#dalle

#dalle

Labs Are Using AI To Invent New Drugs This new development is all thanks to artificial intelligence. Well, to be specific, thanks to the explosion of text-to-image models, also known as diffusion models (such as the OpenAI’s DALL-E 2 diffusion model) are being used to create new types of drugs.For reference, this kind of generative AI is used to create new designs for proteins that have never been seen before. This is done by providing the model with a random mess of pixels, which it will try to turn into an image.Multiple biotech labs have announced their embarkment into using these models. One of them is the Boston-based startup Generate Biomedicines which created a new diffusion model called Chroma. According to the company, their program is the “DALL-E 2 of biology.” So we expect that it sort of operates the same way as the mentioned diffusion model. But why are these establishments focused on protein creation for drugs? Well, it’s because these components are in charge of a lot of bodily functions. They digest food, contract muscles, detect light, drive the immune system, and so much more. Proteins also play a big part in driving ailments out of the body. The promise in finding new protein structures that can help the body is immense, according to Gevorg Grigoryan, CEO of Generate Biomedicines. He also hopes that AI can help them discover more in minutes, which can speed up the production and creation of new medicine.Image credit: Generate Biomedicines#medicine #drugs #biotech #laboratories #research #artificialintelligence #computers #diffusionmodels #DALLE #OpenAI

DALL-E 2: AI Creates Realistic Images From Text DescriptionsEarlier today, OpenAI research laboratory founded by Elon Musk, Sam Altman and others, released the second iteration of an artificial intelligence tool called DALL-E 2. The new AI tool can create and edit images from natural language inputs.Ask DALL-E 2 to draw "teddy bears mixing sparkling chemicals as mad scientists in a steampunk style", and boom: you get the image above.The rapid advancement of artificial intelligence is one of those things that we hear about often but don't grasp at a gut level. After all, human brains don't comprehend Generative Pre-trained Transformer 3's capacity of 175 billion machine learning parameters (yeah, don't worry about it), but we understand the nascent power of AI when we see it generate photorealistic images from text inputs.Just a little over a year ago, OpenAI released DALL-E - the first iteration of the text-to-image AI tool (The name is a combination of Salvador Dali and Pixar's WALL-E). And while it was pretty good, you can definitely tell that the images are computer generated.In a blog post introducing DALL-E 2, Altman shows us what a difference one year can make in AI research. "It’s a reminder that predictions about AI are very difficult to make. A decade ago, the conventional wisdom was that AI would first impact physical labor, and then cognitive labor, and then maybe someday it could do creative work. It now looks like it’s going to go in the opposite order."Take a look at some of the amazing images that DALL-E 2 created below.