Google Cloud deepens investment to activate partner ecosystem around generative AI

Partners have made it clear that they are eager to create generative AI offerings that drive value for their customers as quickly as possible. Google Cloud is committed to enabling our partners by fueling the most open and innovative AI ecosystem. To do this, we’re building on the many investments we are making to infuse …

Rapid and Scalable Bayesian AB Testing

AB testing aids business operators with their decision making, and is considered the gold standard method for learning from data to improve digital user experiences. However, there is usually a gap between the requirements of practitioners, and the constraints imposed by the statistical hypothesis testing methodologies commonly used for analysis of AB tests. These include …

SIEM and threat intelligence: Stay current on trending threats

With the average cost of a data breach soaring to an all-time high at USD $4.45 million dollars in 2023, organizations face an ever-increasing array of cybersecurity threats. These threats can range from ransomware attacks to phishing campaigns and insider threats, potentially resulting in data breaches. As cybercriminals become more sophisticated and their tactics more …

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RO-ViT: Region-aware pre-training for open-vocabulary object detection with vision transformers

Posted by Dahun Kim and Weicheng Kuo, Research Scientists, Google The ability to detect objects in the visual world is crucial for computer vision and machine intelligence, enabling applications like adaptive autonomous agents and versatile shopping systems. However, modern object detectors are limited by the manual annotations of their training data, resulting in a vocabulary …

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University of San Francisco Data Science Conference 2023 Datathon in partnership with AWS and Amazon SageMaker Studio Lab

As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. Participants, both high school and undergraduate students, competed on a data science project that focused on air quality and sustainability. The Data Institute at the USF aims to …

Managing your cloud ecosystems: Maintaining workload continuity during worker node upgrades

Planning and managing your cloud ecosystem and environments is critical for reducing production downtime and maintaining a functioning workload. In the “Managing your cloud ecosystems” blog series, we cover different strategies for ensuring that your setup functions smoothly with minimal downtime. To start things off, the first topic in this blog series is ensuring workload …

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Responsible AI at Google Research: Perception Fairness

Posted by Susanna Ricco and Utsav Prabhu, co-leads, Perception Fairness Team, Google Research Google’s Responsible AI research is built on a foundation of collaboration — between teams with diverse backgrounds and expertise, between researchers and product developers, and ultimately with the community at large. The Perception Fairness team drives progress by combining deep subject-matter expertise …

Scaling machine learning with BigQuery ML inference engine

As enterprises race to extract value from structured, semi-structured, and unstructured data, they face a continuum of challenges related to data gravity, including data acquisition, data management and data governance. Simultaneously, these companies are also grappling with model gravity as they build and scale machine learning workflows for their predictive analytics needs. Core data warehousing …

2018 Call for Code Winner Project OWL advances its natural disaster communication network

For disaster-prone areas, fragile connectivity remains a major problem, often going offline in critical moments. Aerospace enterprises face a similar challenge when trying to run consistent high-altitude connectivity while operating in remote locations, which can also be very expensive. This is where Project OWL comes into play: developing new technologies to help address these challenges. Formed …

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How to compare a noisy quantum processor to a classical computer

Posted by Sergio Boixo and Vadim Smelyanskiy, Principal Scientists, Google Quantum AI Team A full-scale error-corrected quantum computer will be able to solve some problems that are impossible for classical computers, but building such a device is a huge endeavor. We are proud of the milestones that we have achieved toward a fully error-corrected quantum …