Prof. Dr. Suyanto, S.T., M.Sc.
Next Generation Artificial Intelligence
John McCarthy proposed artificial intelligence (AI) as a field of research in 1956. Since then, AI has alternated between periods of apathy and sustained interest and funding. In the 1980s, machine learning was developed as a new generation of AI. In 2012, Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton revolutionized AI with a deep learning (DL) model named AlexNet, which won the ImageNet object recognition challenge with a significant lower error rate than the runner-up ML-based method. Since then, DL has dominated AI. After a decade, researchers now realize DL has two obvious limitations: reliance on huge amounts of labeled data and the need for high computing power. Therefore, they create new models for the next generation of AI, such as self-supervised deep learning, hybrid symbolic AI and deep learning, neuroscience-based deep learning, etc.