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Hacarus @ PyCon Taiwan 2019

This year Hacarus sponsored PYCON Taiwan as part of our ongoing engagement with with PYCON community, below follows a conference report written by Ninz Eclarin, one of our Engineers at the Manila Development Center.   I've been to some PyCon events in Asia before, but PyCon Taiwan strikes some awesome distinction. I mean, who can say no to a great selection of food and drinks provided at the venue? Unlimited MilkTea for the win! But aside from the awesome food, PyCon…

Participating in Amazon’s Workshop: Introduction to Amazon EC2 F1 Instances

Hey there! I’m Maeda, one of Hacarus’s FPGA interns. Just like the title says, I joined the course called Amazon EC2 F1 Instance.  In this report, I’ll explain what I learned point-by-point. So, what's an F1 Instance?  The F1 Instance is a compute instance with Field Programmable Gate Arrays, abbreviated as FPGA. The F1 instance (Formula 1, includes Xilinx Virtex UltraScale+ VU9P) is an EC2 (Elastic Compute Cloud) equipped with FPGA.  In FPGA, users can program the logic functions that…

Sparse Modeling with the Jetson Nano Developer Kit

Hello! My name is Kishimoto. I’m an engineer intern at Hacarus. I’m going to be checking out NVIDIA’s high power board computer, the Jetson Nano, a highly reviewed Edge AI board and recent topic in the tech world. The Jetson Nano is a high-performance edge device with 4 Core Arm CPU (Central Processing Unit) and 128 CUDA Core. Using the CUDA Core, I'm going to be trying the Lasso Regression technique. 1. Jetson Nano’s Development Environment Developed by NVIDIA, Jetson…

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…

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…

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…