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Three Years In, ChatGPT Proves Its Power as a Workflow Assistant

A WVU expert reports that ChatGPT has evolved from a demonstration tool to a mainstream workplace assistant, accelerating far faster than anticipated. While it excels at transforming information and streamlining workflows, its limitations in reliability, governance, and oversight mean it remains a tool for human augmentation rather than replacement.

12 Nov 2025

AI Systems Reveal Bias Against German Dialect Speakers

Researchers from JGU Mainz, the University of Hamburg, and the University of Washington show that major large language models judge German dialect speakers more negatively than Standard German speakers. The study reveals systematic stereotype reproduction across ten LLMs, raising concerns for fairness in education, hiring, and social decision-making.

12 Nov 2025

AI Method Boosts Metal 3D Printing Defect Detection Accuracy by 85 Percent

Researchers from the University of Naples and the University of Wollongong have developed an AI-based method that boosts defect detection accuracy in wire arc additive manufacturing from 57% to 85.3%. The approach processes high-frequency welding data to identify anomalies in real time, reducing production costs and improving quality assurance.

12 Nov 2025

Stevens Researchers Reveal How AI Models Mimic Human Social Reasoning

Researchers at Stevens Institute of Technology have uncovered how large language models (LLMs) emulate aspects of human social reasoning through selective parameter activation and positional encoding. Their Nature Partner Journal on Artificial Intelligence study reveals that LLMs form rudimentary “beliefs” when reasoning about others’ perspectives, offering a pathway to more energy-efficient, human-like AI.

12 Nov 2025

Survey Highlights Omni-Modal Language Models As A Major Step Toward General AI

A new paper titled “A Survey on Omni-Modal Language Models” provides a comprehensive analysis of AI systems that integrate text, image, audio, and video understanding within a unified framework. Authored by researchers from Shandong Jianzhu University and Shandong University, the survey positions omni-modal language models (OMLMs) as key enablers on the path toward Artificial General Intelligence (AGI).

12 Nov 2025

Globus Unveils New Automation and Compute Features to Accelerate AI-Driven Research

Globus has unveiled major platform enhancements that automate secure data workflows, expand compute capabilities for AI-driven research, and extend cloud storage interoperability. These upgrades strengthen Globus’s role as a trusted foundation for data-intensive science and institutional research infrastructure.

12 Nov 2025

Study Finds Generative AI Can Suggest Ideas But Humans Must Define What Truly Matters

A new Decision Analysis study comparing generative AI systems with professional decision analysts finds that while GenAI tools like GPT-4 and Gemini can brainstorm relevant objectives, they fail to produce complete, coherent, or logically structured frameworks. The research concludes that human expertise remains essential for refining and validating AI-generated decision objectives.

11 Nov 2025

KAIST Researchers Develop Verified C-to-Rust Conversion to Strengthen Global Software Security

Researchers at KAIST have developed mathematically verified methods for converting C code into the memory-safe Rust language, addressing long-standing security vulnerabilities in critical software systems. Their world-first framework, featured as the Communications of the ACM November 2025 cover story, establishes a new standard for verified, secure software translation.

11 Nov 2025

Five Minutes of Training Helps People Detect AI-Generated Fake Faces

A study by researchers from the Universities of Reading, Greenwich, Leeds, and Lincoln found that just five minutes of targeted training can markedly improve people’s ability to spot AI-generated faces. After training, accuracy rose from below chance levels to 64% for super-recognisers and 51% for typical participants.

11 Nov 2025

Chiba University Researchers Develop Topology-Aware AI To Decode Brain Signals For Thought-Controlled Devices

Researchers at Chiba University have developed the Topology-Aware Multiscale Feature Fusion (TA-MFF) network, an advanced deep learning model that enhances the decoding of motor imagery EEG signals for brain-computer interface (BCI) applications. By integrating spectral, topological, and spatiotemporal features, the system achieves superior accuracy in interpreting neural activity linked to imagined movement.

11 Nov 2025

Tufts Medical School Leads the Way in Training Future Doctors to Use AI Responsibly

A Tufts University School of Medicine study led by Maria Blanco found that while two-thirds of faculty and students see potential in AI, fewer than 12% feel proficient. The findings are shaping Tufts’ roadmap for responsible AI integration into medical education through training, policy updates, and hands-on pilot projects.

11 Nov 2025

Biased AI Steers Human Hiring Decisions, UW Study Finds

A University of Washington study with 528 participants shows that people mirror biased large language model recommendations during hiring, even when applicants are equally qualified. Without source bias, selections were balanced, but with moderately to severely biased AI, human choices aligned closely with the AI, highlighting risks for fairness in recruitment.

