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NVIDIA advances AI frontiers with CES 2025 announcements

AI News

NVIDIA CEO and founder Jensen Huang took the stage for a keynote at CES 2025 to outline the companys vision for the future of AI in gaming, autonomous vehicles (AVs), robotics, and more. “AI has been advancing at an incredible pace,” Huang said. “It started with perception AI understanding images, words, and sounds.

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Harvesting Intelligence: How Generative AI is Transforming Agriculture

Unite.AI

With the advent of generative AI, agriculture is becoming smarter, more efficient, and increasingly data driven. From predicting crop yields with unprecedented accuracy to developing disease-resistant plant varieties, generative AI enables farmers to make precise decisions that optimize yields and resource use.

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Innovations in Analytics: Elevating Data Quality with GenAI

Towards AI

In this article, we’ll explore how AI can directly improve these foundations through: Automating data harmonization Dynamic labeling and classification Generating synthetic data Rather than dealing with flawed data, we’re using GenAI to enhance data quality from the start.

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Best practices to build generative AI applications on AWS

AWS Machine Learning Blog

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

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Synthetic Data: A Double-Edged Sword for the Future of AI

Unite.AI

First, the growing demands of AI systems far outpace the speed at which humans can produce new data. As real-world data becomes increasingly scarce, synthetic data offers a scalable solution to meet these demands.

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The new data frontier: Next-generation AI technologies and synthetic data

SAS Software

Data scarcity, privacy and bias are just a few reasons why synthetic data is becoming increasingly important. In this Q&A, Brett Wujek, Senior Manager of Product Strategy at SAS, explains why synthetic data will redefine data management and speed up the production of AI and machine learning models while cutting [.]

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A New AI Research from China Proposes SHIP: A Plug-and-Play Generative AI Approach to Improve Existing Fine-Tuning Methods

Marktechpost

Overall, the paper presents a significant contribution to the field by addressing the challenge of data scarcity for certain classes and enhancing the performance of CLIP fine-tuning methods using synthesized data. Check out the Paper. All Credit For This Research Goes To the Researchers on This Project.