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Company Profile LeapMind Inc. / Careers-short(EN)

87e7029951a152ac6c68cde8463e68c5?s=47 LeapMind Inc.
December 25, 2020

Company Profile LeapMind Inc. / Careers-short(EN)

87e7029951a152ac6c68cde8463e68c5?s=128

LeapMind Inc.

December 25, 2020
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  1. LeapMind Inc. Company Introduction 2021.7

  2. To create innovative devices with machine learning and make them

    available everywhere MISSION 2 Company Established Capital Main Investors Employees LeapMind Inc. 2012.12.25 2,587 million yen (Including capital reserver) (As of March 31 2020) Itochu Technology Ventures, Intel Capital, Mitsui & Co., Ltd., Toyota Motor Corporation, SBI 65 Corporate Profile
  3. As a Series C About 3.5 billion JPY of funds

    raised 2019.10 2020.4 Keynote speaker at COOL Chips23 Ultra low power AI inference accelerator IP official launch「Efficiera®」for commerce 10 3 2012.12 Established LeapMind Corporation (formerly AddQuality Corporation) DeLTA-Lite released, "DeLTA-Project" announced 2018.4 Launch of the Efficiera FPGA Partner Program Blueoil, a software stack for quantization neural networks, released as open source software 12
  4. 4 Since its inception, we are providing services and products

    that are unique to the practical application of machine learning. From LeapMind's Inception to the Present Practical applications of machine learning technology Joint Development Operation Extremely low bit quantization Commercial IP OSS 2012創業 2018 2019 2020 Embedded DL development web service
  5. 5 Focus on edge deep learning LeapMind mainly has been

    collaborating with the number of projects in the field of image recognition of "deep learning" which is the element technology of AI.In particularly, we are focusing on research and development of edge deep learning, which allows deep learning to run on edge devices. AI Machine Learning Neural Network Deep Learning Edge Deep Learning
  6. 6 Expansion of the Edge Deep Learning Market As it

    is expected that the number of IoT devices steadily increases and the amount of data they handle explodes in the next few years, thus the market for edge deep learning is also expected to expand Global IoT Device Number and Forecast (Billion units)
  7. Advantages of Edge Deep Learning Edge deep learning has advantages

    not found in cloud or GPU-based inference processing. It is expected to be used in situations where real-time responses are required even in the network environment is not stable or personal information is handled. Independent from bandwidth, latency and reliability of Internet connection Reduces security risks as no external transmission is required Reduces costs of uploading data and using cloud 7
  8. 8 The Strengths of LeapMind Ultra low power AI inference

    accelerator IP Efficiera Knowledge gained from many projects & support system We are developing our business with our original weight reduction technology for deep learning models, the dedicated circuit design and leveraging the knowledge gained from collaboration with more than 150 companies. Quantization technology in deep learning
  9. • Extreme quantization reduces logic and memory usage. • Channel

    doubling technique can recover accuracy. 9 One of the methods of weight reduction for deep learning models, "quantization" that has been pushed to the limit. It leads to solutions for edge deep learning issues such as computational complexity. Extremely Low Bit Quantization
  10. 10 Extremely Low Bit Quantization Applying extremely low bit quantization

    techniques to deep learning models can significantly reduce model size while maintaining accuracy. Significantly compresses the model size Minimal accuracy degradation
  11. Confidential: Internal 11 LeapMind has developed Efficiera based on the

    knowledge gained from the collaboration of machine learning projects with more than 150 partners, as well as research and development including "extremely low bit quantization". The New Standard for Edge AI Efficiera is an ultra-low power AI inference accelerator that can be implemented on an FPGA device or ASIC/ASSP device, and is specialized for CNN inference operations. Efficiera addresses various technical challenges including power consumption, cost, and heat dissipation, enabling the rapid introduction of on-device edge AI products to the market.
  12. 12 LeapMind's deep insight about deep learning Since the beginning

