Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...
When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...
Google's John Mueller said that when it comes to AI Search and the changes that come with that, Google's core search algorithms, spam detection methods, spam policies, and other search systems do not ...
Abstract: This study addresses the optimal control problem for discrete-time nonlinear systems with fixed initial state. A fast policy iteration $(\text{PI})$ algorithm is developed to compute the ...
Billionaire entrepreneur Mark Cuban cautioned that social media algorithms, rather than candidates' policies or personalities, could have the greatest influence on voter behavior in the upcoming 2026 ...
While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...
A new bill would hold social media platforms responsible for foreseeable algorithmic harms. A new bill would hold social media platforms responsible for foreseeable algorithmic harms. is a senior ...
Note: The CUDA version requires significant GPU memory for large problems. For a 64x64 gridworld (4096 states), approximately 1GB of GPU memory is needed. If you ...
Computed Tomography (CT) is widely used in medical diagnosis. Filtered Back Projection (FBP), a traditional analytical method, is commonly used in clinical CT to preserve high-frequency details but ...
Reinforcement learning (RL) plays a crucial role in scaling language models, enabling them to solve complex tasks such as competition-level mathematics and programming through deeper reasoning.
This repository contains my implementation of the Hybrid Input-Output (HIO) algorithm for phase retrieval — recovering phase information from Fourier magnitude data, a key problem in computational ...