ICT Journal | Bühler relies on machine learning to separate the wheat grain from the chaff [In French]

Our digital self is becoming an important part of ourselves and a very descriptive representation of our physical body and mind. It is thus very important that we protect it.

As the world’s cities continue to grow, land is becoming increasingly scarce. However, open space is vital in urban areas. Semiramis is a new approach to AI-augmented architectural design, allowing designers a quick and easy selection of feasible performance values and a qualitative evaluation of the generated geometries.

The lack of transparency of black-box models is a fundamental problem in modern Artificial Intelligence and Machine Learning. This work focuses on how to unbox deep learning models for image classification problems.

PSI, ETH Zurich, and the SDSC are jointly working on automatically analysing such three-dimensional images to ease the burden of the clinicians and pathologists in identifying healthy tissue from sick ones.

Artificial Intelligence (AI) is not an alien word anymore nowadays. We see both academic and industrial institutions adopting AI topics as a part of their curriculum and use cases to accelerate existing processes. The pharmaceutical industry is one of them.