149. Reverse Engineering The Brain With AI

The Next Byte Podcast · 21 Nov 2023 · 24m

AI in practice: 2 real uses of AI described

What this episode covers

Hosts Daniel and Forbode discuss MIT researchers' development of 'Smart EM,' an AI-integrated scanning electron microscope that accelerates connectomics by autonomously identifying regions of interest in brain tissue. They explain how the system reduces the time to map 100,000 neurons from over a decade to under three months, drawing parallels to human visual attention and Elon Musk’s first-principles approach to material science. The hosts also read a listener shout-out from AI architect Bruno Marquier and announce an upcoming interview episode.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Engineering & simulationReduced mapping time for 100,000 neurons from over a decade to under 3 months (40x speedup)

The AI model controls the electron microscope to identify regions of interest, focusing on complex areas and skipping routine ones, which optimizes the image acquisition process.

“it basically the machine learning helps control the microscope and helps the microscope to understand and focus on what are the important parts of the image. What are the parts that are worth taking a photo of and doing further study on, and which parts are routine or not interesting, and which parts can we basically discard.”

Speaker 2 · Hear it at 7:34

Engineering & simulationSmart EM (machine learning algorithm)

The algorithm slows down the scanning speed when it detects regions of interest to capture higher-quality images, ensuring data quality is maintained while accelerating the overall acquisition process.

“once it finds regions of interest, it slows down the scanning so that it can have the best possible image before moving on. So that you're not, I guess, not only are you expediting this but you're not losing quality in your analysis either.”

Speaker 1 · Hear it at 11:02

Mentioned

Companies
MIT, Mouser Electronics, Tesla, Wevolver
Products
Smart EM
Also
Elon Musk, Bruno Marquier

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