Artificial intelligence

Liverpool scientists develop low-cost AI blood test for Alzheimer’s

Scientists at the University of Liverpool have developed a low-cost blood test that could enable earlier detection of Alzheimer’s disease. The handheld devices, powered by AI and equipped with polymer-based biosensors, deliver results with accuracy comparable to hospital tests at a fraction of the cost.

Alzheimer’s affects more than 55 million people worldwide and remains the most common cause of dementia. Existing hospital tests are accurate but expensive and inaccessible in many clinics, delaying diagnosis and treatment, particularly in low- and middle-income countries.

One study utilised plastic antibodies on a porous gold surface to detect p-tau181, matching high-end laboratory methods. Another built a circuit-board device with a chemical coating that distinguished healthy from patient samples at a lower cost.

The platform is linked to a low-cost reader and a web app that utilises AI for instant analysis. Lead researcher Dr Sanjiv Sharma said the aim was to make Alzheimer’s testing ‘as accessible as checking blood pressure or blood sugar.’

The World Health Organisation has called for decentralised brain disease diagnostics. Researchers say these technologies bring that vision closer to reality, offering hope for earlier treatment and better care.

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Spotify removes 75 million tracks in AI crackdown

Spotify has confirmed that it removed 75 million tracks in the past year as part of a crackdown on AI-generated spam, deepfakes, and fake artist uploads. The purge, almost half of its total archive, highlights the scale of the problem facing music streaming.

Executives say they are not banning AI outright. Instead, the company is targeting misuse, such as cloned voices of real artists without permission, fake profiles, and mass-uploaded spam designed to siphon royalties.

New measures include a music spam filter, stricter rules on vocal deepfakes, and tools allowing artists to flag impersonation before publication. Spotify is also testing the DDEX disclosure system so creators can indicate whether and how AI was used in their work.

Despite the scale of removals, Spotify insists AI music engagement remains minimal and has not significantly impacted human artists’ revenue. The platform now faces the challenge of balancing innovation with transparency, while protecting both listeners and musicians.

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Smarter Alexa+ powers Amazon’s new gadgets

Amazon has unveiled a refreshed lineup of devices in New York, designed to work with its new AI-powered assistant Alexa+. The showcase featured Echo speakers, Fire TV devices, a Kindle with a colour display and enhanced Ring and Blink cameras, all set to be released later this year.

After years of investment, the company is seeking to reignite interest in Alexa, adding AI to provide more personalisation and a natural conversational style instead of the more mechanical responses of earlier versions.

New silicon chips promise faster processing across Echo devices, while Ring cameras can now use AI to distinguish between a courier and a potential intruder.

Ring’s founder, Jamie Siminoff, who recently returned to Amazon, demonstrated how updated cameras can assist communities by helping to identify missing dogs through neighbourhood alerts. Siminoff described the effort as turning individual concerns into community action.

Ring devices will be priced between 60 and 350 dollars, depending on features, while Blink cameras now offer sharper resolution for indoor and outdoor monitoring.

Amazon’s device chief, Panos Panay, presented the new Kindle Scribe, a $630 tablet with stylus support, and the first Kindle with a colour screen, which offered a paper-like writing feel.

Updated Fire TV sets and a $40 streaming stick also integrate Alexa+, enabling users to search scenes or retrieve information about actors through voice commands instead of traditional menus.

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AI impact on employment still limited

A new study by Yale’s Budget Lab suggests AI has yet to cause major disruption in the US labour market. Researchers found little evidence that generative AI has significantly altered employment patterns since the launch of ChatGPT nearly three years ago.

The report shows that the mix of occupations has shifted slightly faster than in previous periods, but not dramatically. Many of the changes appear to have begun before generative AI became widely available, suggesting broader economic trends are at play.

US based industry-level analysis revealed more noticeable shifts in information and financial services. Yet these changes, too, reflect longer-term developments rather than sudden AI-driven disruption. Overall, employment and unemployment levels show no clear link to AI exposure or adoption.

The researchers stress that impacts may take longer to materialise, as seen with past technologies such as computers and the internet. They call for better data from AI developers and continued monitoring to capture longer-term effects on workers.

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Sora 2.0 release reignites debate on intellectual property in AI video

OpenAI has launched Sora 2.0, the latest version of its video generation model, alongside an iOS app available by invitation in the US and Canada. The tool offers advances in physical realism, audio-video synchronisation, and multi-shot storytelling, with built-in safeguards for security and identity control.

The app allows users to create, remix, or appear in clips generated from text or images. A Pro version, web interface, and developer API are expected soon, extending access to the model.

Sora 2.0 has reignited debate over intellectual property. According to The Wall Street Journal, OpenAI has informed studios and talent agencies that their universes could appear in generated clips unless they opt out.

The company defends its approach as an extension of fan creativity, while stressing that real people’s images and voices require prior consent, validated through a verified cameo system.

By combining new creative tools with identity safeguards, OpenAI aims to position Sora 2.0 as a leading platform in the fast-growing market for AI-generated video.

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Calls for regulation grow as OpenAI and Meta adjust chatbots for teen mental health

OpenAI and Meta are adjusting how their chatbots handle conversations with teenagers showing signs of distress or asking about suicide. OpenAI plans to launch new parental controls this fall, enabling parents to link accounts, restrict features, and receive alerts if their child appears to be in acute distress.

