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AI Programming / Re: new demo on the way
« Last post by ranch vermin on Today at 03:56:19 am »
https://www.youtube.com/watch?v=JTQUqqoPk20&feature=youtu.be   <-a more better raw view of how fast my memory system goes.  (i get bills of accesses, but this aint shit,   i have to keep my proper one a total secret!!  for u goons, i dont trust ya!!!)
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AI Programming / Re: new demo on the way
« Last post by ranch vermin on Today at 03:40:03 am »
https://www.youtube.com/watch?v=u8d6hekJMDw&feature=youtu.be

So ive got the 3d eye going again,  sorry for the delay,  I got my computer back and realized I didnt even need to send it to the shop because it was just a shader wasnt compiling!!! and i got stack overflow errors, i was dizzy in the head, and fricken forgot to test run the computeshader demo tutorial i nabbed the code off!!!   dummy.  and it ran fine.

This tests my super router, fine,   so i can go and write a ga that can have a population of over a thousand over a fair series judgement!!!  SO WATCH OUT,   anytime i want i can pull my trigger.

But... i got something even more deadly up my sleeve like jim carrey.  hence all the big waits...
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UltraHal / Re: Ultra Hal 7 - News Update
« Last post by Zero on December 12, 2017, 07:40:02 pm »
It looks cool. Is it expensive?
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UltraHal / Re: Ultra Hal 7 - News Update
« Last post by Art on December 12, 2017, 02:42:34 pm »
Just my personal take,

From what I know, it can use those tried and true MSAgent characters like Merlin, Peedy and Genie, etc., and also those Verbot characters like Sylvie, Melissa and Julie. It still handles the native Haptek characters like Mary, James, Sandy, etc. as well as any other custom Haptek characters, and their actions are smooth and fluid.
There is a new TTS voice from CereProc which can be had from Zabaware that works very nicely with the character's lip sync as well.

Cloud based learning is a big evolutionary leap for Zabaware's Ultra Hal 7 due to the staggering number of conversations gathered in the cloud.

So while the overall "look" is pretty much the same as before, the mind and learning of the new Ultra Hal 7 is greatly improved along with a very good increase in speed.

Previous Plug-ins seem to work perfectly with recent testing.

Some personal results from testing have been very pleasing and often surprising. I was especially impressed by some of the inferences Hal made while we chatted about things. I did not "parrot" or echo back what I had just said. It provided the gist of what I was saying but in it's own words, different and better than what I had said.
Another example was,It knew it was about lunch time and asked if I was going to have lunch. I said that I might have a nice small salad. It asked why? and I told it that I was trying to watch my weight. It replied something to the effect of, "So is it because you're trying to watch your weight, Art. No, because you are trying to lose some weight, is that right Art? Good!

Well...what could I say? I was both surprised and impressed. Yeah...sometimes scary smart.

I am looking forward to what Mr. Medeksza has to offer in Hal's final public release. If it's anything like what I've already seen it's going to be really fun and a lot of bang for the buck!
6
Robotics News / Four from MIT named 2017 Association for Computing Machinery Fellows
« Last post by Tyler on December 12, 2017, 12:00:16 pm »
Four from MIT named 2017 Association for Computing Machinery Fellows
11 December 2017, 4:00 pm

Today four MIT faculty were named among the Association for Computing Machinery's 2017 Fellows for making “landmark contributions to computing.”

Honorees included School of Science Dean Michael Sipser and three researchers affiliated with MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL): Shafi Goldwasser, Tomás Lozano-Pérez, and Silvio Micali.

The professors were among fewer than 1 percent of Association for Computing Machinery (ACM) members to receive the distinction. Fellows are named for contributions spanning such disciplines as graphics, vision, software design, algorithms, and theory.

“Shafi, Tomás, Silvio, and Michael are very esteemed colleagues and friends, and I’m so happy to see that their contributions have recognized with ACM’s most prestigious member grade,” said CSAIL Director Daniela Rus, who herself was named an ACM Fellow in 2014. “All of us at MIT are very proud of them for receiving this distinguished honor.”

Goldwasser was selected for “transformative work that laid the complexity-theoretic foundations for the science of cryptography.” This work has helped spur entire subfields of computer science, including zero-knowledge proofs, cryptographic theory, and probabilistically checkable proofs. In 2012 she received ACM’s Turing Award, often referred to as “the Nobel Prize of computing.”

Lozano-Pérez was recognized for “contributions to robotics, and motion planning, geometric algorithms, and their applications.” His current work focuses on integrating task, motion, and decision planning for robotic manipulation. He was a recipient of the 2011 IEEE Robotics Pioneer Award, and is also a 2014 MacVicar Fellow and a fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and of the IEEE.

