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You can protect yourself from hackers and scammers by doing these...

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PwC Releases Executive Guide on Agentic AI: A Strategic Blueprint for...

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This AI Paper Investigates Test-Time Scaling of English-Centric RLMs for Enhanced...

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Agent-Based Debugging Gets a Cost-Effective Alternative: Salesforce AI Presents SWERank for...

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A Step-by-Step Guide to Build a Fast Semantic Search and RAG...

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Meta AI Introduces CATransformers: A Carbon-Aware Machine Learning Framework to Co-Optimize...

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Rime Introduces Arcana and Rimecaster (Open Source): Practical Voice AI Tools...

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Google DeepMind Introduces AlphaEvolve: A Gemini-Powered Coding AI Agent for Algorithm...

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PwC Releases Executive Guide on Agentic AI: A Strategic Blueprint for...

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FDA AI deployment: Innovation vs oversight in drug regulation

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Saudi Arabia moves to build its AI future with HUMAIN and...

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OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs

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The launch of ChatGPT polluted the world forever, like the first...

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The Silent Revolution: How AI-Powered ERPs Are Killing Traditional Consulting

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Tether Unveils Decentralized AI Initiative

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OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs

The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed CoT reasoning to solve complex tasks. However, many simple tasks they handle could be solved by smaller models with fewer tokens, making such elaborate reasoning unnecessary. This echoes human thinking, where we use fast,...