博客

Track Reconstruction with Deep Learning at the CERN CMS Experiment

This blog post is part of a series that describes my summer school project at CERN openlab.

作者: 最后更新时间: 2019/03/21 - 12:00
Article

Brain Tumor Segmentation using Fully Convolutional Tiramisu Deep Learning Architecture

The aim of the work was to implement, train and evaluate the quality of automated brain tumor multi-label segmentation technique for Magnetic Resonance Imaging based on Tiramisu deep learning architecture.
作者: Kocot, Szymon 最后更新时间: 2019/03/26 - 16:20
Article

Finding BIOS Vulnerabilities with Symbolic Execution and Virtual Platforms

Intel’s Excite project uses a combination of symbolic execution, fuzzing, and concrete testing to find vulnerabilities in sensitive code.
作者: Engblom, Jakob (Intel) 最后更新时间: 2019/08/02 - 15:51