*What more can neuromorphic computing learn from neuroscience?* We were asked to write an opinion piece for the journal Neuron and took the opportunity to propose some questions to the neuroscience community: arxiv.org/abs/2310.18335 1/4

2023 Annual Photonics Symposium @ Boston University Photonics Center on Nov 30 | In-person events | Registration is free: bu.edu/photonics/phot…

We are looking for an enthusiastic PhD student or PostDoc to develop machine learning tools for neuroscience (digital twins) to explore the link between visual processing and behavior. If you're interested please send your CV to [email protected]. Please retweet!

Best science video watched in a while: You may have heard about Lorenz attractors, but have you seen other chaotic attractors? Check out this pleasant video for examples: youtube.com/watch?v=idpOun…

I’m #hiring. Multiple post-doc positions in Silicon photonics, OCT imaging, and signal processing/embedded systems. Know anyone who might be interested?

Tried and tested to be true!

Glad to host Shi-Yuan Ma of Cornell University for an OQE seminar, titled "Quantum-limited Stochastic Optical Neural Networks Operating at a Few Quanta per Activation". oqe.nonlocally.org/event/2023-12-…

I feel extremely lucky, and I am grateful to CZI Science for their support on making novel light sources to push the frontier of deep-tissue imaging.

*How can you you change the design of a photonic chip, such as a photonic neural-network processor, without needing to go back to a foundry to get another version fabricated?* 1/

The Lake Como School of Advanced Studies on Machine Learning Photonics (MLPH) will take place on 2-6 September 2024! Check the program online: mlph2024.lakecomoschool.org PhD students and postdocs are encouraged to apply: application deadline is June 15, 2024.

Reposting a nice post about Hopfield Neural Networks

What is the minimum optical energy needed for classifying an image? Here we show it is possible to score high on deterministic ML tasks using single-photon detectors as stochastic neurons. Kudos to Shi-Yuan Ma for renewing the lower bound of optical machine learning energy!

Image deeper, wider, faster with three-photon microscopy, enabled by a bunch of new optics tricks: doi.org/10.1186/s43593…. Another work finally published towards the end of 2024. Miss the brainstorming sessions with Aaron, who created this amazing fine piece of instrument.

At Lightmatter, we're not just connecting 1 million XPU datacenters together using light. We're committed to ensuring that computational progress continues, even when Moore's Law and Dennard Scaling are gone. Our publication in nature highlights one possible path for

What a 10-year journal with MICrONS!