WEEK 5 [17.12 - 23.12.2018] Multi-agent evolutionary systems for the generation of complex virtual worlds

Hi, today I would like to present to you the article about Multi-agent evolutionary systems for the generation of complex virtual worlds.

Link to the article:

https://arxiv.org/ftp/arxiv/papers/1604/1604.05792.pdf

Currently, movies, games and virtual reality applications depend to a large extent on computer graphics. Very complex models are often used to present many scenes and environments. Some works such as rendering, composition and animation have already been improved, but the modeling of complex models is still a laborious task. The authors of the article presented the use of an interactive genetic algorithm (IGA) for modeling computer graphics while compensating for user's program fatigue. The genetic algorithm is taught based on the choices made by the designer. Man chooses candidate solutions to be used in the evolution of the next generation of urban area. The training agent monitors the choices made by man. The training agent classifies new generations of sites based on several available classification algorithms and takes new decisions according to these classifications. The decisions made lead to actions, in this case the selection of new candidates. These choices are reintroduced into the genetic algorithm. The results indicate that the use of an Interactive  Genetic  Algorithm  with  a multi-agent implementation of a Human-Based Genetic Algorithm HBGA  allows for a greater exploration of the design space in a shorter time. Thanks to this, designers are less tired and can devote their attention to other details of created projects.

Questions:

1. Do you think that in the future human interference in the creation of artificial virtual worlds will be negligible and the whole creation process will be performer by appropriate algorithms?

2. Do you think that it is possible that artificial intelligence algorithms (not necessarily genetic algorithms) can help graphic designers and designers to create not only schematics of virtual worlds composed of simple elements, but also to choose colors, textures etc.?

3. Do you think that the semi-automatic solution presented in the article (part of the work is done by genetic algorithms, which is supervised and evaluated by a human being) will be used by filmmakers or computer games to save designers time? Would the quality of such a solution differ significantly from human work itself?

4. Do you think that there is a possibility to create an AI-based graphics engine that would allow anyone, even a non-graphic designer, to create a virtual world that does not diverge from today's high-resolution 3D computer graphics standards?

 

WEEK 5 [17.12 - 23.12.2018] EEG and Brain Computer Interfaces

I would like to present you article about electroencephalography and Brain Computer Interfaces which are based on EEG.

Electroencephalography (EEG) is a technique dedicated to register and monitor brain electrical activity. It is  non-invasive measurement of specific waveforms emitted by a human brain. This activity is recorded with electroencephalograph – a special type of amplifier dedicated to signals of small amplitude, such as EEG signal. The signal is gathered from human scalp by dedicated electrodes and it is sent in real time to a computer, where it is analyzed and applied in different studies. EEG signal depends on the age of the patient, the activity performed and other psychophysical aspects. EEG signal analysis might be used in wide range of applications. It is usually applied in ambulatory and clinic applications, e.g. for monitoring patients being in coma or suffering from epilepsy or sleep disorders.

Nowadays EEG analysis is also applied in construction of brain computer interfaces (BCIs) which implement the set of methods enabling users to establish and conduct communication with computers and other devices without use of usual physical capabilities of their bodies.

BCI might be applied in software projects but they also might be used in hardware applications to control robotic devices performing such functions as transporting or

manipulating. BCI supports motion of disabled people who have serious diseases or injuries. 
There are three main paradigms of BCI based on EEG techniques: P300, steady state visual evoked potentials (SSVEP) and motor imagery (MI). P300 paradigm is based on event-related potentials which appear as a reaction to a specific stimulus at time between 300 and 600 ms after the demonstration of expected stimulus. SSVEP is related to the visual stimulus presented with the specific frequency. The frequency of the stimulus might be observed in EEG signal of examined person. MI is associated with moving of various parts of body e.g.: left/right hand, tongue or foot and it is based on event-related desynchronization/synchronization.

https://www.researchgate.net/publication/262963497_EEG-Based_Brain-Computer_Interfaces_A_Thorough_Literature_Survey

Questions:

1.     What do you think is it possible that we will have opportunity to use Brain Mobile Phone Interface widely?

http://www.ijirae.com/volumes/vol1/issue8/SPCS10103(46).pdf?fbclid=IwAR2ZW_NrT7LDFDTysxRuPcyaJp_itXUhs1dDtAaJCtP-951obN77OjZcMoI

2.     Have you ever participated in EEG experiment? If yes, did you like it?  If no would you like to participate in one?