Like Goldwasser, Micali was also honored for his work in cryptography and complexity theory, including his pioneering of new methods for the efficient verification of mathematical proofs. His work has had a major impact on how computer scientists understand concepts like randomness and privacy. Current interests include zero-knowledge proofs, secure protocols, and pseudorandom generation. He has also received the Turing Award, the Goedel prize in theoretical computer science, and the RSA prize in cryptography.

Sipser, the Donner Professor of Mathematics, was recognized for “contributions to computational complexity, particularly randomized computation and circuit complexity.” With collaborators at Carnegie Mellon University, Sipser introduced the method of probabilistic restriction for proving super-polynomial lower bounds on circuit complexity, and this result was later improved by others to be an exponential lower bound. He is a fellow of the American Academy of Arts and Sciences and the American Mathematical Society, and a 2016 MacVicar Fellow. He is also the author of the widely used textbook, "Introduction to the Theory of Computation."

ACM will formally recognize the fellows at its annual awards banquet on Saturday, June 23, 2018 in San Francisco, California.

Source: MIT News - CSAIL - Robotics - Computer Science and Artificial Intelligence Laboratory (CSAIL) - Robots - Artificial intelligence

Reprinted with permission of MIT News : MIT News homepage



Use the link at the top of the story to get to the original article.
7
XKCD Comic / XKCD Comic : Tinder
« Last post by Tyler on December 12, 2017, 12:00:15 pm »
Tinder
11 December 2017, 5:00 am

People keep telling me to use the radio but I really hate making voice calls.

Source: xkcd.com

8
It did not go very well, since the LSTMs are always addicted to one word, repeating it indefinitely ("no no no no", "argh argh argh", "mediocre mediocre mediocre mediocre" etc). so I decided to try a slightly less generative method.

Let's say we train four sentences.

  • A: Hello, how are you?
  • B: Great, thanks!
  • C: Oh, great then! How about you?
  • D: Great too, thanks!

These are stored into a chain, not of words, but of sentences.

To get an answer from this bot,

  • Find the top sentences with the most important words that intersect with the query. (in this case A and C)
  • Beginning with the largest intersection (A), for which the replying sentence is B, get the words of B with the highest TF-IDF words, then get ALL the words between the first and the last of these important words. ("Great,")
  • Repeat for C -> D. "Thanks!"
  • Join them correctly, in the order they were processed (or in any order you find better). ("Great, thanks!")

That should be okay for this case, but I did not test for other cases.
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AI Programming / Re: Listing States / Processes / EventActs
« Last post by Zero on December 11, 2017, 03:31:01 pm »
Here is a little EBNF. Well, almost EBNF because I didn't mention white spaces, and didn't define "text where special characters are escaped".


***************************************

   namespace prefix : "filename"

   item name -> [ meta | data ]

   item name -> relation type { slot1: item1, item2, ... ; slot2: item3; }

   item name -> ( behavior node, ... , ... )





   EBNF

   (proposed ISO/IEC 14977 standard, by R. S. Scowen)

   Usage             Notation
   -----             --------
   definition        =
   concatenation     ,
   termination       ;
   alternation       |
   optional          [ ... ]
   repetition        { ... }
   grouping          ( ... )
   terminal string   " ... "
   terminal string   ' ... '
   comment           (* ... *)
   special sequence  ? ... ?
   exception         -



source file =
{ namespace declaration } , { item definition } ;


item identifier =
text where special characters are escaped ;


namespace declaration =
item identifier , ":" , '"' , filename , '"' ;


item definition =
item identifier { "/" item identifier } , arrow , item value ;


arrow =
"->" ;


item value =
meta/data | relation | behavior ;


meta/data =
"[" , { meta/data content } , "|" , { meta/data content } , "]" ;


meta/data content =
text where special characters are escaped | item value ;


relation =
relation type , "{" , { slot description } , "}" ;


relation type
= text where special characters are escaped ;


slot description
= slot name , ":" , slot value , { additional slot value } , ";" ;


slot name
= text where special characters are escaped ;


slot value
= item identifier | item value ;


additional slot value
= "," , slot value ;


behavior
= "(" , atomic EventAct , { additional behavior content } , ")" ;


atomic EventAct
= text where special characters are escaped ;


additional behavior content
= "," , behavior content ;


behavior content
= behavior | item identifier | item value ;



***************************************
10
UltraHal / Re: Ultra Hal 7 - News Update
« Last post by Freddy on December 11, 2017, 03:28:04 pm »
Cool. How does it look visually, there were no screen shots and does it use a newer version of Haptek ?
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