Пікірлер

• 
  @laedingr6 күн бұрын

  If you really know what he is talking about, you will realise this is so so much under rated lecture

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  @d3binxАй бұрын

  Great talk, thanks!

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  @Grow.YT.Views.3432Ай бұрын

  I can't wait to see where your talent takes you next. Exciting times ahead!

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  @JohlBrownАй бұрын

  what up first

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  @danilkutnyАй бұрын

  Very boring! He is an accountant of deep leaning! I'm gonna work on big things and try to do a giant leap, I hate reading unlimited papers to combine them and get another 0.001% accuracy and make code even more complex

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  @Content4free78Ай бұрын

  This will Create Jurassic Park

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  @subhamkundu5043Ай бұрын

  There is no sound in the video

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  @dg-ov4cfАй бұрын

  wtf is bioprelogy

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  @mrazoАй бұрын

  Sorry, but what's the point of uploading this video without audio? A slide show with no context?

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  @OldScientist2 ай бұрын

  "As regards disease, the Lancet's Countdown on Health and Climate Change (2019) shows Climate-related deaths are a small proportion of all-cause fatalities (1990-2017). That is based on data per IHME (2019), and between 1990 and 2017, the cumulative age-standardized death rate (ASDRs) from climate-sensitive diseases and events (CSDEs) dropped from 8.1% of the all-cause ASDR to 5.5%, while the age-standardized burden of disease, measured by disability-adjusted life years lost (DALYs) declined from 12.0% to 8.0% of all-cause age-standardized DALYs. Thus, the burdens of death and disease from CSDEs are small, and getting smaller. However, the declines in death and disease rates from CSDEs since 1990 are only a small proportion of longer-term declines across the globe. In the USA, one of the few places with good long-term data, death rates from dysentery, typhoid, paratyphoid, other gastrointestinal diseases, and malaria - all water-related diseases and therefore, almost by definition, climate-sensitive declined 99-100% between 1900 and 1970. We are solving our problems with CSDEs faster than we are solving our other health problems." Indur M. Goklany

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  @oneJL3 ай бұрын

  I enjoyed your presentation and found the concepts quite engaging! I do have a small note regarding the section at 9:30. It appears that the bottom left image represents a grammar-based genotype, and the upper left shows the phenotype of modular robots. The transition from genotype to phenotype fits the term "decoding". While the arrow indicating the progression from the modular robot design/phenotype to the 3D printable stl file along with other related outputs for fabrication and control, is separate from the decoding process and more accurately described as "modeling and exporting". Thought this might help clarify. Keep up the fantastic work!

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  @420_gunna3 ай бұрын

  8:00 It's incorrect as far as I know to refer to this as the "foundation modeling stage" -- I don't understand where that conflation of terms came from -- the massive _pre-training_ stage (together with later instruction-tuning/RLHFing) _produce_ a foundation model, but there's no such explicit stage in training.

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  @namlethe14 ай бұрын

  How do you overcome the problem is when project 3D points from dense point cloud to 2D pixel coordinate, we have many 3D point lie on a light ray together?. How do you choose the right 3D point? I am very curious, please

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  @OmarSharrab4 ай бұрын

  1st

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  @neillamas89295 ай бұрын

  Thanks! Very interesting talk

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  @qandstuff5 ай бұрын

  That was wonderful, well done!

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  @roskapostit26096 ай бұрын

  This was an excellent example how to introduce a study. Effective and short. I liked it very much. In my case very helpful. Thank you.

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  @user-to3gd2ut9f7 ай бұрын

  how can i have a co-supervisor from another country please i'm very interesting

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  @user-wz4ss4jn9l7 ай бұрын

  For all you premeds, med students or residents.. Good luck!

• 
  @chrishare7 ай бұрын

  Nice talk

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  @devsutong7 ай бұрын

  23:05 The irony of Meta "supporting" OS 😂💔

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  @EEE-bangla7 ай бұрын

  Love this

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  @TheAIEpiphany8 ай бұрын

  Great talk Angela! Would love to have you in my server to talk about the NLLB project :)

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  @angloland45398 ай бұрын

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  @amelieschreiber65029 ай бұрын

  Tim, you are amazing and you are doing such amazing work. Thank you for your contributions and all the hard work you do. QLoRA is nothing short of genius. I've found it a very effective regularization tool as well and it appears to improve generalization in protein language models like ESM-2. Again, thank you for all the incredible work you do. You're awesome!

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  @Sporkomat9 ай бұрын

  Great talk!

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  @FinnBrownc9 ай бұрын

  Glad he acknowledges that not everyone had access to PCs and the internet. Important to do.

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  @georgekarniadakis508910 ай бұрын

  Great to use PINNs and they are usreful to use but you need to acknowledge the PINNs paper and ion fact you used the PINN schemnatic from our papers withiut acknowledging it! This is called plagiarism....

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  @jeromeeusebius10 ай бұрын

  Thanks for sharing this talk. Very interesting and has a lot of information and useful research directions.

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  @evanfreethy257410 ай бұрын

  Now that it's 2023, where are we at with this approach...

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  @jimbroiles690511 ай бұрын

  This could have been easily a 90 minute talk. Ridiculous format to give only 20 minutes. There needs to be more than just obfuscating practical aspects of implementation. Even the author says he doesn't believe it will work with today's technology platforms if I understood correctly. Side note to the presenter. Be more assertive and a bit less patronizing in the tone of your presentation. While you had valuable information, I did have to grit my teeth to get through the supercilious style in which you delivered.

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  @spes9850401 Жыл бұрын

  Thank you. Great presentation. you are very beautiful

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  @nnamdiugwuoke3969 Жыл бұрын

  Interesting

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  @GesualdoAnselmi Жыл бұрын

  Shitheads of researchers. You really would like to destroy the music business.

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  @avisiktachakraborty3438 Жыл бұрын

  Topic--safety of aeronautical machine

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  @Travelingwithabbc Жыл бұрын

  Thanks for sharing this Michal

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  @surajbade5401 Жыл бұрын

  Great explanation

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  @chetnaaggarwal8668 Жыл бұрын

  Your survey and this video helped me in my work.

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  @frun Жыл бұрын

  I think quantum vacuum is the coarse grained description of the excited state. The same way quasiparticles perceive a condensate as the vacuum. Integration of the superluminal degrees of freedom gives the "vacuum", hence the speed of light limit.

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  @wasiusulaimon1147 Жыл бұрын

  Thank you Dr. How can we have access to the time series data for the measurements? I will be glad if this could be provided for reproduction.

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  @jonatapaulino Жыл бұрын

  Thanks a lot for the explanations. I'm stuck on a water drop count project, the fps is too low. Would you have any tips to increase the fps when counting the drops? If not, the count will not be correct knowing that each cell phone has a different fps. Thanks.

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  @swarajnanda5990 Жыл бұрын

  Thanks for the talk! This was encouraging.

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  @claramkim2979 Жыл бұрын

  Thank you for sharing the video! Can I see the presentation file online?

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  @korneylobyntsev Жыл бұрын

  Thank you so much for this video. Very interesting.

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  @khaldjinnah3602 Жыл бұрын

  thank you, wonderful presentation

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  @deeplearningpartnership Жыл бұрын

  Very interesting.,

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  @krpz1 Жыл бұрын

  This is the second time I found this video, I think.

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  @richinex Жыл бұрын

  interesting presentation

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  @riasatazim8040 Жыл бұрын

  Great Presentation. It is not my area of expertise but it introduced me to an interesting research direction.

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  @gabgab2081 Жыл бұрын

  Are these features still under development or are they already ready for use?