Favorite Posted by Rajat Sen and Yichen Zhou, Google Research Time-series forecasting is ubiquitous in various domains, such as retail, finance, manufacturing, healthcare and natural sciences. In retail use cases, for example, it has been observed that improving demand forecasting accuracy can meaningfully reduce inventory costs and increase revenue. Deep
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Shared by Google AI Technology February 2, 2024
Favorite Google’s Super Bowl ad shows how Pixel’s Guided Frame helps blind or low vision people take great pictures or selfies. View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Rishabh Tiwari, Pre-doctoral Researcher, and Pradeep Shenoy, Research Scientist, Google Research Machine learning models in the real world are often trained on limited data that may contain unintended statistical biases. For example, in the CELEBA celebrity image dataset, a disproportionate number of female celebrities have blond hair,
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Shared by Google AI Technology February 2, 2024
Favorite During 2023, OSI and many others across the Open Source communities spent a great deal of time and energy engaging with the various co-legislators of the European Union (EU) concerning the Cyber Resilience Act (CRA). Together with a revision to Europe’s Product Liability Directive (PLD), the CRA will bring
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Shared by voicesofopensource February 2, 2024
Favorite Embeddings play a key role in natural language processing (NLP) and machine learning (ML). Text embedding refers to the process of transforming text into numerical representations that reside in a high-dimensional vector space. This technique is achieved through the use of ML algorithms that enable the understanding of the
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Shared by AWS Machine Learning February 1, 2024
Favorite Data is the foundation to capturing the maximum value from AI technology and solving business problems quickly. To unlock the potential of generative AI technologies, however, there’s a key prerequisite: your data needs to be appropriately prepared. In this post, we describe how use generative AI to update and
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Shared by AWS Machine Learning February 1, 2024
Favorite Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Understanding and prioritizing resilience is crucial for generative AI workloads to meet organizational availability and business continuity requirements.
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Shared by AWS Machine Learning February 1, 2024
Favorite We’re incorporating generative AI in Maps, to help you discover things to do. Select U.S. Local Guides begin testing the feature this week. View Original Source (blog.google/technology/ai/) Here.
Favorite We’re expanding Gemini Pro in Bard to all supported languages and bringing text-to-image generation into Bard. View Original Source (blog.google/technology/ai/) Here.
Favorite We’re expanding Gemini Pro in Bard to all supported languages and bringing text-to-image generation into Bard. View Original Source (blog.google/technology/ai/) Here.