Abstract: In this paper, we focus on primary school students and show that it is possible for students without prior knowledge in these areas to re-invent and successfully implement cryptogra-phy and ...

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

BofA Securities 2026 Information & Business Services Conference March 12, 2026 2:15 PM EDTCompany ParticipantsAdam ...

“Unfortunately, we were a little bit ahead of our time,” Sumit Kapur tells The Next Platform, saying that in the later years of the last decade, quantum systems hadn’t advanced much and it was unclear ...

Across the world, conversations around Multimodal AI are gaining momentum. Researchers, technology leaders, and industry innovators are beginning to recognize it as the next major frontier of ...

Abstract: In the realm of computer science, sorting algorithms play a pivotal role in optimising data organisation and retrieval processes across various applications. This paper presents a ...

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...

AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...

The other day, my niece asked if she could see something I have in my basement. A simple question, yet I found myself stuttering through flimsy excuses to avoid revealing what’s happening in the ...