| Abstrakt: |
SEOUL, South Korea, Oct. 24, 2024 /PRNewswire/ -- In recent years, artificial intelligence (AI) and Internet of Things have progressed rapidly, driving advancements in areas like speech recognition, image classification in autonomous vehicles, and large language models like ChatGPT. A key element in AI is deep learning, which requires parallel processing of large amounts of data—an area where traditional computers still struggle with efficiency. Neuromorphic or brain-like computing systems, consisting of artificial neurons and synapses, offer low power consumption and efficient data processing. [ABSTRACT FROM PUBLISHER] |
