Croatia turns bus stops into AI-powered health stations

Croatia has introduced a groundbreaking public health campaign that uses AI and interactive billboards to tackle undiagnosed spinal issues. The initiative, led by Croatia Poliklinika, has provided over 100,000 free posture screenings and reached nearly 78% of the country’s population.

By converting bus stops into makeshift health stations, the project enables passers-by to receive posture checks via AI-powered digital billboards. The system analyses spine alignment at eight points and offers instant feedback, encouraging users to seek specialist help through a QR code.

The campaign has sparked immediate behavioural change, with 97% of people adjusting their posture during the scan. Since its launch, Croatia has seen a 46% rise in preventive spine check-ups, turning passive advertising spaces into tools for public well-being.

Croatia Poliklinika, which operates nine clinics nationwide, says the project demonstrates how digital infrastructure can reshape healthcare accessibility. The success is being hailed as a model for how technology can redefine public health engagement in everyday spaces.

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Amazon reaches one million warehouse robots

Amazon has reached a major milestone with over one million robots now operating in its warehouses.

The one millionth robot, recently deployed to a facility in Japan, marks 13 years since the tech giant began introducing automation through its acquisition of Kiva Systems in 2012.

The robotic presence is fast approaching parity with Amazon’s human workforce, according to The Wall Street Journal. Robots now assist in around 75% of the company’s global deliveries.

The company continues to upgrade its robotic fleet, recently unveiling Vulcan — a dual-armed model equipped with a suction grip and a sense of touch to handle items more delicately.

Amazon is also introducing DeepFleet, a new generative AI model built using Amazon SageMaker.

Designed to optimise robotic movement within fulfilment centres, DeepFleet is expected to improve fleet speed by 10%. The model is trained on Amazon’s operational data, making it highly tailored to the company’s logistical network.

The expansion comes as Amazon opens next-generation fulfilment centres featuring ten times more robots instead of relying solely on existing warehouse models. The first of these facilities opened in late 2024 in Shreveport, Louisiana, signalling a shift toward even greater automation.

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Pentagon backs $10M deal with AI firm to integrate LLMs across its command centres

Pentagon officials have awarded AI firm Ask Sage a $10 million contract to integrate large language models (LLMs) across all US Combatant Commands, the Joint Staff, and the Office of the Secretary of Defence. The collaboration seeks to harness generative AI to speed up battlefield decision‑making and streamline workflows.

Application benefits include operational planning, logistics, command and control, intelligence, cybersecurity, and weapons development. Ask Sage’s AI‑powered tools will be deployed through the US Army’s LLM workspace, seamlessly linking classified and unclassified networks.

Deployment of these models is expected to support more agile, informed military operations while navigating security and data‑sharing challenges inherent to classified environments. The deal marks a strategic continuation of the Pentagon’s wider AI and digital transformation efforts.

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Grammarly invests in email with Superhuman acquisition

Grammarly announced on Tuesday that it has acquired email client Superhuman to expand its AI capabilities within its productivity suite.

Financial details of the deal were not disclosed by either company. Superhuman, founded by Rahul Vohra, Vivek Sodera and Conrad Irwin, has raised over $114 million from investors such as a16z and Tiger Global, with a last valuation of $825 million.

Grammarly CEO Shishir Mehrotra said the acquisition will enable the company to bring enhanced AI collaboration to millions more professionals, adding that email is not just another app but a crucial platform where users spend significant time.

Superhuman’s CEO Rahul Vohra and his team are joining Grammarly, promising to invest further in improving the Superhuman experience and building AI agents that collaborate across everyday communication tools.

Recently, Superhuman introduced AI-powered features like scheduling, replies and email categorisation. Grammarly aims to leverage the technology to build smarter AI agents for email, which remains a top use case for its customers.

The move follows Grammarly’s acquisition of productivity software Coda last year and the promotion of Shishir Mehrotra to CEO.

In May, Grammarly secured $1 billion from General Catalyst through a non-dilutive investment, repaid by a capped percentage of revenue generated using the funds instead of equity.

The Superhuman deal further signals Grammarly’s commitment to integrating AI deeply into professional communication.

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Why AI won’t replace empathy at work

AI is increasingly being used to improve how organisations measure and support employee performance and well-being.

According to Dr Serena Huang, founder of Data with Serena and author of The Inclusion Equation, AI provides insights that go far beyond traditional annual reviews or turnover statistics.

