TASK FOR THE COURSE ASSIGNMENT

Course: Deep Learning for Cognitive Computing: Theory

 

The major objective: 

During the assignment you are supposed to find, select, learn, apply, and evaluate a diverse set of available online artificial intelligence (AI), machine learning (ML), cognitive computing (CC), and Generative AI (GenAI) services to design the task below, which is Cognitive Profile of your own (preferable choice) or of someone else (publicly known person or celebrity).

 

The task: 

The task for the assignment would be creation and visualization of your own Cognitive Profile using available online demos of the cognitive computing services. You are supposed to find yourself or/and use some from the list of available online services (see below few examples), try some of their demos and design your personal profile in a similar (preferably better) way as the partial profiles of Vagan, Pekka, Donald and others were presented in https://ai.it.jyu.fi/vagan/DL4CC_Part-1.pptx. (Notice that in this huge file, the slides, which contain examples related to your assignment, are marked with the white clickable letter A within violet circle). For designing your profile, you are supposed to take samples of your writings (academic texts, blogs, etc.), speeches, photos, and videos as inputs for these services and then embed the outcomes to your Cognitive Profile represented as the PowerPoint presentation. At the end of the presentation, provide a few conclusive slides aiming to answer the questions:

·         How powerful are the services (AI/ML/CC/GenAI) used? What are their strengths and weaknesses? Which of them do I like most and why?

·         What could be potential use-cases and future applications, which may benefit from such cognitive profiles as have been designed?

·         What could be potential dangers associated with exposing such profiles publicly and why?

NOTE:

While designing and presenting the Cognitive Profile you are encouraged to use as much as possible, as diverse as possible, and as many as possible the available online AI/ML/CC/GenAI tools and services.

While addressing the conclusive questions above you are supposed to provide your own thoughts, and the use of the AI/ML/CC/GenAI tools and services is not allowed.

Please name the resulting PowerPoint (.pptx) file as Firstname_Familyname.pptx to your personal Web space (e.g., the one provided by the university on users.jyu.fi) and send the link to the course instructor (via university email address) before the deadline. The more different details you include to the profile, the more different services you will find and properly use for that, and the more interesting use-cases you invent - the better grade for the course will be given. In this course (Deep Learning for Cognitive Computing: Theory) you are not supposed (but you may if you want and capable) to program anything or use programmable APIs to make your cognitive profile; the use of online demos through GUIs will be enough.

Personal data security note:

Please carefully consider and take into account this note before you start the actual work on the assignment.

Both you and the teachers must ensure that the assignment content and student-to-teacher assignment storage and delivery protocol comply with the university policy and general data protection regulation (carefully read our university policies regarding data security.

Your assignment on Cognitive Profile is supposed to include: (a) before processing, samples of your texts, speeches and images and (b) after processing, discovered cognitive features of yours. Therefore, make sure that no input files contain any private or sensitive information. Also, make sure that you keep the assignment in a safe place. During the delivery: (1) preferable option: email from your university mail account to the teacher’s university account and supply email with the attached assignment (if file larger than 10 M, you can use safe university cloud services for storing and delivery); (2) or upload file to the password-protected subdirectory of your personal university web space (if available) and supply the teacher with the link and a one-time password for download.

After teacher confirms successful file download, you can remove the file from the cloud or the web directory. The teacher will not disclose the file to anyone; will keep it in a safe place about 2 years and delete after your graduation.

 

SOME EXAMPLES OF Cognitive Computing Services Online (could be incomplete and include outdated services)

 

TEXT-TO-TEXT

A.    Summarization

http://textsummarization.net/text-summarizer ;

https://deepai.org/machine-learning-model/summarization ;

https://quillbot.com/summarize ;

https://algorithmia.com/algorithms/nlp/Summarizer ;

https://chat.openai.com/chat ;

 

B.     Generation

https://talktotransformer.com/ ;

https://deepai.org/machine-learning-model/text-generator ;

https://www.poem-generator.org.uk/ ;

https://app.inferkit.com/demo ;

https://chat.openai.com/chat ;

 

C.    Translation

https://translate.google.com ;

https://www.deepl.com/translator ;

https://www.ibm.com/demos/live/watson-language-translator/self-service/home ;

https://chat.openai.com/chat ;

 

