As Benjamin Franklin once said, “If you fail to plan, you are planning to fail.” This same sentiment can be true when it comes to a successful risk mitigation plan. The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the …
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Posted by Yangsibo Huang, Research Intern, Google Research; Chiyuan Zhang, Research Scientist, Google Research Large embedding models have emerged as a fundamental tool for various applications in recommendation systems [1, 2] and natural language processing [3, 4, 5]. Such models enable the integration of non-numerical data into deep learning models by mapping categorical or string-valued …
Read more “Sparsity-preserving differentially private training”
To operate a thriving business, it is important to have a deep understanding of your customers’ needs and extract valuable insights from their feedback. However, the journey of extracting actionable information from customer feedback is a formidable task. Examining and categorizing feedback can help you discover your customers’ core pain points with your products, but …
Read more “Turn customer feedback into opportunities using generative AI in BigQuery DataFrames”
The European Union agreed on terms of the AI Act, a major new set of rules that will govern the building and use of AI and have major implications for Google, OpenAI, and others racing to develop AI systems.
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Before the deep learning revolution redefined computer vision, Haar features and Haar cascades were the tools you must not ignore for object detection. Even today, they are very useful object detectors because they are lightweight. In this post, you will learn about the Haar cascade and how it can detect objects. After completing this post, …
Posted by Mar Gonzalez-Franco, Research Scientist, Google AR & VR As virtual reality (VR) and augmented reality (AR) technologies continue to grow in popularity, virtual avatars are becoming an increasingly important part of our digital interactions. In particular, virtual avatars are at the center of many social VR and AR interactions, as they are key …
Read more “VALID: A perceptually validated virtual avatar library for inclusion and diversity”
Parallelization techniques have become ubiquitous for accelerating inference and training of deep neural networks. Despite this, several operations are still performed in a sequential manner. For instance, the forward and backward passes are executed layer-by-layer, and the output of diffusion models is produced by applying a sequence of denoising steps. This sequential approach results in …
Read more “DeepPCR: Parallelizing Sequential Operations in Neural Networks”
Today’s customers and employees expect a real-time, personalized and connected user experience on any platform. As enterprise applications grow and evolve to address these needs, integration between applications has become increasingly important. Building point-to-point integrations manually is time consuming, inefficient and costly; andorganizations need a better way to consume and share data, as well as …
Read more “API-led connectivity: Improve API reuse and organizational agility”
Posted by Mar Gonzalez-Franco, Research Scientist, Google AR & VR As virtual reality (VR) and augmented reality (AR) technologies continue to grow in popularity, virtual avatars are becoming an increasingly important part of our digital interactions. In particular, virtual avatars are at the center of many social VR and AR interactions, as they are key …
Read more “VALID: A perceptually validated virtual avatar library for inclusion and diversity”