Synective remains dedicated to bringing the best and most skilled consultants in RTL programming and FPGA development to the industry. As the market demands rise and the gap between the skills obtained in the educational systems and the skills required by the industry...
Synective will present our Master Thesis proposals within Embedded Deep Learning at this years Digital Degree Fair @KTH. The Degree Fair takes place on 14 october. Click on the text for more information at the exhibitors page.
Jacob, our master thesis student from KTH, is now in full swing with his project that involves getting an oldschool BRIO Labyrinth game (equipped with two stepper motors) to learn to play by itself. To achieve this, he uses image processing, Kalman filtering and a...
Synective has developed a demo system to showcase the power of embedded FPGA Deep Learning. It was able to classify hand-written digits using nothing but a tiny, low-end FPGA and a camera.
Synective has designed a CNN that is optimized with respect to memory footprint and inference speed. The network is implemented and runs on the ARM processor of the Raspberry Pi.
Synective continually take on thesis workers that improve our embedded Deep Learning system.
The Embedded Conference Scandinavia (ECS) will take place the 6:th and 7:th of November at Kistamässan. Synective Labs will, as always, attend. Be there, or be an equilateral rectangle!
The 2019 Degree Project Fair (Exjobbsmässa) at KTH Kista will take place on Wednesday October 9, 11.30-15.00 in Electrum Atrium (glasgatan). Read more at: https://www.kth.se/blogs/degreeprojectfair/
Join Synective at the "CAN in Space" workshop in Gothenburg the 14:th to 16:th of June. We will be there in cooperation with Kvaser.
Welcome to one of the biggest electronics fairs in Sweden 2019 Synective Labs will present our CAN FD IP portfolio together with Kvaser and Accurate Technologies at this fair. We are also demonstrating Deep Learning on small FPGAs. You are of course also welcome to...