Artificial intelligence

Pinterest adds new AI tools to visual search

Pinterest is rolling out new AI-powered upgrades to its visual search feature, aiming to make it easier for users to find exactly what they want.

The enhanced tool will allow people to refine fashion searches by adjusting details like colour, fabric or style, including aesthetics such as ‘Y2K.’

Users can also long-press any Pin in the Home Feed to launch a visual search instantly. A new feature will generate descriptive words to help users better understand what draws them to particular Pins, starting with women’s fashion in the US, UK, and Canada.

Powered by advanced visual language models, the tool works much like Google’s multimodal search but automatically suggests words to refine queries. Pinterest believes these updates will improve the platform’s usefulness for searching when words fall short.

In response to concerns about AI-generated content overwhelming the platform, Pinterest will now label such images and allow users to limit how many they see. With these changes, the company hopes to strengthen its reputation as a helpful, AI-enhanced visual shopping destination.

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AI reshapes UK social care but raises concerns

AI tools such as pain-detecting apps, night-time sensors, and even training robots are increasingly shaping social care in the UK.

Care homes now use the Painchek app to scan residents’ faces for pain indicators, while sensors like AllyCares monitor unusual activity, reducing preventable hospital visits.

Meanwhile, Oxford researchers have created a robot that helps train carers by mimicking patients’ reactions to pain. Families often adjust to the technology after seeing improvements in their loved ones’ care, but transparency and human oversight remain essential.

Despite the promise of these innovations, experts urge caution. Dr Caroline Green from the University of Oxford warns that AI must remain a support, not a replacement, and raises concerns about bias, data privacy, and potential overdependence on technology.

With the UK ageing population and staffing shortages straining social care, technology offers valuable assistance.

Specialists stress that investment in skilled human carers is crucial and the government has endorsed the role of AI in care but has yet to establish clear national policies guiding its ethical use

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Motorola reveals new Razr phones with AI power

Motorola has unveiled its latest Razr flip phones, packed with AI features from a mix of tech giants including Google, Microsoft, Meta and Perplexity. The Ultra, Plus and standard Razr models will debut on 15 May, with tools that suggest actions, summarise notifications and even respond to the user’s gaze.

Perplexity’s AI app will come preinstalled, marking a rare shift towards diversifying AI search tools on Android devices. Unlike rivals Apple and Samsung, Motorola’s strategy integrates multiple AI systems, avoiding reliance on a single provider.

Notably absent is OpenAI’s technology, with Motorola instead selecting partners based on their expertise in research, productivity and user engagement. Meta’s Llama model, Microsoft’s Copilot and Google’s Gemini assistant will all feature in the new phones.

The launch comes as Google faces legal scrutiny over its search engine dominance, raising questions about future control of the AI market. Despite trade tensions and potential tariff impacts, Motorola has kept prices steady, crediting its parent company Lenovo’s adaptable supply chain.

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MoJ explores AI for criminal court transcripts

The UK government is actively examining the use of AI to produce official transcripts of criminal court proceedings, but ministers have stressed that any technology must meet the high standards currently achieved by human professionals.

The Ministry of Justice (MoJ) is considering introducing AI-driven transcription services in the Crown Court to help reduce costs, according to Sarah Sackman, the minister responsible for court reform, AI, and digitisation.

Sackman, responding to a parliamentary question from MP David Davis, emphasised that accuracy remains the top priority. She explained that transcripts must be of an extremely high standard to protect the interests of parties, witnesses, and victims.

At present, transcription is delivered manually by third-party suppliers who are contractually required to achieve 99.5% accuracy.

AI-based solutions would need to meet a similar threshold before being adopted. Sackman added that while the MoJ is actively exploring the technology, reducing costs cannot come at the expense of reliability.

In 2023, the Ministry established a four-year, £20 million framework agreement for court reporting and transcription services.

Eight suppliers, including Appen, Epiq, and Opus 2, are providing services across three categories: remote transcription from recordings, on-site transcription refined into final documents, and real-time transcription for instant use.

Although AI could eventually transform how transcripts are created, any new systems will need to prove they can match the performance and accuracy of human transcribers before replacing existing methods.

