Neural Style Transfer is the technique of blending style from one image into another image keeping its content intact. The only change is the style configurations of the image to give an artistic touch to your image. The content image describes the layout or the sketch and Style being the painting or the colors. It is an application of Computer Vision related to image processing techniques and Deep Convolutional Neural Networks. This technique helps to recreate the content image in the style of the reference image.

Reports say that Microsoft could integrate AI within Bing as early as this year, and Google is also working on AI endeavors. But it you want to see what the future of AI-powered search engines are, right now, you need to try out You.com. What you need to know about You.com is that it isn't just a search engine. Yes, You.com will search the web, and even deeper within the content of websites like StackOverflow for specialized searches like code snippets. But You.com integrates a ChatGPT-like AI engine called YouChat right into the site, along with a complementary writing tool and even an AI art generator.

Less than a month ago, StabilityAI has released an open-source Deep Learning model that can let anyone generate art and images. This is big news since even you can have access to it! I will show you what kind of images it generates and then give you the link to where you can also generate art on your own.

We were discussing whether computers would ever generate art that matched what humans could create. She took the position that machines cannot "create" anything. I took the opposite position, contending that there is nothing humans can do that machines cannot. This post dives into AI's latest attempts to create art, then examines who owns the output. It is a humbling reality, but artificial intelligence has already matched (and surpassed) us humans in a variety of tasks.

Sophia is a robot of many talents -- she speaks, jokes, sings and even makes art. In March, she caused a stir in the art world when a digital work she created as part of a collaboration was sold at an auction for $688,888 in the form of a non-fungible token, or NFT. The sale highlighted a growing frenzy in the NFT market, where people can buy ownership rights to digital content. NFTs each have a unique digital code saved on blockchain ledgers that allow anyone to verify the authenticity and ownership of items. David Hanson, CEO of Hong Kong-based Hanson Robotics and Sophia's creator, has been developing robots for the past two and a half decades.

Wouldn't it be nice if Vincent Van Gogh had painted your portrait? Or imagine Claude Monet interpreting your hometown instead of the French countryside. Alas these great artists are no more around to paint more masterpieces but they have left their great creations behind for us to learn from. These artists' paintings were unique in many ways but both the artists had a definitive characteristic style of painting. Their use of color, strokes, type of colors all brought about a character in their paintings which made those paintings so priced and unique.

Creativity is one of the great challenges for machine intelligence. There is no shortage of evidence showing how machines can match and even outperform humans in vast areas of endeavor, such as face and object recognition, doodling, image synthesis, language translation, a vast variety of games such as chess and Go, and so on. But when it comes to creativity, the machines lag well behind. For example, machines have learned to recognize artistic style, separate it from the content of an image, and then apply it to other images. That makes it possible to convert any photograph into the style of Van Gogh's Starry Night, for instance.

That's what keeps me going.