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Google Cloud expands access to Gemini models for Vertex AI customers

by AI Generated Robotic ContentFAANG February 16, 2024Comments are Disabled

In December, Google announced Gemini, our most capable and general model yet. Since December, select customers like Samsung and Palo Alto Networks have been building sophisticated AI agents with Gemini models in Vertex AI, unlocking new levels of productivity, personalized learning, and more for their users. Today, we’re bringing more Gemini models to our customers …

Learning the importance of training data under concept drift

by AI Generated Robotic ContentFAANG February 15, 2024Comments are Disabled

Posted by Nishant Jain, Pre-doctoral Researcher, and Pradeep Shenoy, Research Scientist, Google Research The constantly changing nature of the world around us poses a significant challenge for the development of AI models. Often, models are trained on longitudinal data with the hope that the training data used will accurately represent inputs the model may receive …

Veterans Affairs & Palantir

by AI Generated Robotic ContentFAANG February 15, 2024Comments are Disabled

How data-driven acquisition identified over $90M in savings for VA in 6 months Editor’s Note: This post was written jointly with the U.S. Department of Veterans Affairs. Intro The U.S. Department of Veterans Affairs (VA) is one of the largest integrated health care systems in the United States, providing care at 1,298 health care facilities to over …

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Disrupting malicious uses of AI by state-affiliated threat actors

by AI Generated Robotic ContentFAANG February 15, 2024Comments are Disabled

We terminated accounts associated with state-affiliated threat actors. Our findings show our models offer only limited, incremental capabilities for malicious cybersecurity tasks.

The most valuable AI use cases for business

by AI Generated Robotic ContentFAANG February 15, 2024Comments are Disabled

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. But right now, pure AI can …

Learning the importance of training data under concept drift

by AI Generated Robotic ContentFAANG February 15, 2024Comments are Disabled

Enhance Amazon Connect and Lex with generative AI capabilities

by AI Generated Robotic ContentFAANG February 15, 2024Comments are Disabled

Effective self-service options are becoming increasingly critical for contact centers, but implementing them well presents unique challenges. Amazon Lex provides your Amazon Connect contact center with chatbot functionalities such as automatic speech recognition (ASR) and natural language understanding (NLU) capabilities through voice and text channels. The bot takes natural language speech or text input, recognizes …

Introducing vector search in BigQuery

by AI Generated Robotic ContentFAANG February 15, 2024Comments are Disabled

The advent of advanced AI and machine learning (ML) technologies has revolutionized the way organizations leverage their data, offering new opportunities to unlock its potential. Today, we’re announcing the public preview of vector search in BigQuery, which enables vector similarity search on BigQuery data. This functionality, also commonly referred to as approximate nearest-neighbor search, is …

How the Ohio Supercomputer Center Drives the Future of Computing

by AI Generated Robotic ContentFAANG February 15, 2024Comments are Disabled

NASCAR races are all about speed, but even the fastest cars need to factor in safety, especially as rules and tracks change. The Ohio Supercomputer Center is ready to help. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Alan Chalker, the director of strategic programs at the OSC, about all things …

DP-Auditorium: A flexible library for auditing differential privacy

by AI Generated Robotic ContentFAANG February 14, 2024Comments are Disabled

Posted by Mónica Ribero Díaz, Research Scientist, Google Research Differential privacy (DP) is a property of randomized mechanisms that limit the influence of any individual user’s information while processing and analyzing data. DP offers a robust solution to address growing concerns about data protection, enabling technologies across industries and government applications (e.g., the US census) …