This project aims to develop a computational framework combining computer vision, computer graphics, and machine learning to accelerate and improve the design and simulation of camera lenses.

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...

Optica names 22 recipients for 2026 awards and medals, celebrating outstanding technical, research, educational, business, ...

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

In the past few years, software engineering has undergone a rapid transformation. Artificial intelligence has moved from novelty to infrastructure. Tools like GitHub Copilot, Cursor, and Claude Code ...

A milestone in biology has been achieved thanks to artificial intelligence (AI) machine learning and applied physics. A new peer-reviewed study by researchers affiliated with Harvard John A. Paulson ...

Differentiable programming in Taichi allows you to optimize neural network controllers efficiently with brute-force gradient descent, instead of using reinforcement learning. The DiffTaichi ...

Professor Edmund Lam, Dr Ni Chen and their research team from the Department of Electrical and Electronic Engineering under the Faculty of Engineering at the University of Hong Kong (HKU) have ...

Taichi has an issue where kernels with global memory access (read + write) produce wrong results when calculating gradients (see https://docs.taichi-lang.org/docs ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...