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Explaining the Explainable: Translating “Interpretable Machine Learning” into Japanese

Hello, everyone! I'm Ryuji Masui, Data Scientist at HACARUS R&D center in Tokyo. HACARUS has been solving problems in the medical and manufacturing industries using our "Lightweight & Explainable AI" technology. In fact, we are regularly holding internal study sessions on this topic. In these sessions, we've been using "Interpretable Machine Learning - A Guide for Making Black Box Models Explainable" written by Christoph Molnar as reference. This book covers a wide range of topics related to Explainable AI with…

Edge AI Evangelist’s Thoughts Vol2: NVIDIA Ampere takes advantage of deep learning sparsity

Hello everyone, I’m Haruyuki Tago, Edge Evangelist at HACARUS Tokyo R&D Center. In this series of articles, I will share some insights from my decades long experience in the semiconductor industry and comment on different AI industry related topics from my unique perspective. You can read the Vol1 of the series by clinking the link. Today, I would like to talk about NVIDIA Ampere. In May 2020, NVIDIA unveiled some new products such as the NVIDIA Ampere architecture and its product…

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Edge AI Evangelist’s Thoughts Vol3: AMD’s acquisition of Xilinx

Hello, I’m Haruyuki Tago, Edge Evangelist at HACARUS Tokyo R&D Center. In this series of articles, I will share some insights from my decades long experience in the semiconductor industry and comment on different AI industry related topics from my unique perspective. You can read the Vol1 and Vol2 of the series by clinking the links. Today, I would like to talk about the big news, which is the acquisition of Xilinx from semiconductor maker AMD [1] [2]. I will…

MI X Sparse Modeling Vol.1: RDKit & Lasso By HACARUS

Material Informatics x Sparse Modeling Vol.1: RDKit and Lasso

Hello everyone. This is Unseo, a data scientist here at HACARUS - today I will introduce some of our latest work in bringing our technology to bear in the field of Material Informatics. HACARUS provides solutions that emphasize "why?" of the process utilizing sparse modeling, in addition to "prediction" that has been performed by conventional machine learning. Analysis using sparse modeling is also very suitable for application in the fields of drug discovery and material development. Today, I would like…

Point Cloud Denoising with Sparse Modeling

Hi! I'm Yushiro Yamashita, a data scientist intern for HACARUS. I’m a student and I study plasma simulation at graduate school. HACARUS provides various AI services using sparse modeling. Today, I will like to introduce the application of sparse modeling to point cloud data.  Point Cloud I want to first start by introducing what point cloud is. Point cloud is a three-dimensional data in which the coordinate values of each point are recorded in a format such as (x, y,…

Edge AI Evangelist’s Thoughts Vol1: Is NVIDIA’s acquisition of Arm going to propel RISC-V?

Hello, I'm Haruyuki Tago, Edge Evangelist at HACARUS Tokyo R&D Center. In this series of articles, I will share some insights from my decades long experience in the semiconductor industry and comment on different AI industry related topics from my unique perspective. Since this is the first time, I'll start by introducing myself. In 1977, I joined the semiconductor division of Tokyo Shibaura Electric Co. and was involved in the design and development of the Emotion Engine, the CPU in…

New Automatic Parameter Tuning feature in SPECTRO

Customers can now try the beta version available in SPECTRO Cloud SPECTRO’s flexibility to deal with different inspection objects comes from the ability to tune inspection model parameters to determine the way that SPECTRO looks at the target and how strict or tolerant it treats detected anomalies or defects. Finding the right parameters can be a time consuming task, but with our new auto-tuning feature SPECTRO can autonomously help customers find suitable parameters for an inspection task - significantly reducing the…

Hyperspectral Imaging and Sparse Modeling – Practical Experiments

This is Ryuji Masui, Data Scientist at HACARUS. In this article, I'm going to focus on how to apply Sparse Modeling to Hyperspectral Imaging, a technology HACARUS has strong interest in. Hyperspectral Image Let's start off by explaining what Hyperspectral Images (HSI) are. Normal cameras that are familiar to us are called RGB cameras, based literally on the three primary colors of light: red, green, and blue. Such cameras sense each wavelength to capture images. In simpler terms, by mixing…

Digital Imaging and Communications in Medicine(DICOM) Annotation using Computer Vision Annotation Tools(CVAT)

TL;DR - CVAT was used as an annotation tool for medical AI development - CVAT was adjusted to be compatible to read DICOM - A class to read in DICOM was added to cvat/apps/engine/media_extractors.py - Some features that will be useful in real projects, such as default label settings were also added 1. About CVAT Hello, my name is Yuya Sumie, an intern at HACARUS. In order to develop machine learning algorithms, we need to know how to finalize the…

Human Pose Estimation Experiment

Today's blog will be delivered by Yoshinobu Ogura, Data Scientist at HACARUS. Hello, my name is Yoshinobu Ogura, and I am a HACARUS Data Scientist. In this article, I will be using deep learning to estimate human skeletal structure - known as "Human Pose Estimation". About Human Pose Estimation The final goal aim of this article is to create a baseline for Human Pose Estimation. Human Pose Estimation is a technique to model the human skeleton from images, which is…