Artificial Intelligence

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One Tech Tip: Up your Christmas shopping game with AI tools – livemint.com

One Tech Tip: Up your Christmas shopping game with AI tools  livemint.comGen Z shoppers lead all generations in using AI for purchases  eMarketerChatGPT referrals to retailers’ apps increased 28% year-over-year, says report  TechCrunchTech Mode: AI’s Impact on Holiday Shopping  The Business of FashionUp your shopping game with AI tools: Here are key tips to improve your buying experience  CNBC TV18

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AI memory hunger forces Micron’s consumer exodus: A turning point in semiconductor economics

In the basement of a Boise, Idaho, dental office in 1978, four engineers founded what would become one of America’s semiconductor giants. Ward Parkinson, Joe Parkinson, Dennis Wilson, and Doug Pitman started Micron Technology as a modest design consultancy, backed by local investors including potato magnate J.R. Simplot.  By 1983, they had achieved a technological

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Geminids meteor shower 2025: When and where to watch the spectacular December nights with up to 120 shooting stars per hour

The Geminids meteor shower, a consistent and bright celestial event, is set for a spectacular display in 2025. With minimal moonlight during its peak on December 13-14, stargazers can anticipate 60-120 meteors per hour. This unique shower, originating from asteroid 3200 Phaethon, offers a prime opportunity for unforgettable cosmic viewing.

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Adani-Google AI Data Centre in Visakhapatnam – Rediff MoneyWiz

Adani-Google AI Data Centre in Visakhapatnam  Rediff MoneyWizAndhra Allots 480 Acres For Adani-Google AI Data Centre In Visakhapatnam  NDTV’Despite tariffs, India deeply critical for Google, $15 billion Vizag investment proof of that’: Google…  MoneycontrolAndhra Pradesh govt allots 480 acres to Adani Infra for 1 GW AI Data centres  financialexpress.comWhen global AI rush reaches a small Andhra Pradesh village  Times of

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AI Interview Series #4: Transformers vs Mixture of Experts (MoE)

Question: MoE models contain far more parameters than Transformers, yet they can run faster at inference. How is that possible? Difference between Transformers & Mixture of Experts (MoE) Transformers and Mixture of Experts (MoE) models share the same backbone architecture—self-attention layers followed by feed-forward layers—but they differ fundamentally in how they use parameters and compute.

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How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving

In this tutorial, we build an advanced meta-cognitive control agent that learns how to regulate its own depth of thinking. We treat reasoning as a spectrum, ranging from fast heuristics to deep chain-of-thought to precise tool-like solving, and we train a neural meta-controller to decide which mode to use for each task. By optimizing the

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A smarter way for large language models to think about hard problems

To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions.But common approaches that give LLMs this capability set a fixed computational budget for every problem, regardless of how complex it is. This means the LLM might waste computational resources on simpler questions

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