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Physics - Mathematics - 30.09.2022
Computational shortcut for neural networks
Computational shortcut for neural networks
Neural networks are learning algorithms that approximate the solution to a task by training with available data. However, it is usually unclear how exactly they accomplish this. Two young Basel physicists have now derived mathematical expressions that allow one to calculate the optimal solution without training a network.

Life Sciences - Mathematics - 28.09.2022
Better understanding of cellular metabolism with the help of AI
Better understanding of cellular metabolism with the help of AI
Metabolism is essential to all living organisms, and modeling the chemical reactions that sustain life is no easy task. Now, scientists have released REKINDLE, paving the way for more efficient and accurate modeling of metabolic processes thanks to deep-learning. The way an organism metabolizes nutrients is a complex process.

Physics - Mathematics - 28.07.2022
A key role for quantum entanglement
A key role for quantum entanglement
A method known as quantum key distribution has long held the promise of communication security not possible in conventional cryptography. For the first time, an international team of scientists, including researchers from EPFL, has demonstrated experimentally an approach to quantum key distribution based on high-quality quantum entanglement - offering much broader security guarantees than previous schemes.

Mathematics - Physics - 22.06.2022
As they search for beauty
As they search for beauty
At its heart, is mathematics an aesthetic discipline? Or what does it mean if someone finds a proof -beautiful- And what does mathematical beauty say about physical connections? To this day, mathematics includes beautiful facts that are also familiar to us in everyday life. The golden ratio, for example, has been revered since an­tiquity as representing the most aesthetically pleasing proportions.

Life Sciences - Mathematics - 13.05.2022
How cells correct errors under time pressure
How cells correct errors under time pressure
How does a cell balance risk and speed when dividing? scientists have developed and experimentally tested the first mathematical theory that describes the cell's best strategy for dividing safely and efficiently. Cells go through a life cycle that includes growing to the right size, being equipped to perform its functions, and finally dividing into two new cells.

Life Sciences - Mathematics - 13.04.2022
Enhancer-promoter interactions - distance matters
Enhancer-promoter interactions - distance matters
When and where a gene is transcribed in a living organism often depends on its physical interactions with distal genomic regulatory regions called enhancers. Researchers in the group of Luca Giorgetti have thrown light on how such interactions control transcription thanks to a novel ingenious experimental approach combined with mathematical modelling.

Life Sciences - Mathematics - 06.04.2022
Build neurons with mathematics
Build neurons with mathematics
Researchers from EPFL have found a way to use only mathematics to automatically draw neurons in 3D, meaning we are getting closer to being able to build digital twins of brains. Santiago Ramón y Cajal, a Spanish physician from the turn of the 19 th century, is considered by most to be the father of modern neuroscience.

Health - Mathematics - 25.02.2022
Mathematics helps AI in biomedicine
Mathematics helps AI in biomedicine
"Data is the new oil", it has often been said. Indeed, in the digital age data is the fuel that runs the engines of digital media, advanced informatics (AI, machine learning etc.) and, not least, scientific research. Nevertheless, when facing certain highly complex issues, data-driven approaches may not always be the most effective solutions.

Mathematics - Physics - 27.01.2022
A mathematical secret of lizard camouflage
A mathematical secret of lizard camouflage
A multidisciplinary team at the University of Geneva has succeeded in explaining the complex distribution of scales in the ocellated lizard by means of a simple equation. The shape-shifting clouds of starling birds, the organization of neural networks or the structure of an anthill: nature is full of complex systems whose behaviors can be modeled using mathematical tools.