Artificial intelligence

Digital accessibility drives revenue as AI adoption rises

Research highlights that digital accessibility is now viewed as a driver of business growth rather than a compliance requirement.

A survey of over 1,600 professionals across the US, UK, and Europe found 75% of organisations linking accessibility improvements to revenue gains, while 91% reported enhanced user experience and 88% noted brand reputation benefits.

AI is playing an increasingly central role in accessibility initiatives. More than 80% of organisations now use AI tools to support accessibility, particularly in mature programmes with formal policies, accountability structures, and dedicated budgets.

Leaders in these organisations view AI as a force multiplier, complementing human expertise rather than replacing it. Despite progress, many organisations still implement accessibility late in digital development processes. Only around 28% address accessibility during planning, and 27% during design stages.

Leadership support and effective training emerged as key success factors. Organisations with engaged executives and strong accessibility training were far more likely to achieve revenue and operational benefits while reducing perceived legal risk.

As AI adoption accelerates and regulatory frameworks expand, companies treating accessibility strategically are better positioned to gain competitive advantage.

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NVIDIA brings RDMA acceleration to S3 object storage for AI workloads

AI workloads are driving unprecedented data growth, with enterprises projected to generate almost 400 zettabytes annually by 2028. NVIDIA says traditional storage models cannot match the speed and scale needed for modern training and inference systems.

The company is promoting RDMA for S3-compatible storage, which accelerates object data transfers by bypassing host CPUs and removing bottlenecks associated with TCP networking. The approach promises higher throughput per terabyte and reduced latency across AI factories and cloud deployments.

Key benefits include lower storage costs, workload portability across environments and faster access for training, inference and vector database workloads. NVIDIA says freeing CPU resources also improves overall GPU utilisation and project efficiency.

RDMA client libraries run directly on GPU compute nodes, enabling faster object retrieval during training. While initially optimised for NVIDIA hardware, the architecture is open and can be extended by other vendors and users seeking higher storage performance.

Cloudian, Dell and HPE are integrating the technology into products such as HyperStore, ObjectScale and Alletra Storage MP X10000. NVIDIA is working with partners to standardise the approach, arguing that accelerated object storage is now essential for large-scale AI systems.

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Disney+ subscribers protest AI content plans

Disney faces intense criticism after CEO Bob Iger announced plans to allow AI-generated content on Disney+. The streaming service, known for its iconic hand-drawn animation, now risks alienating artists and fans who value traditional craftsmanship.

Iger said AI would offer Disney+ users more interactive experiences, including the creation and sharing of short-form content. The company plans to expand gaming on Disney+ by continuing its collaborations with Fortnite, as well as featuring characters from Star Wars and The Simpsons.

Artists and animators reacted sharply, warning that AI could lead to job losses and a flood of low-quality material. Social media users called for a boycott, emphasising that generative AI undermines the legacy of Disney’s animation and may drive subscribers away.

The backlash reflects broader industry concerns, as other studios, such as Illumination and DreamWorks, have also rejected the use of generative AI. Creators like Dana Terrace of The Owl House urged fans to support human artistry, backing the push to defend traditional animation from AI-generated content.

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Teenagers still face harmful content despite new protections

In the UK and other countries, teenagers continue to encounter harmful social media content, including posts about bullying, suicide and weapons, despite the Online Safety Act coming into effect in July.

A BBC investigation using test profiles revealed that some platforms continue to expose young users to concerning material, particularly on TikTok and YouTube.

The experiment, conducted with six fictional accounts aged 13 to 15, revealed differences in exposure between boys and girls.

While Instagram showed marked improvement, with no harmful content displayed during the latest test, TikTok users were repeatedly served posts about self-harm and abuse, and one YouTube profile encountered videos featuring weapons and animal harm.

Experts warned that changes will take time and urged parents to monitor their children’s online activity actively. They also recommended open conversations about content, the use of parental controls, and vigilance rather than relying solely on the new regulatory codes.

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AI tools help eBay stage a comeback

eBay is deepening its investment in AI as part of a multi-year effort to revive the platform after years of stagnant growth.

The company, which saw renewed momentum during the pandemic, has launched five new AI features this year, including AI-generated shipping estimates, an AI shopping agent and a partnership with OpenAI.

Chief executive Jamie Iannone argues that eBay’s long history gives it an advantage in the AI era, citing decades of product listings, buyer behaviour data and more than two billion active listings. That data underpins tools such as the ‘magical listing’ feature, which automatically produces item descriptions from photos, and an AI assistant that answers buyer questions based on a listing’s details.

These tools are also aimed at unlocking supply: eBay says the average US household holds thousands of dollars’ worth of unused goods.

Analysts note that helping casual sellers overcome the friction of listing and photographing items could lift the company’s gross merchandise volume, which grew 10 percent in the most recent quarter.

AI is also reshaping the buyer experience. Around 70 percent of eBay transactions come from enthusiasts who already know how to navigate the platform. The new ‘eBay.ai’ tool is designed to help less experienced users by recommending products based on natural-language descriptions.

Despite this push, the platform still faces intense competition from Amazon, Google, Shein and emerging AI-shopping agents. Iannone has hinted that eBay may integrate with external systems such as OpenAI’s instant-checkout tools to broaden discovery beyond the platform.

