ai

AI system screens diabetic eye disease with near-perfect accuracy

A new AI programme is showing remarkable accuracy in detecting diabetic retinopathy, a leading cause of preventable blindness. The SMART system, short for Simple Mobile AI Retina Tracker, can scan retinal images using even basic smartphones and has achieved over 99% accuracy.

Researchers at the University of Texas Health Sciences Center in the US trained the AI using thousands of retinal images from diverse populations across six continents. The system processes images in under a second and can distinguish diabetic retinopathy from other eye diseases.

Experts say the technology could dramatically expand access to eye screenings, particularly in areas lacking specialist care. By integrating the tool into regular check-ups, both primary care providers and ophthalmologists could streamline early diagnosis.

Researchers highlighted that the tool’s mobile accessibility allows for global reach, potentially screening billions. The findings were presented at the annual meeting of The Endocrine Society, though they have yet to be peer-reviewed.

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Tech giants work to avert an AI‑driven energy crisis

The AI boom is triggering alarms in the energy sector, with data centres expected to consume 3% of the world’s electricity by 2030, double today’s share. This projection has spurred tech firms to pursue aggressive efficiency strategies.

Control systems powered by AI regulate cooling more precisely, while liquid cooling systems replace inefficient air-based approaches. Cutting-edge chips and more innovative software have already yielded energy savings of 20–30% per workflow.

Infrastructure improvements mean data-centre support systems now consume just 10% of the energy that powering the servers does. Despite these advances, the total energy demand continues to rise, prompting investments in technology upgrades and low-carbon power sources.

A global race is underway as US and Chinese companies push for increasingly efficient AI chips. Still, experts warn that overall consumption will grow, so efficiency alone won’t be enough. Broad energy planning and sustainable strategies are critical to avoid a looming power crunch as AI proliferates.

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AI tool uses walking patterns to detect early signs of dementia

Fujitsu and Acer Medical are trialling an AI-powered tool to help identify early signs of dementia and Parkinson’s disease by analysing patients’ walking patterns. The system, called aiGait and powered by Fujitsu’s Uvance skeleton recognition technology, converts routine movements into health data.

Initial tests are taking place at a daycare centre linked to Taipei Veterans Hospital, using tablets and smartphones to record basic patient movements. The AI compares this footage with known movement patterns associated with neurodegenerative conditions, helping caregivers detect subtle abnormalities.

The tool is designed to support early intervention, with abnormal results prompting follow-up by healthcare professionals. Acer Medical plans to expand the service to elderly care centres across Taiwan by the end of the year.

Fujitsu’s AI was originally developed for gymnastics scoring and adapted to analyse real-world gait data with high accuracy using everyday mobile devices. Both companies hope to extend the technology’s use to paediatrics, sports science, and rehabilitation in future.

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South Korean firm unveils faster AI data centre architecture with CXL-over-Xlink

South Korean company Panmnesia has introduced a new architecture for AI data centres aimed at improving speed and efficiency.

Instead of using only PCIe or RDMA-based systems, its CXL-over-Xlink approach combines Compute Express Link (CXL) with fast accelerator links such as UALink and NVLink.

The company claims this design can deliver up to 5.3 times faster AI training and reduce inference latency sixfold. By allowing CPUs and GPUs to access large shared memory pools via the CXL fabric, AI workloads are no longer restricted by the fixed memory limits inside each GPU.

It will enable data centres to scale compute and memory independently, adapting to changing workload demands without hardware overprovisioning.

Panmnesia’s system also reduces communication overhead using accelerator-optimised links for CXL traffic, helping maintain high throughput with sub-100ns latency.

The architecture incorporates a hierarchical memory model blending local high-bandwidth memory with pooled CXL memory, alongside scalable CXL 3.1 switches that connect hundreds of devices efficiently without bottlenecks.

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Thinking Machines Lab raises $2bn to build safer AI

Thinking Machines Lab, an AI startup founded earlier this year by former OpenAI executive Mira Murati, has raised $2 billion in new funding. The round, which values the company at $12 billion, was led by Andreessen Horowitz and backed by Nvidia, Cisco, AMD, and others.

The company aims to develop safer and more reliable AI systems by focusing on how people naturally interact with the world, including speech and vision. Its first product, due in the coming months, will offer open-source components designed to support researchers and startups.

At launch, nearly two-thirds of the team had previously worked at OpenAI, underscoring the company’s ambition to lead in the field of frontier AI. Murati said the startup plans to make its science publicly available to support understanding and transparency.

The investment comes amid a surge in AI-related funding, which accounted for over 64% of all US startup deal value in the first half of 2025. Growing interest in generative and multimodal AI continues to attract major capital despite wider concerns over tech sector spending.

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AI Appreciation Day highlights progress and growing concerns

AI is marking another milestone as experts worldwide reflect on its rapid rise during AI Appreciation Day. From reshaping business workflows to transforming customer experiences, AI’s presence is expanding — but so are concerns over its long-term implications.

Industry leaders point to AI’s growing role across sectors. Patrick Harrington from MetaRouter highlights how control over first-party data is now seen as key instead of just processing large datasets.

