News

  1. Add an EPFL News block.
  2. In the right column, make sure that the Block tab is active, if not, click on it.
    • From the drop-down menu, select the desired news channel.
      The menu being quite long, you can also click on the menu then type the first letters of the desired channel to get there faster.
    • Only active channels are displayed (with at least one news less than a year old).
  3. Select a display template. Note: the display does not change in edit mode
    • Select the number of news :
      Note: The number of news items can only be defined for the template: Template listing
      Choose the number of news to display either by indicating a value (3 by default) or by sliding the cursor along the bar.
  4. Click on Display the link “all news” if you want to display a link to actu.epfl.ch
  5. Select the language of the news
  6. [Optional] If your news channel features sections, you can filter the display by selecting a section from the drop-down menu.
  7. [Optional] Theme Section: Click in the drop-down menu to filter news by theme
  8. [Optional] Category Section: Click on a category to turn on this filter.
    Note: Sections, Theme and category filters can be combined

Example

The CryoNanoSIMS setup at EPFL. Credit: A. Meibom (EPFL)

A deep look into the progression of Parkinson's Disease

  • News
  • Research
Read moresur Tech Transfer.

Scientists at EPFL use cutting-edge imaging techniques to shed light on the progression of Parkinson's disease by studying how the main culprit, the protein alpha-synuclein, disrupts cellular metabolism.

Read more

Cutting food waste every step of the way

NewsEPFL

Every year over a billion tons of food worldwide are thrown away or perish, at a hefty environmental and climate cost. September 29 is International Food Loss and Waste Awareness Day, a reminder of the importance of taking action at every stage of the supply chain. EPFL is taking pioneering measures in this area.

Enhancing AI robustness for more secure and reliable systems

NewsResearch

Researchers at EPFL have uncovered a fundamental flaw in the training of machine learning systems and elaborated a new formulation for strengthening them against adversarial attacks.

All news