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DS-STAR is a state-of-the-art data science agent whose versatility is shown by its ability to automate a range of tasks — from statistical analysis to visualization and data wrangling — across various data types, culminating in a top-ranking performance on the famous DABStep benchmark. Data science is a field dedicated to transforming raw data into
DS-STAR: A state-of-the-art versatile data science agent Read More »
Voice Search is now powered by our new Speech-to-Retrieval engine, which gets answers straight from your spoken query without having to convert it to text first, resulting in a faster, more reliable search for everyone. Voice-based web search has been around a long time and continues to be used by many people, with the underlying
Speech-to-Retrieval (S2R): A new approach to voice search Read More »
We introduce Nested Learning, a new approach to machine learning that views models as a set of smaller, nested optimization problems, each with its own internal workflow, in order to mitigate or even completely avoid the issue of “catastrophic forgetting”, where learning new tasks sacrifices proficiency on old tasks. The last decade has seen incredible
Introducing Nested Learning: A new ML paradigm for continual learning Read More »
XR Blocks is an open-source framework to help you develop immersive experiences for the web, featuring XR realism, XR interaction, and AI + XR applications with live demos in xrblocks.github.io. The combination of artificial intelligence (AI) and extended reality (XR) has the potential to unlock a new paradigm of immersive intelligent computing. However, a significant gap
We announce the release of JAX-Privacy 1.0, a library for differentially private machine learning on the high-performance computing library, JAX. From personalized recommendations to scientific advances, AI models are helping to improve lives and transform industries. But the impact and accuracy of these AI models is often determined by the quality of data they use.
Differentially private machine learning at scale with JAX-Privacy Read More »
Introducing Coral NPU, a full-stack, open-source platform designed to address the core performance, fragmentation, and privacy challenges that limit powerful, always-on AI with low-power edge devices and wearables. Generative AI has fundamentally reshaped our expectations of technology. We’ve seen the power of large-scale cloud-based models to create, reason and assist in incredible ways. However, the
New theoretical work from Google Quantum AI shows that large scale quantum computers could solve certain optimization problems that are intractable for conventional classical computers. From designing more efficient airline routes to organizing clinical trials, optimization problems are everywhere. Yet for many real-world challenges, even our most powerful supercomputers struggle to find the best solution.
