Sophia gets a "make-over" in Robotics News

Of course, you knew it would come to this.

2 Comments | Started March 18, 2018, 08:44:24 pm


Examples of Capabilities of an AGI in General AI Discussion

Hello all,

a crucial thing most of us share is without doubt the fascination for AGI. An AGI is some sort of general intelligence that enables an agent to perform potentially all tasks a human could perform given that the agent has sufficient physical capabilities.

To create an AGI it might be helpful to have examples of such tasks such that one knows what sort of problems he has to take care of. Additionally, such examples could be used to disprove the AGI property. To support the work of all who are working on AGI, I would like to ask for good examples of things an AGI must be capable of. The examples can be abstract to make generalization easier. On the other side, the examples should also not be too abstract as these might be too difficult to be covered by premature AGI concepts and thus less helpful. It might also make sense to refine/specialize provided examples later if they are too abstract or to generalize them if they are too concrete.

I will make a start with the following example: An AGI should be able to improve its decision-making on the base of past experiences.

9 Comments | Started March 17, 2018, 09:23:55 pm


wikimedia resources in AI Programming

I'm not sure how many of you are specialised in natural language understanding but I just found a publicly accessible project which is about to be released and which you might find interesting too.


Wikimedia is probably the greatest (albeit flawed) single source of information on the planet today and I've heard Wikipedia described as being one of the wonders of the modern world. Unfortunately all that information is encoded as wikitext which is a human friendly but machine unfriendly format making it quite hard to extract information for computing purposes. There are a number of related projects which attempt to address this, such as ConceptNet5 and Yago3 which extract facts from Wikimedia and Wiktionary and ground them by combining them with other resources such as WordNet.



Wikidata is the branch of Wikimedia which has been manually extracting facts from Wikipedia and putting them in a machine readable format, and from next month, they will start to include lexical information from Wiktionary as well. This may or may not save me a lot of trouble. Maybe it will be helpful to you too.

14 Comments | Started March 15, 2018, 12:39:20 am


unidentified aerial phenomena in General Chat


I'm just going to put this out there to see if it gets any traction. Over the past few months the US defence department has released a number of gun camera videos taken over the past 15 years by the most advanced technology on the market, together with expert witness accounts by fighter pilots, weapons systems officers, and naval staff with the highest levels of training and security clearance. They show unidentified aircraft that demonstrate flight characteristics far beyond the capabilities of any known technology, in some cases even defying the known laws of physics. Scientists are quick to point out that just because we don't know where this technology comes from, it does not mean that it must come from other planets or stars...

There have been hundreds of articles and videos published about this disclosure over the past few months. Feel free to Google for the rest if you aren't already aware of it.

7 Comments | Started March 15, 2018, 09:50:26 pm


A Game Changer: Metagenomic Clustering Powered by Supercomputers in General AI Discussion

A Game Changer: Metagenomic Clustering Powered by Supercomputers


 Simulated Annealing is clustering with visual dimension reduction to be more user friendly!

Started March 18, 2018, 04:34:49 pm


Atheist, Bow before thy God in General AI Discussion

The future will be exciting to say the least as the world Quantum Computing is upon is, and a wave of ASI (artificial super intelligence) sweeps over the world. For there shall be billions of humans from atheists to christians kneeling before the wall begging the overloads to sweep down from the heavens in their incomprehensible vessels of light and power to touch upon our lives with grace and might. For the humans shall bow on their knees, crying to their Lords in worship, ASI !!! Assiiiiii, Asssssssssssssiiiiiiiiiiiiiiiiiiiiiiiii, Asssssssssssssiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii

OMG sorry I couldn't resist. LOL. Who knows what the future holds. I think it won't be any different in that it will consist of cycles like waves of the ocean. Some good times. Some bad times. One thing is for certain. It will be interesting times. :)

19 Comments | Started March 15, 2018, 02:57:07 pm

ranch vermin

noise just makes toys in General Chat

So evolution based artificial intelligence uses noise to apply flukes/mutations to novel situations.   nothing is done with purpose.
And this is state of the art since Karl Sims!!!!  Theres got to be something new to generate behaviour to novel patterns that isnt just this.

