EPFL
Lung cancer resistance: the key is glucose
Research
EPFL
Lung tumors are home to immune cells that affect their growth and resistance to treatment. Looking at neutrophils, scientists led by EPFL have discovered that the key might lie in the cells’ ability to metabolize glucose, opening an entirely new target for improving radiotherapy.
Nano-mapping phase transitions in electronic materials
Research
EPFL
Scientists at EPFL and the University of Geneva have combined two powerful, cutting-edge techniques to uncover the physics behind an exotic phase transition that turns a metal into an insulator. The materials they looked at are rare-earth nickelates, which are of great interest for innovating new approaches in electronics.
EPFL algorithm in the world's most popular deep learning software
Research
EPFL
PyTorch is used for countless AI applications ranging from Tesla’s Autopilot to Facebook’s translation software and its latest version, just launched, features an EPFL communication-efficient training algorithm that even helps the planet. 
Two decades of promoting women's issues
Politics
EPFL
International Women’s Day Series - When she was just 27 years old, Hélène Fueger was hired by the University of Fribourg to serve as its new Women’s Issues Officer. She began to tackle, on her own, the tricky issue of gender equality there. In 2006 she was selected to head an EU program on mentoring opportunities for female students and postdocs, and she joined EPFL in 2015 as equal opportunities delegate.
Talented women graduates face gender inequality in their careers
Politics
EPFL
For the first time, an EPFL survey has traced the careers of its women graduates. Its findings – together with several alumnae’s personal accounts – show how effectively these women have integrated into the job market. The survey also reveals, however, the roadblocks to their professional advancement along with their hopes for greater gender equality.
Swiss statistical systems could be enhanced by big data
Research
EPFL
Using anonymized policyholder data from Swiss insurance company La Mobilière, EPFL scientists were able to predict a number of socio-economic indicators in 170 Swiss towns. This innovative approach could help increase the granularity and applicability of official statistics.
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