Capacity development

Opera unveils AI-first Neon browser

Opera has unveiled a new AI-powered web browser called Neon, describing it as an ‘agentic browser’ designed to carry out internet tasks on the user’s behalf.

Unlike traditional browsers, Neon offers contextual awareness and cloud-based AI agents that can research, design, and build content automatically.

Although Opera introduced a browser called Neon in 2017 that failed to gain traction, the company is giving the name a second chance, now with a more ambitious AI focus. According to Opera’s Henrik Lexow, the rise of AI marks a fundamental shift in how users interact with the web.

Among its early features, Neon includes an AI engine capable of interpreting user requests and generating games, code, reports, and websites—even when users are offline.

It also includes tools like a chatbot for web searches, contextual page insights, and automation for online tasks such as form-filling and booking services.

The browser is being positioned as a premium subscription product, though Opera has yet to reveal pricing or launch dates. Neon will become the fifth browser in Opera’s line-up, following the mindfulness-focused Air browser announced in February.

Interested users can join the waitlist, but for now, full capabilities remain unverified.

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ABCI-Q goes live as Japan ramps up quantum tech investment

Japan has officially launched the world’s most powerful supercomputer dedicated to quantum computing research. Known as ABCI-Q, the system is housed within the newly opened G-QuAT research centre in Tsukuba, operated by the National Institute of Advanced Industrial Science and Technology (AIST).

G-QuAT (Global Research and Development Centre for Business by Quantum-AI Technology) opened earlier this month with a mission to advance hybrid computing technologies that combine classical computing, such as AI, with quantum systems.

Its work is structured around three main goals: developing use cases for hybrid computing, supporting the quantum technology supply chain, and enabling large-scale qubit integration.

ABCI-Q runs on 2,020 Nvidia H100 GPUs, connected using Nvidia’s Quantum-2 InfiniBand architecture, and integrated with CUDA-Q, Nvidia’s hybrid orchestration platform.

It supports multiple quantum processors, including superconducting qubits from Fujitsu, a neutral atom system by QuEra, and a photonic processor by OptQC—enabling diverse hybrid workloads across different qubit technologies.

The machine’s infrastructure includes 18 cryogenic systems supplied by Bluefors, built to support quantum computers with 1,000+ qubits and thousands of signal paths. G-QuAT has also partnered with IonQ to access its quantum systems via the cloud, bolstering research access and global collaboration.

The launch of ABCI-Q underscores Japan’s ambition to lead in next-generation computing. The government of Japan has committed over ¥330 billion (£1.7 billion) to quantum initiatives between 2020 and 2024.

AIST says the project aims to boost national industrial competitiveness, expand scientific capabilities, and foster a skilled quantum workforce.

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AI Mode reshapes Google’s search results

One year after launching AI-generated search results via AI Overviews, Google has unveiled AI Mode—a new feature it claims will redefine online search.

Functioning as an integrated chatbot, AI Mode allows users to ask complex questions, receive detailed responses, and continue with follow-up queries, eliminating the need to click through traditional links.

Google’s CEO Sundar Pichai described it as a ‘total reimagining of search,’ noting significant changes in user behaviour during early trials.

Analysts suggest the company is attempting to disrupt its own search business before rivals do, following internal concerns sparked by the rise of tools like ChatGPT.

With AI Mode, Google is increasingly shifting from directing users to websites toward delivering instant answers itself. Critics fear it could dramatically reduce web traffic for publishers who depend on Google for visibility and revenue.

While Google insists the open web will continue to grow, many publishers remain unconvinced. The News/Media Alliance condemned the move, calling it theft of content without fair return.

Links were the last mechanism providing meaningful traffic, said CEO Danielle Coffey, who urged the US Department of Justice to take action against what she described as monopolistic behaviour.

Meanwhile, Google is rapidly integrating AI across its ecosystem. Alongside AI Mode, it introduced developments in its Gemini model, with the aim of building a ‘world model’ capable of simulating and planning like the human brain.

Google DeepMind’s Demis Hassabis said the goal is to lay the foundations for an AI-native operating system.

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Mistral AI unveils powerful API for autonomous agents

French AI startup Mistral AI has stepped into the agentic AI arena by launching a new Agents API.