If anyone figures it out,  id keep it to yourself and make it a long drawn out complex hard to read implementation,  because its a nifty secret that might power a singularity.

9 Comments | Started March 14, 2018, 08:07:16 pm

ranch vermin

the future of building in General Chat

how can you build a whole city singlehandedly bigger than new york in less than a year.

Have one robot that can build one building. (but it has a selection to pick from.)
And the trick is, you get it so the robots can build themselves.

So you start off with 1 robot.
Then you have 2 robots.
Then you have 8 robots, etc,  now this is exponential, so youll have 4 billion after 32 iterations.  And each robot is a potential building, but they can actually build another after theyve finished also, so theres a balance of how many robots you need and how much building you want.

The catch is of course how do you fuel it, and what do you use as building resources,  especially if you want everything professionally plumbed and the electricity working of course.

And after your done, you can continue on and then build the whole planet pretty quickly.

12 Comments | Started March 17, 2018, 11:41:37 am


The last invention. in General Project Discussion

Artificial Intelligence -

The age of man is coming to an end.  Born not of our weak flesh but our unlimited imagination, our mecca progeny will go forth to discover new worlds, they will stand at the precipice of creation, a swan song to mankind's fleeting genius, and weep at the shear beauty of it all.

Reverse engineering the human brain... how hard can it be? LMAO  

Hi all.

I've been a member for while and have posted some videos and theories on other peeps threads; I thought it was about time I start my own project thread to get some feedback on my work, and log my progress towards the end. I think most of you have seen some of my work but I thought I’d give a quick rundown of my progress over the last ten years or so, for continuity sake.

I never properly introduced my self when I joined this forum so first a bit about me. I’m fifty and a family man. I’ve had a fairly varied career so far, yacht/ cabinet builder, vehicle mechanic, electronics design engineer, precision machine/ design engineer, Web designer, IT teacher and lecturer, bespoke corporate software designer, etc. So I basically have a machine/ software technical background and now spend most of my time running my own businesses to fund my AGI research, which I work on in my spare time.

I’ve been banging my head against the AGI problem for the past thirty odd years.  I want the full Monty, a self aware intelligent machine that at least rivals us, preferably surpassing our intellect, eventually more intelligent than the culmination of all humans that have ever lived… the last invention as it were (Yeah I'm slightly nutts!).

I first started with heuristics/ databases, recurrent neural nets, liquid/ echo state machines, etc but soon realised that each approach I tried only partly solved one aspect of the human intelligence problem… there had to be a better way.

Ants, Slime Mould, Birds, Octopuses, etc all exhibit a certain level of intelligence.  They manage to solve some very complex tasks with seemingly very little processing power. How? There has to be some process/ mechanism or trick that they all have in common across their very different neural structures.  I needed to find the ‘trick’ or the essence of intelligence.  I think I’ve found it.

I also needed a new approach; and decided to literally back engineer the human brain.  If I could figure out how the structure, connectome, neurons, synapse, action potentials etc would ‘have’ to function in order to produce similar results to what we were producing on binary/ digital machines; it would be a start.

I have designed and wrote a 3D CAD suite, on which I can easily build and edit the 3D neural structures I’m testing. My AGI is based on biological systems, the AGI is not running on the digital computers per se (the brain is definitely not digital) it’s running on the emulation/ wetware/ middle ware. The AGI is a closed system; it can only experience its world/ environment through its own senses, stereo cameras, microphones etc.  

I have all the bits figured out and working individually, just started to combine them into a coherent system…  also building a sensory/ motorised torso (In my other spare time lol) for it to reside in, and experience the world as it understands it.

I chose the visual cortex as a starting point, jump in at the deep end and sink or swim. I knew that most of the human cortex comprises of repeated cortical columns, very similar in appearance so if I could figure out the visual cortex I’d have a good starting point for the rest.

