Researchers at the Marine Biological Laboratory in Massachusetts are using AI and advanced visualisation tools to study how memories are formed in the human brain. Their work focuses on understanding how experiences produce lasting biological changes linked to long-term memory.
The project is led by Andre Fenton of New York University and Abhishek Kumar of the University of Wisconsin–Madison. Using NVIDIA RTX GPUs and HP Z workstations, the team analyses large-scale brain imaging data with custom AI tools and the syGlass virtual reality platform.
Researchers centred on the hippocampus, a brain structure central to memory. Scientists are examining specific protein markers in neurons to reveal how memories are encoded, even though these markers represent only a small fraction of the brain’s overall protein landscape.
High-resolution 3D imaging previously created a major data bottleneck. AI-supported workflows now allow researchers to capture, inspect, and store terabytes of volumetric data, enabling more detailed analysis of brain cell structure and function.
Researchers say understanding memory at a molecular level could support earlier insights into neurological and psychiatric conditions. The tools are also being used for education, allowing students to explore brain data interactively while contributing to ongoing research.
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OpenAI has introduced new Personalisation settings in ChatGPT that allow users to fine-tune warmth, enthusiasm and emoji use. The changes are designed to make conversations feel more natural, instead of relying on a single default tone.
ChatGPT users can set each element to More, Less or Default, alongside existing tone styles such as Professional, Candid and Quirky. The update follows previous adjustments, where OpenAI first dialled back perceived agreeableness, then later increased warmth after users said the system felt overly cold.
Experts have raised concerns that highly agreeable AI could encourage emotional dependence, even as users welcome a more flexible conversational style.
Some commentators describe the feature as empowering, while others question whether customising a chatbot’s personality risks blurring emotional boundaries.
The new tone controls continue broader industry debates about how human-like AI should become. OpenAI hopes that added transparency and user choice will balance personal preference with responsible design, instead of encouraging reliance on a single conversational style.
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The Japan Fair Trade Commission (JFTC) announced it will investigate AI-based online search services over concerns that using news articles without permission could violate antitrust laws.
Authorities said such practices may amount to an abuse of a dominant bargaining position under Japan’s antimonopoly regulations.
The inquiry is expected to examine services from global tech firms, including Google, Microsoft, and OpenAI’s ChatGPT, as well as US startup Perplexity AI and Japanese company LY Corp. AI search tools summarise online content, including news articles, raising concerns about their effect on media revenue.
The Japan Newspaper Publishers and Editors Association warned AI summaries may reduce website traffic and media revenue. JFTC Secretary General Hiroo Iwanari said generative AI is evolving quickly, requiring careful review to keep up with technological change.
The investigation reflects growing global scrutiny of AI services and their interaction with content providers, with regulators increasingly assessing the balance between innovation and fair competition in digital markets.
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A significant debate has erupted in South Korea after the National Assembly passed new legislation aimed at tackling so-called fake news.
The revised Information and Communications Network Act bans the circulation of false or fabricated information online. It allows courts to impose punitive damages up to five times the losses suffered when media outlets or YouTubers intentionally spread disinformation for unjust profit.
Journalists, unions and academics warn that the law could undermine freedom of expression and weaken journalism’s watchdog function instead of strengthening public trust.
Critics argue that ambiguity over who decides what constitutes fake news could shift judgement away from the courts and toward regulators or platforms, encouraging self-censorship and increasing the risk of abusive lawsuits by influential figures.
Experts also highlight the lack of strong safeguards in South Korea against malicious litigation compared with the US, where plaintiffs must prove fault by journalists.
The controversy reflects more profound public scepticism about South Korean media and long-standing reporting practices that sometimes rely on relaying statements without sufficient verification, suggesting that structural reform may be needed instead of rapid, punitive legislation.
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US insurance firm Aflac has confirmed that a cyberattack disclosed in June affected around 22.65 million people. The breach involved the theft of sensitive personal and health information; however, the company initially did not specify the number of individuals affected.
In filings with the Texas attorney general, Aflac said the compromised data includes names, dates of birth, home addresses, government-issued identification numbers, driving licence details, and Social Security numbers. Medical and health insurance information was also accessed during the incident.
A separate filing with the Iowa attorney general suggested the attackers may be linked to a known cybercriminal organisation. Federal law enforcement and external cybersecurity specialists indicated the group had been targeting the insurance sector more broadly.
Security researchers have linked a wave of recent insurance-sector breaches to Scattered Spider, a loosely organised group of predominantly young, English-speaking hackers. The timing and targeting of the Aflac incident align with the group’s activity.
