GitHub

Strong Partitioning and a Machine Learning Approximation for Accelerating the Global Optimization of Nonconvex QCQPs

To cite the contents of this repository, please cite both the paper and the INFORMS Journal on Computing GitHub repo, using their respective DOIs.
Scientific American

How One Mom Built an AI Tutor for Her Dyslexic Son

Gajilan, who has worked at Reuters for more than 14 years and was then digital news director, had been reading about artificial intelligence and custom GPTs—tailored AI models that users could ...
Frontiers

Brain-Inspired and neurally grounded algorithms in learning and control of advanced robots

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...
IEEE

A Novel HDL Code Generator for Effectively Testing FPGA Logic Synthesis Compilers

Abstract: Field programmable gate array (FPGA) logic synthesis compilers (e.g., Vivado, Iverilog, Yosys, and Quartus) are widely applied in electronic design automation (EDA), such as the development ...
Finbold | Finance in Bold

Machine learning algorithm predicts AMD stock price on October 31, 2025

Advanced Micro Devices (NASDAQ: AMD) exploded on Monday, October 6, after the company announced a new partnership with OpenAI. As part of the deal, OpenAI will deploy up to 6 gigawatts (GW) of AMD ...
IEEE

FPGA-based Implementation of Deep Reinforcement Learning for Heat Recovery Chiller Optimization

Abstract: This paper presents the FPGA implementation of a Deep Reinforcement Learning (DRL) algorithm to optimize Heat Recovery Chiller (HRC) systems. The proposed hardware DRL implementation, based ...