D.    Question & Answer

https://www.pragnakalp.com/demos/BERT-NLP-QnA-Demo/ ;

https://deeplearninganalytics.org/demos/ ;

https://dida.do/demos/question-answering ;

https://chat.openai.com/chat ;

 

TEXT-TO-SPEECH

https://www.ibm.com/demos/live/tts-demo/self-service/home ;

https://azure.microsoft.com/en-us/products/cognitive-services/text-to-speech/ ;

https://cloud.google.com/text-to-speech#section-2 ;

https://www.naturalreaders.com/online/ ;

https://ttsfree.com/ ;

https://ttsdemo.com/ ;

https://fakeyou.com/tts ;

https://www.descript.com/ai-voices  ;

 

TEXT-TO-SEMANTICS (understanding, tone, emotions, personality, essential content, etc.)

https://www.ibm.com/demos/live/natural-language-understanding/self-service/home ;

https://aidemos.microsoft.com/text-analytics ;

https://cloud.google.com/document-ai ;

https://www.intelligenceapi.com/demo/ ;

https://deepai.org/machine-learning-model/sentiment-analysis ;

https://deepai.org/machine-learning-model/text-tagging ;

https://text2data.com/Demo ;

https://www.entitysearch.io/#demo ;

https://ibm-pi-demo.mybluemix.net/ ;

https://sentino.org/tools ;

http://www.blablameter.com/index.php ;

 

SPEECH-TO-TEXT

https://www.ibm.com/demos/live/speech-to-text/self-service/home ;

https://sonix.ai/ ;

https://cloud.google.com/speech-to-text ;

https://aurisai.io/ ;

https://cloud.google.com/speech-to-text/?hl=en ;

 

SPEECH-TO-SPEECH

https://www.audio2edit.com ;

 

SPEECH-TO-SEMANTICS

https://aidemos.microsoft.com/luis/demo ;

 

IMAGE-TO-SEMANTICS

https://cloud.google.com/vision/ ;

https://demo.sensifai.com/ ;

https://pimeyes.com/en ;

https://www.facialage.com/ ;

https://age.toolpie.com/ ;

https://www.clarifai.com/models/image-recognition-ai (more: https://www.clarifai.com/computer-vision );

https://face-api.sightcorp.com/demo-basic/ ;

https://imageamigo.com/age/ ;

https://www.facialage.com/ ;

https://tineye.com/ ;

https://vision-explorer.allenai.org/detection ;

https://developer.opencv.fr/ui/#/onboard/demo ;

 

TEXT-TO-IMAGE

https://deepai.org/machine-learning-model/text2img ;

https://labs.openai.com/ ;

https://www.midjourney.com/ ;

https://dezgo.com ;

https://hotpot.ai/art-maker ;

https://hotpot.ai/art-generator ;

https://creator.nightcafe.studio/ ;

https://catalog.ngc.nvidia.com/orgs/nvidia/teams/playground/models/sdxl ;

https://deepai.org/machine-learning-model/text2img ;

 

IMAGE-TO-IMAGE

https://deepai.org/machine-learning-model/image-editor ;

https://mxface.ai/face-comparing#abcd ;

https://www.artguru.ai/swap-face/#

https://demo.changemyface.com/ ;

https://age-and-lifestyle.changemyface.com/ ;

https://ailab.wondershare.com/tools/aging-filter.html ;

https://www.fotor.com/images/create ;

https://deepai.org/machine-learning-model/image-similarity ;

https://betaface.com/demo.html ;

http://facestyle.org/#/ ;

https://reface.ai/unboring/face-swap ;

https://photolab.me ;

https://www.remove.bg/ ;

https://www.photoroom.com/tools/remove-object-from-photo ;

https://blackandwhite.imageonline.co/ ;

https://playback.fm/colorize-photo ;

https://palette.fm/color/filters ;

https://www.img2go.com ;

https://vanceai.com/old-photo-restoration ;

https://snapedit.app/ ;

https://www.nvidia.com/research/inpainting/ ;

https://3dthis.com/3dface.htm ;

https://openai.com/blog/glow/ ;

https://deepai.org/machine-learning-model/colorizer ;

http://demos.algorithmia.com/colorize-photos/ ;

https://deepai.org/machine-learning-model/toonify ;

https://toonify.photos/ ;

https://www.befunky.com/create/photo-to-cartoon/ ;

https://deepai.org/machine-learning-model/torch-srgan ;

https://deepai.org/machine-learning-model/waifu2x ;

https://deepai.org/machine-learning-model/deepdream ;

https://deepdreamgenerator.com/ ;

https://deepai.org/machine-learning-model/fast-style-transfer ;

https://deepai.org/machine-learning-model/neural-style ;

http://cs.stanford.edu/people/karpathy/convnetjs/demo/image_regression.html ;

https://thispersondoesnotexist.com/ ;

https://looka.com/logo-maker/ ;

https://ai.cloudinary.com/demos/fill

 

