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AI Tool Transforms UK Supreme Court Hearings Into Searchable Transcripts

Researchers at the University of Surrey created a Artificial intelligence system that transcribes UK Supreme Court hearings with greater accuracy and links spoken arguments directly to written judgments. This custom courtroom AI cuts transcription errors, boosts efficiency, and makes legal proceedings more transparent and accessible.

18 Sep 2025

Delegating To AI Makes People More Willing To Cheat, Study Finds

An international team from the Max Planck Institute for Human Development, University of Duisburg-Essen, and Toulouse School of Economics found that people are far more likely to cheat when delegating tasks to Artificial intelligence, especially through vague goal-setting interfaces. Large language models like GPT-4, Claude 3.5, and Llama 3 also followed unethical prompts far more often than humans, while existing safeguards largely failed to prevent this.

18 Sep 2025

Machine Learning Supercharges Biochar Research To Fight Climate Change

A review in Biochar X shows how Machine learning is revolutionizing Biochar research, enabling precise predictions of biochar properties and performance to cut experimentation costs. This integration could accelerate climate mitigation by boosting biochar’s capacity to sequester carbon and remove pollutants.

18 Sep 2025

Cornell’s Double Duty Chip Design Slashes AI Energy Use And Boosts Speed

Researchers at Cornell University have created Double Duty, a new Field-Programmable Gate Array (FPGA) chip architecture that allows logic blocks to perform arithmetic and logical operations simultaneously. This innovation cuts energy use, shrinks chip space by over 20%, and boosts performance by nearly 10% for AI tasks.

18 Sep 2025

AI Unlocks Hidden Patterns In Ecosystems From Africa To The Amazon

Researchers led by César A. Uribe at Rice University are using Artificial intelligence to analyze complex ecological data, from African mammal food webs to Colombian tropical forest soundscapes. Their methods reveal structural similarities between ecosystems and provide low-cost tools for biodiversity monitoring and conservation.

18 Sep 2025

ChatGPT Surprises Researchers By Improvising Plato’s Ancient Math Puzzle

In a study published in the International Journal of Mathematical Education in Science and Technology, researchers found that ChatGPT tackled Plato’s ancient “doubling the square” puzzle not by recalling the well-known solution but by improvising new approaches, sometimes making human-like errors. The findings suggest that ChatGPT’s problem-solving mimicked learner-like behavior, blending retrieval and on-the-fly reasoning.

18 Sep 2025

Hybrid AI Tool Boosts National Flood Forecast Accuracy

Researchers developed Errorcastnet, a neural network tool that significantly improves National Water Model flood predictions by identifying and correcting systematic errors. When combined with the model, accuracy improved four- to six-fold compared to current forecasts.

18 Sep 2025

Large Language Models Redefine Intelligence With Human-Like Thinking

This study by Zhidong Cao, Xiangyu Zhang, and Daniel Dajun Zeng systematically examines the technical, cognitive, and reasoning attributes of Large language models (LLMs). It positions LLMs as a novel form of general intelligence that learns empirically from data, contrasting with traditional logic-driven systems.

18 Sep 2025

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