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NVIDIA advances AI frontiers with CES 2025 announcements

AI News

Pras Velagapudi, CTO at Agility, comments: Data scarcity and variability are key challenges to successful learning in robot environments. Top robotics and automotive leaders including XPENG, Hyundai Motor Group, and Uber are among the first to adopt Cosmos, which is available on GitHub via an open licence.

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The “Zero-Shot” Mirage: How Data Scarcity Limits Multimodal AI

Marktechpost

Don’t Forget to join our 40k+ ML SubReddit The post The “Zero-Shot” Mirage: How Data Scarcity Limits Multimodal AI appeared first on MarkTechPost. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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Microsoft Solves the Problem of LLM Data Scarcity

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Small models have shown promise over the last few months, and we are now finally getting to see what they are truly capable of thanks to Microsoft,

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Brown University Researchers Propose LexC-Gen: A New Artificial Intelligence Method that Generates Low-Resource-Language Classification Task Data at Scale

Marktechpost

Data scarcity in low-resource languages can be mitigated using word-to-word translations from high-resource languages. However, bilingual lexicons typically need more overlap with task data, leading to inadequate translation coverage. Check out the Paper. All credit for this research goes to the researchers of this project.

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Harvesting Intelligence: How Generative AI is Transforming Agriculture

Unite.AI

Understanding Generative AI Generative AI is a type of artificial intelligence designed to produce new content—whether it's text, images, or predictive models—based on patterns and examples it has learned from existing data.

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

Unite.AI

The rapid growth of artificial intelligence (AI) has created an immense demand for data. However, as the availability of real-world data reaches its limits , synthetic data is emerging as a critical resource for AI development.

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NeoBERT: Modernizing Encoder Models for Enhanced Language Understanding

Marktechpost

Data Scarcity: Pre-training on small datasets (e.g., While newer models like GTE and CDE improved fine-tuning strategies for tasks like retrieval, they rely on outdated backbone architectures inherited from BERT. Wikipedia + BookCorpus) restricts knowledge diversity.

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