Capacity development Archives | Page 148 of 329

ALX and Anthropic partner with Rwanda on AI education

A landmark partnership between ALX, Anthropic, and the Government of Rwanda has launched a major AI learning initiative across Africa.

The program introduces ‘Chidi’, an AI-powered learning companion built on Anthropic’s Claude model. Instead of providing direct answers, the system is designed to guide learners through critical thinking and problem-solving, positioning African talent at the centre of global tech innovation.

An initiative, described as one of the largest AI-enhanced education deployments on the continent, that will see Chidi integrated into Rwanda’s public education system. A pilot phase will involve up to 2,000 educators and select civil servants.

According to the partners, the collaboration aims to ensure Africa’s youth become creators of AI technology instead of remaining merely consumers of it.

A three-way collaboration that unites ALX’s training infrastructure, Anthropic’s AI technology, and Rwanda’s progressive digital policy. The working group, the researchers noted, will document insights to inform Rwanda’s national AI policy.

The initiative sets a new standard for inclusive, AI-powered learning, with Rwanda serving as a launch hub for future deployments across the continent.

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Google launches WeatherNext 2 for faster forecasts

WeatherNext 2, Google’s latest AI forecasting model, offers significantly faster and more precise weather predictions. Developed by DeepMind and Google Research, the model produces forecasts eight times faster with hourly resolution, aiding decisions from supply chains to daily commutes.

The model generates hundreds of weather scenarios from a single starting point, enabling agencies and businesses to plan for all potential outcomes, including extreme events.

Its predictions outperform the previous WeatherNext model on 99.9% of variables, providing more accurate forecasts for temperature, wind, humidity, and other factors.

A Functional Generative Network (FGN) powers WeatherNext 2, allowing it to predict both individual weather elements and complex interconnected systems. The system enables applications such as forecasting regional heatwaves or wind farm output, while keeping predictions physically realistic.

Forecast data is available through Google Earth Engine, BigQuery, and an early access programme on Vertex AI, while WeatherNext 2 now powers Search, Gemini, Pixel Weather, and Google Maps’ Weather API.

Google plans to expand access further, supporting researchers, developers, and businesses to make informed decisions and accelerate scientific discovery.

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Singapore’s HTX boosts Home Team AI capabilities with Mistral partnership

HTX has signed a new memorandum of understanding with France’s Mistral AI to accelerate joint research on large language and multimodal models for public safety. The partnership will expand into embodied AI, video analytics, cybersecurity, and automated fire safety systems.

The deal builds on earlier work co-developing Phoenix, HTX’s internal LLM series, and a Home Team safety benchmark for evaluating model behaviour. The organisations will now collaborate on specialised models for robots, surveillance platforms, and cyber defence tools.

Planned capabilities include natural-language control of robotic systems, autonomous navigation in unfamiliar environments, and object retrieval. Video AI tools will support predictive tracking and proactive crime alerts across multiple feeds.

Cybersecurity applications include automated architecture reviews and on-demand vulnerability testing. Fire safety tools will use multimodal comprehension to analyse architectural plans and flag compliance issues without manual checks.

The partnership forms part of the HTxAI movement, which aims to strengthen Home Team AI capacity through research collaborations with industry and academia. Mistral’s flagship models, Mistral Medium 3.1 and Magistral, are currently among the top performers in multilingual and multimodal benchmarks.

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Berlin summit links digital strategy to wider European security

German Chancellor Friedrich Merz and French President Emmanuel Macron will host a Berlin summit to reduce Europe’s reliance on US tech platforms and to shape a more independent EU digital strategy. The meeting coincides with planned revisions to EU AI and data rules.

The push for digital independence reflects growing concern that Europe risks falling behind the US in strategic technologies. Leaders argue that regulatory changes must support competitiveness while maintaining core privacy and safety principles.

Germany is also hosting a two-day European security conference in Berlin, featuring German Defence Minister Boris Pistorius. The parallel agendas highlight how digital strategy and geopolitical security are increasingly linked in EU policy debates.

