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Sony reportedly cancelling Xperia 1 VII Pre-orders without Notice

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Education

RXTX: A Machine Learning-Guided Algorithm for Efficient Structured Matrix Multiplication

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Google DeepMind Releases Gemma 3n: A Compact, High-Efficiency Multimodal AI Model...

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This AI Paper Introduces MathCoder-VL and FigCodifier: Advancing Multimodal Mathematical Reasoning...

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Natural Language Processing

Technology Innovation Institute TII Releases Falcon-H1: Hybrid Transformer-SSM Language Models for...

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Anthropic Releases Claude Opus 4 and Claude Sonnet 4: A Technical...

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Natural Language Processing

Beyond Aha Moments: Structuring Reasoning in Large Language Models

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This AI Paper Introduces MathCoder-VL and FigCodifier: Advancing Multimodal Mathematical Reasoning...

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Finance and Banking

Why the Middle East is a hot place for global tech...

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Details leak of Jony Ive’s ambitious OpenAI device

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Anthropic Claude 4: A new era for intelligent agents and AI...

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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...