Year: 2020

Importance of TinyML

Introduction Tiny Machine Learning (TinyML) [1] is, unsurprisingly, a machine learning technique but this technique is often utilized in building machine learning applications, which require high performance but have limited hardware. a tiny neural network on a microcontroller with really low power requirements (sometimes <1mW). Figure 1: Tiny ML, the next AI revolution [5] TinyML is …

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Machine Learning with AWS Recognition

What is AWS Recognition? Amazon Recognition is a service that makes it easy to add powerful, image and video-based, visual analysis to your applications. Recognition Image lets you easily build powerful applications to search, verify, and organize millions of images. Recognition Video lets you extract motion-based context from stored or live stream videos and helps …

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[Hiring]Lead / Senior Data Scientist in Vietnam

We are looking for Lead / Senior Data Scientist in Vietnam (Team work experiences and Leadership experiences) If you want to join in exciting and challenging projects, MTI Tech could be the next destination for your career. Contact Please contact below mail. recruitment@mti-tech.vn MTI Technology specializes in creating smart mobile contents and services that transform and …

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[Hiring] 2 more Data Scientist

We are looking for Data Scientist in HCM, Vietnam now. (Senior, Middle , Leader Level) If you or your friends are interested with Data Scientist, Please check below Job Description!! We have many projects of business and also have many project style for outsourcing/offshoring, research etc. Job Description for Data Scientist https://www.linkedin.com/jobs/view/2279641602/ Hiring Data Scientist …

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Implementation for Adversarially Constrained Autoencoder Interpolation (ACAI)

Introduction Autoencoders provide a powerful framework for learning compressed representations by encoding all of the information needed to reconstruct a data point in a latent code. In some cases, autoencoders can “interpolate”: By decoding the convex combination of the latent codes for two data points, the autoencoder can produce an output that semantically mixes characteristics …

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Pytorch part 1: Introducing Pytorch

Pytorch is a deep learning framework and a scientific computing package The scientific computing aspect of PyTorch’s is primarily a result PyTorch’s tensor library and associated tensor operations. That means you can take advantage of Pytorch for many computing tasks, thanks to its supporting tensor operation, without touching deep learning modules. Important to note that …

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