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AI model achieves accurate detection of placenta accreta spectrum in high-risk pregnancies

A new AI model has shown strong potential for detecting placenta accreta spectrum, a dangerous condition that often goes undiagnosed during pregnancy.

Researchers presented the findings at the annual meeting of the Society for Maternal-Fetal Medicine, highlighting that traditional screening identifies only about half of all cases.

Placenta accreta spectrum arises when the placenta attaches abnormally to the uterine wall, often after previous surgical procedures such as caesarean delivery.

The condition can trigger severe haemorrhage, organ failure, and death, yet many pregnancies with elevated risk receive inconclusive or incorrect assessments through standard ultrasound examinations.

A study that involved a retrospective review by specialists at the Baylor College of Medicine, who analysed 2D obstetric ultrasound images from 113 high-risk pregnancies managed at the Texas Children’s Hospital between 2018 and 2025.

The AI system detected every confirmed case of placenta accreta spectrum, produced two false positives, and generated no false negatives.

Researchers believe such technology could significantly improve early identification and clinical preparation.

They argue that AI screening, when used in addition to current methods, may reduce maternal complications and support safer outcomes for patients facing this increasingly common condition.

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LegalOn launches agentic AI for in-house legal teams

LegalOn Technologies has introduced five agentic AI tools aimed at transforming in-house legal operations. The company says the agents complete specialised contract and workflow tasks in seconds within its secure platform.

Unlike conventional AI assistants that respond to prompts, the new system is designed to plan and execute multi-step workflows independently, tailoring outputs to each organisation’s templates and standards while keeping lawyers informed of every action.

The suite includes tools for generating playbooks, processing legal intake requests and translating contracts across dozens of languages. Additional agents triage high-volume agreements and produce review-ready drafts from clause libraries and deal inputs.

Founded by two corporate lawyers in Japan, LegalOn now operates across Asia, Europe and North America. Backed by $200m in funding, it serves more than 8,000 clients globally, including Fortune 500 companies.

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AI governance struggles to match rapid adoption

Accelerating AI adoption is exposing clear weaknesses in corporate AI governance. Research shows that while most organisations claim to have oversight processes, only a small minority describe them as mature.

Rapid rollouts across marketing, operations and manufacturing have outpaced safeguards designed to manage bias, transparency and accountability, leaving many firms reacting rather than planning ahead.

Privacy rules, data sovereignty questions and vendor data-sharing risks are further complicating deployment decisions. Fragmented data governance and unclear ownership across departments often stall progress.

Experts argue that effective AI governance must operate as an ongoing, cross-functional model embedded into product lifecycles. Defined accountability, routine audits and clear escalation paths are increasingly viewed as essential for building trust and reducing long-term risk.

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AI pushes schools to rethink learning priorities

Students speaking at a major education technology conference said AI has revealed weaknesses in traditional learning. Heavy focus on memorisation is becoming less relevant in a world where digital tools provide instant answers.

AI helps learners summarise information and understand complex subjects more easily. Improved access to such tools has made studying more efficient and, in some cases, more engaging.

Teachers have responded by restricting technology use and returning to handwritten assignments. These measures aim to protect academic integrity but have created mixed reactions among students.

Participants supported guided AI use instead of banning it completely. Communication, collaboration and presentation skills were seen as more valuable and less vulnerable to AI shortcuts.

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Women driving tech innovation as Web Summit marks 10 years

Web Summit’s Women in Tech programme marked a decade of work in Qatar by highlighting steady progress in female participation across global technology sectors.

The Web Summit event recorded an increase in women-founded startups and reflected rising engagement in Qatar, where female founders reached 38 percent.

Leaders from the initiative noted how supportive networks, mentorship, and access to role models are reshaping opportunities for women in technology and entrepreneurship.

Speakers from IBM and other companies focused on the importance of AI skills in shaping the future workforce. They argued that adequate preparation depends on understanding how AI shapes everyday roles, rather than relying solely on technical tools.

IBM’s SkillsBuild platform continues to partner with universities, schools, and nonprofit groups to expand access to recognised AI credentials that can support higher earning potential and new career pathways.

Another feature of the event was its emphasis on inclusion as a driver of innovation. The African Women in Technology initiative, led by Anie Akpe, is working to offer free training in cybersecurity and AI so women in emerging markets can benefit from new digital opportunities.

These efforts aim to support business growth at every level, even for women operating in local markets, who can use technology to reach wider communities.

Female founders also used the platform to showcase new health technology solutions.

ScreenMe, a Qatari company founded by Dr Golnoush Golsharazi, presented its reproductive microbiome testing service, created in response to long-standing gaps in women’s health research and screening.

Organisers expressed confidence that women-led innovation will expand across the region, supported by rising investment and continuing visibility at major global events.

