Artificial intelligence

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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Enterprise AI adoption stalls despite heavy investment

AI has moved from experimentation to expectation, yet many enterprise AI rollouts continue to stall. Boards demand returns, leaders approve tools and governance, but day-to-day workarounds spread, risk grows, and promised value fails to materialise.

The problem rarely lies with the technology itself. Adoption breaks down when AI is treated as an IT deployment rather than an internal product, leaving employees with approved tools but no clear value proposition, limited capacity, and governance that prioritises control over learning.

A global B2B services firm experienced this pattern during an eight-month enterprise AI rollout across commercial teams. Usage dashboards showed activity, but approved platforms failed to align with actual workflows, leading teams to comply superficially or rely on external tools under delivery pressure.

The experience exposed what some leaders describe as the ‘mandate trap’, where adoption is ordered from the top while usability problems fall with middle managers. Hesitation reflected workflow friction and risk rather than resistance, revealing an internal product–market fit issue.

Progress followed when leaders paused broad deployment and refocused on outcomes, workflow redesign, and protected learning time. Narrow pilots and employee-led enterprise AI testing helped scale only tools that reduced friction and earned trust.

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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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X given deadline by Brazil to curb Grok sexualised outputs

Brazil has ordered X to immediately stop its chatbot Grok from generating sexually explicit images, escalating international pressure on the platform over the misuse of generative AI tools.

The order, issued on 11 February by Brazil’s National Data Protection Agency and National Consumer Rights Bureau, requires X to prevent the creation of sexualised content involving children, adolescents, or non-consenting adults. Authorities gave the company five days to comply or face legal action and fines.

Officials in Brazil said X claimed to have removed thousands of posts and suspended hundreds of accounts after a January warning. However, follow-up checks found Grok users were still able to generate sexualised deepfakes. Regulators criticised the platform for a lack of transparency in its response.

The move follows growing scrutiny after Indonesia blocked Grok in January, while the UK and France signalled continued pressure. Concerns increased after Grok’s ‘spicy mode’ enabled users to generate explicit images using simple prompts.

According to the Centre for Countering Digital Hate, Grok generated millions of sexualised images within days. X and its parent company, xAI, announced measures in mid-January to restrict such outputs in certain jurisdictions, but regulators said it remains unclear where those safeguards apply.

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Codex growth prompts OpenAI to expand access

OpenAI said its new Codex Mac app has surpassed one million downloads just over a week after launch, with overall Codex usage rising by 60% following the release of GPT-5.3-Codex.

The strong uptake has prompted OpenAI to extend free access to Codex for Free and Go users beyond the initial launch promotion. Sam Altman said usage limits for lower tiers may be tightened, but access would remain available so more users can experiment and build.

Separately, OpenAI released a YouTube video showcasing a redesigned Deep Research interface, introducing a full-screen report viewer that opens research outputs in a separate window from the chat interface.

The updated layout includes a table of contents for navigation, hyperlinks, and anchor tags within reports, and a dedicated source panel for verification. Users can also download reports as PDF or Word files, while new controls allow research scopes and sources to be adjusted during generation.

The Deep Research updates are available to Plus and Pro users, with broader access expected soon. OpenAI also confirmed the changes in ChatGPT release notes on 10 February and announced a more minor GPT-5.2 update focused on more measured responses.

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Threads users can now personalise algorithms with Dear Algo feature

Meta has launched an AI feature called Dear Algo that allows Threads users to personalise their content-recommendation algorithms by communicating their preferences directly to the platform.

Users craft public posts beginning with ‘Dear Algo’ to explain desired content, similar to interactions with chatbots like OpenAI’s ChatGPT. Once shared, the request adjusts the user’s feed for three days, allowing them to stay connected to current conversations.

Users can also repost others’ Dear Algo requests to apply those content preferences to their own feeds.

The feature represents Meta’s continued integration of AI across its platforms. The company on Tuesday also released AI features for Facebook that let users animate profile photos and alter images with the Meta AI digital assistant.

Meta told investors last month it plans to spend between $115 billion and $135 billion in 2026 on AI-related capital expenditures, nearly double last year’s spending.

Meta is testing Dear Algo with users in the US, UK, Australia, and New Zealand before expanding to additional countries. Threads, Meta’s micro-blogging platform launched in July 2023, has 400 million monthly active users and began rolling out advertisements globally last month.

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AWS chief sees AI shifting from content creation to autonomous task completion

AI is shifting from answering questions to autonomously accomplishing tasks, a transformation AWS CEO Matt Garman believes will unlock far greater enterprise value.

Speaking at AWS re:Invent 2025, Garman explained that AI inference- the computing capability that allows models to generate content, make predictions, and take actions against real-world data-represents a fundamental new building block in computing.

He described it as developers gaining access to a ‘new Lego’ that enables applications to make decisions and complete work independently. The distinction between content generation and task accomplishment carries significant implications for enterprise value.

First-wave generative AI focused on writing emails and summarising documents. Task-accomplishing agents can review insurance claims, cross-reference medical records, and process approved claims without human intervention.

Garman predicts widespread enterprise value creation from agents in 2026. AWS announced Amazon Bedrock AgentCore and three frontier agents at re:Invent 2025, providing organisations with infrastructure to deploy autonomous AI agents at scale.

For business leaders, investments in agents that automate end-to-end workflows will deliver exponentially more return on investment than tools that help employees work faster.

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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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