Kenya launches national AI skills alliance

In a significant step for Africa’s digital economy, KEPSA partnered with Microsoft to launch the Kenya AI Skilling Alliance (KAISA), a national platform aimed at accelerating inclusive and responsible AI adoption. The announcement, made in Nairobi, brings together government, academia, the private sector and development partners.

The platform responds to fragmentation in Kenya’s AI ecosystem by uniting training, innovation and policy into a coherent framework. With Africa’s AI potential estimated at up to USD 1.5 trillion by 2030, Kenya, already among the continent’s most AI-ready nations, is making deliberate efforts to turn promise into skills, jobs and innovation.

Leaders emphasised inclusivity: equipping youth, women and marginalised communities to participate meaningfully in the AI-driven economy. The Alliance will host sector-based working groups, national skilling programmes and an AI repository and innovation hub over its 24-month roadmap.

This initiative highlights how developing nations are moving beyond simply adopting technology to building capacity, governance and local innovation. It links directly to broader themes of digital diplomacy and capacity building in the African continent, reinforcing how skill ecosystems matter as much as hardware.

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UAE and Google launch ‘AI for All’ national skills initiative

In a major public-private collaboration, the UAE’s Artificial Intelligence, Digital Economy, and Remote Work Applications Office and Google announced the ‘AI for All’ initiative, aimed at delivering AI skills training across the United Arab Emirates.

The announcement was made on 29 October 2025 and will roll out through 2026.

The programme targets a broad audience, from students, teachers, university learners and government employees, to small and medium-sized enterprises (SMEs), creatives and content-makers.

It will cover fundamentals of AI, practical use-cases, responsible and safe AI use, and prompt-engineering for generative models. Google is also providing university students and other participants access to its advanced Gemini models as part of the skilling effort.

This initiative reflects the UAE’s broader ambition to become a global hub for innovation and talent in the AI economy, as well as Google’s regional strategy under its ‘AI Opportunity Initiative’ for the Middle East & North Africa.

By combining training, awareness campaigns and access to AI tools, the collaboration seeks to ensure that AI’s benefits are accessible to all segments of society in the UAE.

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A new capitalism for the intelligent age

In his Time’s article, Klaus Schwab argues that business is undergoing a deeper transformation than previous technological revolutions. He notes that we are entering what he terms the ‘Intelligent Age’, where value is less about physical assets and more about ideas, relationships and the ability to learn faster than change.

According to Schwab, the assumptions of the Industrial Age, that growth meant simply scaling, that efficiency trumped adaptability, and that workers were interchangeable, no longer hold. Instead, enterprises must become living ecosystems, adaptable platforms rather than pipelines.

However, Schwab warns that intelligent technologies such as AI and automation are not inherently benign.

On the one hand, they can amplify human potential; on the other, if misused, they risk diminishing it. Business leaders must therefore undergo not just digital transformation, but a mental transformation, embracing resilience, inclusivity and human dignity as core values.

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Trainium2 power surges as AWS’s Project Rainier enters service for Anthropic

Anthropic and AWS switched on Project Rainier, a vast Trainium2 cluster spanning multiple US sites to accelerate Claude’s evolution.

Project Rainier is now fully operational, less than a year after its announcement. AWS engineered an EC2 UltraCluster of Trainium2 UltraServers to deliver massive training capacity. Anthropic says it offers more than five times the compute used for prior Claude models.

UltraServers bind four Trainium2 servers with high-speed NeuronLinks so 64 chips act as one. Tens of thousands of networks are connected through Elastic Fabric Adapter across buildings. The design reduces latency within racks while preserving flexible scale across data centres.

Anthropic is already training and serving Claude on Rainier across the US and plans to exceed one million Trainium2 chips by year’s end. More computing should raise model accuracy, speed evaluations, and shorten iteration cycles for new frontier releases.

AWS controls the stack from chip to data centre for reliability and efficiency. Teams tune power delivery, cooling, and software orchestration. New sites add water-wise cooling, contributing to the company’s renewable energy and net-zero goals.

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AI-driven cybercrime rises across Asia

Cybersecurity experts met in Dubai for the World Economic Forum’s Annual Global Future Councils and Cybersecurity meetings. More than 500 participants, including 150 top cybersecurity leaders, discussed how emerging technologies such as AI are reshaping digital security.

UAE officials highlighted the importance of resilience, trust and secure infrastructure as fundamental to future prosperity. Sessions examined how geopolitical shifts and technological advances are changing the cyber landscape and stressed the need for coordinated global action.

AI-driven cybercrime is rising sharply in Japan, with criminals exploiting advanced technology to scale attacks and target data. Recent incidents include a cyber attack on Asahi Breweries, which temporarily halted production at its domestic factories.

Authorities are calling for stronger cross-border collaboration and improved cybersecurity measures, while Japan’s new Prime Minister, Sanae Takaichi, pledged to enhance cooperation on AI and cybersecurity with regional partners.

Significant global developments include the signing of the first UN cybercrime treaty by 65 nations in Viet Nam, establishing a framework for international cooperation, rapid-response networks and stronger legal protections.

High-profile cyber incidents in the UK, including attacks on Jaguar Land Rover and a nursery chain, have highlighted the growing economic and social costs of cybercrime. These events are prompting calls for businesses to prioritise cyber resilience.

Experts warn that technology is evolving faster than cyber defences, leaving small businesses and less developed regions highly vulnerable. Integrating AI, automation and proactive security strategies is seen as essential to protect organizations and ensure global digital stability.

Cyber resilience is increasingly recognised not just as an IT issue but as a strategic imperative for economic and national security.

