jacobzweig

Awesome breakdown of the challenges of indoor navigation! One thing I was curious about... given that many modern phones now have UWB radios built in, was UWB ever considered as part of the solution stack? From what I understand UWB can get to sub meter accuracy, and I know it's used in several sports applications where precise tracking is really critical.

Is the constraint more about infrastructure (installing anchors, device compatibility, power) or something else that made you lean towards WiFi + SLAM fusion instead?

Run claude in the terminal in VSCode (or cursor) and it will install automatically!

Fellow BJJ player here – there have been numerous references to the increased risk of vascular injuries and stroke resulting from the high number of chokes that we routinely practice. One study, for instance, found that even brief interruptions in blood flow to the brain during a choke can result in cognitive deficits and other negative health outcomes (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5678212/).

I'm very glad to hear you recovered quickly, and encouraged by the potential for new treatments to help save more lives.

Does anyone know if there’s a parallel workflow in PyCharm? That is, running on a remote docker container. I haven’t yet been able to get this working but it’d be a vastly superior workflow for my use cases in ML/DS.

You search this on snapcam to add it: https://www.snapchat.com/unlock/?type=SNAPCODE&uuid=3b99ac6d...

Hey, don't mean to be promotional, but I just built a platform for email marketing that uses machine learning for automated split testing and optimization (just wrote a post about it here: https://www.optimail.io/blog/move-beyond-ab-testing-email-ca...). I'd be happy to answer any questions about it!

Ooh, neat! I've used GANs to generate synthetic temporal sequence data for training electrophysiologic (i.e., EEG, EMG) signal decoders. In fact, I wrote up the section of my dissertation on this topic today! In my experience it worked quite a bit better than other generative techniques (I've used convolutional variational autoencoders in the past for this and had so-so results). Looking forward to seeing what you guys do with this!

Thanks for the feedback - it's so hard to hit the right level of description. I'm definitely biased here after just leaving academia since I keep thinking "if we don't mention the hierarchical models they're going to think we're frauds!" - ha.

But you're absolutely right - our goal is to appeal to developers as well as marketing types, so perhaps this level of detail is just confusing and unnecessary on the landing page.

Feel free to shoot me a message if you have any other feedback - I really appreciate it!!

Just finished up my dissertation and I've been working on taking some of the deep learning and RL techniques I've used for my research to build something new.

We just launched Optimail (https://optimail.io) - it uses reinforcement learning to automatically optimize drip email campaigns.

I'm going to debunk you because as your business partner, I get to constantly annoy you with you loud eating, and this way you have an excuse for being mad.

It's not just the fact that they see a response in AIC that highlights the important aspect of this research, but rather the dissociation between sound evoked activity in controls vs misophonics. While control subjects found unpleasant sounds as annoying as the misophonics found trigger sounds, activity in AIC increased only in the misophonics, and only for the trigger sounds. Interesting to see also that for misophonics, AIC activation scales linearly with the degree of distress - I'm assuming this wasn't the case for unpleasant sounds (but I'm not positive and didn't read closely enough to tell).

You say it's not clear that it's a product of the way their brains are wired, but in the paper they highlight a potential for greater myelination in vmPFC in misophonics. They do this indirectly citing differences in magnetization transfer saturation. I don't know this technique, so I can't really comment on how legit it is, but it seems at least there's some effort to attribute this to structural rather than purely functional differences.

And yeah, of course it's always possible that it's some other factor that is underlying these effects, but I think this dissociation shows reasonably convincing evidence for pursuing more research on this condition (e.g., diffusion imaging to better understand potential structural differences)

Neat - I used convolutional neural networks to classify electrocorticographic signals during my PhD work. I'll definitely check you guys out!