    of edge AI era, we have focused our hardware and software research efforts into model weight reduction, dedicated circuit design, and building the knowledge needed to deliver full-package solutions. Energy Efficient Features of Efficiera High Performance Small Footprint Scalable By minimizing the volume of data transmitted and the number of bits, the power required for convolution operations is reduced. By reducing the arithmetic logic complexity, the number of operation cycles is reduced and the arithmetic capacity per area/clock rate is improved. By minimizing the number of operated bits, the circuit area and SRAM size per arithmetic logic unit are minimized. Since the computing performance can be fine-tuned by adjusting the circuit configuration, it is possible to optimize the configuration and maximize the performance of Efficiera according to the task being performed.
  13. Efficiera Use Case Higher Image Resolution 13 High-Quality Video Streaming

    Improved Quality of Captured Images Privacy Masking Deterioration Inspection Monitoring at Nursing Facilities Counting of Large Crowds Proximity Danger Detection
  14. We implemented Efficiera on EIZO's DuraVision EVS1VX, the visibility-enhancing system,

    and completed a joint performance evaluation for the construction of an edge AI system. Joint performance evaluation confirms Efficiera can deliver practical performance EIZO's visibility-enhancing system Board DDR SDRAM SoC FPGA DDR Ctlr CPU On-chip Memory Peripherals Efficiera® By taking advantage of the small footprint of Efficiera, one of its many features, it is possible to utilize the free space of the FPGA that is already installed in the DuraVision EVS1VX to achieve deep learning functions, without adding to or changing the hardware. It contributes to overall system cost reduction by achieving a single chip with FPGA 14
  15. 15 More than 150 projects and more LeapMind has joint

    research and development projects with many companies
  16. Driving support technology 16 Classification of Non-defective / defective product

    Automatic control support for drones Automatic detection of scratches and cracks Danger detection by surveillance camera Foreign object detection Use cases Experience in joint development with partners in a wide range of industries
  17. 17 JAXA:GIDLIE(Micro Smart Cameras for Space) Realization of the best

    selfie of the space plane Submit © JAXA Score the spacecraft selfies taken by the camera module with deep learning, and send back the only highest-scoring photos to Earth Project Cases
  18. 18 Maekawa Manufacturing: Meat Processing Robot Working on a joint

    development project for a cut positioning function using deep learning that will be included in a new model under development. Reduce misalignment of cut positions with deep learning Project Cases
  19. 19 Engine er Resear cher Busines s develop ment Back

    office Members of LeapMind • 60% of members are engineers or researchers Engineer Researcher Business development Back office • Flex system and flexible work style • Close relationship between board member and employees. Office United State of America Japan England India Malaysia Mongolia Russia Taiwan China Thailand Vietnam Poland 1 9 • Members come from 12 countries • English and Japanese is used interchangeably, and meetings are often in English • Female employees play active roles at every layer and the positions of the organization including managers, researchers, and engineers. Tech venture Diversity Flexibility
  20. Board Member 20 CEO Soichi Matsuda In 2011, he launched

    a matching service for engineers and clients based on engineering skill visualization, which was expanded to Singapore, and got his business acquired. He founded LeapMind to create a platform of "compact and simple" deep learning technologies that is easily accessible to anyone, thereby contributing to our society and advancing the world. CTO Hiroyuki Tokunaga He completed his master's program at the University of Tokyo Graduate School of Information Science and Engineering in 2007. Prior to becoming a Director and the CTO of LeapMind in 2018, he worked for Yahoo Japan Corporation, Preferred Infrastructure, Inc., and Smart News, Inc. Chief Research Officer & Chief Scientist Atsunori Kanemura, Ph.D. He received the Ph.D. in Informatics from Kyoto University, Japan. He has held positions at research institutions both in Japan and overseas, and his publications include more than 50 papers, 100 presentations, and a tutorial at AAAI, a flagship academic conference on artificial intelligence. Dr. Kanemura joined LeapMind as an Executive Officer and the Chief Research Officer in 2018 to show the future of intelligent machines embedded in various places of our society. VP of Business Katsutoshi Yamazaki Born in 1970. He holds a master's degree from Keio University and has held business management positions in semiconductor and IP manufacturing in Japan, the U.S. and Europe. He joined LeapMind in 2020 and is responsible for the Efficiera business.
  21. 21 How Our Engineers Work At LeapMind, our engineers are

