Towards a Science of Intelligence: How Do Brains & Machines Learn, Think, & Imagine | Surya Ganguli

【特別講座】 「AI如何學會思考？從大腦到人工智慧的探索」 主講人：蘇里亞‧甘古利博士 (史丹佛大學應用物理系副教授) 主持人：程之寧博士 (中央研究院數學研究所研究員) 我們所有的思想與行為，皆源自由約1,000億個神經元 (neurons) 與100兆個突觸 (synapses) 所構成的龐大網路。這個生物網路孕育了人類所有的工程與科學成就，包括我們向內探索大腦運作奧秘的神經科學。同時，它也開啟了人工智慧（AI）的發展，使機器得以展現許多人類推理與想像所具備的非凡能力。 本演講將介紹智慧如何從生物與人工神經網路中湧現的最新研究成果，探討動物如何感知世界並據以行動，以及人工智慧如何學習、推理與想像。此外，也將介紹人腦與機器融合的最新進展，說明機器如何學習大腦的語言並與大腦進行雙向溝通，甚至有朝一日可能直接將資訊傳遞進入大腦之中。 Academia Sinica Special Lecture Series: “Towards a Science of Intelligence: How Do Brains and Machines Learn, Think, and Imagine” Speaker: Dr. Surya Ganguli (Associate Professor of Applied Physics, Stanford University) Moderator: Dr. Miranda C. N. Cheng (Research Fellow, Institute of Mathematics, Academia Sinica) All of your thoughts and actions emerge from about 100 billion neurons connected by about 100 trillion synapses. This biological network has given rise to all of engineering and science, including the neuroscience of how we look inwards to understand how our brains work. At the same time it has given rise to artificial intelligence (AI), which is capable of reproducing many feats of human reasoning and imagination. We will explore the latest knowledge regarding how intelligence emerges from networks of neurons, whether biological or artificial. This will include explaining how animals see and act, and how AI learns, reasons and imagines. It will also include how we can meld minds and machines so that machines can learn the language of the brain and speak directly back to it, thereby writing thoughts directly into the brain. #AI #人工智慧 #ArtificialIntelligence #ChatGPT #Neuroscience #神經科學 #NeuralNetwork #神經網路 #MachineLearning #DeepLearning #Consciousness #認知科學 #科普