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Special Lecture: “Towards a Science of Intelligence: How Do Brains and Machines Learn, Think, and Imagine”

Date: 2026-07-03

Speaker: Dr. Surya Ganguli (Associate Professor of Applied Physics, Stanford University)
Moderator: Dr. Miranda C. N. Cheng (Research Fellow, Institute of Mathematics, Academia Sinica)
Time: July 17, 2026, Friday, 14:00
Venue: Conference Room 1, 2F, Academic Activity Center, Academia Sinica
Online Registration https://forms.gle/bEpR2qrp1LcjPTmq5
 

Government employees participating in the lecture will receive
certification for lifelong learning and 2 hours of study credit.
Contact:
Mr. Chang, Department of International Affairs, Academia Sinica
Tel: (02) 2789-9895

Brief Synopsis:
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.