Machine learning is among the greatest advancements in computer science and
engineering and is today used to classify or detect objects, a key feature in autonomous …

As artificial neural networks have become increasingly integrated into safety-critical systems
such as autonomous vehicles, devices for medical diagnosis, and industrial automation …

Neuromorphic computing and spiking neural networks (SNNs) are gaining traction across
various artificial intelligence (AI) tasks thanks to their potential for efficient energy usage and …

This paper aims to comprehensively explore challenges and opportunities to design highly
efficient Neural Network (NN) systems through Approximate Computing (AxC) techniques …

In recent years, Artificial Intelligence (AI) systems have achieved revolutionary capabilities,
providing intelligent solutions that surpass human skills in many cases. However, such …

摘要作為人工智能領域的一項重大進展, 脈衝神經網絡以其獨特且受大腦啟發的解題,
推理和推斷方法, 展現了巨大潛力. 這種潛力促使眾多組織和企業投入於算法和硬件設計的開發 …

We present a novel test generation algorithm for hardware accelerators of Spiking Neural
Networks (SNNs). The algorithm is based on advanced optimization tailored for the spiking …

In the last decades, the multiplication of edge devices in many industry domains drastically
increased the amount of data to treat and the complexity of tasks to solve, motivating the …

In the age of digital transformation, advanced computing systems have become integral to
the functioning of industries, governments, and everyday life. These systems, encompassing …