3.     How Brain Computer Interfaces can help disabled people? Provide some examples.

4.     Does the EEG technique can be applied in cryptography for key generation?

Week 4 [3-9.12.18], An introduction to modern missing data analyses

Hi,

Today I would like to present an article on data analysis. Some of us are researchers who base their doctoral thesis on the results obtained from their own experiment. It is obvious that we draw conclusions from the experiment on the basis of the analysis of the received data. Unfortunately, it is very often the case that we do not have some data.  This may be the result of a poorly designed experiment. Sometimes a failure of the measuring device or a data acquisition software error can occur. However, most often it is the result of a human error, who has not done his or her work accurately and reliably. The result of such errors is the loss of important data.  Missing data is therefore inevitable in research. This problem concerns not only social sciences, but also those related to computer science, this problem is especially related to social computer science, where human behaviour is a dependent variable. The solution to such problems are different methods of data replacement, but in literature their potential undermining the credibility of such research results has often been omitted. This is partly due to the fact that statistical methods, which can solve the problems resulting from missing data, were until recently not readily available to researchers. Therefore, I would like to present you with different approaches to the problem of replacing lost or missing data. I am enthusiastic about the possibilities of algorithms that can improve the reliability of research results and reduce the waste of resources caused by missing data. The cost of algorithms is small compared to the cost of data collection. As a result, it is no longer possible to justify the missing values and the reason for which they were swept under the carpet, nor the potentially misleading and ineffective analysis of complete cases that can be considered appropriate.

http://212.182.24.107/owncloud/index.php/s/0vqQ50ZQ5xM8B9b

Questions

1. Does the method of replacing empty data make sense?

2. does the method of deleting whole lines with incomplete data give better results than substitution?

3.Which method of data replacement is more efficient; Maximal probability or multiple imputation?

4.How can researchers use missing data to improve their research projects?

Week 4 [3-9.12.18], How Machine Learning Is Changing the World and Your Everyday Life

Hi everyone!
Today I want to show you summary changes which would be made when machine learning go further. The article shows how AI could automate a large portion of skilled labor.

https://www.entrepreneur.com/article/312016

Here is some question:
1)Do you think that AI should be so widely used?

2)Are there professions that can be replaced, but we shouldn't do this? If so, which ones?

3) Do you have an idea how machine learning can be used to make life difficult for us instead of improving it?

4)Do you think that AI with data about disease from all the world could have worse result than doctor with long term experience? "Who" in your opinion will make a better diagnosis?

Week 4 [3-9.12.18] Improving image quality - DIY with Deep Learning

Hello, today I have a few articles about image processing for you:

https://venturebeat.com/2018/07/09/nvidia-uses-ai-to-clean-up-messy-photos/
https://arxiv.org/abs/1803.04189
https://www.engadget.com/2018/07/10/nvidia-ai-fix-bad-photos-deep-learning/

(I don't want to spark controversy. Why are so many articles here about controversial topics? I could have also gone for: https://www.engadget.com/2018/11/29/china-halts-gene-edited-baby-research/ - but I don't want to discuss ethics all the time).

1. Do you like taking photos? Are they sometimes e.g. noisy, or have any other problems (blur, under/over-exposure etc.)?

2. Do you use any methods to improve the quality of them? (yours or otherwise?)

3. How about using open sourced or published methods for such processing? Is it better or worse than just trusting your smartphone camera application, which has one button "Make Me Pretty!", that we don't know the workings of?

4. After taking a look at this, do you have an interest in trying out some of the deep learning image processing available e.g. on GitHub? Or maybe you have tried it already and can share a story? (Things like TL-GAN: https://www.youtube.com/watch?v=O1by05eX424 also count)

Week 4 [3-9.12.18] Saving the digital world

Hi everyone !!!

I have found a very interesting ariticle about saving digitlal data for future population. Today many articles, photos, posts are published in the internet. The technology is changing and we have no guarantee that this data won’t disappiered somedays or we couldn’t open it witch new programs. 

Read this article https://www.nature.com/articles/d41586-018-07505-8 and answer some questions:

1. What is the biggest problem with archiving digital data?
2. How to protect data from being manipulated before archiving it?
3. How can we help this people to build a library of our history?
4. What data should we archiving?

Week 4 [3-9.12.18] AT, robots & big companies ...

Yes I know ... Today is 1st of December 2018 but it's likely that on Monday, December 3, 2018 I will not have access to the Internet, so

Two days ago I read an article by Karl Frederick Rauscher. He is a Bell Labs Fellow, commissioner of the Global Information Infrastructure Commission (GIIC) and serves on numerous governance and strategic advisory boards. An article published on November 26, 2018 regarding threats related to artificial intelligence, robots and big companies that want to launch robots and artificial intelligence on the market. Here is the link ... https://blogs.scientificamerican.com/observations/can-we-avoid-the-potential-dangers-of-ai-robots-and-big-tech-companies/

Accordingly, if ...
1. Are there reasons to be afraid of artificial intelligence and robotics and are they justified?
2. Reasonable people should be concerned about what can cause robots with their introduction into everyday life?
3. Artificial intelligence can compete with our brains, and robots can compete with the activities we do, and maybe in many cases they can be better than us?
4. You agree that the more time passes, the better will be the robots equipped with artificial intelligence, while our own capabilities will rather remain at the same level?