Capacity development

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

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.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

New AI app offers early support for parents of neurodivergent children

A new app called Hazel, developed by Bristol-based company Spicy Minds, offers parents a powerful tool to understand better and support their neurodivergent children while waiting for formal diagnoses. Using AI, the app runs a series of tests and then provides personalised strategies tailored to everyday challenges like school routines or holidays.

While it doesn’t replace a medical diagnosis, Hazel aims to fill a critical gap for families stuck in long waiting queues. Spicy Minds CEO Ben Cosh emphasised the need for quicker support, noting that many families wait years before receiving an autism diagnosis through the UK’s NHS.

‘Parents shouldn’t have to wait years to understand their child’s needs and get practical support,’ he said.

In Bristol alone, around 7,000 children are currently on waiting lists for an autism assessment, a number that continues to rise. Parents like Nicola Bennett, who waited five years for her son’s diagnosis, believe the app could be life-changing.

She praised Hazel for offering real-time guidance for managing sensory needs and daily planning—tools she wished she’d had much earlier. She also suggested integrating links to local support groups and services to make the app even more impactful.

By helping reduce stress and giving families a head start on understanding neurodiversity, Hazel represents a meaningful step toward more accessible, tech-driven support for parents navigating a complex and often delayed healthcare system.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot! 

Apple partners with Anthropic on AI coding tool

Apple is reportedly collaborating with Anthropic, a startup backed by Amazon, to develop a new AI-powered coding platform called ‘vibe coding’, according to Bloomberg.

The platform will use Anthropic’s Claude Sonnet model to write, edit, and test code on behalf of programmers, updating Apple’s existing Xcode software instead of launching an entirely separate tool.

‘Vibe coding’ refers to a growing trend in AI development where intelligent agents generate code autonomously instead of relying on manual programming. Apple is said to be testing the system internally for now, with no confirmed decision on whether it will become publicly available.

The move comes as tech firms race to lead in generative AI. While Apple previously introduced a similar tool, Swift Assist, it was never released to developers amid concerns from engineers about possible slowdowns in app creation.

Apple and Anthropic have not commented publicly on the reported collaboration.

With rivals like OpenAI pushing ahead—reportedly negotiating a $3 billion acquisition of coding assistant Windsurf—Apple is equipping its devices with more advanced chips and AI features, including ChatGPT integration, to compete in the rapidly evolving landscape instead of falling behind.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Nvidia moves to comply with US export rules

Nvidia is planning to redesign its AI chips to comply with tightened US export restrictions, aiming to retain its foothold in China instead of pulling back.

According to a report by The Information, the chipmaker has already informed major Chinese clients, such as Alibaba, ByteDance, and Tencent, about its revised strategy. The discussions reportedly occurred during CEO Jensen Huang’s visit to Beijing in mid-April.

The visit came just after Washington expanded its curbs on high-performance AI chip exports to China, specifically targeting Nvidia’s H20 chip.

Originally developed to meet earlier US rules, the H20 has now also been deemed too powerful for export under the new regulations. The US government says the move is aimed at preventing China’s military from accessing cutting-edge AI.

Nvidia previously warned that the latest restrictions could cost it up to $5.5 billion in lost revenue. Instead of backing away, the company is now preparing redesigned chips to stay within legal bounds while continuing to serve Chinese tech firms.

Customers have been told that prototype chips could be ready by June.

In addition, Nvidia is developing a tailored version of its next-generation AI chip, Blackwell, specifically for China. These efforts underline Nvidia’s attempt to balance regulatory compliance with its commercial interests in one of the world’s largest AI markets.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

RackBank launches $118 million AI data centre park in India

RackBank has opened a new AI data centre park in Nava Raipur, Chhattisgarh, with an initial investment of ₹10 billion (around $118 million).

Instead of relying on conventional data infrastructure, the facility focuses on GPU-based computing, AI processing and data analytics, and is expected to generate over 500 jobs, primarily in the IT sector.

Spread across 13.5 acres, the park includes a designated Special Economic Zone and begins operations with a 5 MW capacity. Rather than stopping there, RackBank plans to scale the facility to 150 MW, which could draw an additional ₹20 billion in investment.

The park has been designed to position India as a competitive force in AI infrastructure.

Instead of standard cooling methods, RackBank is deploying its proprietary direct-to-chip and Varuna liquid immersion systems, which aim to cut cooling costs by up to 70% and enhance energy efficiency.

