Capacity development

Nvidia expands AI chip production in the US amid political pressure and global shifts

Nvidia is significantly ramping up its presence in the United States by commissioning over a million square feet of manufacturing space in Arizona and Texas to build and test its powerful AI chips. The tech giant has begun producing its Blackwell chips at TSMC facilities in Phoenix and is developing large-scale ‘supercomputer’ manufacturing plants in partnership with Foxconn in Houston and Wistron in Dallas.

The company projects mass production to begin within the next 12 to 15 months, with ambitions to manufacture up to half a trillion dollars’ worth of AI infrastructure in the US over the next four years. CEO Jensen Huang emphasised that this move marks the first time the core components of global AI infrastructure are being built domestically.

He cited growing global demand, supply chain resilience, and national security as key reasons for the shift. Nvidia’s decision follows an agreement with the Trump administration that helped the company avoid export restrictions on its H20 chip, a top-tier processor still eligible for export to China.

Nvidia joins a broader wave of AI industry leaders aligning with the Trump administration’s ‘America-first’ strategy. Companies like OpenAI and Microsoft have pledged massive investments in US-based AI infrastructure, hoping to secure political goodwill and avoid regulatory hurdles.

Trump has also reportedly pressured key suppliers like TSMC to expand American operations, threatening tariffs as high as 100% if they fail to comply. Despite the enthusiasm, Nvidia’s expansion faces headwinds.

A shortage of skilled workers and potential retaliation from China—particularly over raw material access—pose serious risks. Meanwhile, Trump’s recent moves to undermine the Chips Act, which provides critical funding for domestic chipmaking, have raised concerns about the long-term viability of US semiconductor investment.

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New AI tool helps spot cataracts in babies

A groundbreaking medical device designed to detect cataracts in newborns is being enhanced with the help of AI. The Neocam, a handheld digital imaging tool created by Addenbrooke’s eye surgeon, Dr Louise Allen, allows midwives to take photos of a baby’s eyes to spot congenital cataracts — the leading cause of preventable childhood blindness.

A new AI feature under development will instantly assess whether a photo is clear enough for diagnosis, streamlining the process and reducing the need for retakes. The improvements are being developed by Cambridgeshire-based consultancy 42 Technology (42T), whose software engineers train a machine-learning model using a vast dataset of 46,000 anonymised images.

The AI project is backed by an innovation grant from Addenbrooke’s Charitable Trust (ACT) to make Neocam more accurate and accessible, especially in areas with limited specialist care. Neocam is currently being trialled in maternity units across the UK as part of a large-scale study called DIvO, where over 140,000 babies will have their eyes screened using both traditional methods and the new device.

Although the final results are not expected until 2027, early findings suggest Neocam has already identified rare visual conditions that would have otherwise gone undetected. Dr Allen emphasised the importance of collaboration and public support for the project, saying that the AI-enhanced Neocam could make early detection of eye conditions more reliable worldwide.

Why does it matter?

With growing support from institutions like the National Institute for Health and Care Research and ACT, this innovation could significantly improve childhood eye care across both urban and remote settings.

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ChatGPT gets infinite memory upgrade

OpenAI is introducing a major upgrade to ChatGPT’s memory capabilities, allowing the AI to retain all previous conversations indefinitely. CEO Sam Altman described the development as a step toward making ChatGPT a more personalised assistant that better adapts to users over time.

Previous versions of the AI could only remember chats from the past few weeks, which helped with ongoing projects and stylistic consistency.

The new update goes much further, enabling ChatGPT to recall details from all prior conversations and use them to offer more tailored support, such as giving lifestyle advice or acting as a personal coach.

The feature will initially roll out to ChatGPT Plus and Pro subscribers, with broader availability likely in the future. However, the move has sparked some concerns around privacy, as the AI’s enhanced recall could allow anyone with account access to uncover personal details with a simple prompt.

Users may wish to take precautions, such as setting up custom instructions to limit the disclosure of sensitive information.

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AI transforms global healthcare with major growth ahead

The healthcare sector is poised for significant growth as AI continues to revolutionise the industry. A new report from Avant Technologies predicts an influx of AI-powered solutions in healthcare, with key technology giants leading the charge.

Avant Technologies and Ainnova, in their joint venture, plan to showcase their AI-powered Vision AI platform at the 2025 Mexico Healthcare Innovation Summit.

