@tgchinanews · Post #585 · 2020. 08. 27. AM 04:54
Raspberry Pi Zero 型态的 ZYNQ 7010 FPGA SoC SBC https://www.cnx-software.com/2020/08/25/zynqberryzero-brings-xilinx-zynq-7010-fpga-soc-to-raspberry-pi-zero-form-factor/ #这不消费电子#FPGA#RPi
Bot API was updated to version 6.4 Forums • Bots can now open, close, edit and toggle the visibility of the General Topic. • Added support for new service messages, like ForumTopicEdited, GeneralForumTopicHidden and more. • The method sendChatAction can now send actions to any thread or topic via the message_thread_id parameter. Spoilers • Added spoiler detection via the new has_media_spoiler field in the Message class. • Bots can send media covered by a spoiler animation via the has_spoiler field in sendPhoto, sendVideo and sendAnimation. Web Apps • Added a native QR scanner popup, controllable via showScanQrPopup and closeScanQrPopup. • Web Apps launched from the attachment menu can request clipboard text via readTextFromClipboard. • Added a platform field, showing which platform the web app is being used on. General • Added the is_persistent field, to keep ReplyKeyboards open by default. See the full changelog for details on the official website. #update#BotAPI https://t.me/+VMLgtEPNL49jZmNh
검색: #fpga
@tgchinanews · Post #585 · 2020. 08. 27. AM 04:54
Raspberry Pi Zero 型态的 ZYNQ 7010 FPGA SoC SBC https://www.cnx-software.com/2020/08/25/zynqberryzero-brings-xilinx-zynq-7010-fpga-soc-to-raspberry-pi-zero-form-factor/ #这不消费电子#FPGA#RPi
@githubtrending · Post #15271 · 2025. 11. 05. PM 12:30
#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite
@githubtrending · Post #15220 · 2025. 10. 14. PM 01:00
#verilog#cocotb#embedded#fpga#iss#risc_v#rtl#verilator#verilog#vpn#vproc#wireguard This project creates an open-source, hardware-based WireGuard VPN using an affordable FPGA board, making fast and secure VPNs more accessible. Unlike slow software VPNs or costly proprietary hardware, this FPGA design runs WireGuard encryption and packet processing at near wire speed without needing a PC host. It uses common tools and languages (SystemVerilog, open-source FPGA tools) and includes a soft CPU for control tasks and hardware logic for data encryption and routing. This means you get a faster, more efficient, and customizable VPN solution that is open and affordable, ideal for learning, development, or deployment in cost-sensitive environments. https://github.com/chili-chips-ba/wireguard-fpga