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1
General Chat / Re: Good language for metaprogramming?
« Last post by Zero on Today at 02:44:48 pm »
... which makes Julia sexy again! Thanks for the link, I'll look into Julia's metaprogramming capabilities. :)
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General Project Discussion / Re: Airbender
« Last post by Zero on Today at 02:24:06 pm »
So, there has been work done here. Airbender is bigger! Doc is still minimal, there's only a vocabulary reference list. I'll explain various techniques and concepts more in depth soon.
Home: https://github.com/ThinkbotsAreFree/Airbender
Interpreter: https://thinkbotsarefree.github.io/Airbender/
Reference: https://github.com/ThinkbotsAreFree/Airbender/wiki/Builtin-vocabulary
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General AI Discussion / Re: AI interfacing with equipment mainteance work
« Last post by Art on Today at 02:19:51 pm »
I tend to view most of this as having an A.I. be Reactive rather than Predictive. Meaning that predicting is a summation based on collections of historical data whereas reactive is an operation to correct an event (unexpected/undesired/-expected/normal) that has just happened.

If an industry had a number of wheeled containers in service that suddenly began having issues, they would send individuals to investigate the incidents, assess the damage if present and collect as much information as possible.

The individuals would then examine those containers and note which numbered series of these containers had these events/failures.
They would likewise inspect the other operational series in their company to compare.

One of the pieces of collected information might be the age or length of time in service of that wheeled container prior to the failure.
Another item of concern would be the part or area of the failure. Some forensic examination by a structural/mechanical specialist might be necessary.

Once all data has been collected, it can be entered into a computer to see resultant data plots of the affected containers.

If there is indeed, historical evidence that a certain series of containers failed after a given period of time, then a Predictive analysis of them could be made. This might necessitate all wheeled containers in a certain series being periodically inspected, removed from service or have appropriate repairs done to them to prevent the failure(s) from happening.

The Reactive part is doing something After one of the containers fails. This usually happens at the very beginning of a line of impending failures. It is the first domino that topples in a long line of dominos. Once we learn why being reactive isn't enough or isn't the best possible path, we can then work out being more predictive. This is usually true of many things.

Having said that, I still do not believe it would be practical or possible to place sensors on every location of every container (or item) and be able to predict when something is going to break or fail.  Historical analysis is the "Crystal Ball" of Predictive behavior.
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General Chat / Re: Good language for metaprogramming?
« Last post by Ultron on Today at 12:21:48 pm »
I mentioned this previously however I concluded there is no interest on the topic. Check out my reply at

http://aidreams.co.uk/forum/index.php?topic=13359.msg54760;topicseen#new

I personally work with Javascript in various project with various requirements but would never use it for the discussed application.
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Robotics News / Anant Agarwal, MIT professor and edX CEO, wins Yidan Prize
« Last post by Tyler on Today at 12:00:28 pm »
Anant Agarwal, MIT professor and edX CEO, wins Yidan Prize
18 September 2018, 6:30 pm

On Sept. 15 the Yidan Prize named MIT professor and edX co-founder Anant Agarwal as one of two 2018 laureates. The Yidan Prize judging panel, led by former Director-General of UNESCO Koichiro Matsuura, took more than six months to consider over 1,000 nominations spanning 92 countries. The Yidan Prize consists of two awards: the Yidan Prize for Education Development, awarded to Agarwal for making education more accessible to people around the world via the edX online platform, and the Yidan Prize for Education Research, awarded  to Larry V. Hedges of Northwestern University for his groundbreaking statistical methods for meta-analysis.

Agarwal is the CEO of edX, the online learning platform founded by MIT and Harvard University in 2012. He taught the first MITx course on edX, which drew 155,000 students from 162 countries. Agarwal has been leading the organization’s rapid growth since its founding. EdX currently offers over 2,000 online courses from more than 130 leading institutions to more than 17 million people around the world.

MITx, MIT’s portfolio of MOOCs delivered through edX,has also continued to expand its offerings, launching the MicroMasters credential in 2015. The credential has now been adopted by over 20 edX partners who have launched 50 different MicroMasters programs.

“I am extremely honored to receive this incredible recognition on behalf of edX, our worldwide partners and learners, from Dr. Charles Chen Yidan and the Yidan Prize Foundation. I also want to thank MIT and Harvard, our founding partners, for their pivotal role in making edX the transformative force in education that it is today. Yidan’s mission to create a better world through education is at the heart of what edX strives to do. This award will help us fulfill our commitment to reimagine education and further our mission to expand access to high-quality education for everyone, everywhere,” says Agarwal.

The Yidan Prize

Founded in 2016 by Charles Chen Yidan, the Yidan Prize aims to create a better world through education. The Yidan Prize for Education Research and the Yidan Prize for Education Development will be awarded in Hong Kong on December 2018 by The Honorable Mrs. Carrie Lam Cheng Yuet-ngor, chief executive of the Hong Kong Special Administrative Region.

Following the ceremony, the laureates will be joined by about 350 practitioners, researchers, policymakers, business leaders, philanthropists, and global leaders in education to launch the 2018 edition of the Worldwide Educating for the Future Index (WEFFI), the first comprehensive index to evaluate inputs into education systems rather than outputs, such as test scores.

Dorothy K. Gordon, chair of UNESCO IFAP and head of the judging panel, commends Professor Agarwal for his work behind the MOOC  movement. “EdX gives people the tools to decide where to learn, how to learn, and what to learn. It brings education into the sharing economy, enabling access for people who were previously excluded from the traditional system of education because of financial, geographic, or social constraints. It is the ultimate disrupter with the ability to reach every corner of the world that is internet enabled, decentralizing and democratizing education.’’

Vice President for Open Learning Sanjay Sarma praises edX for creating a platform “where learners from all over the world can access high-quality education and also for enabling MIT faculty and other edX university partners to rethink how digital technologies can enhance on-campus education by providing a platform that empowers researchers to advance the understanding of teaching through online learning.”  

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.
6
XKCD Comic / XKCD Comic : Curve-Fitting
« Last post by Tyler on Today at 12:00:26 pm »
Curve-Fitting
19 September 2018, 5:00 am

Cauchy-Lorentz:

Source: xkcd.com

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General Chatbots and Software / Re: Floatbot - chatbot platform
« Last post by Zero on Today at 08:36:04 am »
Thanks for the link.
I looked at prices, and I think a free plan would be good for your business. But that's me, and I could be wrong.

Keep up the good work.  :)
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General Chatbots and Software / Re: Floatbot - chatbot platform
« Last post by Floatbot on Today at 07:40:42 am »
Hi,

Thank you,
there are few demo bots on home page, you can have a look.
https://floatbot.ai/
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General AI Discussion / Re: AI interfacing with equipment mainteance work
« Last post by ranch vermin on September 19, 2018, 10:10:13 pm »
heres the coolest thing since sliced bread in my opinion.

https://worldmodels.github.io/


With one of these, you can "sorta" get long distance predictions, it has a problem that it can only predict ahead what its already seen before.
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General AI Discussion / Re: AI interfacing with equipment mainteance work
« Last post by Zero on September 19, 2018, 05:27:10 pm »
 O0 korrelan

I think we all would love a postcard Jambo, if one day you end up using Ai in your work! There are certainly Ai things to be done in the maintenance area.
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