Histopathological Image Analysis using HistoSegNet Vol.1
図6：左：テスト用のパッチ（入力）。中央：パッチに対するGround Truth（ラベル）。右：パッチに対するモデルの予測結果。
Edge AI Evangelist’s Thoughts Vol.6: New Wave computers utilizing FPGA
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 of experience in the semiconductor industry and I will comment on various AI industry related topics from my unique perspective. In volume five of this article series, we talked about the basic structures of FPGAs and about the new non-volatile FPGA devices. Finally, we concluded with a short case study that illustrated the potential of…
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…
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…
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…
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…
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…