Cognitive Machine Intelligence 

About

Cognitive Machine Intelligence is a Stanford HAI (Institute for Human-Centered Artificial Intelligence)-sponsored student affinity group and dedicated research community. We focus on understanding what cognitive capabilities AI systems still lack, and how we can unlock these capacities in machines to teach them to learn and think in performing tasks across, but not limited to: (i) logical reasoning, (ii) physical understanding, (iii) planning, (iv) motor control, and others. The group is currently led by Tasha Kim and Julian Quevedo, and our faculty mentor is Nick Haber.

Weekly Reading Group

Time: Thursdays 6-7pm

Location: 120, Gates Computer Science Building, 353 Jane Stanford Way, Stanford, CA

Description: The goal of our reading group is to foster discussion and collaboration in CogMI. The format is that each week, the group members will go around and present or lead discussion for a paper/reading on a chosen topic of interest (short: 5 mins / long: 30 mins). Feel free to optionally share your paper/reading in our Slack group in advance, so that group members can engage more deeply with the topic.

Schedule (2024-2025 Autumn):

• 10/25 (Fri)

• 10/31 (Thu)

• 11/7 (Thu)

• 11/14 (Thu)

• 11/21 (Thu)

• 11/28 (Thanksgiving, no meeting)

• 12/5 (Thu)

• 12/12 (Thu)

Schedule (2024-2025 Winter): Please fill out our interest form to be added to our Slack and mailing list.