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Google expands AdSense into AI amid rising regulatory pressure

Google has begun embedding advertisements within AI chatbot conversations as part of its AdSense network, strengthening its hold on the digital advertising market.

A company spokesperson confirmed that ‘AdSense for Search is available for websites that want to show relevant ads in their conversational AI experiences.’ The move comes as AI startups increasingly adopt advertising models to manage the steep costs of operating generative AI systems.

The introduction of ads into chatbot interactions continues Google’s two-decade-long strategy of extending its ad dominance to new technologies and user interfaces.

From revolutionising online ads with AdWords in 2000 to expanding into mobile and video, Google has consistently adapted its approach to maintain market leadership.

Integrating ads into AI chatbots marks the latest step, as the company responds to shifts in how users engage with digital content. This is especially vital as its core search ad business faces growing competition from AI-first platforms like Perplexity.

Google’s timing is also shaped by mounting regulatory pressure. In April 2025, a federal judge ruled the company had violated antitrust laws in key advertising markets, threatening its control of the digital ad ecosystem.

By establishing its ad presence in emerging AI markets, Google is seeking to secure new revenue streams and embed its standards before regulations catch up. This strategic pivot helps Google maintain relevance even as its traditional business faces legal challenges.

For AI startups, the introduction of advertising is driven by economic necessity. Generative AI systems incur high operational costs, making monetisation through ads increasingly attractive.

Partnering with Google offers immediate access to a global advertiser base and proven monetisation tools. Companies like iAsk and Liner have embraced the model, with Liner’s CEO describing their ads as an early version of Google’s own search ads.

As the AI market rapidly grows, projected to exceed $800 billion by 2030, establishing sustainable revenue models has become a priority.

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AI adoption soars in the UK but skills gap looms

AI adoption in the UK has grown rapidly, rising by 33% over the past year. According to a new report from AWS, 52% of UK businesses are now using AI technologies, up from 39% in the previous year.

Adoption has become so widespread that a business implements new AI tools or strategies every 60 seconds. The benefits are becoming more obvious too, with 92% of AI adopters reporting revenue increases, compared with 64% in 2024.

However, the report highlights a growing divide in AI readiness. While large enterprises and startups share similar adoption rates of 55% and 59% respectively, startups appear better prepared for technological shifts.

Twice as many startups (31%) have developed comprehensive AI strategies compared with larger companies (15%), suggesting agility and forward planning remain crucial.

Despite the progress, serious challenges remain. Skills shortages are slowing businesses down, with nearly 38% citing a lack of expertise as a major barrier, up from 29% last year.

Almost half report delays in hiring qualified talent, with recruitment taking an average of five and a half months. As AI becomes more integrated, it is expected that 47% of new jobs will require AI literacy in the next three years.

In response, AWS has launched a UK initiative to train 100,000 people in AI skills by 2030. The programme includes partnerships with universities such as Exeter and Manchester.

According to the UK Government’s own projections, improved AI adoption could unlock £45 billion per year in public sector savings and productivity. Still, AWS warns that unless skill gaps are addressed, the country risks developing a two-tier AI economy.

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Gemini now allows up to 10 images per prompt on all platforms

Users of the Gemini app will now find it much easier to upload multiple images thanks to a new quality-of-life update.

Until now, only a single image could be added per prompt, with any new upload forcing the previous one to be removed. That restriction has been lifted, with support for up to 10 images now available across Android, iOS, and the web.

On mobile devices, users can select multiple photos directly through the system gallery or Gemini’s built-in Camera.

After capturing an image, the viewfinder remains accessible, allowing for additional photos to be taken and uploaded without leaving the prompt. Those who do not yet see the feature may need to force stop and restart the app for it to become available.

Web users visiting gemini.google.com will also benefit from this improvement, though uploads are limited to 10 images per session. Attempts to exceed this limit will result in a clear notification explaining that only 10 attachments can be uploaded at once.

The change applies to all current Gemini models, including 2.0 Flash, 2.5 Flash, and 2.5 Pro. In announcing the update, Gemini lead Josh Woodward encouraged users to share feedback, especially about common frustrations and other user experience issues.

