The power of continuous learning
Lilian Weng works on Applied AI Research at OpenAI.
Read MoreEHR-Safe: Generating High-Fidelity and Privacy-Preserving Synthetic Electronic Health Records
Posted by Jinsung Yoon and Sercan O. Arik, Research Scientists, Google Research, Cloud AI Team Analysis of Electronic Health Records (EHR) has a tremendous potential for enhancing patient care, quantitatively measuring performance of clinical practices, and facilitating clinical research. Statistical estimation and machine learning (ML) models trained on EHR data can be used to predict…
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Differential Privacy Accounting by Connecting the Dots
Posted by Pritish Kamath and Pasin Manurangsi, Research Scientists, Google Research Differential privacy (DP) is an approach that enables data analytics and machine learning (ML) with a mathematical guarantee on the privacy of user data. DP quantifies the “privacy cost” of an algorithm, i.e., the level of guarantee that the algorithm’s output distribution for a…
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How AI-generated text is poisoning the internet
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. This has been a wild year for AI. If you’ve spent much time online, you’ve probably bumped into images generated by AI systems like DALL-E 2 or Stable Diffusion, or jokes, essays,…
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How to spot AI-generated text
This sentence was written by an AI—or was it? OpenAI’s new chatbot, ChatGPT, presents us with a problem: How will we know whether what we read online is written by a human or a machine? Since it was released in late November, ChatGPT has been used by over a million people. It has the AI…
Read MoreAccelerating Text Generation with Confident Adaptive Language Modeling (CALM)
Posted by Tal Schuster, Research Scientist, Google Research Language models (LMs) are the driving force behind many recent breakthroughs in natural language processing. Models like T5, LaMDA, GPT-3, and PaLM have demonstrated impressive performance on various language tasks. While multiple factors can contribute to improving the performance of LMs, some recent studies suggest that scaling…
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Sam Altman: This is what I learned from DALL-E 2
Sam Altman, OpenAI’s CEO, has been at the heart of the San Francisco–based firm since cofounding it with Elon Musk and others in 2015. His vision for the future of AI and how to get there has shaped not only what OpenAI does, but also the direction in which AI research is heading in general….
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Artists can now opt out of the next version of Stable Diffusion
Artists will have the chance to opt out of the next version of one of the world’s most popular text-to-image AI generators, Stable Diffusion, the company behind it has announced. Stability.AI will work with Spawning, an organization founded by artist couple Mat Dryhurst and Holly Herndon, who have built a website called HaveIBeenTrained that allows…
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Generative AI is changing everything. But what’s left when the hype is gone?
It was clear that OpenAI was on to something. In late 2021, a small team of researchers was playing around with an idea at the company’s San Francisco office. They’d built a new version of OpenAI’s text-to-image model, DALL-E, an AI that converts short written descriptions into pictures: a fox painted by Van Gogh, perhaps,…
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