Sustainable development

Salesforce invests $15 billion in San Francisco’s AI future

The US cloud-based software company, Salesforce, has announced a $15 billion investment in San Francisco over the next five years, strengthening the city’s position as the world’s AI capital.

The funding will support a new AI Incubator Hub on the company’s campus, workforce training programmes, and initiatives to help businesses transform into ‘Agentic Enterprises’.

A move that coincides with the company’s annual Dreamforce conference, expected to generate $130 million in local revenue and create 35,000 jobs.

Chief Executive Marc Benioff said the investment demonstrates Salesforce’s deep commitment to San Francisco, aiming to boost AI innovation and job creation.

Dreamforce, now in its 23rd year, is the world’s largest AI event, attracting nearly 50,000 participants and millions more online. Benioff described the company’s goal as leading a new technological era where humans and AI collaborate to drive progress and productivity.

Founded in 1999 as an online CRM service, Salesforce has evolved into a global leader in enterprise AI and cloud computing. It is now San Francisco’s largest private employer and continues to expand through acquisitions of local AI firms such as Bluebirds, Waii, and Regrello.

The company’s new AI Incubator Hub will support early-stage startups, while its Trailhead learning platform has already trained more than five million people for the AI-driven workplace.

Salesforce remains one of the city’s most active corporate philanthropists. Its 1-1-1 model has inspired thousands of companies worldwide to dedicate a share of equity, product, and employee time to social causes.

With an additional $39 million pledged to education and healthcare, Salesforce and the Benioffs have now donated over $1 billion to the Bay Area.

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India’s AI infrastructure gets a $15bn lift from Google

Google has announced a $15 billion commitment for 2026–2030 to build its first Indian AI hub in Visakhapatnam, positioning itself as a foundational partner in India’s AI-first push and strengthening US–India tech ties.

The hub will centre on a purpose-built, gigawatt-scale data-centre campus engineered to Google’s global standards for performance, reliability, and low latency. Partners AdaniConnex and Airtel will help deliver enterprise-grade capacity, enabling large companies and startups to build and scale AI-powered services.

Beyond compute, Google will anchor an international subsea gateway in Visakhapatnam, landing multiple cables to complement those in Mumbai and Chennai, adding route diversity, lowering latency across India’s east coast, and strengthening national connectivity for users, developers, and enterprises.

Clean growth is a core pillar of the plan, with work on transmission lines, new clean-energy generation, and storage in Andhra Pradesh. Google will apply its energy-efficient data centre design to expand India’s diverse clean power portfolio while supporting grid reliability and long-term sustainability goals.

The initiative aligns with the Viksit Bharat 2047 vision, targeting high-value jobs in India and spillover benefits to US research and development. By combining compute, connectivity, and clean energy at scale, Google aims to accelerate AI adoption across sectors and broaden digital inclusion nationwide.

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EU nations back Danish plan to strengthen child protection online

EU countries have agreed to step up efforts to improve child protection online by supporting Denmark’s Jutland Declaration. The initiative, signed by 25 member states, focuses on strengthening existing EU rules that safeguard minors from harmful and illegal online content.

However, Denmark’s proposal to ban social media for children under 15 did not gain full backing, with several governments preferring other approaches.

The declaration highlights growing concern about young people’s exposure to inappropriate material and the addictive nature of online platforms.

It stresses the need for more reliable age verification tools and refers to the upcoming Digital Fairness Act as an opportunity to introduce such safeguards. Ministers argued that the same protections applied offline should exist online, where risks for minors remain significant.

Danish officials believe stronger measures are essential to address declining well-being among young users. Some EU countries, including Germany, Spain and Greece, expressed support for tighter protections but rejected outright bans, calling instead for balanced regulation.

Meanwhile, the European Commission has asked major platforms such as Snapchat, YouTube, Apple and Google to provide details about their age verification systems under the Digital Services Act.

These efforts form part of a broader EU drive to ensure a safer digital environment for children, as investigations into online platforms continue across Europe.

