Machine Learning
Anything-in-anything-out: a new modular AI model
Research
EPFL
Researchers at EPFL have developed a new, uniquely modular machine learning model for flexible decision-making. It is able to input any mode of text, video, image, sound, and time-series and then output any number, or combination, of predictions. 
A machine learning framework that encodes images like a retina
Research
EPFL
EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.
Laser additive manufacturing: listening for defects as they happen
Research
EPFL
Researchers from EPFL have resolved a long-standing debate surrounding laser additive manufacturing processes with a pioneering approach to defect detection.
Enhanced AI tracks neurons in moving animals
Research
EPFL
EPFL and Harvard scientists have developed a pioneering new method that uses deep learning and a new technique called ‘targeted augmentation’ to track neurons in moving and deforming animals.
EPFL's new Large Language Model for Medical Knowledge
Research
EPFL
EPFL researchers have just released Meditron, the world’s best performing open source Large Language Model tailored to the medical field designed to help guide clinical decision-making.
Artificial intelligence finds ways to develop new drugs
Research
ETH Zurich
A new AI model developed by chemists at ETH Zurich can not only predict where a pharmaceutically active molecule can be chemically modified, but also how best to do it. This makes it possible to identify new pharmaceutical ingredients more quickly and improve existing ones in a targeted manner.
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