Deep Learning for Cognitive Computing / Theory (task for the course assignment)

TASK FOR THE COURSE ASSIGNMENT

Course: Deep Learning for Cognitive Computing: Theory

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 may use the list of available online services (see below), try some of their demos and design your personal profile in a similar 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 may take the samples of your writings (academic texts, blogs, etc.), speeches, photos, or 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 few conclusive slides aiming to answer the question: What might be potential use-cases and future applications, which may benefit from such cognitive profiles like yours? 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 use for that and the more interesting use-cases you invent - the better grade for the course will be given. In this particular 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.

EXAMPLES OF Cognitive Computing Services Online:

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/ ;

IMAGE-TO-VIDEO

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

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

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 ;

VIDEO-TO-AUDIO

https://audio-extractor.net/ .

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://you.com/

https://bing.com/ (chat)

https://deepai.org/chat

https://bard.google.com/

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://monkeylearn.com/blog/aiaas/ .

Additional 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 /)