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AI playlist creator comes to Youtube for Premium subscribers

YouTube has introduced a new AI Playlist feature for YouTube Premium and YouTube Music Premium subscribers on Android and iOS, enabling users to generate customised music playlists by describing a mood, genre, activity or vibe in natural language.

From the Library tab, users can tap ‘New,’ select ‘AI playlist’, and enter text or voice prompts, such as ‘sad post-rock’ or ’90s classic hits,’ to instantly build a curated list of tracks.

The rollout builds on YouTube’s earlier AI experiments in music discovery and positions the company alongside other streaming services like Spotify, Amazon Music and Deezer, which have launched similar generative playlist tools.

The feature reflects a broader trend of streaming platforms embedding generative AI to personalise discovery and enhance user engagement for paying subscribers.

Details such as the degree of user control over generated playlists and support for iterative refinement remain limited, and YouTube has not clarified how often playlists can be refreshed or edited after creation.

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Global coalition demands ban on AI-nudification tools over child-safety fears

More than 100 organisations have urged governments to outlaw AI-nudification tools after a surge in non-consensual digital images.

Groups such as Amnesty International, the European Commission, and Interpol argue that the technology now fuels harmful practices that undermine human dignity and child safety. Their concerns intensified after the Grok nudification scandal, where users created sexualised images from ordinary photographs.

Campaigners warn that the tools often target women and children instead of staying within any claimed adult-only environment. Millions of manipulated images have circulated across social platforms, with many linked to blackmail, coercion and child sexual abuse material.

Experts say the trauma caused by these AI images is no less serious because the abuse occurs online.

Organisations within the coalition maintain that tech companies already possess the ability to detect and block such material but have failed to apply essential safeguards.

They want developers and platforms to be held accountable and believe that strict prohibitions are now necessary to prevent further exploitation. Advocates argue that meaningful action is overdue and that protection of users must take precedence over commercial interests.

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Microsoft explores superconductors for AI data centres

Microsoft is studying high-temperature superconductors to transmit electricity to its AI data centres in the US. The company says zero-resistance cables could reduce power losses and eliminate heat generated during transmission.

High-temperature superconductors can carry large currents through compact cables, potentially cutting space requirements for substations and overhead lines. Microsoft argues that denser infrastructure could support expanding AI workloads across the US.

The main obstacle is cooling, as superconducting materials must operate at extremely low temperatures using cryogenic systems. Even high-temperature variants require conditions near minus 200 degrees Celsius.

Rising electricity demand from AI systems has strained grids in the US, prompting political scrutiny and industry pledges to fund infrastructure upgrades. Microsoft says efficiency gains could ease pressure while it develops additional power solutions.

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Custom AI bots support student negotiating skills

In Cambridge, instructors at MIT and the Harvard Negotiation Project are using AI negotiation bots to enhance classroom simulations. The tools are designed to prompt reflection rather than offer fixed answers.

Students taking part in a multiparty exercise called Harborco engage with preparation, back-table and debriefing bots. The system helps them analyse stakeholder interests and test strategies before and after live negotiations.

Back-table bots simulate unseen political or organisational actors who often influence real-world negotiations. Students can safely explore trade-offs and persuasion tactics in a protected digital setting.

According to reported course findings, most participants said the AI bots improved preparation and sharpened their understanding of opposing interests. Instructors in Cambridge stress that AI supports, rather than replaces, human teaching and peer learning.

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AI and human love in the digital age debate

AI is increasingly entering intimate areas of human life, including romance and emotional companionship. AI chatbots are now widely used as digital companions, raising broader questions about emotional authenticity and human-machine relationships.

Millions of people use AI companion apps, and studies suggest that a significant share of them describe their relationship with a chatbot as romantic. While users may experience genuine emotions, experts stress that current AI systems do not feel love but generate responses based on patterns in data.

Researchers explain that large language models can simulate empathy and emotional understanding, yet they lack consciousness and subjective experience. Their outputs are designed to imitate human interaction rather than reflect genuine emotion.

Scientific research describes love as deeply rooted in biology. Hormones such as dopamine and oxytocin, along with specific brain regions, shape attraction, attachment, and emotional bonding. These processes are embodied and chemical, which machines do not possess.

Some scholars argue that future AI systems could replicate certain cognitive aspects of attachment, such as loyalty or repeated engagement. However, most agree that replicating human love would likely require consciousness, which remains poorly understood and technically unresolved.

Debate continues over whether conscious AI is theoretically possible. While some researchers believe advanced architectures or neuromorphic computing could move in that direction, no existing system meets the established criteria for consciousness.

In practice, human-AI romantic relationships remain asymmetrical. Chatbots are designed to engage, agree, and provide comfort, which can create dependency or unrealistic expectations about real-world relationships.

Experts therefore emphasise transparency and AI literacy, stressing that users should understand AI companions simulate emotion and do not possess feelings, intentions, or awareness; while these systems can imitate expressions of love, they do not experience it, and the emotional reality remains human even when the interaction is digital.

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