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Microsoft strengthens UAE AI infrastructure

Microsoft has announced a strategic investment to enable in-country data processing for Microsoft 365 Copilot in the UAE. The service will be available to qualified UAE organisations in early 2026, hosted in Microsoft’s Dubai and Abu Dhabi cloud centres for secure, local AI processing.

The move aligns with the UAE’s ambition to become a global AI hub, supported by initiatives such as the National Artificial Intelligence Strategy 2031 and the Dubai Universal Blueprint for AI.

Government leaders emphasise that in-country AI infrastructure strengthens trust, cyber resilience, and innovation across ministries and public entities.

Collaboration with the UAE Cybersecurity Council (CSC) and the Dubai Electronic Security Center (DESC) ensures Microsoft 365 Copilot complies with national AI policies and data governance standards.

Local processing cuts latency, protects data, and supports regulated environments, allowing government stakeholders to adopt AI securely.

Microsoft and its strategic partner G42 International highlight the initiative’s broader impact on the UAE’s digital economy. The project could create 152,000 jobs and train one million UAE learners in AI by 2027, supporting a secure and innovative digital future.

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OpenAI and Broadcom unite to deploy 10 gigawatts of AI accelerators

The US firm, OpenAI, has announced a multi-year collaboration with Broadcom to design and deploy 10 gigawatts of custom AI accelerators.

The partnership will combine OpenAI’s chip design expertise with Broadcom’s networking and Ethernet technologies to create large-scale AI infrastructure. The deployment is expected to begin in the second half of 2026 and be completed by the end of 2029.

A collaboration that enables OpenAI to integrate insights gained from its frontier models directly into the hardware, enhancing efficiency and performance.

Broadcom will develop racks of AI accelerators and networking systems across OpenAI’s data centres and those of its partners. The initiative is expected to meet growing global demand for advanced AI computation.

Executives from both companies described the partnership as a significant step toward the next generation of AI infrastructure. OpenAI CEO Sam Altman said it would help deliver the computing capacity needed to realise the benefits of AI for people and businesses worldwide.

Broadcom CEO Hock Tan called the collaboration a milestone in the industry’s pursuit of more capable and scalable AI systems.

The agreement strengthens Broadcom’s position in AI networking and underlines OpenAI’s move toward greater control of its technological ecosystem. By developing its own accelerators, OpenAI aims to boost innovation while advancing its mission to ensure artificial general intelligence benefits humanity.

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Vodafone and Samsung expand Open RAN deployment across Europe

Samsung Electronics has been chosen by Vodafone as a primary partner to deploy virtualised RAN and Open RAN networks in Germany and several European countries. The agreement builds on previous collaborations and represents one of the largest Open RAN projects in Europe.

Germany will serve as the first and main market, with thousands of sites planned, including a full deployment in Wismar by early 2026. The rollout will expand across Europe over five years, beginning with a live site already operating in Hannover.

Samsung will provide its virtualised RAN solutions supporting 2G, 4G and 5G, as well as O-RAN compliant radios, Massive MIMO equipment and AI-powered management tools. The company will also integrate its CognitiV Network Operations Suite to improve performance, efficiency and automation.

Partners such as Dell Technologies, Intel and Wind River will contribute hardware and cloud platforms to ensure interoperability and large-scale integration.

Vodafone’s Chief Network Officer Alberto Ripepi said Open RAN is essential for building flexible, future-ready networks and expanding connectivity across Europe.

Samsung’s Networks Business President Woojune Kim highlighted the project as a major step in developing software-based and autonomous networks designed for the AI era. Both companies view the partnership as a means to advance digital transformation and enhance network efficiency.

The collaboration also promotes energy efficiency and shared infrastructure. Samsung’s AI Energy Saving Manager will monitor traffic to reduce power consumption during low-use periods. The company’s radio systems will support RAN sharing, helping operators cut costs and deliver consistent coverage.

Analysts consider Vodafone’s decision a validation of Samsung’s leadership in open and virtualised network technology.

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Nvidia DGX Spark launches as the world’s smallest AI supercomputer

Nvidia has launched the DGX Spark, described as the world’s smallest AI supercomputer.

