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A Deep Technical Dive into Next-Generation Interoperability Protocols: Model Context Protocol...

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The Year of the AI Election Didn’t Go Quite as Everyone...

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Infosec experts divided on AI’s potential to assist red teams

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Enabling human centric support with generative artificial intelligence

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AI ethics and blockchain: Balancing data usage & privacy.

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The Download: AI and reporting in an age of Trump

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Mike Verdu, Netflix Games, leads new generative AI initiative.

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GenAI is a data-overloaded system, so companies need to focus on...

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What Africa needs do to become a major AI Player

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Ring-Based Mid Air Gesture Typing Using Deep Learning WordPrediction

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Nobel Prize in Physics 2024: The pioneers of deep learning and...

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Education

ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach...

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Understanding the Dual Nature of OpenAI

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Lightricks Unveils Lightning-Fast AI Video

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Education

Fine-tuning vs. in-context learning: New research guides better LLM customization for...

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ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach...

Large language models are now central to various applications, from coding to academic tutoring and automated assistants. However, a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time. This creates a fundamental challenge because the language models cannot...