Artificial Intelligence

Category Added in a WPeMatico Campaign

Exploring a space-based, scalable AI infrastructure system design

Project Suncatcher is a moonshot exploring a new frontier: equipping solar-powered satellite constellations with TPUs and free-space optical links to one day scale machine learning compute in space. Artificial intelligence (AI) is a foundational technology that could reshape our world, driving new scientific discoveries and helping us tackle humanity’s greatest challenges. Now, we’re asking where […]

Exploring a space-based, scalable AI infrastructure system design Read More »

Introducing interactive on-device segmentation in Snapseed

  A novel mobile technology that facilitates real-time image segmentation, thereby improving the user experience for photo editing within Snapseed. The key to elevating a good photo often lies in selective image adjustments: brightening a subject in the foreground, enhancing the sky, or making the color of a jacket pop. Yet, isolating specific elements with

Introducing interactive on-device segmentation in Snapseed Read More »

Forecasting the future of forests with AI: From counting losses to predicting risk

We introduce the first deep learning–powered benchmark for proactive deforestation risk forecasting. Nature underpins our climate, our economies, and our very lives. And within nature, forests stand as one of the most powerful pillars — storing carbon, regulating rainfall, mitigating floods, and harboring the majority of the planet’s terrestrial biodiversity. Yet, despite their critical importance, the world

Forecasting the future of forests with AI: From counting losses to predicting risk Read More »

A collaborative approach to image generation : PASTA

Google Research introduce PASTA, a reinforcement learning agent that refines text-to-image output over multiple turns of interaction with a user by learning their unique preferences. This process is made possible by a novel user simulation technique. You have a perfect image in your mind. You enter a prompt, hit generate, and the result is close

A collaborative approach to image generation : PASTA Read More »

DS-STAR: A state-of-the-art versatile data science agent

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 »

​​Speech-to-Retrieval (S2R): A new approach to voice search

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 »

Introducing Nested Learning: A new ML paradigm for continual learning

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: Accelerating AI + XR innovation

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

XR Blocks: Accelerating AI + XR innovation Read More »

Differentially private machine learning at scale with JAX-Privacy

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 »

Coral NPU: A full-stack platform for Edge AI

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

Coral NPU: A full-stack platform for Edge AI Read More »