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How neurotech is turning science fiction into lived reality

Some experts now say neurotechnology could be as revolutionary as AI, as devices advance rapidly from sci-fi tropes into practical reality. Researchers can already translate thoughts into words through brain implants, and spinal implants are helping people with paralysis regain movement.

King’s College London neuroscientist Anne Vanhoestenberghe told AFP, ‘People do not realise how much we’re already living in science fiction.’

Her lab works on implants for both brain and spinal systems, not just restoring function, but reimagining communication.

At the same time, the technology carries profound ethical risks. There is growing unease about privacy, data ownership and the potential misuse of neural data.

Some even warn that our ‘innermost thoughts are under threat.’ Institutions like UNESCO are already moving to establish global neurotech governance frameworks.

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ChatGPT launches group chats in Asia-Pacific pilot

OpenAI has introduced a new group chat feature in its ChatGPT app, currently piloted across Japan, New Zealand, South Korea and Taiwan. The rollout aims to test how users will interact in multi-participant conversations with the AI.

The pilot enables Free, Plus, and Team users on both mobile and web platforms to start or join group chats of up to 20 participants, where ChatGPT can participate as a member.

Human-to-human messages do not count against AI usage quotas; usage only applies when the AI replies. Group creators remain in charge of membership; invite links are used for access, and additional safeguards are applied when participants under the age of 18 are present.

This development marks a significant pivot from one-on-one AI assistants toward collaborative workflows, messaging and shared decision-making.

From a digital policy and governance perspective, this new feature raises questions around privacy, data handling in group settings, the role of AI in multi-user contexts and how usage quotas or model performance might differ across plans.

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Digital twin technology drives new era in predictive medicine

A new AI model capable of generating digital twins of patients is being hailed as a significant step forward for clinical research. Developed at the University of Melbourne, the system reviews health records to predict how a patient’s condition may change during treatment.

DT-GPT, the model in question, was trained on thousands of records covering Alzheimer’s disease, non-small cell lung cancer, and intensive care admissions. Researchers stated that the model accurately predicted shifts in key clinical indicators, utilising medical literature and patient histories.

Predictions were validated without giving DT-GPT access to actual outcomes, strengthening confidence in its performance.

Lead researcher Associate Professor Michael Menden said the tool not only replicated patient profiles but also outperformed fourteen advanced machine-learning systems.

The ability to simulate clinical trial outcomes could lower costs and accelerate drug development, while enabling clinicians to anticipate deterioration and tailor treatment plans more effectively.

Researchers also noted that DT-GPT’s zero-shot ability to predict medical values it had never been trained on. The team has formed a company with the Royal Melbourne Women’s Hospital to apply the technology to patients with endometriosis, demonstrating wider potential in healthcare.

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Most workers see AI risk but not for themselves

A new survey by YouGov and Udemy reveals that while workers across the US, UK, India and Brazil see AI as a significant economic force, many believe their own jobs are unlikely to be affected.

Over 4,500 adults were polled, highlighting a clear gap between concern for the broader economy and personal job security.

In the UK, 70% of respondents expressed concern about AI’s impact on the economy, but only 39% worried about its effects on their own occupation.

Similarly, in the US, 72% feared wider economic effects, while 47% concerned about personal job loss. Experts suggest this reflects a psychological blind spot similar to early reactions to the internet.

The survey also highlighted a perceived AI skills gap, particularly in the UK, where 55% of workers had received no AI training. Many employees acknowledged awareness of AI’s rise but lacked motivation to develop skills immediately, a phenomenon researchers describe as an ‘awareness action gap’.

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Salesforce unveils eVerse for dependable enterprise AI

The US cloud-based software company, Salesforce and its Research AI department, have unveiled eVerse, a new environment designed to train voice and text agents through synthetic data generation, stress testing and reinforcement learning.

In an aim to resolve a growing reliability problem known as jagged intelligence, where systems excel at complex reasoning yet falter during simple interactions.

The company views eVerse as a key requirement for creating an Agentic Enterprise, where human staff and digital agents work together smoothly and dependably.

eVerse supports continuous improvement by generating large volumes of simulated interactions, measuring performance and adjusting behaviour over time, rather than waiting for real-world failures.

A platform that played a significant role in the development of Agentforce Voice, giving AI agents the capacity to cope with unpredictable calls involving noise, varied accents and weak connections.

Thousands of simulated conversations enabled teams to identify problems early and deliver stronger performance.

The technology is also being tested with UCSF Health, where clinical experts are working with Salesforce to refine agents that support billing services. Only a portion of healthcare queries can typically be handled automatically, as much of the knowledge remains undocumented.

eVerse enhances coverage by enabling agents to adapt to complex cases through reinforcement learning, thereby improving performance across both routine and sophisticated tasks.

Salesforce describes eVerse as a milestone in a broader effort to achieve Enterprise General Intelligence. The goal is a form of AI designed for dependable business use, instead of the more creative outputs that dominate consumer systems.

It also argues that trust and consistency will shape the next stage of enterprise adoption and that real-world complexity must be mirrored during development to guarantee reliable deployment.

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