The move puts it in direct competition with leading players like OpenAI, Anthropic, and Google, all of whom are racing to develop autonomous AI agents capable of handling multistep tasks with minimal oversight.

The API provides developers with tools to build intelligent agents powered by Mistral’s language models. These agents can perform advanced tasks such as interpreting Python code, conducting web searches, generating images, and retrieving information from uploaded documents.

Support for orchestrating multiple agents and maintaining stateful conversations enables agents to collaborate and retain context during user interactions.

Among its standout features is compatibility with the Model Context Protocol (MCP), an emerging open standard created by Anthropic that simplifies how agents connect with third-party apps and data sources.

With major tech firms already on board, Mistral’s adoption suggests MCP is quickly becoming the foundation for seamless agent integration.

The company demonstrated several real-world use cases, including a financial analyst, a coding assistant for GitHub, a travel planner, and a personalised nutritionist.

These applications showcase how Mistral’s technology could support business automation and daily tasks alike, potentially reshaping how users interact with software altogether.

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Taiwan rebuffs China’s hacking claims as disinformation

Taiwan has rejected accusations from Beijing that its ruling party orchestrated cyberattacks against Chinese infrastructure. Authorities in Taipei instead accused China of spreading false claims in an effort to manipulate public perception and escalate tensions.

On Tuesday, Chinese officials alleged that a Taiwan-backed hacker group linked to the Democratic Progressive Party (DPP) had targeted a technology firm in Guangzhou.

They claimed more than 1,000 networks, including systems tied to the military, energy, and government sectors, had been compromised across ten provinces in recent years.

Taiwan’s National Security Bureau responded on Wednesday, stating that the Chinese Communist Party is manipulating false information to mislead the international community.

Rather than acknowledging its own cyber activities, Beijing is attempting to shift blame while undermining Taiwan’s credibility, the agency said.

Taipei further accused China of long-running cyberattacks aimed at stealing funds and destabilising critical infrastructure. Officials described such campaigns as part of cognitive warfare designed to widen social divides and erode public trust within Taiwan.

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OpenAI expands in Asia with new Seoul branch

OpenAI is set to open a new office in Seoul, responding to surging demand for its AI tools in South Korea—the country with the second-highest number of paid ChatGPT subscribers after the US.

The move follows the establishment of a South Korean unit and marks OpenAI’s third office in Asia, following Tokyo and Singapore.

Jason Kwon, OpenAI’s chief strategy officer, said Koreans are not only early adopters of ChatGPT but also influential in how the technology is being applied globally. Instead of just expanding user numbers, OpenAI aims to engage local talent and governments to tailor its tools for Korean users and developers.

The expansion builds on existing partnerships with local firms like Kakao, Krafton and SK Telecom. While Kwon did not confirm plans for a South Korean data centre, he is currently touring Asia to strengthen AI collaborations in countries including Japan, India, and Australia.

OpenAI’s global growth strategy includes infrastructure projects like the Stargate data centre in the UAE, and its expanding footprint in Asia-Pacific follows similar moves by Google, Microsoft and Meta.

The initiative has White House backing but faces scrutiny in the US over potential exposure to Chinese rivals.

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Google aims for profit with new AI Search

At its annual developer event, Google I/O, Google unveiled a new feature called AI Mode, built directly into its core product, Google Search.

Rather than being a separate app, AI Mode integrates a chatbot into the search engine, allowing users to ask complex, detailed queries and receive direct answers along with curated web links. Google hopes this move will stop users from drifting to other AI tools instead of its own services.

The launch follows concerns that Google Search was starting to lose ground. Investors took notice when Apple’s Eddy Cue revealed that Safari searches had dropped for the first time in April, as users began to favour AI-powered alternatives.

A decline like this led to a 7% drop in Alphabet’s stock, highlighting just how critical search remains to Google’s dominance. By embedding AI into Search, Google aims to maintain its leadership instead of risking a steady erosion of its user base.

Unlike most AI platforms still searching for profitability, Google’s AI Mode is already positioned to make money. Advertising—long the engine of Google’s revenue—will be introduced into AI Mode, ensuring it generates income just as traditional search does.

While rivals burn through billions running large language models, Google is simply monetising the same way it always has.

