ai

Real-time guidance for visually impaired users

Researchers at Penn State have developed a smartphone application, NaviSense, that helps visually impaired users locate objects in real time using AI-powered audio and vibration cues.

The tool relies on vision-language and large-language models to identify objects without preloading 3D models.

Tests showed it reduced search time and increased detection accuracy, with users praising the directional feedback.

The development team continues to optimise the application’s battery use and AI efficiency in preparation for commercial release. Supported by the US National Science Foundation, NaviSense represents a significant step towards practical, user-centred accessibility technology.

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DXB introduces AI-powered system to speed up ground operations

Dubai Airports has entered into a partnership with aviation software company Assaia to deploy an AI-driven turnaround management system across all aircraft stands at DXB. The initiative is part of a broader push to modernise ground operations using real-time data and predictive analytics.

The new system gives the airport and its partners, including airlines like Emirates, flydubai and the ground-handling group dnata, better situational awareness.

By coordinating tasks such as baggage loading, refuelling, catering and passenger boarding, the AI tool aims to reduce delays and improve on-time performance across a network that handles hundreds of flights daily.

According to Dubai Airports, the system will bring greater precision and consistency to turnarounds. Majed Al Joker, Chief Operating Officer at Dubai Airports, said the initiative reflects the airport’s commitment to leveraging advanced technologies to ‘shape the next generation of airport operations’.

For aviation policymakers and infrastructure planners, this move at DXB underscores how AI is becoming central to capacity expansion, not only through the construction of new runways or terminals, but also by optimising the throughput of existing infrastructure.

As airports worldwide face capacity constraints, AI-driven ground operations may emerge as a key lever for efficiency, resilience and sustainability.

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AI supercomputer to study eye behaviour

Researchers at the University of Essex are using one of the UK’s most powerful AI supercomputers to investigate how mental fatigue affects the eye.

The EyeWarn project has been granted 10,000 hours on the government-funded Isambard-AI to analyse eye movements in natural settings.

Led by Dr Javier Andreu-Perez, the study aims to combine human and environmental data to understand how cognition influences eye behaviour. Insights from the project could help predict fatigue levels and improve monitoring of human factors in real-world scenarios.

The initiative involves collaboration with academics across the UK and AI firm Solvemed Group. Essex is also set to become a hub for AI innovation with the upcoming £2 billion data centre in Loughton.

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AI is reshaping neuroscience research

AI is transforming neuroscience research, providing tools to accelerate discoveries and enhance clinical care. At the 2025 Society for Neuroscience meeting, experts highlighted how AI can analyse data, guide experiments, and even enhance scientific manuscripts.

Modified artificial neural networks and deep learning models are helping researchers understand brain function in unprecedented ways.

NeuroInverter, for instance, predicts ion channel compositions in neurons, enabling the creation of ‘digital twins’ that could advance the study of neurological disorders. Brain-inspired models are also proving faster and more efficient in simulating perception and sensory integration.

AI is expanding into practical healthcare applications. Machine learning algorithms can analyse smartphone videos to identify gait impairments with high accuracy, while predictive models detect freezing of gait in Parkinson’s patients before it occurs.

Brain-computer interfaces trained with AI can also decode semantic information from neural activity, thereby supporting communication for individuals with severe disabilities.

Overall, AI is emerging as a powerful collaborator in the field of neuroscience. By bridging fundamental research and clinical practice, it promises faster discoveries, personalised treatments, and new ways to understand the human brain.

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Macquarie crowns ‘AI slop’ as Word of the Year

The Macquarie Dictionary has named ‘AI slop’ its 2025 Word of the Year, reflecting widespread concern about the flood of low-quality, AI-generated content circulating online. The selection committee noted that the term captures a major shift in how people search for and evaluate information, stating that users now need to act as ‘prompt engineers’ to navigate the growing sea of meaningless material.

‘AI slop’ topped a shortlist packed with culturally resonant expressions, including ‘Ozempic face’, ‘blind box’, ‘ate (and left no crumbs)’ and ‘Roman Empire’. Honourable mentions went to emerging technology-related words such as ‘clankers’, referring to AI-powered robots, and ‘medical misogyny’.

The public vote aligned with the experts, also choosing ‘AI slop’ as its top pick.

The rise of the term reflects the explosive growth of AI over the past year, from social media content shared by figures like Donald Trump to deepfake-driven misinformation flagged by the Australian Electoral Commission. Language specialist David Astle compared AI slop to the modern equivalent of spam, noting its adaptability into new hybrid terms.

Asked about the title, ChatGPT said the win suggests people are becoming more critical of AI output, which is a reminder, it added, of the standard it must uphold.

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Google warns Europe risks losing its AI advantage

European business leaders heard an urgent message in Brussels as Google underlined the scale of the continent’s AI opportunity and the risks of falling behind global competitors.

Debbie Weinstein, Google’s President for EMEA, argued that Europe holds immense potential for a new generation of innovative firms. Yet, too few companies can access the advanced technologies that already drive growth elsewhere.

Weinstein noted that only a small share of European businesses use AI, even though the region could unlock over a trillion euros in economic value within a decade.

She suggested that firms are hampered by limited access to cutting-edge models, rather than being supported with the most capable tools. She also warned that abrupt policy shifts and a crowded regulatory landscape make it harder for founders to experiment and expand.

