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Latest Trends In Non-Volatile FPGAs

Edge AI Evangelist’s Thoughts Vol.5: Latest Trends in Non-Volatile FPGAs

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 let’s talk about the latest trends in the field of non-volatile FPGAs.   NV-FPGA Initiative – Public Symposium On January 8th, 2021, a public symposium was held by Non-Volatile Field-Programmable Gate Array (NV-FPGA) Initiative, one of…

HACARUS held a special lecture at Shiga University

On December 17, 2020, HACARUS' data scientists gave a special lecture to master's students at the Graduate School of Data Science at Shiga University. The Graduate School of Data Science, Shiga University was established in April 2019 with the goal of developing "data specialists with knowledge of multiple fields, connect methodologies and data, and create value", and is the first graduate school in data science in Japan. Data scientists from HACARUS gave the lecture as part of the intensive course…

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…

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…

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 at HACARUS. 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, z). Unlike image and video data, point cloud has a unique characteristic that the data are not arranged regularly at…