- Видео 9
- Просмотров 1 617
FPGA Lover
Южная Корея
Добавлен 20 окт 2024
Hello. I am a developer who designs AI hardware at Neurocoms. The AI hardware design I am developing has a completely different computational architecture from other NPUs and TPUs, and boasts high computational efficiency. In this channel, with the consent of Neurocoms, we will provide AI solutions that run high-speed AI even on low-spec FPGA chips for free, and we will also disclose the hardware source code and compare and evaluate the computational efficiency with other solutions. We will provide a new development methodology for AI hardware developers and provide low-cost AI solutions for service designers.
[Short Ver.] 한줌의 곱셈기, 덧셈기들을 연결하여 고속의 AI 칩을 만드는 방법
Summary
- Presented an efficient AI hardware design
• Base architecture: Neuron Machine
• Paper: arxiv.org/pdf/2002.05526
- Design binary available and can be run directly on an FPGA board.
- Hardware source code posted on Github
• github.com/ijcnnanonymous/multipliers_to_ai/
- Development platform available
00:00 intro
01:32 Table of Contents
01:56 Input/Output and Function
02:52 Convolution Neural Network
05:00 Design Methodology
08:12 System Block Diagram
13:10 How It Works
15:53 Summary
더 궁금한 사항은 댓글 또는 아래 메일과 연락처로 연락 바랍니다.
감사합니다.
support@neurocoms.com
- Presented an efficient AI hardware design
• Base architecture: Neuron Machine
• Paper: arxiv.org/pdf/2002.05526
- Design binary available and can be run directly on an FPGA board.
- Hardware source code posted on Github
• github.com/ijcnnanonymous/multipliers_to_ai/
- Development platform available
00:00 intro
01:32 Table of Contents
01:56 Input/Output and Function
02:52 Convolution Neural Network
05:00 Design Methodology
08:12 System Block Diagram
13:10 How It Works
15:53 Summary
더 궁금한 사항은 댓글 또는 아래 메일과 연락처로 연락 바랍니다.
감사합니다.
support@neurocoms.com
Просмотров: 19
Видео
[Short Ver.] How to create a high-speed AI chip by connecting a handful of multipliers and adders
Просмотров 507 часов назад
Summary - Presented an efficient AI hardware design • Base architecture: Neuron Machine • Paper: arxiv.org/pdf/2002.05526 - Design binary available and can be run directly on an FPGA board. - Hardware source code posted on Github • github.com/ijcnnanonymous/multipliers_to_ai/ - Development platform available 00:00 intro 01:27 Table of Contents 01:50 Input/Output and Function 03:01 Convolution N...
[Long Ver.] 한줌의 곱셈기, 덧셈기들을 연결하여 고속의 AI 칩을 만드는 방법
Просмотров 7819 часов назад
Summary - Presented an efficient AI hardware design • Base architecture: Neuron Machine • Paper: arxiv.org/pdf/2002.05526 - Design binary available and can be run directly on an FPGA board. - Hardware source code posted on Github • github.com/ijcnnanonymous/multipliers_to_ai/ - Development platform available 00:00 intro 02:48 Table of Contents 03:37 Input/Output and Function 04:57 Convolution N...
[Long Ver.] How to create a high-speed AI chip by connecting a handful of multipliers and adders
Просмотров 9819 часов назад
Summary - Presented an efficient AI hardware design • Base architecture: Neuron Machine • Paper: arxiv.org/pdf/2002.05526 - Design binary available and can be run directly on an FPGA board. - Hardware source code posted on Github • github.com/ijcnnanonymous/multipliers_to_ai/ - Development platform available 00:00 intro 02:54 Table of Contents 03:44 Input/Output and Function 05:17 Convolution N...
Object detection on AMD Zynq 7020 FPGA
Просмотров 240Месяц назад
1. ai_on_zynq2.zip download link - shorturl.at/h2QKS 2. Board purchase link - neurocoms.com/shop If you have any further questions, please leave a comment or contact us via the email and contact information below. Thank you. support@neurocoms.com
Age/gender recognition on an AMD Zynq 7020 FPGA
Просмотров 558Месяц назад
1. ai_on_zynq.zip download link - shorturl.at/Zdr9d 2. Board purchase link - neurocoms.com/shop If you have any further questions, please leave a comment or contact us via the email and contact information below. Thank you. support@neurocoms.com
Recognizing Animals and Vehicles with AI on AMD Zynq 7020 FPGAs
Просмотров 64Месяц назад
1. ai_on_zynq.zip download link - shorturl.at/Zdr9d 2. Board purchase link - neurocoms.com/shop If you have any further questions, please leave a comment or contact us via the email and contact information below. Thank you. support@neurocoms.com
How to transform your humble FPGA board into a hot AI platform.
Просмотров 175Месяц назад
1. ai_on_zynq.zip download link - shorturl.at/Zdr9d 2. Board purchase link - neurocoms.com/shop If you have any further questions, please leave a comment or contact us via the email and contact information below. Thank you. support@neurocoms.com
(Sub ENG) How to transform your humble FPGA board into a hot AI platform.
Просмотров 527Месяц назад
1. ai_on_zynq.zip 다운로드 링크 - shorturl.at/Zdr9d 2. 보드 구매링크 - smartstore.naver.com/neurocoms 더 궁금한 사항은 댓글 또는 아래 메일과 연락처로 연락 바랍니다. 감사합니다. support@neurocoms.com 031-908-0126
This is insane, is doing it in realtime. Wow.
1. ai_on_zynq2.zip download link - shorturl.at/h2QKS 2. Board purchase link - neurocoms.com/shop If you have any further questions, please leave a comment or contact us via the email and contact information below. Thank you. support@neurocoms.com
1. ai_on_zynq.zip download link - shorturl.at/Zdr9d 2. Board purchase link - neurocoms.com/shop If you have any further questions, please leave a comment or contact us via the email and contact information below. Thank you. support@neurocoms.com
1. ai_on_zynq.zip download link - shorturl.at/Zdr9d 2. Board purchase link - neurocoms.com/shop If you have any further questions, please leave a comment or contact us via the email and contact information below. Thank you. support@neurocoms.com
Thank you for the video. It made me curious how you implemented a neural engine and compiled the machine learning data. Perhaps, can you make videos about it?
Hi, I am the developer of this code. Thank you for your interest. I am currently preparing a video on the technical details and it will be uploaded soon. As it's a bit of a complicated story, so I'm wondering how I can explain it easily.
1. ai_on_zynq.zip download link - shorturl.at/Zdr9d 2. Board purchase link - neurocoms.com/shop If you have any further questions, please leave a comment or contact us via the email and contact information below. Thank you. support@neurocoms.com
구독 박습니다
감사합니다.
영상 감사합니다. 관련 강의는 따로 개설하시는건가요?
안녕하세요. 네 추후에 관련 영상을 계속 업데이트할 예정입니다.
1. [ai_on_zynq.zip] download link - shorturl.at/Zdr9d 2. Board purchase link - [Korea] smartstore.naver.com/neurocoms [Other countries] neurocoms.com/shop If you have any further questions, please leave a comment or contact us via the email and contact information below. Thank you. support@neurocoms.com +82-31-908-0126