Capacity development

Scientists achieve breakthrough in quantum computing stability

A new study by researchers from the University of Oxford, Delft University of Technology, Eindhoven University of Technology, and Quantum Machines has made a major step forward in quantum computing.

The team has found a way to make Majorana zero modes (MZMs)—special particles crucial for quantum computers—far more stable, bringing us closer to building error-free, scalable machines.

Quantum computers are incredibly powerful but face a key challenge: their basic units, qubits, are highly fragile and easily disrupted by environmental noise.

MZMs have long been seen as a potential solution because they are predicted to resist such disturbances, but stabilising them for practical use has been difficult until now.

The researchers created a structure called a three-site Kitaev chain, which is a simplified version of a topological superconductor.

By using quantum dots to trap electrons and connecting them with superconducting wires, they created a stable ‘sweet spot’ where MZMs could be farther apart, reducing interference and enhancing their stability.

Lead author Dr. Greg Mazur believes this breakthrough shows that it is possible to keep MZMs stable as quantum systems grow. With further research, the team aims to build longer chains to improve stability even more, potentially opening the door to reliable, next-generation quantum materials and devices.

For more information on these topics, visit diplomacy.edu.

Microsoft rethinks AI data centre strategy amid market shifts

Microsoft has reportedly scaled back or delayed several major data centre projects, just three months after announcing plans to invest $80 billion in AI infrastructure through the current fiscal year.

According to Bloomberg, the company has paused developments in multiple locations, including Australia, Indonesia, the United Kingdom, and US states such as Illinois, North Dakota, and Wisconsin.

Instead of denying the report, Microsoft confirmed adjustments to its plans, citing the need for long-term flexibility. A spokesperson said the company continuously reviews future infrastructure needs to ensure alignment with growing AI demand, adding that the changes reflect Microsoft’s adaptable strategy.

The halted projects include negotiations for high-performance AI chip facilities in the UK and a site near Chicago, along with construction delays in Jakarta and Wisconsin.

These moves come amid growing scrutiny over whether the AI sector is entering a bubble, especially as emerging models challenge the assumption that vast computing power is always necessary for innovation.

Instead of sticking to high-cost development, Microsoft may be responding to a new trend: efficient, lower-cost AI models from Chinese firms that rival those of Western tech giants.

With AI development costs dropping and access expanding, Microsoft’s strategic pause could reflect a shift towards a more sustainable and agile future in AI infrastructure.

For more information on these topics, visit diplomacy.edu.

India among few developing nations with strong AI investment

India and China were the only developing nations to attract notable private investment in AI in 2023, according to the UN’s Technology and Innovation Report 2025. Instead of the US simply leading the field, it dominated with $67 billion in AI investment, accounting for 70 per cent of the global total.

China followed with $7.8 billion, while India ranked tenth worldwide with $1.4 billion. Instead of being evenly distributed, access to AI infrastructure and research remains heavily concentrated in a handful of countries, mainly the US and China.

India’s rise in the AI space stems from policy-driven innovation and education rather than organic growth alone. It climbed to 36th place out of 170 on the UNCTAD Frontier Technologies Readiness Index in 2024, improving from 48th in 2022.

Instead of only focusing on economic size, the index measures readiness through ICT availability, skills, R&D, industrial capacity, and financing. India performed well in R&D and industrial capacity but fell behind in ICT access and skill development.

India has supported its AI ecosystem through collaboration between the government, academia, and the private sector. The country hosts a large developer base, around 13 million, and contributes actively to generative AI projects on platforms like GitHub.

Programmes such as the India AI Mission aim to boost AI education and innovation in smaller cities, instead of keeping progress limited to major urban centres. Institutes like IIT Hyderabad and IIT Kharagpur were named among the country’s key centres of AI excellence.

Still, India faces challenges in expanding its AI capabilities across all sectors. Instead of allowing AI to widen inequalities, the report urges investment in workforce reskilling and inclusion. While AI can boost productivity, it may also displace jobs unless paired with supportive policies.

The technology, if harnessed wisely, could create new industries and strengthen employment rather than replace it.

For more information on these topics, visit diplomacy.edu.

Siemens buys Dotmatics to boost AI drug research

Siemens announced on Wednesday its acquisition of US software firm Dotmatics for $5.1 billion, aiming to enhance its AI capabilities for drug discovery.

The German company described the deal as complementary to its expansion into Life Sciences, positioning itself in a market increasingly reliant on digital transformation to meet growing medical needs.

Siemens expects Dotmatics to generate $100 million annually in the mid-term, rising to $500 million in the long run, and said the acquisition would be immediately profitable. The transaction is set to be completed in the first half of next year.

Founded in 2005, Dotmatics employs 800 people and specialises in AI-driven R&D software designed to accelerate drug research. This move follows Siemens’ recent $10 billion purchase of another AI-powered US software firm, Altair Engineering.

As Siemens’ industrial software faces slowing demand, its digital division has been driving revenue growth instead of its traditional factory automation products. The company, Germany’s second-largest by market value, continues expanding its software portfolio to capitalise on AI-driven innovations.

For more information on these topics, visit diplomacy.edu.

Nokia expands 5G partnership with Airtel

Nokia has signed a multi-year deal with Bharti Airtel to expand their core network collaboration instead of maintaining a limited partnership, aiming to enhance 5G service delivery.

The move will integrate 5G and 4G technologies into a unified server setup instead of running them separately, while also helping Airtel grow its 4G/5G customer base.

