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Depends on whether you are looking for effectiveness vs efficiency. YOLO et al. are optimised for general feature extraction. They are ridiculously good if you need to build someth…

A real life Flowers for Algernon :(.

I have mentioned this before, this is a supply problem. If you do not gatekeep medical degrees with irrelevant non-academic barriers (volunteering, portfolios, admission letters) a…

At that time software's AT&T style winner-take-all and network effect lock-in was still not that obvious. The PC was not yet the golden standard for desktop hardware and words like…

Here's the previous thread on this: https://news.ycombinator.com/item?id=23881342

Organic chemistry and neuroscience are complex. FWIW soursop has also been linked to causing Parkinson's like syndromes due to neuro toxicity.

There is a new version coming out next year: https://mitpress.mit.edu/books/machine-learning-second-editi...

This is a bog standard modern NLP problem, I love how all the comments here are on how impossible it is using traditional heuristics and quoting various pop neuroscience authors an…

Does JAMA network handle the journal translations or are they done by the authors?

So an inversed Dyson bladeless fan.

I think WebAssembly+low-level DOM API would be a good compromise for the lack of JavaScript.

Was the firmware at that time complex enough that you can attempt an OTA brick? Are radios from 1984 mostly analogue?

Which Bossware SaaS has such sophisticated NLP?

Looking forward to differentiable programming in Fortran.

It is great until your charity gets acquihired by a big think tank/bigger charity/international aid group and most doctors/charity operators are not known for their talent at scali…

I think Tensorflow with Swift or Rust bindings may also work.

Just do a quick search for transparent LCDs, I think it will answer your question. (Not enough light gets through, the result looks more like high resolution stained glass than a R…

Have you considered using an off the shelf differentiable programming implementation? Or are the requirements for real-time applications too demanding for existing software?

How does the differentiable programming implementation work?

It goes back way further than that, the incidents that I am recalling involved academic teams and I think ImageNet. It happened quite a few times.

Another duopoly that needs more competition is push notification infrastructure. Efficient push notification requires OS vendor server support due to radio usage and agreements wit…

There was a scandal a few years back when a Kaggle team did something simar with ML. They were treating the competition as a black box and optimising for the unknown dataset instea…

Compilation speed comparable to template heavy C++, a large difference compared to Go for similarly sized projects

The problem is that the aforementioned advances tend to often be 1) Patent encumbered, 2) Difficult to scale and put into production i.e. works only under very specific conditions …

A major issue with biology is the compensation. Biology compensation is notoriously bad outside of accredited medicine.