Abstract: As deep neural networks (DNNs) are becoming vital to numerous safety-critical applications, ensuring their fault reliability is crucial. This paper presents a hybrid framework that combines ...

AI inference is shifting from centralized hyperscale data centers to edge computing, driven by the need for low-latency, real-time decision-making in critical applications. This decentralization ...

A novel strategy that combines computational and experimental approaches has allowed researchers at Baylor College of ...

Target identification is a critical and challenging step in drug discovery, with only a small fraction of human genes ...

AI is transforming medicine by improving diagnostics, personalized treatments, and operational efficiency. Key opportunities ...

The Impact of Artificial Intelligence on NFL Draft Strategies The NFL draft has always been a high‑stakes showcase of talent ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...

FlappyAI is a project that initially intended to be just a Flappy Bird clone to practice Object-Oriented Programming (OOP) in C++. However, upon finishing it, I felt it could still become something ...

Abstract: This paper presents a new method in forecasting Philippine Peso to US Dollar exchange rate. Compared to the conventional way, in which the Philippine Dealing System (PDS), as monitored by ...