Vall Herard of Saifr adds that successful AI implementations depend on combining curated data with human oversight rather than relying purely on machine-driven systems.

Meanwhile, Paula Felstead from HBX Group believes AI could significantly enhance travel experiences, though scaling it across entire organisations remains a challenge.

Voice AI is changing industries that depend on customer interaction, according to Natalie Rutgers from Deepgram. Instead of complex interfaces, voice technology is improving communication in restaurants, hospitals, and banks.

At the same time, experts like Ivan Novikov from Wallarm stress the importance of securing AI systems and the APIs connecting them, as these form the backbone of modern AI services.

While some celebrate AI’s advances, others raise caution. SentinelOne’s Ezzeldin Hussein envisions AI becoming a trusted partner through responsible development rather than unchecked growth.

Naomi Buckwalter from Contrast Security warns that AI-generated code could open security gaps instead of fully replacing human engineering, while Geoff Burke from Object First notes that AI-powered cyberattacks are becoming inevitable for businesses unable to keep pace with evolving threats.

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Meta unveils 5GW AI data centre plans

Meta has unveiled plans to build a 5GW data centre in Louisiana, part of a significant expansion of its AI infrastructure. CEO Mark Zuckerberg said the Hyperion complex will cover an area nearly the size of Manhattan, with the first 1.5GW phase expected online in 2026.

The company is also constructing a 1GW cluster named Prometheus in US, Ohio, which combines Meta-owned infrastructure with leased systems. Both projects will use a mix of renewable and natural gas power, underlining Meta’s strategy to ramp up compute capacity rapidly.

Zuckerberg stated Meta would invest hundreds of billions of dollars into superintelligence development, supported by elite talent recruited from major rivals. He added that the new data centres would offer the highest compute-per-researcher in the industry.

Amidst growing demand, Meta recently sought $29 billion in financing and secured 1GW of renewable power. Yet the expansion has raised environmental concerns, with one data centre in Georgia reportedly consuming 10% of a county’s water supply.

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OpenAI economist shares four key skills for kids in AI era

As AI reshapes jobs and daily life, OpenAI’s chief economist, Ronnie Chatterji, teaches his children four core skills to help them adapt and thrive.

Instead of relying solely on technology, he believes critical thinking, adaptability, emotional intelligence, and financial numeracy will remain essential.

Chatterji highlighted these skills during an episode of the OpenAI podcast, saying critical thinking helps children spot problems rather than follow instructions. Given constant changes in AI, climate, and geopolitics, he stressed adaptability as another priority.

Rather than expecting children to master coding alone, Chatterji argues that emotional intelligence will make humans valuable partners alongside AI.

The fourth skill he emphasises is financial numeracy, including understanding maths without calculators and maintaining writing skills even with dictation software available. Instead of predicting specific future job titles, Chatterji believes focusing on these abilities equips children for any outcome.

His approach reflects a broader trend among tech leaders, with others like Alexis Ohanian and Sam Altman also promoting AI literacy while valuing traditional skills such as reading, writing, and arithmetic.

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Trump unveils AI economy with $100 billion investment push

Donald Trump revealed during the Pittsburgh, Pennsylvania Energy and Innovation Summit that the US will receive over $100 billion in investments to drive its AI economy and energy infrastructure.

The funding is set to create tens of thousands of jobs across the energy and AI sectors, with Pennsylvania positioned as a central hub.

Trump stated the US is already ‘way ahead of China’ in AI development, adding that staying in the lead will require expanding power production.

Instead of relying solely on renewables, Trump highlighted ‘clean, beautiful coal, oil, and nuclear energy as key pillars supporting AI-related growth.

Westinghouse plans to build several nuclear plants nationwide, while Knighthead Capital will invest $15 billion in North America’s largest natural gas power plant in Homer City, Pennsylvania.

Additionally, Google will revitalise two hydropower facilities within the state, contributing to the broader investment wave. Trump mentioned that 20 major technology and energy firms are preparing further commitments in Pennsylvania, reinforcing its role in what he calls the US ‘AI economy’.

The event, hosted by Senator Dave McCormick at Carnegie Mellon University, also featured discussions with Pennsylvania Governor Josh Shapiro.

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San Francisco deploys AI assistant to 30,000 staff

San Francisco has equipped almost 30,000 city employees, from social workers and healthcare staff to administrators, with Microsoft 365 Copilot Chat. The large-scale rollout followed a six-month pilot where workers gained up to five extra hours a week handling routine tasks, particularly in 311 service lines.

Copilot Chat helps streamline bureaucratic functions, such as drafting documents, translating over 40 languages, summarising lengthy reports, and analysing data. The goal is to free staff to focus more on serving residents directly.

A comprehensive five-week training scheme, supported by InnovateUS, ensures that employees learn to use AI securely and responsibly. This includes best practices for data protection, transparent disclosure of AI-generated content, and thorough fact-checking procedures.

City leadership emphasises that all AI tools run on a secure government cloud and adhere to robust guidelines. Employees must reveal when AI is used and remain accountable for its output. The city also plans future AI deployments in traffic management, permitting, and connecting homeless individuals with support services.

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