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China boosts tourism with AI innovations

China’s tourism industry is undergoing rapid transformation as AI technologies become increasingly integrated into both national platforms and regional services. Instead of relying solely on traditional travel planning, tourists can now receive personalised itinerary suggestions in seconds.

Major platforms such as Trip.com use large AI models to assist users before, during and after their journeys—cutting decision-making time from 9 to 6.6 hours, according to Chairman Liang Jianzhang.

Several provinces and cities, including Guizhou and Shanghai, have launched their own AI tourism agents with distinct local features. Guizhou’s Huang Xiao Xi, a digital assistant in ethnic attire, offers tailored travel plans and food ordering options instantly.

Meanwhile, Shanghai’s Hu Xiao You connects tourists with real-time data about venues, traffic, and public amenities, learning from user feedback to improve recommendations over time.

Instead of overwhelming tourists with raw data, these AI agents streamline access to relevant information for a more efficient travel experience.

The rise of wearable AI guides and immersive tech, such as VR, AR, and 3D projections, has also transformed visits to museums and exhibitions. Visitors can now interact with holographic historical figures or animated ancient artworks, blending culture with innovation.

Rather than replacing traditional tourism, China is revitalising it through technology, aiming for improved digitisation, automation and smarter services that meet local development goals.

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OpenAI expands developer tools with Windsurf purchase

OpenAI, the creator of ChatGPT, is reportedly set to acquire Windsurf, an AI-powered coding assistant formerly known as Codeium, for $3 billion, according to Bloomberg. If confirmed, it would be OpenAI’s largest acquisition to date.

The deal is still pending closure, but it follows recent investment talks Windsurf held with major backers such as General Catalyst and Kleiner Perkins, valuing the startup at the same amount.

Windsurf was last valued at $1.25 billion in 2024 after a $150 million funding round. Instead of raising more capital independently, the company now appears poised to join OpenAI, which is looking to bolster its suite of developer tools within ChatGPT.

The acquisition reflects OpenAI’s efforts to remain competitive in the fast-evolving AI coding landscape, following earlier purchases like Rockset and Multi last year.

OpenAI also revealed it would scale back a planned restructuring, abandoning its proposal to become a for-profit entity.

The decision comes amid growing scrutiny and legal challenges, including a high-profile lawsuit from Elon Musk, who accused the firm of drifting from its founding mission to develop AI that serves humanity.

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Nvidia opens new quantum research centre in Boston

Nvidia has unveiled plans to open the Nvidia Accelerated Quantum Research Center (NVAQC) in Boston, a facility set to bridge quantum computing and AI supercomputing.

Expected to begin operations later this year, the centre aims to accelerate the shift from experimental to practical quantum computing.

Rather than treating quantum hardware as a standalone endeavour, Nvidia intends to integrate it with existing AI-driven systems, believing this combination could unlock solutions to problems unsolvable by today’s machines.

Quantum computing—much like AI in its early stages—fits naturally with Nvidia’s core strength: parallel processing. Instead of continuing to rely on traditional serial computing, the company has long embraced parallelism through its GPU technology and CUDA software platform.

Nvidia’s success in transforming GPUs from graphics engines into tools for scientific and commercial applications began with its bold decision to make CUDA available across all its products, even at the cost of short-term profit margins.

Nvidia now sees quantum error correction as the next major challenge. Current quantum computers, operating with between fifty and one hundred qubits, face a high error rate due to environmental ‘noise.’

Achieving truly useful systems will require a million qubits or more, most of which will be used for error correction. Instead of depending solely on traditional methods, Nvidia plans to use AI to develop scalable solutions capable of correcting errors in real time.

The Boston-based NVAQC will serve as a testing ground for these innovations. Harvard, MIT, and quantum startups like Quantinuum and QuEra will collaborate with Nvidia’s quantum team to train AI models for error correction and test them using Nvidia’s top-tier supercomputers.

By doing so, Nvidia hopes to make quantum computing not just viable, but powerful and practical at scale.

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