Europe has the skills and talent to build strong AI-driven industries, but it needs more straightforward rules and a long-term approach to training.

Google pointed to its own investments in research centres, cybersecurity hubs and digital infrastructure across the continent, as well as programmes that have trained millions of Europeans in digital and entrepreneurial skills.

Weinstein insisted that a partnership between governments, industry and civil society is essential to prepare workers and businesses for the AI era.

She argued that providing better access to advanced AI, clearer legislation instead of regulatory overlap and sustained investment in skills would allow European firms to compete globally. With those foundations in place, she said Europe could secure its share of the emerging AI economy.

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Europe urged to accelerate AI adoption

European policymakers are being urged to accelerate the adoption of AI, as Christine Lagarde warns that Europe risks missing another major technological shift. Her message highlights that global AI investment is soaring, yet its economic impact remains limited, similar to that of earlier innovation waves.

Lagarde argues that AI could boost productivity faster than past technologies because the infrastructure already exists, and the systems can improve their own performance. Scientific progress powered by AI, such as the rapid prediction of protein structures, signals how R&D can scale far quicker than before.

Europe’s challenge, she notes, is not building frontier models but ensuring rapid deployment across industries. Strong uptake of generative AI by European firms is encouraging, but fragmented regulation, high energy costs and limited risk capital remain significant frictions.

Strategic resilience in chips, data centres and interoperable standards is also essential to avoid deeper dependence on non-European systems.

Greater cooperation in shared data spaces, such as Manufacturing-X and the European Health Data Space, could unlock competitive advantages. Lagarde emphasises that Europe must act swiftly, as delays would hinder adoption and erode industrial competitiveness.

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Claude Opus 4.5 brings smarter AI to apps and developers

Anthropic has launched Claude Opus 4.5, now available on apps, API, and major cloud platforms. Priced at $ 5 per million tokens and $25 per million tokens, the update makes Opus-level AI capabilities accessible to a broader range of users, teams, and enterprises.

Alongside the model, updates to Claude Developer Platform and Claude Code introduce new tools for longer-running agents and enhanced integration with Excel, Chrome, and desktop apps.

Early tests indicate that Opus 4.5 can handle complex reasoning and problem-solving with minimal guidance. It outperforms previous versions on coding, vision, reasoning, and mathematics benchmarks, and even surpasses top human candidates in technical take-home exams.

The model demonstrates creative approaches to multi-step problems while remaining aligned with safety and policy constraints.

Significant improvements have been made to robustness and security. Claude Opus 4.5 resists prompt injection and handles complex tasks with less intervention through effort controls, context compaction, and multi-agent coordination.

Users can manage token usage more efficiently while achieving superior performance.

Claude Code now offers Plan Mode and desktop functionality for multiple simultaneous sessions, and consumer apps support uninterrupted long conversations. Beta access for Excel and Chrome lets enterprise and team users fully utilise Opus 4.5’s workflow improvements.

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White House launches Genesis Mission for AI-driven science

Washington prepares for a significant shift in research as the White House launches the Genesis Mission, a national push to accelerate innovation through advanced AI. The initiative utilises AI to enhance US US technological leadership in a competitive global landscape.

The programme puts the Department of Energy at the centre, tasked with building a unified AI platform linking supercomputers, federal datasets and national laboratories.

The goal is to develop AI models and agents that automate experiments, test hypotheses and accelerate breakthroughs in key scientific fields.

Federal agencies, universities and private firms will conduct coordinated research using shared data spaces, secure computing and standardised partnership frameworks. Priority areas cover biotechnology, semiconductors, quantum science, critical materials and next-generation energy.

Officials argue that the Genesis Mission represents one of the most ambitious attempts to modernise US research infrastructure. Annual reviews will track scientific progress, security, collaborations and AI-driven breakthroughs.

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How to tell if your favourite new artist is AI-generated

A recent BBC report examines how listeners can determine whether AI-generated music AI actually from an artist or a song they love. With AI-generated music rising sharply on streaming platforms, specialists say fans may increasingly struggle to distinguish human artists from synthetic ones.

One early indicator is the absence of a tangible presence in the real world. The Velvet Sundown, a band that went viral last summer, had no live performances, few social media traces and unusually polished images, leading many to suspect they were AI-made.

They later described themselves as a synthetic project guided by humans but built with AI tools, leaving some fans feeling misled.

Experts interviewed by the BBC note that AI music often feels formulaic. Melodies may lack emotional tension or storytelling. Vocals can seem breathless or overly smooth, with slurred consonants or strange harmonies appearing in the background.

Lyrics tend to follow strict grammatical rules, unlike the ambiguous or poetic phrasing found in memorable human writing. Productivity can also be a giveaway: releasing several near-identical albums at once is a pattern seen in AI-generated acts.

Musicians such as Imogen Heap are experimenting with AI in clearer ways. Heap has built an AI voice model, ai.Mogen, who appears as a credited collaborator on her recent work. She argues that transparency is essential and compares metadata for AI usage to ingredients on food labels.

Industry shifts are underway: Deezer now tags some AI-generated tracks, and Spotify plans a metadata system that lets artists declare how AI contributed to a song.

The debate ultimately turns on whether listeners deserve complete transparency. If a track resonates emotionally, the origins may not matter. Many artists who protest against AI training on their music believe that fans deserve to make informed choices as synthetic music becomes more prevalent.

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