Nokia’s Fixed Wireless Access (FWA) will provide additional solutions for home broadband and enterprise-critical applications instead of relying solely on traditional infrastructure.

The rollout will cover network automation across most Airtel service regions in India, helping the telecom giant optimise its hardware footprint and reduce costs per bit by using appliance-based Packet Core gateways.

Airtel CTO Randeep Sekhon highlighted that Nokia’s Packet Core deployment will improve network quality and reliability instead of allowing congestion to impact customers.

Nokia’s president of cloud and network services, Raghav Sahgal, emphasised that this collaboration strengthens Airtel’s 5G standalone (SA) readiness, reinforcing Nokia’s leadership in core network solutions in India and globally.

For more information on these topics, visit diplomacy.edu.

AI-powered brain implant turns thoughts into words in real-time

A brain implant powered by AI has enabled a paralysed woman to speak almost instantly, offering new hope for those who have lost their ability to communicate. Developed by researchers in California, the experimental system translates brain signals into speech in real-time.

Ann, a 47-year-old who lost her voice after a stroke 18 years ago, previously used a brain-computer interface (BCI) with an eight-second delay.

The latest model, published in Nature Neuroscience, reduces that time to just 80 milliseconds, allowing more natural conversations. Scientists trained the system using deep learning and reconstructed Ann’s voice from past recordings.

Although the vocabulary remains limited, the breakthrough marks a major step towards real-world applications. Researchers believe with proper funding, the technology could become widely available within a decade, helping many regain their voice.

For more information on these topics, visit diplomacy.edu.

EU to invest €1.3 billion in AI and digital skills

The European Commission has announced plans to invest €1.3 billion in artificial intelligence, cybersecurity, and digital skills development under the Digital Europe Programme for the period 2025 to 2027.

The funding aims to strengthen Europe’s position in advanced technologies and ensure that citizens and businesses can benefit from secure and cutting-edge digital tools.

Henna Virkkunen, the European Commission’s digital chief, emphasised the importance of the initiative, stating that European tech sovereignty depends on both technological innovation and the ability of people to improve their digital competences.

The investment reflects a strategic commitment to ensuring Europe remains competitive in the global digital landscape.

The Digital Europe Programme has been central to the EU’s digital transformation agenda. Through this latest funding round, the EU seeks to further enhance its technological resilience, support innovation, and prepare the workforce for the demands of a fast-evolving digital economy.

For more information on these topics, visit diplomacy.edu.

Google’s popular search feature gets a rival from Perplexity

AI search company Perplexity is developing a feature similar to Google’s popular Circle to Search, according to CEO Aravind Srinivas. He announced on X that the functionality would be ‘coming soon’ to all Android users, though specific details remain unclear.

A demo video shared by Srinivas showed how users can highlight text in conversations with Perplexity and request further information.

In the demo, a user circled a mention of Roger Federer and asked about his net worth, prompting Perplexity to fetch details from the web. However, since Google has trademarked ‘Circle to Search’, Perplexity may need a different name for its version.

Perplexity has been gaining popularity as an AI-powered search assistant, with some users preferring it over Google’s Gemini. The company recently introduced an AI-driven web browser called Comet, though it remains uncertain whether it will expand beyond smartphones to platforms like Windows and macOS.

For more information on these topics, visit diplomacy.edu.

AI-generated Ghibli-style images overwhelm OpenAI servers

OpenAI has imposed temporary rate limits on image generation using its latest GPT-4o model after an online surge in Studio Ghibli-inspired images strained its servers.

The move follows the company’s decision to restrict free users from generating images with the new model due to overwhelming demand. OpenAI’s CEO, Sam Altman, said the rapid increase in image requests was pushing the company’s server capacity, joking that it could be ‘melting’ GPUs.

The restrictions are aimed at optimising system efficiency, with OpenAI working on fine-tuning performance. While some ChatGPT users may experience denied requests, Altman assured that the limitations should be lifted soon.

Free users will eventually regain the ability to generate up to three images per day, but no timeline has been provided.

Despite the restrictions, the internet remains flooded with AI-generated images in the distinctive art style of Studio Ghibli, known for films like My Neighbor Totoro.

The GPT-4o model has proven highly effective at recreating detailed scenes in various artistic styles, further fuelling the trend. The viral phenomenon has also sparked discussions on copyright, fair use, and AI’s role in digital art.

For more information on these topics, visit diplomacy.edu.

CoreWeave scales back IPO with lower share price

CoreWeave, the Nvidia-backed AI infrastructure company, has reduced the size of its US initial public offering (IPO) and priced its shares below the initial range, raising concerns over investor interest in AI infrastructure.

The company will offer 37.5 million shares, 23.5% fewer than originally planned, with shares priced at $40 each, well below the lower end of the expected price range.

Despite strong backing from Nvidia, which committed to a $250 million order, the IPO has faced a tepid reception due to concerns about CoreWeave’s long-term growth and capital-intensive business model.

Investors have expressed worries over the company’s reliance on Microsoft’s shifting AI strategy, which could affect demand for its GPU chips. Additionally, CoreWeave’s high debt levels and lack of profitability have raised doubts about its financial sustainability.

The reduced IPO comes at a time when the US IPO market is struggling, with fewer equity deals and lower transaction values in 2024 compared to last year.

CoreWeave’s stock market debut, once seen as a test for the AI infrastructure market, now signals waning investor confidence in AI companies, especially those without a proven profit history.

For more information on these topics, visit diplomacy.edu.