The platform, aimed at early disease detection, is nearing approval from the US Food and Drug Administration (FDA) and is already in clinical trials in Southeast Asia and South America.

Apple and Amazon are also entering the AI healthcare space, with Apple launching an AI-powered health coach to guide users on diet and exercise, while Amazon is expanding its AI solutions with a healthcare chatbot.

Meanwhile, GE Healthcare has seen success with its AI-driven cardiac imaging, which has garnered FDA approval. The World Health Organization (WHO) supports AI integration in healthcare, particularly for outpatient care and early diagnosis, though it has urged regulators to be cautious of potential risks.

AI in healthcare is expected to grow exponentially, reaching a market valuation of $613 billion by 2034. The sector’s rapid expansion is driven by increasing adoption rates, particularly for early disease detection, administrative efficiency, and personalised medicine.

Despite data privacy concerns, the adoption of AI tools in fields like dermatology, oncology, and cardiovascular health is expected to surge. North America is predicted to lead the market, followed by Europe and South Asia, as more healthcare institutions embrace AI technologies.

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Lenovo unveils compact edge AI server

Lenovo has introduced the ThinkEdge SE100, a compact AI inferencing server aimed at bringing edge AI within reach for businesses of all sizes.

Rather than relying on large data centres for processing, this server is designed to operate on-site in space-constrained environments, allowing data to be processed locally instead of being sent to the cloud.

The SE100 supports hybrid cloud deployments and is part of Lenovo’s new ThinkSystem V4 family. While the V4 systems are built for AI training, the SE100 is intended for inferencing, which is less demanding and doesn’t require power-hungry GPUs.

Lenovo says the unit is 85% smaller than a typical 1U server and draws under 140W, even with GPU configurations.

Engineered to be both energy-efficient and quiet, the SE100 uses Neptune liquid cooling instead of traditional fans, making it suitable for public spaces. Its design also helps extend system health and lifespan by reducing air flow needs and lowering operating temperatures.

Lenovo’s vice president of infrastructure products, Scott Tease, stated the SE100 is a cost-effective solution that simplifies AI deployment at the edge.

Its flexible design adapts to diverse business needs, offering low-latency, high-performance inferencing without the complexity or expense of full-scale AI infrastructure.

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ICT policy reform planned to boost digital economy in Bangladesh

Bangladesh is set to overhaul key ICT and telecom policies by June to eliminate major barriers to digital growth, according to Faiz Ahmad Taiyeb, Special Assistant to the Chief Adviser for Posts, Telecommunications and ICT.

He shared the plan at the Bangladesh Investment Summit 2025, highlighting that modern laws and a supportive business environment will pave the way for stronger digital investments.

Taiyeb noted that for over 15 years, fragmented digital initiatives have led to isolated systems with little integration or interoperability.

However, this lack of coordination has weakened citizen services and digital payments, and the government now aims to fix these issues as a top priority. The goal is to empower the country’s vast youth population through technology.

Several major reforms are currently in progress. The Cyber Security Ordinance, set to be finalised by the end of April, will introduce new transparency measures by requiring the government to disclose information about online content restrictions, giving citizens the right to legally challenge them.

Changes to the telecom licensing framework and network infrastructure are also moving forward.

At the summit’s digital growth panel, international experts called for easier cross-border e-commerce and fewer restrictions on digital transactions.

Bangladesh Bank plans to introduce full interoperability in digital payments by next year, and Grameenphone’s CEO highlighted how mobile connectivity continues to drive economic transformation.

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Rapid AI growth raises global energy demands

The global demand for AI technology is set to consume nearly as much energy by 2030 as Japan does today, with much of that coming from data centres. According to the International Energy Agency (IEA), electricity demand from data centres will more than double by 2030, driven largely by AI.

Some AI data centres will require up to 20 times more energy than the average one, raising concerns about the environmental impact.

While AI’s rapid adoption could increase energy consumption, the IEA believes it also holds the potential for reducing overall greenhouse gas emissions. AI could improve energy efficiency, assist in designing grids for renewable energy, and optimise industrial processes.

However, the report warns that without careful regulation, AI’s growth could strain energy systems and harm the environment, particularly if fossil fuel-powered plants are used to meet energy demand.

