An international team led by Juan Diego Soler at the University of Vienna used two of the world's most powerful radio ...

Virtual cell models that enable the prediction of cell behavior across scales and biological contexts are rapidly emerging at the forefront of drug discovery. Tom Sercu, PhD, vice president of AI and ...

description [ICCV 2025][3D Vision][Superquadrics] SuperDec is a Transformer-based learning approach that decomposes point clouds into compact sets of superquadric primitives. Trained on ShapeNet, it ...

This paper proposes MEGA, a memory-efficient framework for 4D Gaussian Splatting that eliminates redundant spherical harmonic coefficients via DC-AC color decomposition (8× compression) and reduces ...

Stochastic dynamics of random polynomials on complex manifolds combines probability theory, complex geometry and spectral analysis to characterise the behaviour of zeros of random holomorphic sections ...

Recent experiments in circuit quantum electrodynamics and electric circuit networks have demonstrated the coherent propagation of wave-like excitations on hyperbolic lattices. The negative curvature ...

Hyperdimensional Computing (HDC) is a brain-inspired and lightweight machine learning method. It has received significant attention in the literature as a candidate to be applied in the wearable ...

These are notes for the talk I’m giving at the Edinburgh Category Theory Seminar this Wednesday, based on work with Joe Moeller and Todd Trimble. (No, the talk will not be recorded.) They still have ...

Master-Slave control is a common mode of operation for surgical robots as it ensures that surgeons are always in control and responsible for the procedure. Most teleoperated surgical systems use low ...

We establish a new theory which unifies various aspects of topological approaches for data science, by being applicable both to point cloud data and to graph data, including networks beyond pairwise ...