Viewing profile — webaba

Indeed, DL-based AI is likely to continuue - rightfully so - for non-safety critical domains (translation, games, ...) It's crazy that few people notice that real world application…

"Especially when your opinion goes against what pretty much everyone else in the field thinks" -> Most Deep learning people are consumers or hardware manufacturers, very few resear…

I believe he has much more insight than most AI researchers/engineers. What's going on in AI right know looks exactly like what happened in the 1960s, sucking all the resources int…

I cited Lyapunov, more as the ABC of nonlinear controls. Much more can be done in an analytical fashion, the "end-to-end" system here does not "solve" anything. It is a trained ste…

When falling down actually corresponds to killing a pedestrian, then I'd rather try to understand the complexity of robust walking rather than observing a bunch of humans, mimic th…

Indeed, I was not really talking about the vision pipeline. But once you decouple the problem (use ML for vision, planning for the trajectory, controls for the rest), you'll get mu…

Obviously, my message was slightly provocative, deep learning methods and classical controls (which by the way are able to quantify robustness to plant uncertainties and noisy sign…

Obviously, "Lane Following Autopilot using my brain and controls theory" would not make it to the top of HN. Welcome to the new era where Tensorflow replaces Lyapunov and ML spares…

Completely agree with this viewpoint. Explanatory power and reproducibility are two of the most important aspects of a scientific paper. Most deep learning based papers lack both t…

In aeronautics, we were able to increase safety to an insane level by understanding the physics of the environment, formally proving and certifying algorithms, using Robust control…

This is actually completely incorrect. Many cognitive biases occur at low levels of cognition without involving language, take professional pilots and confirmation biases despite o…

Love it

You're so right, actually there is nothing new in this idea. Kalman filters (so basically belief propagation based on gaussian observations) were already used by DL Kleinman in 197…

I feel like frameworks like Meteor promote systematic use of websockets, and more and more developers don't even try to implement scalable stateless server code.

Most web devs think they need websockets but they really don't.