Efforts to mitigate the impact of AI include harnessing its capabilities to design energy-efficient systems, optimise transport, and assist in critical infrastructure management. Yet, some experts argue that AI’s energy demands might outpace these benefits unless governments take proactive steps.

Claude Turmes, former Luxembourg energy minister, warned that the IEA’s optimistic outlook overlooks the severe risks to energy systems, urging stronger regulatory measures.

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EU prepares new data strategy for AI growth

The European Commission will soon launch a consultation on its upcoming Data Union Strategy, a key part of efforts to boost Europe’s leadership in AI.

The strategy, set to be published by the end of the year, aims to make it easier for businesses and public bodies to share data securely and efficiently across the EU.

The initiative supports the broader AI Continent Action Plan, expected to be unveiled this week, which seeks to encourage faster adoption of AI technologies by European companies.

Instead of relying on fragmented systems, the Commission wants to improve data access, digital infrastructure, and cloud capabilities while investing in talent and streamlining complex processes.

The plan includes the creation of AI factories where companies can train models using EU-based resources, and a separate Cloud and AI Development Act later this year will promote energy-efficient investments to support these goals.

Public feedback on the Data Union Strategy will be gathered from April to June as part of the consultation process.

Despite the ambition, the Commission acknowledges ongoing concerns such as uncertainty around international data flows and challenges accessing suitable data for generative AI.

Strict privacy laws like the GDPR, instead of enabling wider AI training, have led to frustration from major tech firms over regulatory delays in Europe.

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EU refuses to soften tech laws for Trump trade deal

The European Union has firmly ruled out dismantling its strict digital regulations in a bid to secure a trade deal with Donald Trump. Henna Virkkunen, the EU’s top official for digital policy, said the bloc remained fully committed to its digital rulebook instead of relaxing its standards to satisfy American demands.

While she welcomed a temporary pause in US tariffs, she made clear that the EU’s regulations were designed to ensure fairness and safety for all companies, regardless of origin, and were not intended as a direct attack on US tech giants.

Tensions have mounted in recent weeks, with Trump officials accusing the EU of unfairly targeting American firms through regulatory means. Executives like Mark Zuckerberg have criticised the EU’s approach, calling it a form of censorship, while the US has continued imposing tariffs on European goods.

Virkkunen defended the tougher obligations placed on large firms like Meta, Apple and Alphabet, explaining that greater influence came with greater responsibility.

She also noted that enforcement actions under the Digital Markets Act and Digital Services Act aim to ensure compliance instead of simply imposing large fines.

Although France has pushed for stronger retaliation, the European Commission has held back from launching direct countermeasures against US tech firms, instead preparing a range of options in case talks fail.

Virkkunen avoided speculation on such moves, saying the EU preferred cooperation to conflict. At the same time, she is advancing a broader tech strategy, including plans for five AI gigafactories, while also considering adjustments to the EU’s AI Act to better support small businesses and innovation.

Acknowledging creative industries’ concerns over generative AI, Virkkunen said new measures were needed to ensure fair compensation for copyrighted material used in AI training instead of leaving European creators unprotected.

The Commission is now exploring licensing models that could strike a balance between enabling innovation and safeguarding rights, reflecting the bloc’s intent to lead in tech policy without sacrificing democratic values or artistic contributions.

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New AI feature lets WordPress users build sites in minutes

WordPress.com has introduced a new AI website builder designed to help users create an entire website in just minutes.

Available now in early access, the feature allows anyone with a WordPress.com account to try it out free of charge. It uses a conversational interface that responds to user prompts to generate complete sites, including written content, images, colour schemes, and layouts.

Users begin by describing what kind of website they need—whether a blog, portfolio, or business site—and the AI does the rest.

The more specific the initial description, the more tailored the outcome will be. If the first version isn’t quite right, users can continue refining their site simply by chatting with the builder. Once the result is satisfactory, the website can be published directly through WordPress.com.

Currently limited to basic websites, the new tool does not yet support complex features such as ecommerce or external integrations. WordPress has indicated that more functionality is coming soon.

The generated sites remain fully customisable using the usual WordPress tools, giving users full control over editing and manual adjustments post-creation.

At launch, users get 30 free prompts before needing to choose a hosting plan, with pricing starting at $18 per month.

While similar AI tools have been introduced by platforms like Wix and Squarespace, WordPress’s version brings such technology to a significantly wider audience, given that the platform powers over 40% of all websites worldwide.

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