I explain Artificial Intelligence terms and news to non-experts. While the world is still recovering, research hasn't slowed its frenetic pace, especially in the field of artificial intelligence. Moreover, many important aspects in AI were highlighted this year, like the ethical aspects, important biases, governance, transparency, and much more. Artificial intelligence and our understanding of the human brain and its link to AI are constantly evolving, showing promising applications improving our life's quality in the near future. Still, we ought to be careful with which technology we choose to apply.

I explain Artificial Intelligence terms and news to non-experts. Have you ever dreamed of taking the style of a picture, like this cool TikTok drawing style on the left, and applying it to a new picture of your choice? Well, I did, and it has never been easier to do. In fact, you can even achieve that from only text and can try it right now with this new method and their Google Colab notebook available for everyone (see references). Simply take a picture of the style you want to copy, enter the text you want to generate, and this algorithm will generate a new picture out of it!

The European Patent Office recently turned down an application for a patent that described a food container. This was not because the invention was not novel or useful, but because it was created by artificial intelligence. By law, inventors need to be actual people. This isn't the first invention by AI – machines have produced innovations ranging from scientific papers and books to new materials and music. That said, being creative is clearly one of the most remarkable human traits.

The European Patent Office recently turned down an application for a patent that described a food container. This was not because the invention was not novel or useful, but because it was created by artificial intelligence (AI). By law, inventors need to be actual people. This isn't the first invention by AI – machines have produced innovations ranging from scientific papers and books to new materials and music. That said, being creative is clearly one of the most remarkable human traits.

The European Patent Office recently turned down an application for a patent that described a food container. This was not because the invention was not novel or useful, but because it was created by artificial intelligence (AI). By law, inventors need to be actual people. This isn't the first invention by AI – machines have produced innovations ranging from scientific papers and books to new materials and music. That said, being creative is clearly one of the most remarkable human traits.

That said, being creative is clearly one of the most remarkable human traits. Without it, there would be no poetry, no internet, and no space travel. But could AI ever match or even surpass us? Let's have a look at the research. From a theoretical perspective, creativity and innovation is a process of search and combination.

Train a neural network on flawed data and you'll have one that makes lots of mistakes. Most neural networks learn to distinguish between things by sampling different groups. This is supervised learning, and it only works if someone labels the data first so that the network knows what it's looking at. But how can you find the "right" data to train your AI, and confirm its quality? Well, what you feed your machine might surprise you.

Machine learning (ML) is a method of analyzing data using an analytical model that is built automatically, or "learned," from training data. The idea is that the model gets better as you feed it more data points, enabling your algorithm to automatically get better over time. Machine learning has two distinct steps: training and operationalization. Training takes a dataset you know a lot about (known as a training set), then explores the dataset to find patterns and develop your model. Once you have developed your model you move on to operationalization.