Cologne Chip is pleased to once again contribute to the FPGA Conference Europe in Munich
Join us as we share the latest insights, technologies, and innovations from the world of GateMate FPGAs:
Next Generation quasi-analog Neuron AI Chip and FPGA
Thursday, July 2
2:20 p.m. – 3:00 p.m.
The state of the art in AI is defined by so called neural networks. They are representations of real neurons in the brain. The target is to emulate these parts of the brain as close as possible to get similar intelligence in a circuit implementation. Nowadays AI does not rely on neurons but on software or FPGAs emulating neurons. This is a mature field of application, but very inefficient in terms of electrical power and computing power.
Most important challenges are the speed of the neurons signal processing, the size of them and the power which is needed for the operation of such an artificial brain.
The new chip comprises neural AI networks and an FPGA. Due to the quasi-analog nature of the pulse-width-controlled neurons and the implementation in 2-5 nm chip technology, the chip will have an excellent performance/area ratio and also significantly reduce power consumption compared to known AI solutions.
Time-to-Digital-Converter (TDC) with less than 5ps resolution for GateMate FPGA
Tuesday, June 30
9:00 a.m. – 9:40 a.m.
Time-to-Digital Converters (TDCs) are specialized electronic devices used to measure the time interval between events with high precision. TDCs are essential in applications requiring precise timing information, such as in high-energy physics experiments, medical imaging, and communication systems.
FPGAs have been used for implementing TDCs due to their ability to handle multiple timing channels simultaneously and achieve high resolution and accuracy thanks to their fine-grained timing capabilities and fast processing speeds.
For even higher resolutions, it is possible to use the GateMate FPGA’s innovative carry and propagation lines (CP-lines), which form the arithmetic part of the so-called Cologne Programmable Elements (CPE). This advanced architecture achieves a remarkable and unprecedented resolution of just 5 picoseconds, making them ideal for applications requiring ultra-precise timing accuracy.