TWIST - Technology Transfer @ IST Austria
We facilitate the exchange between researchers and industry, help commercialise inventions at IST Austria, and support our students interested in careers beyond the academic realm.Learn more about us
TWIST Fellowship Program
The internal “TWIST Fellowship Program” kick-starts the development of scientific findings into innovation. It allows alumni and postdocs of IST Austria to refine and explore their start-up ideas for one year.Read More
High-ranking delegation visits IST Austria
Federal Minister for Digital and Economic Affairs Margarete Schramböck and Wirtschaftslandesrat Jochen Danninger visited the IST Austria campus together with their government colleagues.
Researchers provide the key to an algorithm for finding integer solutions to certain polynomial equations.
In 1900, Hilbert famously challenged researchers to design an algorithm that could say whether or not a polynomial equation with integer coefficients has an integer solution. We now know that this, his so-called tenth problem, is in general impossible. However, a new theorem by Institute of Science and Technology Austria (IST Austria) Professor Tim Browning and his coauthors, Professor Pierre Le Boudec at the University of Basel and Professor Will Sawin at Columbia University, has provided the key to creating such an algorithm for nearly all polynomials whose number of variables is greater than their degree. In so doing, they almost entirely resolve a central conjecture in number theory. Their results have been announced on arXiv.org and submitted for publication.
IST Austria scientists present three novel techniques to simulate nature’s complexity
From large waterfalls to tiny soap bubbles – nature is both beautiful and complex. Simulations of its phenomena are essential to scientific discoveries, modern engineering, and the digital arts. While supercomputers are usually necessary, Professor Christopher Wojtan and his team overcome this complexity by combining physics, mathematics, and algorithmic optimizations from computer science.