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Granular factoring overcomes the challenge of size and heterogeneity in neurological data science. Brain data is sourced from ...
This advancement brings machine vision closer to the image processing capabilities of the human brain, improving the accuracy and efficiency of image recognition systems while reducing the ...
Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the ...
These systems rely on electrode-based neural signal acquisition and advanced signal processing algorithms to translate brain activity into actionable commands. In the Tech Between Us podcast, host ...
By applying innovative thinking and a strong fundamental knowledge, we work on practical solutions and approaches within four themes: Curious about what it's like to work at the Faculty of Science?
This project is an AI-powered Security Information and Event Management (SIEM) system designed for real-time threat detection and response. Using Convolutional Neural Networks (CNN), Natural Language ...
Now, the computer scientist has made another unexpected leap: returning to China as a rising star in robotics and haptics. In March 2025, Peking University’s school of engineering proudly ...
The class XII Computer Science exam was as per the CBSE blueprint. It was of moderate difficulty level. All the assertion-reasoning and case study-based questions were according to the CBSE sample ...
This article will help you polish some of your strategies, and maybe help you find some new ones, so that you can clear the Computer Science paper ... Computer Networks carries 10 marks, and ...
A poster session and exhibition showcasing quantum computing technologies further facilitated active engagement and knowledge sharing.
One option is to develop processors that are a better match to the sort of computational needs of neural networks, which require many trips to memory and a lot of communication between artificial ...