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HACARUS launches Kaggle Challenge program!

We are excited to announce that we have started a self-training program for our engineers called "HACARUS Internal Kaggle Challenge" In this program,  every engineer is allowed to spend up to 20% of working hours for a Kaggle competition and this is, so to say, Hacarus version of 20% rule. Needless to say, Kaggle is the world's largest machine learning competition platform and we can find many competitions related to our focused business areas like medical and industrial fields. Participation…

Capturing the first ever image of a Black Hole – How Sparse Modeling made it possible

NEW NOVEL TECHNOLOGY MADE THE IMPOSSIBLE, POSSIBLE When the international Event Horizon Telescope (EHT) projects announced that it had become the first in the world to obtain a picture of a black hole the internet was set ablaze with viral reactions. The image, compiled by the EHT displays a glowing, orange ring (cover page), which is actually the swirling gas created by the gravity field of the black hole – theoretically known, but never before seen.   WHY WERE BLACK…

Machine Learning Meetup KANSAI # 5 Report

Hi! I'm Nozaki, a Data Scientist intern here at Hacarus. I had the pleasure of attending the latest "Machine Learning Meetup KANSAI" on June 17, 2019 and would like to report on the meeting. The “Machine Learning Meetup KANSAI” is a reoccurring event in Kansai where students and professionals meet to share ideas and information with each other on the topic of Machine Learning. This past week’s meetup, the fifth in order, was held at Hatena’s awesome Kyoto offices. The…

What Challenges Does Sparse Modeling Solve?

What Challenges Does Sparse Modeling Solve? The Chronicles of the "LASSO" Representative Algorithm Development & Usage This series introduces a technique called “Sparse Modeling” which can produce good analysis results even if the data set is “small”. The article was written for engineers who want to get started working on machine learning projects and for those who already have experience with deep learning (DL). In this section, we will explain LASSO, a regression analysis algorithm that uses variable selection for…

Sparse Modeling Using HiFive Unleashed (RISC-V)

Greetings, world! My name is Kawano - I'm a data scientist intern here at Hacarus who joined last year November. I'm a master's student who typically spends time doing research by analyzing insect behavior (for the record, I'm an information science major!). As an intern at Hacarus, I work on FPGA (Field Programmable Gate Arrays) projects. Anywho, let's get straight to it- have you ever heard of the RISC-V? I'll be putting in hardware called the Debian into a RISC-V…

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…

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…

My PyCon Indonesia Experience

Recently, I've become active in attending and speaking at PyCon events. This time, I've attended PyCon Indonesia.   The event was held at Kalbis Institute last November 3-4 2018 and it is the second PyCon event in Indonesia since last year. I find it really amazing how they were able to grow the community in such a short amount of time. The topics discussed spanned across multiple topics about Python. The speakers who shared their experiences are a mix of…

Devfest Philippines 2018 Experience

“That’s not possible”. “Not in my lifetime”. “That will be too expensive”. These are some of the words you will usually hear from people when there is a discussion about intelligent systems like artificial intelligence (AI). For most of us, an intelligent system is something that’s too expensive or too advanced. But that was the case years ago. Now, we live in a world where this kind of system is  everywhere. From our smartphones to more complex machines, intelligent systems are…

My PyCon Korea Experience

Last August 18-19, I attended PyCon Korea as a speaker. My expectations were somewhat mixed since it was the first international PyCon I attended. But now, I definitely think it was one of the best conventions I've attended so far. Here are some highlights and things I've learned from the event. The entire event lasted for five days divided into "Sprints", "Tutorials" and the actual 2-day conference. Sprints (Wednesday - Friday) were actual coding sessions leading to contributions to open…