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AI Achieves Self-Replication: A Milestone with Profound Implications

AI has crossed a significant threshold as researchers prove its ability to self-replicate. While this advancement highlights AI's immense potential, it also brings ethical, safety, and regulatory concerns to the forefront. Explore the groundbreaking study, the history of AI development, and global efforts to address the risks of frontier AI systems.

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UTAR PhD Student Wins Cisco AI Hackathon with Anti-Procrastination AI Platform

Japan's stringent 100-gram drone law prioritizes safety and accountability, pushing manufacturers to innovate. With AI-driven advancements, ultra-light drones now boast cutting-edge features like autonomous navigation, energy optimization, and precision sensors, all while adhering to regulatory limits. Explore how AI is reshaping the landscape of lightweight drones.

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Exploring the Rise of Emotional Intelligence in Artificial Intelligence

As AI systems advance, the focus shifts from mere intellectual capabilities to emotional intelligence. Learn how AI balances IQ and EQ to solve both rational and emotional problems, with applications in healthcare, education, and customer service. Explore the potential and challenges of creating empathetic AI for better human-computer interactions.

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Can AI Robots Be Classified as Living Things?

Could AI robots one day be considered living things? This article explores the definition of life, borderline cases like viruses, and whether advanced AI systems might fulfil the criteria for life, raising profound ethical and philosophical questions about humanity's future.

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AI Transforms Data Management: Boosting Efficiency & Security Across Industries

Artificial Intelligence is revolutionizing data management, enabling organizations to handle vast information with unmatched efficiency and accuracy. From automating data classification and integration to enhancing data quality and security, AI-driven tools are transforming how businesses manage and utilize data. While challenges like the need for large datasets and skilled professionals remain, the future of AI in data management promises autonomous, self-optimizing systems that drive innovation across industries.

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Jensen Huang Receives HKUST Honour, Forecasts Future of AI and Robotics in Greater Bay Area

NVIDIA CEO Jensen Huang, awarded an honorary doctorate by HKUST, outlined a bold vision for AI and robotics. Highlighting the Greater Bay Area's unique integration of AI and electromechanical technologies, Huang predicts a future dominated by automobiles, drones, and humanoid robots. His forward-thinking insights position the region as a global robotics leader.

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Streem Teams Up with Google Cloud to Revolutionize Media Monitoring with Advanced AI

Streem's collaboration with Google Cloud is set to revolutionize media monitoring with innovative AI tools. The 2025 AI Product Suite brings automated workflows, instant insights, and predictive analytics to PR and communications professionals, enhancing efficiency and decision-making. Find out how this partnership is reshaping the future of media intelligence.

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Mastering the AI Lifecycle: A Roadmap to Successful AI Systems

The AI lifecycle is a comprehensive framework guiding AI projects from problem definition to operational success. By focusing on systematic phases — problem identification, data collection, training, evaluation, deployment, and monitoring — this approach ensures adaptable and impactful AI solutions. Explore how lifecycle tools enhance performance and empower dynamic applications.

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AI Explodes Data Growth, Tripling Since 2019: How to Balance Efficiency and Accuracy?

Amid an explosive growth of global data, AI emerges as a pivotal tool for enterprises seeking resilience and adaptability. This article explores how organizations can responsibly leverage generative AI to manage overwhelming data volumes, enhance decision-making, and build intelligent operations. Discover key strategies to harness AI effectively while safeguarding against the pitfalls of unregulated deployment.

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