    experts in their respective fields. While each team has a different development flow, a common thread throughout the company is the presence of the Design Doc. We also host regular events for engineers, such as Office Hour and Engineer MeetUp. Design Doc A document that describes what, why and how to make each project Office Hour Employee-sponsored study sessions where they can learn about deep learning and other various topics with in-house experts Engineer MeetUp Event featuring talk sessions from CTO/VPoE, LT from engineers, Q&A and more HackDays A event which allows you to hack a variety of things using your knowledge and the company's resources, whether it's developing something you love, trying something you've always wanted to do, or teaming up with different people to work on something different. The HackDays blog is also posted: https://leapmind.io/blog/2019/09/03/hackdays-2019-3q/
  22. 22 Business Interview We have posted employee interviews on our

    website. Please check it. https://leapmind.io/careers/ A good culture of encouraging commitment to following through a whole project. Researcher, Noise Reduction Team, Model Development Group, Efficiera Division Joel Nicholls Got inspired by courage of the team of LM to take on great visions. Engineer, Business Development Team, Commercialization Group, Efficiera Division Lily Tiong I want to contribute making society a place to enjoy diversity with Efficiera Takuya Wakisaka I want to contribute changing people's lifestyle with Efficiera General Manager, Efficiera Division Katsutoshi Yamazaki Efficiera Product Owner, Efficiera Division Employee Interview
  23. From time to time, we consider introducing a new system

    depending on phases! 1 on 1 We conduct individual meetings to encourage open communication and to support employee growth 23 Benefits and System At LeapMind, we are working on creating a system to support employees’ various work-styles Work Style Flexible work-styles such as flex system, remote work, and "refresh" leave Free Drinks Mineral water and coffee on the house Development Environment Support to improve the development environment, such as the supply of 4K monitors, laptops and high-back chairs Education Support Support for necessary expenses to improve skills, such as for taking Coursera courses and purchasing books Office Event Social gatherings and barbecues to share information and invigorate communication among all employees Welcome Japan Package This is an attempt to support those who wish to join LeapMind from abroad. (Currently, we are not hiring from abroad)
  24. Confidential: Internal LeapMind is taking thorough countermeasures to prevent the

    spread of COVID-19 infections in Japan 24 Countermeasures for COVID-19 Work From Home Recommendations Over 80% of our members are working from home. We use Google meet and Slack for job communication and meetings Allowance for Work From Home In addition to the monthly work from home allowance, there is also a ”Remote Work Device Support” subsidy for equipment used in remote work Introduction of a Full-Flex System Full-flexible system with no core time, allowing you to work at your own pace Hosting In-House Events Remotely Organize online events, such as onboarding orientation, company wide meetings, HackDays and DL Office Hour (As of July 2021, subject to change depending on the situation of COVID-19) Interviews are basically conducted online only. Also, we are unable to project new recruiting from abroad for the time being, however, we have relocation support (Welcome Japan Package) to welcome new members from overseas. We would be very much appreciated if you could consider us again when we resume overseas recruitment!
  25. 25 Example of Machine Learning Engineer Interview Process Document Screening

    Coding Test & Engineer Interviews (2-3 times) Offer Hiring Committee All interviews and tests are conducted online.
  26. WE’RE HIRING We have created an environment where everyone can

    work equally regardless of age, gender, nationality, or race. We, at LeapMind, want to work with someone who wants to make the most of their abilities and skills and also who can respect diversity. Our backgrounds aside, we all share a common goal. To create innovative devices with machine learning and make them available everywhere We are doing the most exciting things right now at LeapMind. Would you like to join us in achieving LeapMind’s vision? https://leapmind.io/careers/