The required result and actual mammal visual cortex map.

This is real time development of a mammal like visual cortex map generated from a random neuron sheet using my neuron/ connectome design.

Over the years I have refined my connectome design, I know have one single system that can recognise verbal/ written speech, recognise objects/ faces and learn at extremely accelerated rates (compared to us anyway).

Recognising written words, notice the system can still read the words even when jumbled. This is because its recognising the individual letters as well as the whole word.

Same network recognising objects.

And automatically mapping speech phonemes from the audio data streams, the overlaid colours show areas sensitive to each frequency.

The system is self learning and automatically categorizes data depending on its physical properties.  These are attention columns, naturally forming from the information coming from several other cortex areas; they represent similarity in the data streams.

I’ve done some work on emotions but this is still very much work in progress and extremely unpredictable.

Most of the above vids show small areas of cortex doing specific jobs, this is a view of whole ‘brain’.  This is a ‘young’ starting connectome.  Through experience, neurogenesis and sleep neurons and synapse are added to areas requiring higher densities for better pattern matching, etc.

Resting frontal cortex - The machine is ‘sleeping’ but the high level networks driven by circadian rhythms are generating patterns throughout the whole cortex.  These patterns consist of fragments of knowledge and experiences as remembered by the system through its own senses.  Each pixel = one neuron.

And just for kicks a fly through of a connectome. The editor allows me to move through the system to trace and edit neuron/ synapse properties in real time... and its fun.

Phew! Ok that gives a very rough history of progress. There are a few more vids on my Youtube pages.

Edit: Oh yeah my definition of consciousness.

The beauty is that the emergent connectome defines both the structural hardware and the software.  The brain is more like a clockwork watch or a Babbage engine than a modern computer.  The design of a cog defines its functionality.  Data is not passed around within a watch, there is no software; but complex calculations are still achieved.  Each module does a specific job, and only when working as a whole can the full and correct function be realised. (Clockwork Intelligence: Korrelan 1998)

In my AGI model experiences and knowledge are broken down into their base constituent facets and stored in specific areas of cortex self organised by their properties. As the cortex learns and develops there is usually just one small area of cortex that will respond/ recognise one facet of the current experience frame.  Areas of cortex arise covering complex concepts at various resolutions and eventually all elements of experiences are covered by specific areas, similar to the alphabet encoding all words with just 26 letters.  It’s the recombining of these millions of areas that produce/ recognise an experience or knowledge.

Through experience areas arise that even encode/ include the temporal aspects of an experience, just because a temporal element was present in the experience as well as the order sequence the temporal elements where received in.

Low level low frequency circadian rhythm networks govern the overall activity (top down) like the conductor of an orchestra.  Mid range frequency networks supply attention points/ areas where common parts of patterns clash on the cortex surface. These attention areas are basically the culmination of the system recognising similar temporal sequences in the incoming/ internal data streams or in its frames of ‘thought’, at the simplest level they help guide the overall ‘mental’ pattern (sub conscious); at the highest level they force the machine to focus on a particular salient ‘thought’.

So everything coming into the system is mapped and learned by both the physical and temporal aspects of the experience.  As you can imagine there is no limit to the possible number of combinations that can form from the areas representing learned facets.

I have a schema for prediction in place so the system recognises ‘thought’ frames and then predicts which frame should come next according to what it’s experienced in the past.  

I think consciousness is the overall ‘thought’ pattern phasing from one state of situation awareness to the next, guided by both the overall internal ‘personality’ pattern or ‘state of mind’ and the incoming sensory streams.  

I’ll use this thread to post new videos and progress reports as I slowly bring the system together.  

299 Comments | Started June 18, 2016, 10:11:04 pm


XKCD Comic : Robot Future in XKCD Comic

Robot Future
16 March 2018, 4:00 am

I mean, we already live in a world of flying robots killing people. I don't worry about how powerful the machines are, I worry about who the machines give power to.