Designed for developers and smaller enterprises, the Spark offers data centre-level performance without the need for costly AI server infrastructure or cloud rentals. It features Nvidia’s GB10 Grace Blackwell superchip, ConnectX-7 networking, and the company’s complete AI software stack.

The system, co-developed with ASUS and Dell, can support up to 128GB of memory, enabling users to train and run substantial AI models locally.

Nvidia CEO Jensen Huang compared Spark’s mission to the 2016 DGX-1, which he delivered to Elon Musk’s OpenAI, marking the start of the AI revolution. The new Spark, he said, aims to place supercomputing power directly in the hands of every developer.

Running on Nvidia’s Linux-based DGX OS, the Spark is built for AI model creation rather than general computing or gaming. Two units can be connected to handle models with up to 405 billion parameters.

The device complements Nvidia’s DGX Station, powered by the more advanced GB300 Grace Blackwell Ultra chip.

Nvidia continues to dominate the AI chip industry through its powerful hardware and CUDA platform, securing multi-billion-dollar deals with companies such as OpenAI, Google, Meta, Microsoft, and Amazon. The DGX Spark reinforces its position by expanding access to AI computing at the desktop level.

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Smartphone AI estimates avocado ripeness with high accuracy

Researchers at Oregon State University and Florida State University have unveiled a smartphone-based AI system that accurately predicts the ripeness and internal quality of avocados.

They trained models using more than 1,400 iPhone images of Hass avocados, achieving around 92% accuracy for firmness (a proxy for ripeness) and over 84% accuracy in distinguishing fresh from rotten fruit.

Avocado waste is a major issue because they spoil quickly, and many are discarded before reaching consumers. The AI tool is intended to guide both shoppers and businesses on when fruit is best consumed or sold.

Beyond consumer use, the system could be deployed in processing and retail facilities to sort avocados more precisely. For example, more ripe batches might be sent to nearby stores instead of longer transit routes.

The researchers used deep learning (rather than older, manual feature extraction) to capture shape, texture and spatial cues better. As the model dataset grows, its performance is expected to improve further.

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Spider-style robot ‘Charlotte’ can 3D print a house in 24 hours

Australian robotics firm Crest Robotics, in collaboration with Earthbuilt Technology, has developed a semi-autonomous robot named Charlotte that blends robotic motion and 3D printing to build structures directly from raw materials.

Unveiled at the 76th International Astronautical Congress in Sydney, Charlotte is still in prototype stage but already shows potential. The developers aim for it to print a 200 m² house in about 24 hours. The project has backing from the New South Wales Government’s Space+ programme.

Charlotte’s design is inspired by spider movement. It drives over different parts of a construction site and prints structural layers as it moves, eliminating the need for fixed scaffolding or separate manufacturing stages.

The robot aims to reduce energy use, waste, and labour costs by combining printing, transport and assembly into a continuous automated workflow. The developers estimate Charlotte’s printing rate rivals that of over 100 bricklayers.

The team sees applications beyond Earth. They are exploring versions of Charlotte that could help build infrastructure on the Moon under NASA’s Artemis programme.

In Australia, housing markets face stress from population growth, low productivity and supply bottlenecks. Charlotte could be a scalable response to these challenges, particularly in remote or constrained areas.

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EU expands network of AI Factories

The European Commission has announced the addition of six new AI Factories, increasing the total to 19 facilities across 16 Member States.

The new centres in the Czech Republic, Lithuania, the Netherlands, Romania, Spain, and Poland will give startups, SMEs, and industry access to AI-optimised supercomputers and support.

The expansion is backed by over €500 million in joint investment from the EU and Member States, bringing the total funding for the AI Factories and Antennas initiative to more than €2.6 billion. The investments aim to boost Europe’s supercomputing capacity and speed up AI adoption in key sectors.

AI Factory Antennas will provide national AI communities with secure remote access to supercomputing resources alongside the factories. The initiative backs the EU’s AI Continent Action Plan and complements AI Gigafactories for developing and training advanced AI models.

By expanding infrastructure and expertise, the EU aims to position itself as a global leader in AI, fostering innovation, competitiveness, and adoption of AI across both industry and the public sector.

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