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Sony reportedly cancelling Xperia 1 VII Pre-orders without Notice

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Meta Researchers Introduced J1: A Reinforcement Learning Framework That Trains Language...

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This AI Paper Introduces PARSCALE (Parallel Scaling): A Parallel Computation Method...

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Marktechpost Releases 2025 Agentic AI and AI Agents Report: A Technical...

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A Step-by-Step Implementation Tutorial for Building Modular AI Workflows Using Anthropic’s...

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Anthropic

Google previews Android 16’s desktop mode

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Anthropic

Samsung Galaxy S26 will have a surprise for the camera department

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Anthropic

Google reveals the release date of Samsung’s Project Moohan Android XR...

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Anthropic

Canalys: Global TWS market grows 18% as Apple remains undisputed leader

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Linux Foundation: Slash costs, boost growth with open-source AI

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By putting AI into everything, Google wants to make it invisible 

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Teaching AI to Say ‘I Don’t Know’: A New Dataset Mitigates...

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Alibaba Qwen Team Releases Qwen3-Embedding and Qwen3-Reranker Series – Redefining Multilingual...

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Darwin Gödel Machine: A Self-Improving AI Agent That Evolves Code Using...

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A Comprehensive Coding Tutorial for Advanced SerpAPI Integration with Google Gemini-1.5-Flash...

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Teaching AI to Say ‘I Don’t Know’: A New Dataset Mitigates...

Reinforcement finetuning uses reward signals to guide the toward desirable behavior. This method sharpens the model’s ability to produce logical and structured outputs by reinforcing correct responses. Yet, the challenge persists in ensuring that these models also know when not to respond—particularly when faced with incomplete or misleading...