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Why AI Struggles With the Unknown While Humans Adapt Instinctively

Researchers from Bielefeld University and global partners propose a unified framework to explain why humans adapt so well to unfamiliar situations while AI systems often fail. The study explores how differing definitions and mechanisms of “generalization” create a critical divide between human and machine intelligence.

16 Sep 2025

New Study Reveals AI’s Failure to Convey Human Suffering

Dr Jan Burzlaff of Cornell University argues that human historians remain essential in the AI age, especially in preserving the emotional weight of traumatic events. His study shows that ChatGPT failed to convey the ethical complexity and raw suffering in Holocaust survivor testimonies.

16 Sep 2025

NSF-Backed Research Builds Safer AI Systems for Life-Saving Missions

A Wake Forest University researcher is developing robust multi-agent reinforcement learning (MARL) algorithms to ensure AI systems can function safely even when individual agents fail. Backed by an NSF CAREER award, her work will enhance AI reliability in high-stakes settings like healthcare, disaster response, and environmental protection.

16 Sep 2025

Playful AI Chatbots Lower Privacy Defenses and Raise Engagement Risks

Interactive features in AI chatbots and mobile apps increase user engagement by fostering a sense of playfulness, but also reduce users' privacy concerns. This can lead to inadvertent disclosure of personal data, highlighting the need for thoughtful design to prompt user awareness.

16 Sep 2025

AI-Generated Music Sparks Legal Call To Protect Human Creativity

A new legal framework is urgently needed to address the rapid growth of generative AI in music, which currently relies on ingesting copyrighted works without clear regulation. Without reform, human creativity risks being devalued in a global system dominated by unlicensed AI output.

16 Sep 2025

Why AI Will Never Replace Human Ingenuity and Adaptability

Researcher Angus Fletcher argues that artificial intelligence cannot replicate human adaptability, which relies on primal intelligence, intuition, imagination, emotion, and common sense. His book Primal Intelligence shows how “story thinking” empowers people to solve novel problems where data is scarce.

16 Sep 2025

UT San Antonio Launches College Of AI Cyber And Computing To Drive Tech Innovation And Workforce Growth

The University of Texas at San Antonio has launched the College of AI, Cyber, and Computing, uniting programs in artificial intelligence, cybersecurity, computing, and data science to serve over 5,000 students and drive workforce growth. Located in San Antonio’s urban core, the college will foster industry collaboration, innovation, and regional economic development.

14 Sep 2025

AI Enhances Non-Destructive Testing in Concrete Engineering

Mostafa Khedr, Mahmoud Metawie, and Mohamed Marzouk from Cairo University have developed a framework that integrates Ground Penetrating Radar (GPR) with deep learning for non-destructive classification of rebar diameters in concrete. Their model using YOLO v8 achieved 97.2% accuracy, offering a safer and more efficient alternative for structural integrity assessments.

14 Sep 2025

Generative AI as a Game Changer in Supply Chain Management

A new study by Huamin Wu, Guo Li, and Dmitry Ivanov establishes the first comprehensive theoretical framework for applying Generative Artificial Intelligence (GAI) in Supply Chain Management (SCM). It outlines GAI’s core capabilities, empowerment mechanisms, and challenges, while proposing a future research agenda to guide the creation of flexible, resilient, and sustainable supply chains.

14 Sep 2025

New Penn GSE Professor Champions Inclusive AI Education For Every Classroom

Shiyan Jiang, a new faculty member at Penn GSE, is pioneering inclusive approaches to AI education by embedding AI across diverse subjects and empowering all teachers, not just computer science specialists, to be AI educators. Her work focuses on building both teacher and student AI identities to make AI education accessible, meaningful, and identity-driven.

14 Sep 2025

AI Moderation Systems Show Striking Inconsistencies In Detecting Hate Speech

This paper by Yphtach Lelkes and Neil Fasching is the first large-scale comparative analysis of seven major AI content moderation systems, evaluating their consistency in detecting hate speech across 1.3 million synthetic sentences. The findings reveal substantial inconsistencies, with some systems flagging identical content as harmful while others deem it acceptable, especially for certain demographic groups.

14 Sep 2025

Rethinking Educational Research For The AI Era: How Scholars Can Rebuild A Broken System

The paper argues that traditional educational research is failing to impact practice and policy due to entrenched methodological flaws, and that the rise of Artificial Intelligence demands a complete epistemological overhaul. It calls for ethical vigilance, methodological pluralism, and innovative, AI-informed approaches to studying education.

11 Sep 2025

Light-Trained Physical Neural Networks Promise Faster Greener AI

Researchers from Politecnico di Milano and international partners developed an in-situ training method for physical neural networks using light-based photonic chips, eliminating the need for digital models. This breakthrough enables faster, more energy-efficient AI computation directly on miniature silicon chips.

11 Sep 2025

New Optical Chip Slashes AI Energy Use With Light-Powered Computing

Researchers at University of Florida have created a silicon chip that uses laser light and microscopic Fresnel lenses to perform convolution operations, a power-intensive step in AI. This optical approach greatly reduces energy use while maintaining near 98% accuracy in machine learning tasks.

11 Sep 2025

AI Learns Evolution’s Logic With Quartet-Based Neural Network

Researchers at Ruhr University Bochum developed a quartet-based deep learning method that embeds phylogenetic tree structures into neural networks. Tested on bacterial 16S rRNA data, it enables AI to extract features aligned with evolutionary relationships rather than random patterns.

11 Sep 2025

AI Pinpoints Immune Cell States Using Force Microscopy Without Labels

A new AI-powered method combines atomic force microscopy with deep learning to rapidly and accurately identify macrophage polarization states without labels or dyes. This approach offers real-time, high-throughput insights into immune function with diagnostic potential across diseases.

11 Sep 2025

AI Can Read Emissions Reports But Can You Trust What It Says?

Researchers created a gold-standard dataset to benchmark AI systems that extract greenhouse gas emissions data from corporate sustainability reports. The study reveals widespread data quality issues, urging caution in using LLMs without verification.

11 Sep 2025

New AI Technique Powers Smarter, Offline Systems Without the Cloud

Kennesaw State University researcher Bobin Deng is developing an AI method that enables powerful models to run directly on personal devices without internet access. By using activation sparsity to predict which data will be needed, his approach reduces energy, memory use, and reliance on cloud computing.

11 Sep 2025

Why Human Hosts Still Outsell AI Streamers in Online Shopping

AI-powered digital streamers are gaining traction in e-commerce livestreams, but they currently underperform compared to human hosts. Real-time interaction and human-like behavior significantly enhance their effectiveness, pointing to hybrid human-AI solutions as the future.

11 Sep 2025

Researchers Warn: AI Could Automate Every Stage of Ransomware

Researchers at NYU Tandon have developed "Ransomware 3.0," a proof-of-concept showing how criminals could use large language models to autonomously execute ransomware attacks. The AI system carried out every phase of an attack in simulations, highlighting future threats and the urgent need for defensive countermeasures.

10 Sep 2025