AGI-3, independently verified by ARC Prize, nearly quadrupling GPT-5.6 Sol’s previous record. The model also produced the ...

Fields Medal 2026 winners were announced July 23 at ICM Philadelphia: Hong Wang, Yu Deng, John Pardon, and Jacob Tsimerman ...

Biological physicist Ibrahim Cissé develops super-resolution microscopy tools to watch ephemeral molecular interactions and ...

New research examines how gravity can be reconciled with thermodynamics through the Gravity from Entropy theory.

This guide walks through the six core technical decisions required to bridge the gap between crude sample preparation and ...

Abstract: In response to the remote sensing imaging requirements of complex urban environments, synthetic aperture radar (SAR) systems mounted on uncrewed platforms have emerged as an important ...

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

The Government of Canada’s High Performance Computing (HPC) infrastructure includes the 2 most powerful supercomputers in Canada. They are among the most powerful commercially available computer ...

Abstract: Dynamic equations provide mathematical frameworks to capture the evolving behavior of systems, which is essential in various fields. While the zeroing neural network (ZNN) is one of the most ...

The original version of this story appeared in Quanta Magazine. At the turn of the 20th century, the renowned mathematician David Hilbert had a grand ambition to bring a more rigorous, mathematical ...

For the conventional staggered-grid finite-difference scheme (C-SFD), although the spatial finite-difference (FD) operator can reach 2M th-order accuracy, the FD discrete wave equation is the only ...