AI is employed in education to personalize learning experiences, provide adaptive feedback, and automate administrative tasks. It utilizes machine learning algorithms, natural language processing, and data analytics to enhance student engagement, optimize teaching methods, and streamline educational processes, leading to more effective and personalized education.
Agentic AI systems can interpret intent and independently perform complex online tasks, offering major productivity benefits but also introducing new security, privacy, and compliance risks. Researchers at Saint Louis University are stress-testing these agents to identify vulnerabilities and strengthen safeguards before widespread deployment.
A Dartmouth study shows that medical students trust an AI teaching assistant far more when its answers are restricted to expert-curated course materials rather than the open internet. The research demonstrates how retrieval-anchored AI can safely deliver personalized, high-quality educational support at scale.
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.
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.
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).
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.
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.
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.
The American College of Cardiology (ACC) and OpenEvidence have announced a strategic partnership to integrate generative AI into cardiovascular care, enabling clinicians to access real-time, evidence-based insights at the point of care. The collaboration aims to enhance decision-making, improve patient outcomes, and ensure responsible AI implementation in clinical workflows.
Mount Sinai Health System will deploy Microsoft Dragon Copilot, an AI-powered clinical assistant designed to streamline documentation, automate administrative tasks, and reduce clinician burnout. The rollout marks a key milestone in Mount Sinai’s digital transformation and commitment to responsible AI in healthcare.
Researchers at the University of New Hampshire used artificial intelligence to accelerate the discovery of new functional magnetic materials, compiling a searchable database of 67,573 compounds. The system identified 25 previously unknown materials that remain magnetic at high temperatures, potentially reducing reliance on rare earth elements.
NTU Singapore scientists have unveiled a blueprint for carbon-neutral data centres in space, showing how orbital facilities could harness unlimited solar energy and natural cooling for sustainable computing.
Published in Nature Electronics, the study envisions Low Earth Orbit data centres that could transform AI and cloud computing while easing land and energy constraints on Earth.
A new study by Pangram and researchers from the University of Maryland, Microsoft, and others finds that over 9% of U.S. newspaper articles published this year contain AI-generated text, often without disclosure.
AI use was most prevalent in smaller local papers and corporate-owned outlets, raising concerns about transparency, accountability, and the growing influence of generative AI in journalism.
Researchers have developed a milk protein–based artificial tongue that can electrically detect spicy and pungent compounds, such as capsaicin, gingerol, and allicin, without requiring human taste testing. By mimicking casein’s natural ability to bind capsaicin, the flexible gel sensor accurately quantified spiciness in peppers and hot sauces, aligning closely with human taste panel results.
Researchers at Carnegie Mellon University found that large language models with stronger reasoning abilities act more selfishly and cooperate less, influencing group behavior negatively. Their findings suggest that as AI becomes smarter, it must also be designed with social intelligence to prevent self-serving tendencies from spreading in human–AI collaboration.
Rowan University’s Digital Engineering Hub (DEHub) is pioneering the fusion of AI and advanced manufacturing, using a cutting-edge lab equipped with 3D metal printing and supercomputing capabilities to transform real-world production. By integrating intelligent systems with live data processing, DEHub enables real-time flaw detection and design optimization, laying the foundation for industrial-scale smart manufacturing.
A $799,000 NSF-funded project led by FAMU-FSU researchers is developing robotic coaching systems that adapt to human learning, using unicycle training as a model to accelerate motor skill acquisition and transform physical therapy for patients with mobility impairments.
Korean researchers at ETRI have unveiled next-generation remote collaboration technology that enables lifelike face-to-face interaction in XR, including real-time eye contact and realistic handshakes through exoskeleton haptic gloves and AI-powered digital humans.
Chulalongkorn University’s Social Research Institute hosted an international lecture on September 5, 2025, where Dr. Muthu Kumar Chandrasekaran highlighted how AI can transform higher education through personalized learning, research innovation, and global collaboration.
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