The US company stated that it has begun notifying the affected individuals. The company, which reports having around 50 million customers, did not respond to requests for comment. Other insurers, including Erie Insurance and Philadelphia Insurance Companies, reported breaches during the same period.
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Increasingly, YouTube creators are utilising AI-generated music to enhance video quality, saving time and costs. Selecting tracks that align with the content tone and audience expectations is crucial for engagement.
Subtle, balanced music supports narration without distraction and guides viewers through sections. Thoughtful use of intros, transitions and outros builds channel identity and reinforces branding.
Customisation tools allow creators to adjust tempo, mood and intensity for better pacing and cohesion with visuals. Testing multiple versions ensures the music feels natural and aligns with storytelling.
Understanding licensing terms protects monetisation and avoids copyright issues. Combining AI music with creative judgement keeps content authentic and original while maximising production impact.
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AI is extending the clinical value of chest X-rays beyond lung and heart assessment. Researchers are investigating whether routine radiographs can support broader disease screening without the need for additional scans. Early findings suggest existing images may contain underused diagnostic signals.
A study in Radiology: Cardiothoracic Imaging examined whether AI could detect hepatic steatosis from standard frontal chest X-rays. Researchers analysed more than 6,500 images from over 4,400 patients across two institutions. Deep learning models were trained and externally validated.
The AI system achieved area-under-curve scores above 0.8 in both internal and external tests. Saliency maps showed predictions focused near the diaphragm, where part of the liver appears on chest X-rays. Results suggest that reliable signal extraction can be achieved from routine imaging.
Researchers argue the approach could enable opportunistic screening during standard care. Patients flagged by AI could be referred for a dedicated liver assessment when appropriate. The method adds clinical value without increasing imaging costs or radiation exposure.
Experts caution that the model is not a standalone diagnostic tool and requires further prospective validation. Integration with clinical and laboratory data remains necessary to reduce false positives. If validated, AI-enhanced X-rays could support scalable risk stratification.
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Use of AI chatbots for everyday tasks, from structuring essays to analysing data, has become widespread. Researchers are increasingly examining whether reliance on such tools affects critical thinking and learning. Recent studies suggest a more complex picture than simple decline.
A research study published by MIT found reduced cognitive activity among participants who used ChatGPT to write essays. Participants also showed weaker recall than those who completed tasks without AI assistance, raising questions about how learning develops when writing is outsourced.
Similar concerns emerged from studies by Carnegie Mellon University and Microsoft. Surveys of white-collar workers linked higher confidence in AI tools with lower levels of critical engagement, prompting warnings about possible overreliance.
Studies involving students present a more nuanced outcome. Research published by Oxford University Press found that many pupils felt AI supported skills such as revision and creativity. At the same time, some reported that tasks became too easy, limiting deeper learning.
Experts emphasise that outcomes depend on how AI tools are used. Educators argue for clearer guidance, transparency, and further research into long-term effects. Used as a tutor rather than a shortcut, AI may support learning rather than weaken it.
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Chief financial officers predict AI will shift finance from experimentation to enterprise-wide impact in 2026. Real-time insights, scenario modelling and strategic decision-making are expected to become central to finance functions.
Success depends on trusted data, strong governance, modernised architectures and human judgement. AI will not replace expertise, but rather reveal gaps and reward organisations that integrate AI with their strategy.
CFOs plan to use AI for capital allocation, forecasting, risk management and operational efficiency. The focus is moving from efficiency gains to transformative, high-value work that drives measurable outcomes.
Enterprise-wide adoption of AI will require robust oversight and upskilling of finance teams. Leaders who modernise systems and combine AI with human expertise will gain a competitive edge.
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A new research paper published in Aging-US uses AI to map a century of global ageing research. The study analyses how scientific priorities have shifted over time. Underexplored areas are also identified.
Researchers analysed more than 460,000 scientific abstracts published between 1925 and 2023. Natural language processing and machine learning were used to cluster themes and track trends. The aim was to provide an unbiased view of the field’s evolution.
Findings show a shift from basic biological studies toward clinical research, particularly age-related diseases such as Alzheimer’s and dementia. Basic science continues to focus on cellular mechanisms. Limited overlap persists between laboratory and clinical research.
Several fast-growing topics, including autophagy, RNA biology, and nutrient sensing, remain weakly connected to clinical applications. Strong links endure in areas such as cancer and ageing. Other associations, including epigenetics and autophagy, are rarely explored.
The analysis highlights gaps that may shape future ageing research priorities. AI-based mapping provides insights into how funding and policy shape focus areas. Greater integration could support more effective translation into clinical outcomes.
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