Bridging the gap between Minds & Machines

Simons Institute for the Theory of Computing · Advanced ·📰 AI News & Updates ·1mo ago

About this lesson

Michal Irani (Weizmann Institute) https://simons.berkeley.edu/talks/michal-irani-weizmann-institute-2026-06-10 Topics in Intelligence: World Models and Social Reasoning In this talk I will present my vision of how combining the power of Brains & Deep-Networks (DNNs) can lead to significant breakthroughs in both domains and potentially bridge the gap between Brains & Machines. I will show how combining the power of Multiple Brains (“the Wisdom of a Crowd of Brains”) may lead to new breakthrough discoveries in Brain-Science, allow mapping of information between different brains (with NO shared data), and lead to new ways of training and interpreting artificial DNNs.

Original Description

Michal Irani (Weizmann Institute) https://simons.berkeley.edu/talks/michal-irani-weizmann-institute-2026-06-10 Topics in Intelligence: World Models and Social Reasoning In this talk I will present my vision of how combining the power of Brains & Deep-Networks (DNNs) can lead to significant breakthroughs in both domains and potentially bridge the gap between Brains & Machines. I will show how combining the power of Multiple Brains (“the Wisdom of a Crowd of Brains”) may lead to new breakthrough discoveries in Brain-Science, allow mapping of information between different brains (with NO shared data), and lead to new ways of training and interpreting artificial DNNs.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
HEMN Technologies
Learn how HEMN Technologies is redefining the approach to AI adoption in businesses, focusing on a more proactive and innovative strategy rather than just adapting to AI.
Medium · AI
📰
Google and Ford are funding a push into the trades, the jobs their AI can’t do
Google and Ford are funding a push into trades jobs that AI can't do, highlighting the need for skilled workers in areas like electrician and technician roles
The Next Web AI
📰
$130 Billion In AI Data Centers Stalled. The Bottleneck Is Consent
$130 billion in AI data center projects are stalled due to local opposition, highlighting the need for developers to prioritize community consent
Forbes Innovation
📰
Global Trade Dynamics Q3 2026 — Geopolitical & Macroeconomic Analysis
Analyze global trade dynamics using AI and data analysis to understand geopolitical and macroeconomic trends
Dev.to AI
Up next
The Most Important Conversation in AI Right Now
Matthew Berman
Watch →