Hear from top leaders discuss topics surrounding AL/ML technology, conversational AI, IVA, NLP, Edge, and more. The world has been wowed by the newest displays of text-to-image technology by DALL-E 2 from OpenAI and Imagen from Google. Beautiful, amazingly creative compilations all generated by artificial intelligence (AI) systems. This is possible because AI has learned natural language understanding by looking at countless texts and images. Today's systems have been trained to output new images when text is entered alongside pictures, uniting two seemingly disparate things in unique ways, much to the delight of viewers.

The machine learning company OpenAI is developing models that improve computer vision and can produce original images from a text prompt. Why it matters: The new models are the latest steps in ongoing efforts to create machine learning systems that exhibit elements of general intelligence, while performing tasks that are actually useful in the real world -- without breaking the bank on computing power. What's happening: OpenAI today is announcing two new systems that attempt to do for images what its landmark GPT-3 model did last year for text generation. What they're saying: "Last year, we were able to make substantial progress on text with GPT-3, but the thing is that the world isn't just built on text," says Sutskever. "This is a step towards the grander goal of building a neural network that can work in both images and text."

Microsoft has built an AI powered bot that can draw images based on the text it is provided. The below image, published by Microsoft, depicts a yellow black bird that was completely generated by the bot. Microsoft is simply calling this new technology the "drawing bot" for now. It can generate images from animals to scenic hillsides, and even outlandish things like flying cars and twisted street lamps. It's basically the AI version of pictionary where you're supposed to draw something based on cue cards.

Scientists at the ATR Computational Neuroscience Labs in Japan have created an AI-based system that's capable of performing deep image reconstruction from human brain activity. Now, what that means is the AI system can't see inside our brain or the things we're picturing. It takes help of the brain waves (MRI data) to guess what we are thinking and draws an image out of it. To train their AI, the researchers fed it with recorded brainwaves of human subjects after showing them images. Over the course of 10 weeks, they collected brain activity data in real-time and also by making the human subjects visualize what they had seen in the past. There is still scope for improvement for the AI which lacks perfection when it comes to reading our minds.