library and get the link to the official research paper inside.

 

  • Amazon Unveils the Technology Behind the AWS SageMaker: Want to build ML models without having to worry about limited computation recources? Amazon’s SageMaker is the answer! Yesterday, the company has also unveiled the technology that powers SageMaker. Read all about it here.

                                                      Source: inasight

  • Google is Using Deep Learning to Make Computers Better with Age!: Our devices slow down and wear out as they age, it can’t be helped. Or can it? Google might have a solution! Using deep learning, they’re aiming to make our machines actually improve with age! Check out the details + the official research paper link inside.

The above AVBytes were published from 19th to 25th March, 2018.

This week was full of exciting developments. We can’t wait to use Baidu’s massive dataset and are eagerly anticipating more details from IBM about their Snap ML library. What excited you the most in the ML world in the past week? Let us know in the comments below.

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