Artificial Intelligence
Thought-controlled walking again after spinal cord injury
Research
EPFL
Neuroscientists and neurosurgeons from EPFL/CHUV/UNIL and CEA/CHUGA/UGA report in the journal Nature that they have re-established the communication between the brain and spinal cord with a wireless digital bridge, allowing a paralyzed person to walk again naturally
Predict what a mouse sees by decoding brain signals
Research
EPFL
A research team from EPFL has developed a novel machine-learning algorithm that can reveal the hidden structure in data recorded from the brain, predicting complex information such as what mice see.
Centralized database helps scientists better understand coral reefs
Research
EPFL
Coral reefs are under a growing threat from climate change and human activity, making it more important than ever to understand their strengths and vulnerabilities. A team of EPFL scientists has now taken an important step in this direction with the new RECIFS open-access database on reef environments.
Artificial intelligence for avalanche warning systems
Research
ETH Board
Digital tools such as artificial intelligence make it possible for environmental researchers to access larger data pools and generate new scientific findings. WSL uses these tools in a wide variety of ways. For instance, they offer support with making more precise predictions about danger zones in snow and avalanche research.
New AI model transforms research on metal-organic frameworks
Research
EPFL
Researchers at EPFL and KAIST have developed a new AI model that significantly improves the understanding of metal-organic frameworks (MOFs), promising materials for hydrogen storage and other applications.
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. 
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