MiA-Signature Approximating Global Activation for Long-Context Understanding paper:
https://huggingface.co/papers/2605.06416
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RESEARCH
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Global Activation Approximation for Long-Context Understanding
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AI summaries reduce physician burnout in hospitals
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Agentic AI summaries of hospitalizations were safe and reduced data clerk burden, burnout, and improved sense of well-being for physicians in a prospective study
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Unified Evolution of AI-Augmented Agents via Reinforcement Learning
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Skill1 Unified Evolution of Skill-Augmented Agents via Reinforcement Learning paper:
https://huggingface.co/papers/2605.06130
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CogAlpha: Using LLMs as Adaptive Agents for Financial Market Analysis
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Can AI find hidden patterns in stock markets that traditional methods miss? Researchers from China Mobile and the University of Hong Kong present CogAlpha — a framework that treats large language models as adaptive cognitive agents. Instead of relying on opaque neural nets or
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Doc-V* Agent Introduces OCR-Free Efficient Document Retrieval
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Struggling with AI that can't handle long, multi-page documents? Researchers from HUST and Xiaomi introduce Doc-V*, an OCR-free agent that starts with a thumbnail overview, then actively retrieves and reads only the relevant pages, storing evidence in a working memory. It
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Claude Dreams and Continuously Improves
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— AI Claude no longer sleeps—it dreams. Claude will now operate 24/7. (A prerequisite for AGI? Yes.) Anthropic has just launched 'Dreams': between conversations, your AI agent reviews its past sessions and improves on its own. The next day, it’s better than yesterday.
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Anthropics co-founder predicts autonomous self-improving AI by 2028
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Anthropics co-founder Jack Clark:
— Chubby♨️ (@kimmonismus) 8 mai 2026
"My prediction is that by the end of 2028, it is more likely than not that we will have an AI system where you could say to it:
"Make a better version of yourself."
And it would simply go off and do that completely autonomously."
Its coming. pic.twitter.com/OEM7zwcQzcAnthropics co-founder Jack Clark: "My prediction is that by the end of 2028, it is more likely than not that we will have an AI system where you could say to it: "Make a better version of yourself." And it would simply go off and do that completely autonomously." Its coming.
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RAG is old way; future AI memory is compilation, not retrieval
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RAG is already becoming the “old way” The future of AI memory is not retrieval.
It’s compilation. Here’s the shift in one sentence: From searching information To structuring knowledge The new model? LLM Wiki Instead of: Chunking documents Running similarity -
Secretary MEITY calls for indigenous AI at hackathon
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In his keynote address at the AB PM-JAY Auto-Adjudication Hackathon Showcase 2026, @SecretaryMEITY made the case for building AI that is rooted in India's linguistic and cultural context — and affirmed the IndiaAI Mission's commitment to supporting indigenous foundation model
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GPT 5.5 Impresses in Deep Learning Research
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After another week of intensive work with GPT 5.5, I’m once again confirming my initial conclusions: it’s an impressive model. For deep learning auto-research tasks, the improvement over versions 5.2 and 5.4 is highly noticeable! It’s not just about execution and implementation—