Kimola Newsletter | Cognitive 2# 📣 PDF Reports Ready on Cognitive!

Sep 28, 2022 - 4 min read
Kimola Newsletter | Cognitive 2# 📣 PDF Reports Ready on Cognitive!

We are gathering news on artificial intelligencemachine learning and Kimola Cognitive's product updates on this newsletter.

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Updates From Kimola Cognitive!

PDF Reports


PDF Reports are ready

We know that reporting the data you analyze is not easy. That's why our product development team is constantly working to improve the Cognitive Reports for your convenience. Let's see what we've added this time:

🤗 Downloadable PDF reports:

You can now download the outputs of your analyzed data as a PDF by clicking the "Download Report" button in the upper right corner of the Kimola Cognitive Report page.

Pin the selected content to the report:

Would you like to add content to the report that supports your analysis findings from consumer data? You can now favorite some content, filter by favorites on the Kimola Cognitive Report page and pin this favorite content to your PDF reports.

Take a note on PDF reports:

It is now possible to add notes on your reports about the results of your consumer data that you have analyzed in Kimola Cognitive.
This Week in Kimola Newsletter


OpenAI announced that DALL-E 2 users would be able to edit human faces using its AI-powered rendering system. The feature was previously banned for fear of abuse, but in an email to DALL-E's millions of users, OpenAI said they've improved their filters to remove images containing "sexual, political and violent content." This arrangement will allow users to edit images in a number of different ways. For example, users can upload someone's photo and create variations of the image or edit certain features, such as changing someone's outfit or hairstyle. This will undoubtedly be beneficial for many users in the creative industries, from photographers to filmmakers.

Stock Platforms and AI Artworks

Recently, visuals produced by artificial intelligence such as DALL-E, Midjourney and Stable Diffusion have managed to attract people's attention. Basically, you write what you want for the image of the artificial intelligence, and the artificial intelligence prepares the image you want for you in the style you want. However, it is alleged that this may cause some legal problems. For this reason, Getty Images, a stock photo provider, announced that it bans images created with artificial intelligence. Thus, Getty Images became one of the platforms that took this decision after Newgrounds, PurplePort and FurAffinity. The reason for this decision the company is that it does not want users to deal with legal processes that may arise from copyright in the future.

AI Detects Smells

Computer scientists at Google have developed an artificial intelligence (AI) tool that can identify how something will smell by examining its chemical makeup. Researchers think that with this developed tool, artificial intelligence can be used to produce new smells and flavours in the future. Of course, mapping the wide range of smells perceived by the human nose is a very difficult task. The Google team trained artificial neural networks using datasets on the taste and smell of more than 5,000 molecules. The resulting map was called the "Main scent map". To determine the accuracy of the predictions made by artificial intelligence, 15 participants were asked to describe the smell of 320 molecules, and these definitions were compared with the predictions of artificial intelligence. As a result of the comparisons, the researchers said that artificial intelligence exhibits an extraordinary ability to predict the smell of a molecule based on its structure and is as reliable as a human.

AI Predicting Future Events?

The TV show “Person of Interest”, which aired on the US channel CBS years ago, became a reality. Researchers at the University of Chicago have developed a new artificial intelligence algorithm that predicts crime in 1000-square-foot areas by learning patterns of time and geographic location from public data on violent and property crimes. Analyzing crime data, artificial intelligence was able to predict the type and location of possible crimes with up to 90% accuracy next week. The technology was demonstrated in eight major US cities, including Chicago, Los Angeles, and Philadelphia.
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