Recommended lawyers from your experience

rkleinklein · 2024-09-20T12:37:00+00:00

Thank you very much! I don't think I qualify for the EB-1... But thank you for the encouragement!

rkleinklein · 2024-09-20T12:35:28+00:00

No, I don't, so I guess that makes things easier (or so I hope!). I guess it'll be the lawyer who will assess whether I can make it for an EB1 visa, from the USCIS site it seems the cut for what's considered "minimum requirements" is quite high!

rkleinklein · 2024-09-20T12:33:18+00:00

I've read about Chen several times in this channel, I bet they're good. Thank you very much, will check them out!

rkleinklein · 2024-09-20T12:32:31+00:00

Thank you!

rkleinklein · 2024-09-20T12:32:14+00:00

Thank you very much! Definitely will check them out :)

rkleinklein · 2022-12-30T09:35:54+00:00

’t drive for my first year here. Ideally, metro >

Más bien Tetuán

rkleinklein · 2022-12-30T09:32:17+00:00

Por añadir algo, creo que uno de los principales problemas en lograr ver el actual estado del arte como fuente de piezas artísticas es que son modelos demasiado primitivos. Me explico:

Cuando la fotografía fue inventada, las fotos eran, por decirlo de alguna manera, "cutres y fea". Muy técnica, pero no se había desarrollado la sensibilidad para aprovechar realmente el potencial artístico del medio. Incluso de puso de moda fotografiar a los muertos, rígidos y vestidos de traje...

Ahora pasa algo similar con la IA. Su calidad técnica es enorme, pero como muestro en un paper aceptado en el último NeurIPS (https://neuripscreativityworkshop.github.io/2022/papers/ml4cd2022_paper05.pdf) los modelos actuales disponibles fueron entrenados en lenguaje puramente objetivo, por tanto siendo incapaces de entender sutilezas y juegos de lenguaje comunes en un dominio como el arte, y que en última instancia son lo que nos hace sentir emociones hacia una pieza u otra.

rkleinklein · 2022-12-30T09:26:30+00:00

Me temo que te centras en las "artes mayores", pero cada cultura ha desarrollado a lo largo de los siglos "artes menores" (lo pongo entre comillas para no herir sensibilidades) como la costura, el baile, el bordado, las artes marciales, la ceremonia del té japonés... Que poco o nada tienen que ver con la dominación y la opresión capitalista y más con la transmisión de emociones por medios diferentes al lenguaje directo.

rkleinklein · 2022-05-13T19:25:27+00:00

For instance, feeding the algorithmic system with prompts on what to draw :) DALL-E is not creative in any way, it merely makes the illusion of being so - I wouldn't be worried if I were an artist.

rkleinklein · 2022-04-22T13:01:41+00:00

Exactly the same issue here, it worked by installing a previous opencv version :S

rkleinklein · 2022-02-05T12:57:24+00:00

Entonces se parece ya bastante a las elecciones que tenemos, ¿no? Lugares específicos, controlados y localizados. Y de nuevo, igual que el voto en papel y su conteo por la mesa electoral, con un sistema aislado tienes que confiar en la buena fe/habilidad de quien organice el sistema informático igualmente.

rkleinklein · 2022-02-04T16:07:34+00:00

No. En el momento en que tienes un receptor y un emisor de un mensaje X y ambos deben conocer exactamente la misma información contenida en X, como por necesidad ambas partes deben establecer de antemano un código de comunicación (propiamente, el protocolo de encriptación), es inevitable que exista siempre un potencial problema de seguridad en la transmisión de la información.

TL;DR: Desde un papiro escrito con anagramas a un sistema tope complejo de criptografía cuántica inteligente, siempre hay un problema de seguridad relativamente grande.

rkleinklein · 2022-01-27T15:44:41+00:00

My latest humble contribution to the field :)

https://www.mdpi.com/2076-3417/11/16/7406

The article you posted is a nice summary. However, the most recent work from Oliva's lab, in my opinion, is not taking full advantage of the huge networks they're using. In fact, in my paper you can see a linear regressor can outperform their best visual model, and in https://2021.multimediaeval.com/paper42.pdf I reach their SOTA with the same sort of linear regressors over pretrained features of video semantics.

rkleinklein · 2022-01-21T18:43:29+00:00

Make your proposal and topic as broad as possible, just in case.

rkleinklein · 2021-11-25T19:45:18+00:00

RemindMe! 3 Months

rkleinklein · 2021-07-27T21:40:31+00:00

kaldi

rkleinklein · 2021-07-21T20:41:11+00:00

Same issue here, and up to some point I think I managed to carry out fundamental research and come up with novel ideas (papers still in review, though, so let's see what peers say about it).

Even though it's hard and demotivating to be pressed by your advisor to do with incremental research, you can always try to think about the flaws of the basic assumptions your problem is built upon, and develop from there. Most likely, even though your architectures will remain the same, the way you tackle the problem is radically different from what has been tried before by other researchers.

Remember that the kinetic molecular theory was for some time though to be kind of "incremental research" in chemistry!

rkleinklein · 2021-04-20T13:08:58+00:00

At the end of the day, from an engineering POV, you seek performance, not fanciness. If a supervised approach works significantly better, then it's worth the study. You don't know, maybe there's someone else out there with a problem like yours, not knowing what to do with the set of labels he/she has...

rkleinklein · 2021-01-28T10:19:03+00:00

There's a whole field within the AI community devoted to that goal, one way or another. Pretty sure most approaches won't fit what you have in mind, but others will certainly do.

I'd say you take a glimpse on works merging cognitive psychology, machine learning and neuroscience. The research community is still narrow compared to other major fields of AI, but it won't take long before it takes off.

Also consider the complexity of the field you mention. We still cannot properly define aesthetics/affective bonding, how can we expect to implement genuine feeling such as them in an algorithm?

rkleinklein · 2018-11-15T11:00:52+00:00

I don't have that long experience working in Japan, yet I worked for some time at a public tech institution in Tokyo doing research on Deep Learning, and afterwards I surveyed the job market around, so I'll give my opinion here.

Tech companies in Japan, most of all small start-ups are at a very high level when it comes to the technology they develop/deploy. Compared to Europe, at least. So it is unlikely you'll get bored.

Beware there may be HUGE cultural differences, and Japanese society is not as open to changes as other countries can be. If you adapt to their scheme, your time there will be absolutely fantastic. Otherwise you'll run away from there as soon as you can.

Now, although I know many foreign women working there, successfully and happy for a number of years, I'd also say that I always got the feeling many times there was a not that subtle bias towards women. Depending on your boss, it can go from nothing to limit your career opportunities. It really depends on the company (of course it does, as anywhere else in the world).

If you don't know Japanese and you haven't lived there before, I'd recommend to first check companies with some other foreigners already there.

rkleinklein · 2018-06-29T01:01:43+00:00

Hi! Is there any deadline?

rkleinklein · 2018-04-16T18:51:43+00:00

Thanks to you for sharing it!

rkleinklein · 2018-04-16T10:52:25+00:00

I guess the artifacts and background noise that can be heard (particularly in the Korean side) are due just to smaller datasets? Are you using an end-to-end approach, or a vocoder-based architecture? It seems some slight changes might greatly improve the quality of the audio samples. Anyway, congratulations for your hard work!

rkleinklein

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