Future of AI News: 6 August 2025 - 18 August 2025

AI That Knows How You Feel: The Rise of Emotion-Detecting Tech
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AI That Knows How You Feel: The Rise of Emotion-Detecting Tech

Emotion-detecting AI, also called affective computing, uses facial analysis, voice tone, text sentiment, and physiological signals to infer human emotions. MoodCapture app, launched in 2024, uses the phone’s camera to detect early signs of depression by analyzing facial expressions, achieving about 75%
August 18, 2025
Exposed: Inside the Secret AI Race – Leaks, Rumors, and the Hidden Quest for AGI
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Exposed: Inside the Secret AI Race – Leaks, Rumors, and the Hidden Quest for AGI

In late 2023, OpenAI researchers circulated an internal letter about a code-named model “Q” (Q-Star) that reportedly solved certain math problems at roughly grade-school level, fueling AGI speculation. OpenAI released GPT-4 in March 2023 with no architecture, training data, hardware, or training
August 18, 2025
Retrieval-Augmented Generation (RAG): The Search‑Enhanced AI Revolution in Chatbots and Enterprise Applications
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Retrieval-Augmented Generation (RAG): The Search‑Enhanced AI Revolution in Chatbots and Enterprise Applications

RAG stands for Retrieval-Augmented Generation, a hybrid AI approach that combines a large language model with a search engine or database to fetch external knowledge for grounded, up-to-date answers. In 2025, RAG has emerged as a strategic imperative for modern AI, powering
August 13, 2025
No-Code AI Revolution: How Non-Techies Are Building Machine Learning Models
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No-Code AI Revolution: How Non-Techies Are Building Machine Learning Models

No-code machine learning enables non-technical users to build, train, and deploy ML models through visual interfaces, creating a new class of citizen data scientists. Leading platforms—Google Cloud AutoML (Vertex AI), Microsoft Azure ML, DataRobot, Akkio, Obviously AI, and Amazon SageMaker Canvas—automate data
August 10, 2025
The AI Revolution Is Here: How Large Language Models Are Reshaping Business, Coding, and Automation
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The AI Revolution Is Here: How Large Language Models Are Reshaping Business, Coding, and Automation

By 2025, 95% of U.S. companies are using AI. ChatGPT captured 1 million users in 5 days after launch, signaling rapid adoption. GPT-4, released in 2023 as a multimodal model, was followed in late 2023 by GPT-4 Turbo with an extended context
August 10, 2025

Technology News

  • Some quantum computers may require more power than supercomputers
    January 9, 2026, 2:44 AM EST. Quantum computers may require more power than the world's fastest supercomputers, depending on design choices. Most existing machines have fewer than a thousand qubits, the basic units of quantum information, and they suffer from errors. To be genuinely useful, researchers say, they must become FTQCs with many more qubits and robust error correction. At the Q2B Silicon Valley conference, Olivier Ezratty of the Quantum Energy Initiative warned that several FTQC designs scaled to about 4000 logical qubits could consume more energy than today's top systems. The LLNL's El Capitan supercomputer runs at roughly 20 megawatts. Ezratty's estimates place some FTQC designs at up to 200 megawatts, though others could stay under 1 megawatt. Cooling needs and other hardware choices largely drive the variance.