Google, Microsoft, OpenAI make AI pledges ahead of Munich Security Conference
Google today launched an ‘AI Cyber Defense Initiative and made several AI-related commitments, following a charge by Microsoft and OpenAI.Read More
Using AI to develop enhanced cybersecurity measures
A research team at Los Alamos National Laboratory is using artificial intelligence to address several critical shortcomings in large-scale malware analysis, making significant advancements in the classification of Microsoft Windows malware and paving the way for enhanced cybersecurity measures. Using their approach, the team has set a new world record in classifying malware families.
Comparing hands in SDXL vs Stable Cascade
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Learning the importance of training data under concept drift
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 …
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Veterans Affairs & Palantir
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 …
Disrupting malicious uses of AI by state-affiliated threat actors
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
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
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 …
Read more “Learning the importance of training data under concept drift”
Enhance Amazon Connect and Lex with generative AI capabilities
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 …
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Introducing vector search in BigQuery
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 …