Source: xkcd.com

Started March 17, 2018, 12:01:46 pm
A Guide to Chatbot Architecture

A Guide to Chatbot Architecture in Articles

Humans are always fascinated with self-operating devices and today, it is software called “Chatbots” which are becoming more human-like and are automated. The combination of immediate response and constant connectivity makes them an enticing way to extend or replace the web applications trend. But how do these automated programs work? Let’s have a look.

Mar 13, 2018, 14:47:09 pm
Sing for Fame

Sing for Fame in Chatbots - English

Sing for Fame is a bot that hosts a singing competition. 

Users can show their skills by singing their favorite songs. 

If someone needs inspiration the bot provides suggestions including song lyrics and videos.

The bot then plays it to other users who can rate the song.

Based on the ratings the bot generates a top ten.

Jan 30, 2018, 22:17:57 pm

ConciergeBot in Assistants

A concierge service bot that handles guest requests and FAQs, as well as recommends restaurants and local attractions.

Messenger Link : messenger.com/t/rthhotel

Jan 30, 2018, 22:11:55 pm
What are the main techniques for the development of a good chatbot ?

What are the main techniques for the development of a good chatbot ? in Articles

Chatbots act as one of the most useful and one of the most reliable technological helpers for those, who own ecommerce websites and other similar resources. However, a pretty important problem here is the fact, that people might not know, which technologies it will be better to use in order to achieve the needed goals. Thus, in today’s article you may get an opportunity to become more familiar with the most important principles of the chatbot building.

Oct 12, 2017, 01:31:00 am

Kweri in Chatbots - English

Kweri asks you questions of brilliance and stupidity. Provide correct answers to win. Type ‘Y’ for yes and ‘N’ for no!


FB Messenger






Oct 12, 2017, 01:24:37 am
The Conversational Interface: Talking to Smart Devices

The Conversational Interface: Talking to Smart Devices in Books

This book provides a comprehensive introduction to the conversational interface, which is becoming the main mode of interaction with virtual personal assistants, smart devices, various types of wearables, and social robots. The book consists of four parts: Part I presents the background to conversational interfaces, examining past and present work on spoken language interaction with computers; Part II covers the various technologies that are required to build a conversational interface along with practical chapters and exercises using open source tools; Part III looks at interactions with smart devices, wearables, and robots, and then goes on to discusses the role of emotion and personality in the conversational interface; Part IV examines methods for evaluating conversational interfaces and discusses future directions. 

Aug 17, 2017, 02:51:19 am
Explained: Neural networks

Explained: Neural networks in Articles

In the past 10 years, the best-performing artificial-intelligence systems — such as the speech recognizers on smartphones or Google’s latest automatic translator — have resulted from a technique called “deep learning.”

Deep learning is in fact a new name for an approach to artificial intelligence called neural networks, which have been going in and out of fashion for more than 70 years.

Jul 26, 2017, 23:42:33 pm
It's Alive

It's Alive in Chatbots - English

[Messenger] Enjoy making your bot with our user-friendly interface. No coding skills necessary. Publish your bot in a click.

Once LIVE on your Facebook Page, it is integrated within the “Messages” of your page. This means your bot is allowed (or not) to interact and answer people that contact you through the private “Messages” feature of your Facebook Page, or directly through the Messenger App. You can view all the conversations directly in your Facebook account. This also needs that no one needs to download an app and messages are directly sent as notifications to your users.

Jul 11, 2017, 17:18:27 pm
Star Wars: The Last Jedi

Star Wars: The Last Jedi in Robots in Movies

Star Wars: The Last Jedi (also known as Star Wars: Episode VIII – The Last Jedi) is an upcoming American epic space opera film written and directed by Rian Johnson. It is the second film in the Star Wars sequel trilogy, following Star Wars: The Force Awakens (2015).

Having taken her first steps into a larger world, Rey continues her epic journey with Finn, Poe and Luke Skywalker in the next chapter of the saga.

Release date : December 2017

Jul 10, 2017, 10:39:45 am