The fusion of 2D semiconductors and ferroelectric materials could lead to joint digital and analog information processing, with significant improvement in energy consumption, electronic device performance, and lead to novel functionalities.

Analog & digital: best of both worlds in one energy-efficient system

EPFL researchers have used Chat-GPT-3 to develop a robotic gripper for harvesting tomatoes, in a first demonstration of the artificial intelligence tool’s potential for collaborating with humans on robot design.

Researchers unveil first Chat-GPT-designed robot

The geometric deep-learning method (PeSTo) used to predict protein binding interfaces. The amino acids involved in the protein binding interface are highlighted in red. Credit: Lucien Krapp (EPFL)

Scientists at EPFL have developed PeSTo, an AI model that can predict, with high confidence, the binding interfaces of proteins when they bind other proteins, nucleic acids, lipids, ions, and small molecules. The model's low computational cost enables the processing of large amounts of structural data, opening up opportunities for new biological discoveries.

PeSTo: a new AI tool for predicting protein interactions

Elythor, an EPFL spin-off, has developed a new drone whose wing shape can adapt to wind conditions and flight position in real time, reducing the drone’s energy consumption. What’s more, the position of the wings can change, allowing the drone to fly vertically or horizontally. These features make it a perfect candidate for inspecting power plants.

New inspection drone uses wind to lengthen flight times

In one of the lab's images, platinum nanoparticles are shown in pink © INE EPFL

Thanks to a novel combination of cryogenic transmission electron tomography and deep learning, EPFL researchers have provided a first look at the nanostructure of platinum catalyst layers, revealing how they could be optimized for fuel cell efficiency.

Cryo-imaging lifts the lid on fuel cell catalyst layers

The fiber pumps knit into fabric © LMTS EPFL

EPFL researchers have developed fiber-like pumps that allow high-pressure fluidic circuits to be woven into textiles without an external pump. Soft supportive exoskeletons, thermoregulatory clothing, and immersive haptics can therefore be powered from pumps sewn into the fabric of the devices themselves.

Thread-like pumps can be woven into clothes

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