Since DALL-E‘s release to public beta last month, several companies have begun incorporating its use for various cases across the artificial intelligence (AI) landscape. Tome, a storytelling and ideation platform, announced this week that its interactive slide functionality is now supported by DALL-E technology. Users can apply DALL-E to assist them with presentation visuals to precisely convey what they envision. Tome says it’s also working with GPT-3 to add more generative AI functionality to its platform in the near future.

Also on the generative AI spectrum, Microsoft this week unveiled that its Project Bonsai reinforcement learning will be supported by d-Matrix DIMC technology. The aim is to speed up AI inference. For context, generative AI’s use of transformer models is imperative to its functionality, but is also a resource intensive process. Inference systems in AI assist with predicting and building results from a model. Microsoft’s move to accelerate the process will help increase efficiency and deployment of generative AI models.

Nvidia also made strides this week with the announcement of advancements aimed at improving its Omniverse, extending scientific applications on top of high-performance computing systems. The company said this will allow digital twins to bring together the data that currently sits siloed across various apps, models and user experiences. Lead product manager of accelerated computing, Dion Harris, said it’s a step toward evolving digital twins from passively modeling to actively shaping the world.

Meanwhile, Intel‘s news this week focused on shaping the world in a different way: Eliminating deepfakes. The company introduced a new tool dubbed the FakeCatcher, which it claims has a 96% accuracy rate and works by analyzing the “blood flow” from an image or video and returns results in real-time.