AI Lab

Edge AI Evangelist’s Thoughts Vol4: Why is the Apple M1 processor so fast?

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.   Today, I would like to talk about the M1 processor by Apple, which is used in Apple's various products - including MacBook Pro, MacBook Air, and Mac mini announced in November 2020. Many professionals have already…

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…

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, a data scientist at HACARUS. In order to develop machine learning algorithms, we need to know how to finalize…

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…

Sparse Modeling Study Sessions: A Convex Optimization Approach to LASSO – What is the Convex Optimization Problem?

In this article, Takahiro Suzuki, a data scientist at HACARUS explains the convex optimization problem covering all the basic terms you need to understand it. 0. Introduction My name is Takahiro Suzuki, data scientist in the HACARUS Tohoku team. As mentioned in a previous blog,  HACARUS has started study sessions to learn more about sparse modeling as part of our everyday business. The Sparse Modeling Study Sessions are contributing to the promotion of mutual knowledge exchange among HACARUS members -…

A peek inside our Sparse Modeling Study Sessions

With a combined total of more than 30 full-time employees and interns, our data science team continues to grow, each bringing unique expertise and perspectives. Sparse modeling, which HACARUS core technology is built on, is so diverse that individual differences in knowledge and skills have emerged within our team. In order to complement each other, we have started study sessions to learn more about sparse modeling as part of our everyday business we call these "The Sparse Modeling Study Sessions"…

Evaluation of Human Part Segmentation using the Jetson Nano Developer Kit

In this article, Daisuke Takahashi, a data scientist at HACARUS explains the process of Human Part Segmentation using a high performance edge device; the Jetson Nano Developer Kit.   What is the Jetson Nano Developer Kit? The Jetson Nano is a purpose built edge device by NVIDIA that allows for GPU based operations in a light and cost effective package. Much like a standard computer it allows you to run various applications. For this use case we installed a Linux…