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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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IBM pushes towards quantum advantage in two years with breakthrough code

IBM’s Quantum CTO, Oliver Dial, predicts that quantum advantage, where quantum computers outperform classical ones on specific tasks, could be achieved within two years.

The milestone is seen as possible due to advances in error mitigation techniques, which enable quantum computers to provide reliable results despite their inherent noise. While full fault-tolerant quantum systems are still years away, IBM’s focus on error mitigation could bring real-world results soon.

A key part of IBM’s progress is the introduction of the ‘Gross code,’ a quantum error correction method that drastically reduces the number of physical qubits needed per logical qubit, making the engineering of quantum systems much more feasible.

Dial described this development as a game changer, improving both efficiency and practicality, making quantum systems easier to build and test. The Gross code reduces the need for large, cumbersome arrays of qubits, streamlining the path toward more powerful quantum computers.

Looking ahead, IBM’s roadmap outlines ambitious goals, including building a fully error-corrected system with 200 logical qubits by 2029. Dial stressed the importance of flexibility in the roadmap, acknowledging that the path to these goals could shift but would still lead to the achievement of quantum milestones.

The company’s commitment to these advancements reflects the dedication of the quantum team, many of whom have been working on the project for over a decade.

Despite the excitement and the challenges that remain, IBM’s vision for the future of quantum computing is clear: building the world’s first useful quantum computers.

The company’s ongoing work in quantum computing continues to capture imaginations, with significant steps being taken towards making these systems a reality in the near future.

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Google unveils new AI agent toolkit

This week at Google Cloud Next in Las Vegas, Google revealed its latest push into ‘agentic AI’. A software designed to act independently, perform tasks, and communicate with other digital systems.

Central to this effort is the Agent Development Kit (ADK), an open-source toolkit said to let developers build AI agents in under 100 lines of code.

Instead of requiring complex systems, the ADK includes pre-built connectors and a so-called ‘agent garden’ to streamline integration with data platforms like BigQuery and AlloyDB.

Google also introduced a new Agent2Agent (A2A) protocol, aimed at enabling cooperation between agents from different vendors. With over 50 partners, including Accenture, SAP and Salesforce, already involved, the company hopes to establish a shared standard for AI interaction.

Powering these tools is Google’s latest AI chip, Ironwood, a seventh-generation TPU promising tenfold performance gains over earlier models. These chips, designed for use with advanced models like Gemini 2.5, reflect Google’s ambition to dominate AI infrastructure.

Despite the buzz, analysts caution that the hype around AI agents may outpace their actual utility. While vendors like Microsoft, Salesforce and Workday push agentic AI to boost revenue, in some cases even replacing staff, experts argue that current models still fall short of real human-like intelligence.

Instead of widespread adoption, businesses are expected to focus more on managing costs and complexity, especially as economic uncertainty grows. Without strong oversight, these tools risk becoming costly, unpredictable, and difficult to scale.

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Google pushes AI limits with Ironwood

Google has announced Ironwood, its latest and most advanced AI processor, marking the seventh generation of its custom Tensor Processing Unit (TPU) architecture.

Designed specifically for the growing demands of its Gemini models, particularly those requiring complex simulated reasoning, which Google refers to as ‘thinking’, Ironwood represents a significant leap forward in performance.

Instead of relying solely on software updates, Google is highlighting how hardware like Ironwood plays a central role in boosting AI capabilities, ushering in what it calls the ‘age of inference.’

However, this TPU is not just faster but dramatically more scalable. Ironwood chips will operate in tightly connected clusters of up to 9,216 units, each cooled by liquid and linked through an enhanced Inter-Chip Interconnect.

These chips can also be deployed in smaller 256-chip servers, offering flexibility for cloud developers and researchers.

Instead of offering modest improvements, Ironwood delivers a peak throughput of 4,614 teraflops per chip, alongside 192GB of memory and 7.2 terabits per second of bandwidth, making it vastly superior to its predecessor, Trillium.

Google says this advancement is more than a performance boost, it’s a foundation for building AI agents that can act on a user’s behalf by gathering information and producing outputs proactively.

Rather than functioning as passive tools, AI systems powered by Ironwood are intended to behave more independently, reflecting a growing trend toward what Google calls ‘agentic AI.’

While Google’s comparison to supercomputers like El Capitan may be flawed due to differing hardware standards, there’s no doubt Ironwood is a substantial upgrade. The company claims it is twice as powerful per watt as the v5p TPU, even if the newer Trillium (v6) chip wasn’t included in the comparison.

Regardless, Ironwood is expected to power the next generation of AI breakthroughs, as the company prepares to move beyond its current Gemini 2.5 model.

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