Data Sciences
Unraveling the primordial-soup-like secrets of ChatGPT
Research
EPFL
AI chatbot ChatGPT exploded onto the scene in November 2022. It can write essays, WordPress plugins and even pass an MBA exam – yet scientists still don’t fully understand how these general artificial intelligence programs work. New EPFL research aims to change this paradigm. 
“In 2023, no one will be able to avoid AI progress any longer”
TechTransfer
ETH Zurich
Artificial intelligence seems to be on the rise – and not just in the headlines. Florian von Wangenheim from ETH Zurich’s Chair of Technology Marketing and researcher at the ETH AI Center explains this trend in a short interview.
Hope for patients with a severe rare disease
Research
ETH Zurich
New research offers potential benefits for those affected by the hereditary metabolic disease methylmalonic aciduria. By combining the results of multiple molecular analyses, scientists can better diagnose this rare and severe disease. In the future, an improved understanding of the disease might also improve treatment options.
Beating hackers at bug hunting
Research
EPFL
An innovative new collaboration between EPFL’s HexHive Laboratory and Oracle has developed automated, far-reaching technology in the ongoing battle between IT security managers and attackers, hoping to find bugs before the hackers do.
Speculative calculations open a backdoor to information theft
Research
ETH Zurich
ETH Zurich researchers have discovered a serious security vulnerability in computer hardware. The vulnerability, called "Retbleed," affects microprocessors from market leaders Intel and AMD. All commercially available operating systems worldwide that use these processors are affected. When computers execute special calculation steps to compute faster, they leave traces that hackers could abuse.
Faster and smarter
Research
PSI
When large research facilities such as the X-ray free-electron laser SwissFEL and the Swiss Light Source SLS are operating at full speed, they produce enormous amounts of data. To interpret the data and use it, for example, to develop new drugs or materials, PSI is now concentrating its expertise in a new research division: Scientific Computing, Theory, and Data.
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