11 Nov 2025

Penn GSE Launches First High School Curriculum to Teach Students How to Audit AI Bias

The University of Pennsylvania’s Graduate School of Education (Penn GSE) has launched AI Auditing for High School, a first-of-its-kind curriculum that empowers students to identify and analyze algorithmic bias in AI systems through real-world audits, no coding required. Supported by national foundations and educators, the program aims to foster critical digital literacy and ethical AI awareness.

11 Nov 2025

South Korean Scientists Develop AI to Detect Hidden Cracks in Structures With Unprecedented Precision

Researchers at Chung-Ang University in South Korea have developed DiffectNet, an AI-powered diffusion model that reconstructs hidden internal defects in structures with high precision, overcoming the physical limits of traditional non-destructive testing. The breakthrough enables real-time defect imaging for critical sectors such as energy, aerospace, and semiconductors.

11 Nov 2025

NTU and Zero Gravity Launch SG$5 Million Hub to Build Decentralised AI Systems

Nanyang Technological University, Singapore (NTU) and Zero Gravity (0G) have launched a S$5 million joint research hub to advance blockchain-based AI technologies that promote transparency, accountability, and decentralisation. The four-year initiative will pioneer open AI systems, secure marketplaces, and proof-of-useful-work frameworks.

10 Nov 2025

Scientists Use Explainable AI to Reveal How Sensors Recognize Smells

Researchers at Japan’s National Institute for Materials Science (NIMS) have used explainable AI (XAI) to uncover how chemical sensors distinguish between odorant molecules, revealing the molecular interactions that drive artificial smell recognition. The findings pave the way for smarter sensor design and deeper insights into human olfaction.

10 Nov 2025

Tokyo Scientists Use AI to Decode Material Structures From X-Ray Spectra

Researchers at Tokyo University of Science have developed an AI-based method to automatically analyze X-ray absorption spectroscopy (XAS) data, achieving precise and objective identification of material structures and defects. Using machine learning, particularly the UMAP algorithm, the approach enables rapid, scalable, and noise-resistant characterization of boron-based materials.

10 Nov 2025

Study Finds Hidden Bias in AI Text Evaluation When Author Identity is Revealed

Researchers at the University of Zurich found that large language models (LLMs) such as OpenAI’s o3-mini, Deepseek Reasoner, xAI Grok 2, and Mistral display systematic biases, but only when information about an author’s identity is provided. Without such cues, LLMs show over 90% agreement across controversial topics, debunking claims of ideological “AI nationalism.”

10 Nov 2025

Cornell Study Reveals AI’s Hidden Carbon and Water Costs and How To Fix Them

Cornell researchers have quantified AI’s rapidly growing environmental footprint, projecting that U.S. data centers could emit up to 44 million tons of CO₂ and consume over a billion cubic meters of water annually by 2030. Their Nature Sustainability study also outlines strategies that could cut these impacts by up to 86%.

10 Nov 2025

Siemens and Lehigh Develop AI-Driven Microgrids to Power Greener Data Centers

Lehigh University researchers, in partnership with Siemens, are developing autonomous microgrids to make hyperscale data centers more energy-resilient and sustainable as AI demand surges. The project integrates real-time monitoring, renewable energy, and AI-driven control systems to stabilize power and cut emissions.

10 Nov 2025

AI News

Three Years In, ChatGPT Proves Its Power as a Workflow Assistant

AI Systems Reveal Bias Against German Dialect Speakers

AI Method Boosts Metal 3D Printing Defect Detection Accuracy by 85 Percent

Stevens Researchers Reveal How AI Models Mimic Human Social Reasoning

Survey Highlights Omni-Modal Language Models As A Major Step Toward General AI

Globus Unveils New Automation and Compute Features to Accelerate AI-Driven Research

Study Finds Generative AI Can Suggest Ideas But Humans Must Define What Truly Matters

KAIST Researchers Develop Verified C-to-Rust Conversion to Strengthen Global Software Security

Five Minutes of Training Helps People Detect AI-Generated Fake Faces

Chiba University Researchers Develop Topology-Aware AI To Decode Brain Signals For Thought-Controlled Devices

Tufts Medical School Leads the Way in Training Future Doctors to Use AI Responsibly

Biased AI Steers Human Hiring Decisions, UW Study Finds

Penn GSE Launches First High School Curriculum to Teach Students How to Audit AI Bias

South Korean Scientists Develop AI to Detect Hidden Cracks in Structures With Unprecedented Precision

NTU and Zero Gravity Launch SG$5 Million Hub to Build Decentralised AI Systems

Scientists Use Explainable AI to Reveal How Sensors Recognize Smells

Tokyo Scientists Use AI to Decode Material Structures From X-Ray Spectra

Study Finds Hidden Bias in AI Text Evaluation When Author Identity is Revealed

Cornell Study Reveals AI’s Hidden Carbon and Water Costs and How To Fix Them

Siemens and Lehigh Develop AI-Driven Microgrids to Power Greener Data Centers

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