SOURCE-LINKED INTELLIGENCE

Tensor modEliNg, geOmetRy and optimiSation

CORDIS · observation · Publication date unknown

alculus by exploiting cutting-edge research in geometry and optimisation. Tensors are nowadays ubiquitous in many domains of applied mathematics, computer science, signal processing, data processing, machine learning and in the emerging area of quantum computing. The demand for highly trained scientists with a deep understanding of tensor methods and with advanced knowledge in the geometry of tensor spaces, with skills on the design of efficient algorithms and software handling tensor computation and in the applications of high performance tensor computation is raising, in many fields including machine learning and quantum computation, which are nowadays expanding very quickly. TENORS contributes to satisfy this demand by fostering scientific and technological advances in the area of tensor sciences, stimulating interdisciplinary and intersectoriality knowledge exchange between algebraists, geometers, computer scientists, numerical analysts, data analysts, physicists, quantum scientists, and industrial actors facing real-life tensor-based problems, in a network of PhD students at i

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

4049582.4

unit

EUR