We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

Nanoscale device employs magnetic tunnel junctions to convert thermal noise into binary signals for random number generation.

A course that expands the basics of computer science learned during the three-year study course , giving you in-depth knowledge, especially in the most innovative areas of the subject, and a high ...

Machine learning approaches to combinatorial optimization can be broadly categorized into several paradigms. Supervised learning methods train models to predict optimal or near-optimal solutions based ...

Deep learning models, having revolutionized areas of computer vision and natural language processing, become less efficient as they increase in complexity and are bound more by memory bandwidth than ...

Abstract: This paper gives a detailed review of reinforcement learning (RL) in combinatorial optimization, introduces the history of combinatorial optimization starting in the 1950s, and compares it ...

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics ...

Abstract: Tropical algebra solves complex problems with only sum and min/max operations replacing expensive multiplication and addition in linear algebra. Due to the low computing cost, tropical ...