The German foreign minister, Johann Wadephul, has meanwhile backed the EU enlargement in the Western Balkans during a visit to Montenegro, signalling continued geopolitical outreach alongside internal reforms.

The Berlin discussions are expected to shape Europe’s stance ahead of upcoming AI and data proposals, setting the tone for broader talks on industrial policy, technology sovereignty, and regional security.

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UK uses AI to fight drug-resistant infections

The UK is harnessing AI to combat the growing threat of drug-resistant infections, a crisis often called ‘the silent pandemic’. The Fleming Initiative and GSK will invest £45m in AI research to speed up new antibiotics and combat deadly bacteria and fungi.

The project targets Gram-negative bacteria, such as E. coli and Klebsiella, which resist treatment due to their protective outer layers. Researchers will test different molecules and use AI to identify which can penetrate and persist in these bacteria.

The goal is to shorten years of laboratory work into rapid computational predictions that guide the design of effective antibiotics.

AI will predict how resistant infections emerge and spread, helping scientists anticipate threats early. The initiative will also target deadly fungal infections, such as Aspergillus, which threaten people with weakened immune systems.

Experts hope the approach can outpace bacterial evolution and reduce the human toll from untreatable infections. Fleming Initiative director Alison Holmes emphasised the vital role of antibiotics in modern medicine and warned that overuse has squandered this critical resource.

Tony Wood, GSK’s chief scientific officer, said the project will open new avenues for discovering antibiotics while anticipating resistance, transforming the treatment and prevention of serious infections worldwide.

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Bitcoin edges into yearly losses as volatility rises

Bitcoin has slipped into negative territory for the year after a sharp retreat that pushed the price below $90,000 for the first time in seven months. The cryptocurrency has now fallen more than 28% from its peak above $126,000, erasing over $600 billion in market value.

Investors have been rotating out of speculative assets, with concerns around potential Federal Reserve decisions adding to the risk-off sentiment.

Market analysts note that long-term holders have been taking profits following the extraordinary rally that carried Bitcoin to new records in October. Uncertainty around monetary policy, tightening liquidity, and broader macroeconomic pressures have fuelled the downturn.

The impact of the October flash crash, triggered by renewed US-China trade tensions, continues to weigh heavily as thinner order books leave Bitcoin more vulnerable to abrupt price swings.

Bitcoin had rallied strongly throughout the year, supported by optimism over pro-crypto policies under President Donald Trump and the rollout of new digital-asset regulations. Yet the cryptocurrency has now surrendered its gains, underperforming major benchmarks such as the S&P 500 and gold.

Analysts say the market is approaching a pivotal moment, with some fearing a deeper reset while others view the current consolidation as an opportunity for strategic accumulation.

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OpenAI accelerates enterprise AI growth after Gartner names it an emerging leader

The US tech firm, OpenAI, gained fresh momentum after being named an Emerging Leader in Generative AI by Gartner. The assessment highlights strong industry confidence in OpenAI’s ability to support companies that want reliable and scalable AI systems.

Enterprise clients have increasingly adopted the company’s tools after significant investment in privacy controls, data governance frameworks and evaluation methods that help organisations deploy AI safely.

More than one million companies now use OpenAI’s technology, driven by workers who request ChatGPT as part of their daily tasks.

Over eight hundred million weekly users arrive already familiar with the tool, which shortens pilot phases and improves returns, rather than slowing transformation with lengthy onboarding. ChatGPT Enterprise has experienced sharp expansion, recording ninefold growth in seats over the past year.

OpenAI views generative AI as a new layer of enterprise infrastructure rather than a peripheral experiment. The next generation of systems is expected to be more collaborative and closely integrated with corporate operations, supporting new ways of working across multiple sectors.

The company aims to help organisations convert AI strategies into measurable results, rather than abstract ambitions.

Executives described the recognition as encouraging, although they stressed that broader progress still lies ahead. OpenAI plans to continue strengthening its enterprise platform, enabling businesses to integrate AI responsibly and at scale.