AI Mode also helps defend Google’s biggest asset. Rather than seeing AI as a threat, Google embraced it to reinforce Search and protect the advertising revenue it depends on.

Most AI competitors still rely on expensive, unsustainable models, whereas Google is leveraging its existing ecosystem instead of building from scratch. However, this gives it a major edge in the race for AI dominance.

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ACAI and Universal AI University partner to boost AI innovation in Qatar

The Arab Centre for Artificial Intelligence (ACAI) and India’s Universal AI University (UAI) have partnered through a Memorandum of Understanding (MoU) to accelerate the advancement of AI across Qatar and the broader region. That collaboration aims to enhance education, research, and innovation in AI and emerging technologies.

Together, ACAI and UAI plan to establish a specialised AI research centre and develop advanced training programs to cultivate local expertise. They will also launch various online and short-term educational courses designed to address the growing demand for skilled AI professionals in Qatar’s job market, ensuring that the workforce is well-prepared for future technological developments.

Looking forward, the partnership envisions creating a dedicated AI-focused university campus. The initiative aligns with Qatar’s vision to transition into a knowledge-based economy by fostering innovation and offering academic programs in AI, engineering, business administration, environmental sustainability, and other emerging technologies.

The MoU is valid for ten years and includes provisions for dispute resolution, intellectual property rights management, and annual reviews to ensure tangible and sustainable outcomes. Further detailed implementation agreements are expected to formalise the partnership’s operational aspects.

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AI to disrupt jobs, warns DeepMind CEO, as Gen Alpha faces new realities

AI will likely cause significant job disruption in the next five years, according to Demis Hassabis, CEO of Google DeepMind. Speaking on the Hard Fork podcast, Hassabis emphasised that while AI is set to displace specific jobs, it will also create new roles that are potentially more meaningful and engaging.

He urged younger generations to prepare for a rapidly evolving workforce shaped by advanced technologies. Hassabis stressed the importance of early adaptation, particularly for Generation Alpha, who he believes should embrace AI just as millennials did the internet and Gen Z did smartphones.

Hassabis also called on students to become ‘ninjas with AI,’ encouraging them to understand how these tools work and master them for future success. While he highlighted the potential of generative AI, such as Google’s new Veo 3 video generator unveiled at I/O 2025, Hassabis also reminded listeners that a solid foundation in STEM remains vital.

He noted that soft skills like creativity, resilience, and adaptability are equally essential—traits that will help young people thrive in a future defined by constant technological change. As AI becomes more deeply embedded in industries from education to entertainment, Hassabis’ message is clear – the next generation must balance technical knowledge with human ingenuity to stay ahead in tomorrow’s job market.

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Nvidia unveils cheaper AI chip for China

Nvidia is preparing to launch a lower-cost AI chip for China that complies with US export restrictions, with mass production expected to begin as early as June.

The upcoming GPU will be based on the latest Blackwell architecture but will carry reduced specifications compared to the recently restricted H20 model. It is expected to sell for $6,500 to $8,000, significantly cheaper than the $10,000–$12,000 H20, reflecting its simpler design and less advanced components.

Sources say the new chip, likely named either the 6000D or B40, will use GDDR7 memory instead of high-bandwidth memory and will avoid Taiwan Semiconductor Manufacturing Co’s CoWoS packaging technology.

Nvidia had initially planned to downgrade the H20, but tighter US rules made that unviable. Instead of relying on its older Hopper architecture, the company is shifting to Blackwell for future developments in China.

Nvidia has been forced to adapt repeatedly due to tightening US export restrictions aimed at slowing China’s technological progress. Its market share in China has dropped from 95% before 2022 to around 50% today, as competitors like Huawei gain ground with chips like the Ascend 910B.

CEO Jensen Huang noted that continuing restrictions could further drive Chinese firms towards domestic alternatives, cutting Nvidia off from more of the $50 billion data centre market.

Huang also revealed that US curbs have forced Nvidia to write off $5.5 billion in inventory and abandon $15 billion in potential sales. New limits now target GPU memory bandwidth, a key factor for AI performance, capping it at around 1.8 terabytes per second.

The upcoming chip is expected to remain just within this limit, allowing Nvidia to retain a foothold in China instead of exiting the market entirely.

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