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AI Researchers Sharpen Truth Detection with Fact-Level Hallucination Scanner

Researchers have developed FactSelfCheck, a black-box method that detects AI hallucinations at the fact level using sampling and consistency analysis. This fine-grained approach improves correction accuracy by up to 35% without needing external data or model access.

24 Mar 2025

Wireless Networks Need Human-Like AI to Unlock the Next Tech Revolution

A groundbreaking paper argues that the next revolution in wireless technology hinges on AI with human-like common sense. The researchers propose a paradigm shift, integrating advanced AI with wireless networks to create an "AGI-native" system that can think, plan, and imagine like humans.

19 Mar 2025

AI Set to Transform Health Care as Experts Map Out Solutions to Overcome Barriers

AI has the potential to revolutionize health care by streamlining workflows, enhancing diagnostics, and improving patient outcomes, but barriers such as data privacy, high costs, and regulatory challenges slow its adoption. This comprehensive review offers a roadmap to overcome these hurdles and unlock AI's full potential in medicine.

16 Mar 2025

Generative AI Transforms Tunnel Safety With Smart Inspections and Autonomous Drones

Korea Institute of Civil Engineering and Building Technology has developed generative AI-powered inspection technology that creates synthetic images of tunnel damage to address data scarcity and enhance safety inspections. Integrated with autonomous drones, this innovation enables precise, efficient tunnel inspections without relying on large datasets.

12 Mar 2025

New AI Technique Cuts Hidden Biases Without Knowing What They Are

Researchers have developed a novel AI training technique that eliminates spurious correlations by pruning just a small subset of problematic data—without needing to know what those correlations are. This breakthrough enhances AI model reliability and performance across tasks.

11 Mar 2025

Zero-Shot AI Outperforms GPT-4o in Art Classification, Slashing Annotation Costs

Researchers demonstrate that large language models (LLMs) can classify artwork types with high accuracy using zero-shot learning, reducing the need for costly manual data labeling.

25 Feb 2025

Hollywood’s AI Dilemma: Innovation or Job Destruction?

A University of Washington study explores the anxieties of striking film workers over AI's role in cinema, highlighting concerns about job security, artistic integrity, and the future of filmmaking.

25 Feb 2025

AI Struggles with Abstract Thought: Study Reveals GPT-4’s Limits

A new study reveals that while GPT-4 excels at analogical reasoning in standard tests, it struggles with variations, highlighting its reliance on pattern-matching rather than true understanding.

24 Feb 2025

AI Chatbots Give Basic Endometriosis Info but Lack Medical Accuracy

Researchers at UT Southwestern Medical Center found that AI chatbots provide basic information on endometriosis but lack the depth and accuracy of healthcare professionals. ChatGPT performed best among the three chatbots studied.

20 Feb 2025

AI Reveals Hidden Green Space Gaps in Cities, Driving Smarter Urban Planning

Researchers developed an AI system that improves tracking of urban green spaces using satellite imagery, significantly enhancing accuracy and revealing disparities in vegetation distribution.

20 Feb 2025

AI Copyright Loopholes Threaten UK Creators—Experts Call for Urgent Reform

A new report from Cambridge University warns that allowing AI companies to scrape copyrighted works unless creators actively opt out threatens the UK’s creative industries. Experts urge the government to uphold automatic copyright protections and ensure fair compensation for artists.

20 Feb 2025

AI Can Predict Disease Outbreaks and Revolutionize Pandemic Response

AI can now predict disease outbreaks before they happen, helping governments and healthcare systems act faster. With cutting-edge models, scientists are revolutionizing pandemic response, saving lives, and shaping the future of global health.

19 Feb 2025

Generative AI in Journalism Sparks Fears of Deception and Bias

Audiences and journalists are increasingly concerned about generative AI’s role in journalism, with fears of deception, bias, and job displacement. A new RMIT-led report highlights the urgent need for transparency and systematic AI-vetting processes in newsrooms.

18 Feb 2025

Can AI Really Think? Research Reveals Gaps in Logical Execution

While AI models can break down problems into structured steps, new research reveals they still fail at basic arithmetic and fact-checking—raising questions about their true reasoning abilities.

17 Feb 2025

MIT Scientists Develop More Accurate Weather Prediction Technique

MIT researchers reveal that traditional validation methods for spatial predictions, like weather forecasting, can fail, leading to misleading accuracy assessments. They developed a new evaluation technique that improves prediction reliability in real-world applications.

11 Feb 2025

AI Trained on Real Reddit Edits Transforms Image Editing Models

Researchers from the University of Washington introduced REALEDIT, a large-scale dataset sourced from real Reddit image edits, enabling AI models to significantly improve at real-world image editing tasks.

9 Feb 2025

When AI Judges AI, Bias Becomes a Hidden Threat

As AI models become more advanced, their errors become more similar, undermining AI oversight mechanisms. A new metric, CAPA, reveals that AI judges and AI-assisted training reinforce systemic biases instead of mitigating them.

9 Feb 2025

AI Reshapes Customer Service: Big Gains for Some, Trade-Offs for Others

A new study reveals that AI-assisted customer service agents work faster and more efficiently, with the biggest gains seen among less-experienced workers, while highly skilled agents experience only marginal improvements in speed and slight declines in quality.

4 Feb 2025

AI Model EpiBERT Predicts Gene Expression by Unlocking DNA’s Hidden Regulatory Code

Scientists have developed EpiBERT, an AI model that predicts gene expression by decoding chromatin accessibility and regulatory grammar across human cell types.

29 Jan 2025

AI Models Struggle to Master Expert-Level Historical Knowledge

Researchers benchmarked AI models using the Seshat Global History Databank and found significant gaps in their ability to understand and analyze expert-level historical knowledge.

21 Jan 2025