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EU aviation regulator opens debate on AI oversight and safety

EASA has issued its first regulatory proposal on AI in aviation, opening a three-month consultation for industry feedback. The draft focuses on trustworthy, data-driven AI systems and anticipates applications ranging from basic assistance to human–AI teaming.

The move comes amid wider criticism of EU AI rules from major tech firms and political leaders. Aviation stakeholders are now assessing whether compliance costs and operational demands could slow development or disrupt competitive positioning across the sector.

Experts warn that adapting to the framework may require significant investment, particularly for companies with limited resources. Others may accelerate AI adoption to preserve market advantage, especially where safety gains or efficiency improvements justify rapid deployment.

EASA stresses that consultation is essential to balance strict assurance requirements with the flexibility needed for innovation. Privacy and personal data issues remain contentious, shaping expectations for acceptable AI use in safety-critical environments.

Meanwhile, Airbus is pushing to reach 75 A320-family deliveries per month by 2027, driven by the A321neo’s strong order book. In parallel, Mitsui OSK Lines continues to lead the global LNG carrier market, reflecting broader momentum across adjacent transport sectors.

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New Quantum Echoes system reveals molecular structures at scale

Google says its new Quantum Echoes algorithm runs 13,000 times faster than leading supercomputers, marking what it calls the first verifiable quantum result across different hardware. The breakthrough brings real-world use cases in medicine and materials science closer to feasibility.

Quantum Echoes is built to overcome a core limitation in today’s models: constrained memory that prevents long reasoning chains. The method uses structured world models to maintain a single research goal while processing tens of millions of tokens across multiple agent runs.

Powered by the Willow quantum chip, the system reads thousands of scientific papers and executes tens of thousands of lines of analysis code in a single run. Early estimates suggest one execution could match six months of human scientific labour.

Recent studies have shown that the algorithm reproduces known molecular findings and generates new insights using a technique likened to a quantum molecular ruler. Results matched those of nuclear magnetic resonance techniques, indicating that quantum tools could reveal previously inaccessible structural detail.

Experts still caution that practical quantum computing remains years away. Google faces competition from IBM, Microsoft, and Chinese labs, yet the company argues that Quantum Echoes proves its hardware and algorithms are converging toward usable scientific applications.

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SAP unveils new models and tools shaping enterprise AI

The German multinational software company, SAP, used its TechEd event in Berlin to reveal a significant expansion of its Business AI portfolio, signalling a decisive shift toward an AI-native future across its suite.

The company expects to deliver 400 AI use cases by the end of 2025, building on more than 300 already in place.

It also argues that its early use cases already generate substantial returns, offering meaningful value for firms seeking operational gains instead of incremental upgrades.

A firm that places AI-native architecture at the centre of its strategy. SAP HANA Cloud now supports richer model grounding through multi-model engines, long-term agentic memory, and automated knowledge graph creation.

SAP aims to integrate these tools with SAP Business Data Cloud and Snowflake through zero-copy data sharing next year.

The introduction of SAP-RPT-1, a new relational foundation model designed for structured enterprise data rather than general language tasks, is presented as a significant step toward improving prediction accuracy across finance, supply chains, and customer analytics.

SAP also seeks to empower developers through a mix of low-code and pro-code tools, allowing companies to design and orchestrate their own Joule Agents.

Agent governance is strengthened through the LeanIX agent hub. At the same time, new interoperability efforts based on the agent-to-agent protocol are expected to enable SAP systems to work more smoothly with models and agents from major partners, including AWS, Google, Microsoft, and ServiceNow.

Improvements in ABAP development, including the introduction of SAP-ABAP-1 and a new Visual Studio Code extension, aim to support developers who prefer modern, AI-enabled workflows over older, siloed environments.

Physical AI also takes a prominent role. SAP demonstrated how Joule Agents already operate inside autonomous robots for tasks linked to logistics, field services, and asset performance.

Plans extend from embodied AI to quantum-ready business algorithms designed to enhance complex decision-making without forcing companies to re-platform.

SAP frames the overall strategy as a means to support Europe’s digital sovereignty, which is strengthened through expanded infrastructure in Germany and cooperation with Deutsche Telekom under the Industrial AI Cloud project.

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