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Automakers and freight partners join NVIDIA and Uber to accelerate level 4 deployments

NVIDIA and Uber partner on level 4-ready fleets using the DRIVE AGX Hyperion 10, aiming to scale a unified human-and-robot driver network from 2027. A joint AI data factory on NVIDIA Cosmos will curate training data, aiming to reach 100,000 vehicles over time.

DRIVE AGX Hyperion 10 is a reference compute and sensor stack for level 4 readiness across cars, vans, and trucks. Automakers can pair validated hardware with compatible autonomy software to speed safer, scalable, AI-defined mobility. Passenger and freight services gain faster paths from prototype to fleet.

Stellantis, Lucid, and Mercedes-Benz are preparing passenger platforms on Hyperion 10. Aurora, Volvo Autonomous Solutions, and Waabi are extending level 4 capability to long-haul trucking. Avride, May Mobility, Momenta, Nuro, Pony.ai, Wayve, and WeRide continue to build on NVIDIA DRIVE.

The production platform pairs dual DRIVE AGX Thor on Blackwell with DriveOS and a qualified multimodal sensor suite. Cameras, radar, lidar, and ultrasonics deliver 360-degree coverage. Modular design plus PCIe, Ethernet, confidential computing, and liquid cooling support upgrades and uptime.

NVIDIA is also launching Halos, a cloud-to-vehicle AI safety and certification system with an ANSI-accredited inspection lab and certification program. A multimodal AV dataset and reasoning VLA models aim to improve urban driving, testing, and validation for deployments.

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Grammarly becomes Superhuman with unified AI tools for work

Superhuman, formerly known as Grammarly, is bundling its writing tools, workspace platform, and email client with a new AI assistant suite. The company says the rebrand reflects a push to unify generative AI features that streamline workplace tasks and online communication for subscribers.

Grammarly acquired Coda and Superhuman Mail earlier this year and added Superhuman Go. The bundle arrives as a single plan. Go’s agents brainstorm, gather information, send emails, and schedule meetings to reduce app switching.

Superhuman Mail organises inboxes and drafts replies in your voice. Coda pulls data from other apps into documents, tables, and dashboards. An upcoming update lets Coda act on that data to automate plans and tasks.

CEO Shishir Mehrotra says the aim is ambient, integrated AI. Built on Grammarly’s infrastructure, the tools work in place without prompting or pasting. The bundle targets teams seeking consistent AI across writing, email, and knowledge work.

Analysts will watch brand overlap with the existing Superhuman email app and enterprise pricing. Success depends on trust, data controls, and measurable time savings versus point tools. Rollout specifics, including regions, will follow.

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US Internet Bill of Rights unveiled as response to global safety laws

A proposed US Internet Bill of Rights aims to protect digital freedoms as governments expand online censorship laws. The framework, developed by privacy advocates, calls for stronger guarantees of free expression, privacy, and access to information in the digital era.

Supporters argue that recent legislation such as the UK’s Online Safety Act, the EU’s Digital Services Act, and US proposals like KOSA and the STOP HATE Act have eroded civil liberties. They claim these measures empower governments and private firms to control online speech under the guise of safety.

The proposed US bill sets out rights including privacy in digital communications, platform transparency, protection against government surveillance, and fair access to the internet. It also calls for judicial oversight of censorship requests, open algorithms, and the protection of anonymous speech.

Advocates say the framework would enshrine digital freedoms through federal law or constitutional amendment, ensuring equal access and privacy worldwide. They argue that safeguarding free and open internet access is vital to preserve democracy and innovation.

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Report reveals major barriers to UK workforce AI skills development

A new government analysis has identified deep-rooted barriers preventing widespread development of AI skills in the UK’s workforce. The research highlights systemic challenges across education, funding, and awareness, threatening the country’s ambition to build an inclusive and competitive AI economy.

UK experts found widespread confusion over what constitutes AI skills, with inconsistent terminology creating mismatches between training, qualifications, and labour market needs. Many learners and employers still conflate digital literacy with AI competence.

The report also revealed fragmented training provision, limited curriculum responsiveness, and fragile funding cycles that hinder long-term learning. Many adults lack even basic digital literacy, while small organisations and community programmes struggle to sustain AI courses beyond pilot stages.

Employers were found to have an incomplete understanding of their own AI skills needs, particularly within SMEs and public sector organisations. Without clearer frameworks, planning tools, and consistent investment, experts warn the UK risks falling behind in responsible AI adoption and workforce readiness.

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Top institutes team up with Google DeepMind to spearhead AI-assisted mathematics

AI for Math Initiative pairs Google DeepMind with five elite institutes to apply advanced AI to open problems and proofs. Partners include Imperial, IAS, IHES, the Simons Institute at UC Berkeley, and TIFR. The goal is to accelerate discovery, tooling, and training.

Google support spans funding and access to Gemini Deep Think, AlphaEvolve for algorithm discovery, and AlphaProof for formal reasoning. Combined systems complement human intuition, scale exploration, and tighten feedback loops between theory and applied AI.

Recent benchmarks show rapid gains. Deep Think enabled Gemini to reach gold-medal IMO performance, perfectly solving five of six problems for 35 points. AlphaGeometry and AlphaProof earlier achieved silver-level competence on Olympiad-style tasks.

AlphaEvolve pushed the frontiers of analysis, geometry, combinatorics, and number theory, improving the best results on 1/5 of 50 open problems. Researchers also uncovered a 4×4 matrix-multiplication method that uses 48 multiplications, surpassing the 1969 record.

Partners will co-develop datasets, standards, and open tools, while studying limits where AI helps or hinders progress. Workstreams include formal verification, conjecture generation, and proof search, emphasising reproducibility, transparency, and responsible collaboration.

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