The company says its chatbots will also route sensitive conversations to more capable models, aiming to improve responses to vulnerable users. The announcement follows a lawsuit alleging that ChatGPT encouraged a California teenager to take his own life earlier this year.

Meta, the parent company of Instagram and Facebook, is also tightening its restrictions. Its chatbots will no longer engage teens on self-harm, suicide, eating disorders, or inappropriate topics, instead redirecting them towards expert resources. Meta already offers parental controls across teen accounts.

The moves come amid growing scrutiny of chatbot safety. A RAND Corporation study found inconsistent responses from ChatGPT, Google’s Gemini, and Anthropic’s Claude when asked about suicide, suggesting the tools require further refinement before being relied upon in high-risk situations.

Lead author Ryan McBain welcomed the updates but called them only incremental. Without safety benchmarks and enforceable standards, he argued, companies remain self-regulating in an area where risks to teenagers are uniquely high.

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How AI is transforming healthcare and patient management

AI is moving from theory to practice in healthcare. Hospitals and clinics are adopting AI to improve diagnostics, automate routine tasks, support overworked staff, and cut costs. A recent GoodFirms survey shows strong confidence that AI will become essential to patient care and health management.

Survey findings reveal that nearly all respondents believe AI will transform healthcare. Robotic surgery, predictive analytics, and diagnostic imaging are gaining momentum, while digital consultations and wearable monitors are expanding patient access.

AI-driven tools are also helping reduce human errors, improve decision-making, and support clinicians with real-time insights.

Challenges remain, particularly around data privacy, transparency, and the risk of over-reliance on technology. Concerns about misdiagnosis, lack of human empathy, and job displacement highlight the need for responsible implementation.

Even so, the direction is clear: AI is set to be a defining force in healthcare’s future, enabling more efficient, accurate, and equitable systems worldwide.

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Four new Echo devices debut with Amazon’s next-gen Alexa+

Amazon has unveiled four new Echo devices powered by Alexa+, its next-generation AI assistant. The lineup includes Echo Dot Max, Echo Studio, Echo Show 8, and Echo Show 11, all designed for personalised, ambient AI-driven experiences. Buyers will automatically gain access to Alexa+.

At the core are the new AZ3 and AZ3 Pro chips, which feature AI accelerators, powering advanced models for speech, vision, and ambient interaction. The Echo Dot Max, priced at $99.99, features a two-speaker system with triple the bass, while the Echo Studio, priced at $219.99, adds spatial audio and Dolby Atmos.

The Echo Show 8 and Echo Show 11 introduce HD displays, enhanced audio, and intelligent sensing capabilities. Both feature 13-megapixel cameras that adapt to lighting and personalise interactions. The Echo Show 8 will cost $179.99, while the Echo Show 11 is priced at $219.99.

Beyond hardware, Alexa+ brings deeper conversational skills and more intelligent daily support, spanning home organisation, entertainment, health, wellness, and shopping. Amazon also introduced the Alexa+ Store, a platform for discovering third-party services and integrations.

The Echo Dot Max and Echo Studio will launch on October 29, while the Echo Show 8 and Echo Show 11 arrive on November 12. Amazon positions the new portfolio as a leap toward making ambient AI experiences central to everyday living.

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New AI agent boosts game testing

Researchers from Zhejiang University and NetEase Fuxi AI Lab have developed Titan, an AI-powered agent transforming MMORPG testing. Using large-language-model reasoning, Titan navigates MMORPGs, efficiently completing tasks and identifying issues.

In trials across two commercial games, Titan achieved a 95% task completion rate and uncovered four previously undetected bugs. Outperforming human testers in speed and coverage, the AI agent offers a faster, more thorough approach to quality assurance in game development.

Titan mimics expert testers by perceiving game states, selecting actions, and diagnosing problems. Using simplified text and screenshots, it reasons through objectives, streamlining a traditionally costly and time-consuming process that can consume millions in labour.

Already integrated into QA pipelines, Titan signals a shift toward AI-driven game testing. As studios increasingly adopt AI tools, such agents could redefine efficiency across PC and mobile game development.

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Doctors and nurses outperform AI in patient triage

Human staff are more accurate than AI in assessing patient urgency in emergency departments, according to research presented at the European Emergency Medicine Congress in Barcelona.

The study, led by Dr Renata Jukneviciene of Vilnius University, tested ChatGPT 3.5 against clinicians and nurses using real case studies.

Doctors achieved an overall accuracy of 70.6% and nurses 65.5%, compared with 50.4% for AI. Doctors also outperformed AI in surgical and therapeutic cases, while nurses were more reliable overall.

AI did show strength in recognising the most critical cases, surpassing nurses in both accuracy and specificity. Researchers suggested that AI may help prioritise life-threatening situations and support less experienced staff instead of acting as a replacement.

However, over-triaging by AI could lead to inefficiencies, making human oversight essential.

Future studies will explore newer AI models, ECG interpretation, and integration into nurse training, particularly in mass-casualty scenarios.

Commenting on the findings, Dr Barbra Backus from Amsterdam said AI has value in certain areas, such as interpreting scans, but it cannot yet replace trained staff for triage decisions.

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