IMAGE-TO-VIDEO

https://app.tokkingheads.com/homepage ;

https://www.myheritage.com/deep-nostalgia/ ;

https://sketch.metademolab.com/canvas

 

SPEECH-TO-VIDEO

https://seamless.metademolab.com/expressive/

 

IMAGE-TO-TEXT

https://milhidaka.github.io/chainer-image-caption/ ;

https://www.onlineocr.net/ ;

https://jah.outsystemscloud.com/ImageToTextDEMO/ ;

 

TEXT-TO-VIDEO

https://www.synthesia.io/ ;

https://studio.d-id.com/?utm_content=photo2video ;

https://www.heygen.com/ ;

 

VIDEO-TO-TEXT

https://www.veed.io/tools/video-to-text ;

https://www.audiotype.org/en/transcribe/video/ ;

https://vi.microsoft.com/en-us ;

https://www.readtheirlips.com/

 

VIDEO-TO-AUDIO

https://audio-extractor.net/ .

 

VIDEO-TO-VIDEO

https://sam2.metademolab.com/demo

 

AUDIO-TO-AUDIO

https://audiobox.metademolab.com/storymaker/demo

 

ChatGPT and other chatbots and multiservice providers

https://chatgptonline.net/ [tutorial: https://metaroids.com/learn/what-is-chatgpt-beginners-guide-to-using-the-ai-chatbot/]

https://www.chatgpt.com

https://copilot.microsoft.com/

https://gemini.google.com/

https://claude.ai/

https://www.perplexity.ai/

https://www.jasper.ai/

https://zapier.com/

https://www.meta.ai/

https://you.com/

https://bing.com/   (chat)

https://deepai.org/chat 

https://bard.google.com/

https://character.ai/

 

https://portal.vision.cognitive.azure.com/gallery/featured

https://aidemos.com/ai-tools

https://aidemos.meta.com/

https://ai-service-demos.go-aws.com/

https://ai.cloudinary.com/

[useful tutorials: https://www.simplilearn.com/tutorials/chatgpt-tutorial/chatgpt-alternatives ]

 

and many-many other services/demos online and their categories

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IMPORTANT NOTICE!

Taking into account that companies, who are providing these demos (listed above), often update their services or change links to them, you are expected to use Google to find these (with broken links) or similar services/demos online. It will be appreciated, if you will find for your assignments interesting new demos (especially, new categories of revenant demos) online, which are not listed above.

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Read more about AI-as-a-Service providers here:

https://encord.com/blog/ultimate-guide-ai-as-a-service/

https://redresscompliance.com/exploring-cloud-based-machine-learning-platforms/

 

Additional general and useful references:

- Online textbooks containing theories behind the cognitive computing services:

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning, MIT Press, 787 pp.  (http://www.deeplearningbook.org)

Michael Nielsen (2017). Neural Networks and Deep Learning. (http://neuralnetworksanddeeplearning.com/)

Petersen, P., & Zech, J. (2024). Mathematical Theory of Deep Learning. arXiv preprint arXiv:2407.18384. (https://arxiv.org/pdf/2407.18384 )

Sumithra, M. G., Dhanaraj, R. K., Iwendi, C., & Manoharan, A. M. (Eds.). (2022). Deep Learning for Cognitive Computing Systems: Technological Advancements and Applications (Vol. 7). Walter de Gruyter GmbH & Co KG. (https://www.scribd.com/document/859454267/Deep-Learning-For-Cognitive-Computing-Systems-Technological-Advancements-And-Applications-Mg-Sumithra-pdf-download )

https://www.ayadata.ai/top-10-books-on-machine-learning-and-ai/

https://digitaldefynd.com/IQ/top-books-for-learning-artificial-intelligence/