Latest News On AI In Science & Research | Page 4

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Follow fresh insights sorted by the date they surfaced.

12 Mar 2026

AI influence drives thought homogenization, flattening how millions write and reason

Research published in Trends in Cognitive Sciences reveals that Large Language Models like ChatGPT are creating sameness in human writing and thinking. Scientists warn that AI influence extends beyond direct users, threatening cognitive diversity and collective intelligence as one-third of Americans now use these tools regularly.

3 Sources

11 Mar 2026

AI and neuroscience reveal how children's brains master language from age 2 to 10

Researchers are using AI deep learning models and advanced brain imaging to decode human language development. Studies show AI can model how 2-year-olds process audiobooks, revealing that grammar skills mature between ages 2 and 10. The work challenges traditional views of language as living in just two brain regions, instead revealing it as a complex, interconnected system.

2 Sources

10 Mar 2026

AI boosts breast cancer detection by 10% in major UK screening studies, flags hidden cancers

Major UK studies show AI integration into breast cancer screening increases detection rates by 10.4% and identifies up to 27.5% of interval cancers before they become visible. The technology also reduces radiologist workload by up to 44% while maintaining accuracy across diverse populations, marking a shift in how screening programs could operate.

6 Sources

08 Mar 2026

AI deanonymization exposes anonymous social media accounts with alarming 68% success rate

New research from ETH Zurich and Anthropic reveals that large language models can unmask anonymous social media accounts with alarming precision. The study successfully identified 68 percent of pseudonymous users with 90 percent accuracy, fundamentally challenging assumptions about online privacy. Researchers warn that AI deanonymization could enable surveillance of activists, highly personalized scams, and hyper-targeted advertising.

4 Sources

06 Mar 2026

Anthropic launches AI job destruction detector as white-collar workers face rising exposure

Anthropic has released a new research tool tracking labor market impacts of AI, revealing that white-collar workers in fields like programming and customer service face the highest theoretical exposure to AI job displacement. While actual AI coverage remains far below its theoretical capability, the data shows a massive gap that could signal future disruption, particularly for older, highly educated, and well-paid professionals.

10 Sources

04 Mar 2026

Stanford's Merlin AI delivers consistent diagnoses across hospitals using 3D CT scans

Stanford researchers developed Merlin AI, a vision-language model that analyzes 3D abdominal CT scans with 81% accuracy in predicting diagnoses. Trained on over 15,000 scans and nearly one million diagnostic codes, the NIH-funded tool outperformed specialized models across 750 tasks and demonstrated consistent performance across multiple hospital sites, offering a potential solution to the growing radiologist shortage.

2 Sources

27 Feb 2026

Humanity's Last Exam reveals the gap between AI and human intelligence despite rapid progress

Researchers created Humanity's Last Exam, a PhD-level AI benchmark with 2,500 questions designed to assess the limits of AI reasoning. Google's Gemini 3 Deep Think achieved the highest score at 48.4%, while human experts score around 90%. Despite progress, experts emphasize this doesn't signal the arrival of Artificial General Intelligence.

2 Sources

25 Feb 2026

Harvard Study Shows AI Can Predict 71% of Fund Manager Trades, Raising Questions About Fees

A Harvard-led study reveals that AI can predict 71% of mutual fund trading decisions, suggesting much of active management follows detectable patterns. The research, analyzing data from 1990 to 2023, found that the unpredictable 29% of trades is where genuine alpha lives. The findings challenge the justification for high active-management fees and highlight how automation could reshape the $54 trillion asset management industry.

3 Sources

AI chatbots interpret 'likely' as 80% probability while humans assume 65%, new study reveals

A new study published in NPJ Complexity reveals that AI chatbots and humans interpret probability words differently, with language models assigning 'likely' to 80% while humans assume 65%. This probability misalignment poses risks in high-stakes fields like healthcare and government policy, where miscommunication about uncertainty could lead to flawed decisions.

2 Sources

24 Feb 2026

Guide Labs open-sources Steerling-8B, a new interpretable LLM that traces every token to source

San Francisco startup Guide Labs has open-sourced Steerling-8B, an 8-billion parameter language model built with a novel architecture that makes every generated token traceable to its training data origins. Founded by Julius Adebayo and Aya Abdelsalam Ismail, the company aims to solve AI's black box problem by engineering interpretability directly into the model rather than analyzing it post-hoc.

2 Sources

AI model predicts bone removal in cochlear implant surgery to enhance surgical planning

Researchers from Vanderbilt University and partners developed an AI model that predicts bone removal during cochlear implant surgery. The system analyzes CT scans to forecast mastoidectomy shape, achieving a 0.72 Dice score across 751 cases. This medical imaging technology could support robotic surgical tools and improve patient outcomes.

2 Sources

20 Feb 2026

ChatGPT cracks decades-old gluon amplitude puzzle, marking AI's first major theoretical physics win

ChatGPT solved a complex gluon amplitude problem that had stumped theoretical physicists for decades, proving that certain particle interactions previously thought impossible can actually occur. Working alongside Andrew Strominger and a team of researchers, the AI simplified complex mathematical expressions and generated a proof in just 12 hours—what might have taken humans indefinitely to solve.

2 Sources

AI agents surge in capability but lack safety disclosures, MIT AI Agent Index reveals

MIT researchers analyzed 30 AI agents and found a troubling pattern: while developers eagerly showcase what their systems can do, only 19% disclose formal safety policies and fewer than 10% report external safety evaluations. The study exposes how agentic AI systems that can autonomously perform tasks like booking flights and managing workflows are advancing faster than their safety frameworks.

6 Sources

19 Feb 2026

MIT Researchers Expose Hidden Biases and Personalities in Large Language Models

Researchers from MIT and UC San Diego have developed a method to identify and manipulate over 500 hidden concepts within large language models, including biases, personalities, and moods. The technique uses a Recursive Feature Machine algorithm to steer AI responses, improving performance while also exposing potential vulnerabilities like jailbreaking and hallucinations.

3 Sources

13 Feb 2026

AI Prosthetic Arm Study Finds One-Second Movement Speed Feels Most Natural to Users

Researchers used virtual reality to discover that AI-powered prosthetic arms feel most like part of the body when they move at a moderate pace of about one second. The study tested six different speeds and found that both overly fast and slow movements reduced body ownership and usability, revealing critical design insights for future autonomous prosthetics.

3 Sources

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