AI tools can detect early signs of burnout, identify high-potential staff, and even flag overly controlling management styles. More importantly, they offer the potential to personalise development pathways based on employee needs and aspirations.

Huang emphasises, however, that ethical use is vital. Transparency and privacy must remain central to ensure AI empowers rather than surveils workers. Far from making human skills obsolete, Huang argues that AI increases their value.

With machines handling routine analysis, people are free to focus on complex challenges and relationship-building—critical skills in sales, leadership, and team dynamics. AI can assist, but it is emotional intelligence and empathy that truly drive results.

To ensure data-driven efforts align with business goals, Huang urges companies to ask better questions. Understanding what challenges matter to stakeholders helps ensure that any AI deployment addresses real-world needs. Regular check-ins and progress reviews help maintain alignment.

Rather than fear AI as a job threat, Huang encourages individuals to embrace it as a tool for growth. Staying curious and continually learning can ensure workers remain relevant in an evolving market.

She also highlights the strategic advantage of prioritising employee well-being. Companies that invest in mental health, work-life balance, and inclusion enjoy higher productivity and retention.

With younger workers placing a premium on wellness and values, businesses that foster a caring culture will attract top talent and stay competitive. Ultimately, Huang sees AI not as a replacement for people, but as a catalyst for more human-centric, data-informed workplaces.

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UK urged to prepare for agentic AI in government

Agentic AI, a new generation of AI that goes beyond automation to deliver full task orchestration, could change how government operates. Sharon Moore, CTO Public Sector UK at IBM, argues the UK Government must adopt this technology to drive operational efficiency and better public services.

Departments using AI agents have already recorded significant savings, such as 3,300 hours saved in HR tasks by East and North Hertfordshire NHS Trust and 800 hours monthly by a New Jersey agency. IBM itself has cut development costs by billions, showcasing the potential for large-scale productivity gains.

Agentic systems integrate multiple AI models and tools, solving complex problems with minimal human intervention. Unlike traditional chatbots, these systems handle end-to-end tasks and adapt across use cases, from citizen services to legacy software modernisation.

To implement these systems safely, the UK must address risks like data leaks, hallucinations, and compliance failures. Moore emphasises that future governance must shift from overseeing individual models to managing entire AI systems, built on transparency, security, and performance oversight.

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Springer machine learning book faces fake citation scandal

A Springer Nature book on machine learning has come under scrutiny after researchers discovered that many of its citations were fabricated or erroneous.

A review of 18 citations in Mastering Machine Learning: From Basics to Advanced revealed that two-thirds either referenced nonexistent papers or misattributed authorship and publication sources.

Several academics whose names were included in the book confirmed they did not write the cited material, while others noted inaccuracies in where their actual work was supposedly published. One researcher was alerted by Google Scholar to multiple fake citations under his name.

Govindakumar Madhavan, the author, has not confirmed whether AI tools were used in producing the content, though his book discusses ethical concerns around AI-generated text.

Springer Nature has acknowledged the issue and is investigating whether the book breached its AI use policies, which require authors to declare AI involvement beyond basic editing.

The incident has reignited concerns about publishers’ quality control, with critics pointing to the increasing misuse of large language models in academic texts. As AI tools become more advanced, ensuring the integrity of published research remains a growing challenge for both authors and editors.

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Student builds AI app to help farmers tackle crop issues

A student is developing an AI-powered app designed to help farmers detect and address crop problems. Soj Gamayon, a communications technology management student at Ateneo de Manila University, was inspired by his family’s farming struggles and his experiences abroad to build AgriConnect PH.

The app uses smart sensors to monitor conditions such as water levels, moisture, and pests, then sends the data to the cloud where it is analysed by AI. Farmers receive real-time alerts with a colour-coded system indicating the severity of risks, helping them respond before crops are damaged.

Gamayon aims to move farmers from reactive responses to proactive management. With updates available at least twice a day and instant alerts for urgent threats, the system offers timely intervention to reduce losses.

Currently supporting cereal crops like rice and corn, the app is set to expand to vegetables and livestock. While the technology is still in development, Gamayon believes AI can revolutionise agriculture and provide Filipino farmers with better tools for resilience.