The company envisions the centre as a hub for academic, industrial and governmental collaboration, helping businesses leverage India’s growing GPU capabilities.

Officials see the initiative as a major step toward digital self-reliance. Rather than concentrating such developments in traditional tech hubs, the project puts Chhattisgarh on the national map for data management and AI innovation.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Google admits using opted-out content for AI training

Google has admitted in court that it can use website content to train AI features in its search products, even when publishers have opted out of such training.

Although Google offers a way for sites to block their data from being used by its AI lab, DeepMind, the company confirmed that its broader search division can still use that data for AI-powered tools like AI Overviews.

An initiative like this has raised concern among publishers who seek reduced traffic as Google’s AI summarises answers directly at the top of search results, diverting users from clicking through to original sources.

Eli Collins, a vice-president at Google DeepMind, acknowledged during a Washington antitrust trial that Google’s search team could train AI using data from websites that had explicitly opted out.

The only way for publishers to fully prevent their content from being used in this way is by opting out of being indexed by Google Search altogether—something that would effectively make them invisible on the web.

Google’s approach relies on the robots.txt file, a standard that tells search bots whether they are allowed to crawl a site.

The trial is part of a broader effort by the US Department of Justice to address Google’s dominance in the search market, which a judge previously ruled had been unlawfully maintained.

The DOJ is now asking the court to impose major changes, including forcing Google to sell its Chrome browser and stop paying to be the default search engine on other devices. These changes would also apply to Google’s AI products, which the DOJ argues benefit from its monopoly.

Testimony also revealed internal discussions at Google about how using extensive search data, such as user session logs and search rankings, could significantly enhance its AI models.

Although no model was confirmed to have been built using that data, court documents showed that top executives like DeepMind CEO Demis Hassabis had expressed interest in doing so.

Google’s lawyers have argued that competitors in AI remain strong, with many relying on direct data partnerships instead of web scraping.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

MIT researchers boost quantum computing speed

Researchers at MIT have achieved a significant milestone in quantum computing by demonstrating what they say is the strongest nonlinear light-matter coupling ever recorded.

Using a novel superconducting circuit architecture, the team developed a ‘quarton coupler’ that could dramatically boost the speed of quantum operations, making it possible to run processors about ten times faster than previous systems.

The coupler enables far stronger interactions between photons and artificial atoms—key components of quantum systems—which in turn allows for much faster and more accurate measurements of quantum data.

These improvements are crucial for increasing the number of error-correction rounds that can be completed before qubits lose their coherence, a major limitation in current quantum technology.

Faster readout could therefore pave the way toward fault-tolerant quantum computing, where large-scale real-world applications become possible.

Although the technology is not yet ready for commercial deployment, the research team sees this experiment as an essential foundation.

The architecture could eventually be adapted into more complex quantum processors with built-in readout circuits, allowing scientists to perform quantum computations at greater speed and precision.

The work was supported by the Army Research Office, the AWS Center for Quantum Computing, and MIT’s Center for Quantum Engineering.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Trump administration eyes overhaul of Biden-era AI chip export rules

The Trump administration is reviewing a Biden-era rule that restricts global access to US-made advanced AI chips, with discussions underway to eliminate the current tiered system that governs chip exports, according to sources familiar with the matter.

The existing rule, known as the Framework for Artificial Intelligence Diffusion, was introduced by the US Department of Commerce in January and is set to take effect on 15 May.

It divides the world into three groups: trusted allies (like the EU and Taiwan) with unlimited access, Tier 2 countries with chip quotas, and restricted countries such as China, Russia, Iran and North Korea.

Officials are considering replacing this structure with a global licensing regime based on government-to-government agreements—aligning with Donald Trump’s broader trade strategy of negotiating bilateral deals and using US-made chips as leverage.

Other possible changes include tightening export thresholds: under current rules, orders under the equivalent of 1,700 Nvidia H100 chips only require notification, not a licence. The new proposal could reduce that threshold to around 500 chips.

Supporters of the change argue it would increase US bargaining power and simplify enforcement. Critics, however, warn that scrapping the tier system may complicate compliance and drive countries toward Chinese chip alternatives.

Tech firms such as Oracle and Nvidia, along with several US lawmakers, have criticised the current framework, saying it risks harming American competitiveness and pushing international buyers toward cheaper, unregulated Chinese substitutes.

The Commerce Department declined to comment.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!