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Sparse Modeling with SPRESENSE

Hello, I’m Kishimoto! I’m an Edge Engineer intern who has been working at Hacarus for quite some time now. Last year, Sony released an Arduino IDE supported, high-performance board computer called, SPRESENSE, which I’ll be talking about today! SPRESENSE is an Arduino-compatible edge device loaded with a high-performance CPU. Using the SPRESENSE, I wanted to test its capabilities for edge machine learning, which is often difficult to achieve due to the low computing power of edge devices. In recent years, the…

Machine Learning and Data Science Spring Camp 2019

Nice to meet you! I'm Ippei. From March, I became a Data Scientist under training of Hacarus's collaborative Data Scientist training program with Datamix. I currently study daily, and as a part of their program, I recently attended their Machine Learning/Data Learning Spring Camp at Osaka University's Center for Mathematical Modeling and Data Science. Let me tell you a little bit about what I learned below:   About the Machine Learning/Data Learning Spring Camp Machine Learning/Data Scientist Spring Camp (2019),…

Sparse Modeling For IT Engineers

Using Sparse Modeling in AI: A Human Centric, Explainable Approach

This post introduces a technique called "Sparse Modeling" that can produce good analysis results, even if the amount of data is small. The article was written for engineers who want to start on machine learning and for those who have already experience with deep learning. Note: The original version of this article was published in Japanese on Codezine.jp: 機械学習プロジェクトにおける課題と、スパースモデリングに期待が高まる背景 Introduction The field of machine learning and particularly deep learning, based on data acquisition and collection of information through the cloud…

Image recognition on the iPhone using machine learning with CoreML

Hi, my name is Matsuyama, and I work at Hacarus. Today I write about how to use Vision and CoreML, which was a hot topic at the last WWDC. This time, I created an application that displays a label and confidence level for identified objects. I used models provided by Apple and a custom model converted to ML model from Caffe using Python.  Here is how it looks like. What is Vision Framework? Vision framework performs face detection, text detection,…

Release of spm-image : Python library for sparse modeling

We’ve released spm-image, Python library for sparse modeling and compressive sensing, in our GitHub. Its latest version includes k-SVD, which is one of popular dictionary learning algorithms, ADMM implementation of Lasso and ZCA whitening for preprocessing. We’ve created example notebooks as well so that you can get to know how to use this library.The basic concept of this library is as follows Implements sparse modeling and compressive sensing algorithms Depends on scikit-learn only Compliant with module and interface structure of scikit-learn as much…