One of the problems we faced when launching machine learning was difference in expertise. IT people are usually good at math and technology, business people normally deal with its outcomes and processes, but the key to success is in collaboration of these two areas.
I’m going to talk about our experience in pushing machine learning to business users and made it everyday technology: approaches, pitfalls, some issues and solutions, and tecnical side of a problem.
The practical guide of how to lead a retrospective. Questions, best practices, proposals.
Presentation will cover problem categories that are not suitable for solving on general-purpose processors. And which fit well on FPGA architecture.
As example we will observe PTP support on System-On-Chip FPGA.
In our example FPGA firmware will contain network packets timestamping and PTP Hardware Clock modules.
Размещение в гостинице, транспортное и экскурсионное обслуживание по специальным ценам.