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The greater the amount of high-quality data you have, the better your machine learning model will be. This post looks at the challenges (and solutions) involved in creating and organizing a dataset when you’re starting from scratch.

Improving Dataset Creation for Machine Learning

Researchers create a new simulation tool for robots to manipulate complex fluids in a step toward helping them more effortlessly assist with daily tasks.

Helping robots handle fluids

A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.

A better way to study ocean currents

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

High Tech Campus Eindhoven (HTCE) and its AI Innovation Center today announced a collaboration with Amazon Web Services (AWS). The new collaboration aims, through education and inspiration, to increase the implementation and usage of AI services and machine learning (ML), as these technologies not only transform business, but also transforms research and development.

AI Innovation Center collaborates with Amazon Web Services (AWS) to accelerate the use of AI

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