With a vast amount of technology training and education available today, it’s difficult to know what deserves your attention and what’s just a marketing ploy. Furthermore, most training and education in technology is only offered through text or video, meaning that the learner doesn’t have an opportunity to apply the theory that they are learning. …
Read more “Empower your technical staff with hands-on technology training”
Posted by Long Zhao, Senior Research Scientist, and Ting Liu, Senior Staff Software Engineer, Google Research An astounding number of videos are available on the Web, covering a variety of content from everyday moments people share to historical moments to scientific observations, each of which contains a unique record of the world. The right tools …
Read more “VideoPrism: A foundational visual encoder for video understanding”
Generative AI has become the number one technology of interest across many industries over the past year. Here at Google Cloud for Games, we think that online game use cases have some of the highest potential for generative AI, giving creators the power to build more dynamic games, monetize their games better, and get to …
Read more “Running machine learning in the cloud for live service games”
Posted by Zheng Xu, Research Scientist, and Yanxiang Zhang, Software Engineer, Google Language models (LMs) trained to predict the next word given input text are the key technology for many applications [1, 2]. In Gboard, LMs are used to improve users’ typing experience by supporting features like next word prediction (NWP), Smart Compose, smart completion …
Read more “Advances in private training for production on-device language models”
Gemma is built for responsible AI development from the same research and technology used to create Gemini models.
Posted by Zheng Xu, Research Scientist, and Yanxiang Zhang, Software Engineer, Google Language models (LMs) trained to predict the next word given input text are the key technology for many applications [1, 2]. In Gboard, LMs are used to improve users’ typing experience by supporting features like next word prediction (NWP), Smart Compose, smart completion …
Read more “Advances in private training for production on-device language models”
Introduction Everyone is excited about generative AI (gen AI) nowadays and rightfully so. You might be generating text with PaLM 2 or Gemini Pro, generating images with ImageGen 2, translating code from language to another with Codey, or describing images and videos with Gemini Pro Vision. No matter how you’re using gen AI, at the …
Read more “Orchestrate Vertex AI’s PaLM and Gemini APIs with Workflows”
Large language models (LLMs) have the potential to impact a wide range of creative domains, as exemplified in popular text-to-image generators like DALL·E and Midjourney. However, the application of LLMs to motion-based visual design has not yet been explored and presents novels challenges such as how users might effectively describe motion in natural language. Further, …
Read more “Keyframer: Empowering Animation Design using Large Language Models”
Introduction As part of the process laid out in the Biden-Harris Administration’s Executive Order on Safe, Secure, and Trustworthy AI, the National Institute of Standards and Technology (NIST) released a request for information to assist the agency in carrying out its obligations under the Executive Order. Palantir is proud to continue our ongoing contributions to …
Read more “Palantir’s Response to NIST RFI on Artificial Intelligence”
In an era of accelerating climate change, predicting the near-future can yield major benefits. For instance, when utility officials are aware that a heat wave is on its way, they can plan energy procurement to prevent power outages. When farmers in drought-prone regions are able to predict which crops are susceptible to failure, they can …
Read more “Climate change predictions: Anticipating and adapting to a warming world”