Artificial Intelligence

Posted by Antoine Yang, Student Researcher, and Arsha Nagrani, Research Scientist, Google Research, Perception team Videos have become an increasingly important part of our daily lives, spanning fields such as entertainment, education, and communication. Understanding the content of videos, however, is a challenging task as videos often contain multiple events occurring at different time scales….

On Thursday, Robin Li, Baidu’s cofounder and CEO, took the stage in Beijing to showcase the company’s new large language model, Ernie Bot. Accompanied by art created by Baidu’s image-making AI, he showed examples of what the chatbot can do, including solve math questions, write marketing copy, answer questions about Chinese literature, and generate multimedia…

Posted by Jamila Smith-Loud, Human Rights & Social Impact Research Lead, Google Research, Responsible AI and Human-Centered Technology Team Globalized technology has the potential to create large-scale societal impact, and having a grounded research approach rooted in existing international human and civil rights standards is a critical component to assuring responsible and ethical AI development…

OpenAI has finally unveiled GPT-4, the San Francisco-based company’s next-generation large language model. Its last surprise hit, ChatGPT, was always going to be a hard act to follow, but the company has made GPT-4 even bigger and better. Yet how much bigger and why it’s better, OpenAI won’t say. GPT-4 is the most secretive release…

Posted by Ellery Wulczyn and Yun Liu, Google Research When a patient is diagnosed with cancer, one of the most important steps is examination of the tumor under a microscope by pathologists to determine the cancer stage and to characterize the tumor. This information is central to understanding clinical prognosis (i.e., likely patient outcomes) and…

A couple of days ago, I was thinking about what you needed to know to use ChatGPT (or Bing/Sydney, or any similar service). It’s easy to ask it questions, but we all know that these large language models frequently generate false answers. Which raises the question: If I ask ChatGPT something, how much do I need…

Nearly 90% of the multibillion-dollar federal lobbying apparatus in the United States serves corporate interests. In some cases, the objective of that money is obvious. Google pours millions into lobbying on bills related to antitrust regulation. Big energy companies expect action whenever there is a move to end drilling leases for federal lands, in exchange…

Swift and significant gains against climate change require the creation of novel, environmentally benign, and energy-efficient materials. One of the richest veins researchers hope to tap in creating such useful compounds is a vast chemical space where molecular combinations that offer remarkable optical, conductive, magnetic, and heat transfer properties await discovery. But finding these new…

Hashing is a core operation in most online databases, like a library catalogue or an e-commerce website. A hash function generates codes that replace data inputs. Since these codes are shorter than the actual data, and usually a fixed length, this makes it easier to find and retrieve the original information. However, because traditional hash…

Posted by Danny Driess, Student Researcher, and Pete Florence, Research Scientist, Robotics at Google Recent years have seen tremendous advances across machine learning domains, from models that can explain jokes or answer visual questions in a variety of languages to those that can produce images based on text descriptions. Such innovations have been possible due…