Based on internal R&D efforts, research projects like VEDLIoT and practical applications in a variety of customer cases, Antmicro is constantly working on improving Kenning, its open source framework for creating deployment flows and runtimes for Deep Neural Network applications on embedded hardware platforms. The AI toolkit is now gaining additional flexibility through highly customizable, modular blocks for developing real-time runtimes and automated search for best parameters for the optim...| antmicro.com
Many applications in the wild can be represented as graphs of interconnected nodes, especially when working with sets of modular blocks that can be connected with each other via certain APIs or interfaces. Such use cases are part of the many areas of Antmicro’s day-to-day work, for example:| antmicro.com
Antmicro’s Kenning framework, introduced during our work on the VEDLIoT edge AI research project, is being used in various local AI processing projects to create deployment flows and runtimes for Deep Neural Network applications on a variety of target hardware.| antmicro.com
Development of Machine Learning algorithms which enable new and exciting applications is progressing at a breakneck pace, and - given the long turnaround time of hardware development - the designers of dedicated hardware accelerators are struggling to keep up. FPGAs offer an interesting alternative to ASICs, enabling a much faster and more flexible environment for such HW-SW co-development - and with projects such as the FPGA interchange format, Antmicro has been turning the FPGA ecosystem to...| antmicro.com