AI is creating lucrative career paths, with top roles offering crores in salaries. Here's a look at the highest-paying AI jobs and the qualifications needed to land them ...

Multi-FPGA platforms like Amazon Web Services F1 are perfect to accelerate multi-kernel pipelined applications, like Convolutional Neural Networks (CNNs). To reduce energy consumption, we propose to ...

This paper discusses the design and early imple-mentation of a new online coding tutorial system for teaching Python to novice programmers. The main contribution is to develop Python OCTS, a highly ...

The aim of this study is to give elements to predict time performances and power consumption performances in CNN implementation on embedded CPU boards. CNNs are effective in classifying EEG signals ...

For FPGA implementation, a frequency of 100 MHz and 16-bit fixed-point numbers are used. Additionally, two methods, DSP and CMult, are used as multipliers in the implementation of neural networks.

Oriented two dimensional spatial low-pass filters are useful for image processing tasks such as adaptive smoothing. We propose an oriented low-pass filter suitable for CNN implementations. The filter ...

With the rapid development of CNN(convolutional neural networks), the traditional CPU platform can not make full use of the parallelism of CNN. We decide to adopt a new and popular processor ...