Real-Time Sensor and Image Analysis with Edge Machine Learning

We offer advanced machine learning techniques that can run on the edge, enabling real-time and accurate analysis of sensor and image data, utilizing IoT-to-Cloud communications to automate data collection and model training in the cloud. Read more  Data collection...

FPGA Drop-in Replacement

Background The shortage of semiconductor components has become a significant problem for many companies. In particular we see a trend in the field of FPGAs, where some vendor’s products can be challenging to purchase. Lead-time stretching to 12 months and more while...

Chalmers and Synective Labs Launch FPGA Project Course

Synective Labs and Chalmers University of Technology are collaborating on a project course in FPGAs and VHDL implementation. The course, DAT096, is a one-semester project for Master students where the students will implement a Deep Learning network accelerator into a...

Synective Launches FPGA Trainee Program

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...

Digital Degree Fair 2020 @KTH

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...

Self-Learning BRIO Labyrinth Game

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...