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Gemini AI suite expands to help teachers plan and students learn

Google has unveiled a major expansion of its Gemini AI tools tailored for classroom use, launching over 30 features to support teachers and students. These updates include personalised AI-powered lesson planning, content generation, and interactive study guides.

Teachers can now create custom AI tutors, known as ‘Gems’, to assist students with specific academic needs using their own teaching materials. Google’s AI reading assistant is also gaining real-time support features through the Read Along tool in Classroom, enhancing literacy development for younger users.

Students and teachers will benefit from wider access to Google Vids, the company’s video creation app, enabling them to create instructional content and complete multimedia assignments.

Additional features aim to monitor student progress, manage AI permissions, improve data security, and streamline classroom content delivery using new Class tools.

By placing AI directly into the hands of educators, Google aims to offer more engaging and responsive learning, while keeping its tools aligned with classroom goals and policies. The rollout continues Google’s bid to take the lead in the evolving AI-driven edtech space.

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The cognitive cost of AI: Balancing assistance and awareness

The double-edged sword of AI assistance

The rapid integration of AI tools like ChatGPT into daily life has transformed how we write, think, and communicate. AI has become a ubiquitous companion, helping students with essays and professionals streamline emails.

However, a new study by MIT raises a crucial red flag: excessive reliance on AI may come at the cost of our own mental sharpness. Researchers discovered that frequent ChatGPT users showed significantly lower brain activity, particularly in areas tied to critical thinking and creativity.

The study introduces a concept dubbed ‘cognitive debt,’ a reminder that while AI offers convenience, it may undermine our cognitive resilience if not used responsibly.

MIT’s method: How the study was conducted

The MIT Media Lab study involved 54 participants split into three groups: one used ChatGPT, another used traditional search engines, and the third completed tasks unaided. Participants were assigned writing exercises over multiple sessions while their brain activity was tracked using electroencephalography (EEG).

That method allowed scientists to measure changes in alpha and beta waves, indicators of mental effort. The findings revealed a striking pattern: those who depended on ChatGPT demonstrated the lowest brain activity, especially in the frontal cortex, where high-level reasoning and creativity originate.

Diminished mental engagement and memory recall

One of the most alarming outcomes of the study was the cognitive disengagement observed in AI users. Not only did they show reduced brainwave activity, but they also struggled with short-term memory.

Many could not recall what they had written just minutes earlier because the AI had done most of the cognitive heavy lifting. This detachment from the creative process meant that users were no longer actively constructing ideas or arguments but passively accepting the machine-generated output.

The result? A diminished sense of authorship and ownership over one’s own work.

Homogenised output: The erosion of creativity

The study also noted a tendency for AI-generated content to appear more uniform and less original. While ChatGPT can produce grammatically sound and coherent text, it often lacks the personal flair, nuance, and originality that come from genuine human expression.

Essays written with AI assistance were found to be more homogenised, lacking distinct voice and perspective. This raises concerns, especially in academic and creative fields, where originality and critical thinking are fundamental.

The overuse of AI could subtly condition users to accept ‘good enough’ content, weakening their creative instincts over time.

The concept of cognitive debt

‘Cognitive debt’ refers to the mental atrophy that can result from outsourcing too much thinking to AI. Like financial debt, this form of cognitive laziness builds over time and eventually demands repayment, often in the form of diminished skills when the tool is no longer available.

Typing

Participants who became accustomed to using AI found it more challenging to write without it later on. The reliance suggests that continuous use without active mental engagement can erode our capacity to think deeply, form complex arguments, and solve problems independently.

A glimmer of hope: Responsible AI use

Despite these findings, the study offers hope. Participants who started tasks without AI and only later integrated it showed significantly better cognitive performance.

That implies that when AI is used as a complementary tool rather than a replacement, it can support learning and enhance productivity. By encouraging users to first engage with the problem and then use AI to refine or expand their ideas, we can strike a healthy balance between efficiency and mental effort.

Rather than abstinence, responsible usage is the key to retaining our cognitive edge.

Use it or lose it

The MIT study underscores a critical reality of our AI-driven era: while tools like ChatGPT can boost productivity, they must not become a substitute for thinking itself. Overreliance risks weakening the faculties defining human intelligence—creativity, reasoning, and memory.

The challenge in the future is to embrace AI mindfully, ensuring that we remain active participants in the cognitive process. If we treat AI as a partner rather than a crutch, we can unlock its full potential without sacrificing our own.

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