Development

AI-powered search expands with Microsoft’s Copilot Search

Microsoft has unveiled Copilot Search, a new AI-powered feature designed to enhance the Bing search experience.

Available at bing.com/copilotsearch, it generates responses using AI, providing users with summarised answers, related links, and reasoning behind the results. The feature follows Google‘s introduction of AI Mode in Search, which similarly offers AI-generated overviews for complex queries.

Copilot Search enables users to explore their queries more interactively. Responses include two key options: ‘See all links,’ which displays sources used in the summary, and ‘See reasoning,’ which explains how the response was generated.

Users can also submit follow-up questions within the same interface, keeping the entire conversation on a single page for easier navigation. Additional options for images and videos are available, though they redirect to Bing’s standard media search.

The latest search enhancement introduced by Microsoft reflects the increasing role of AI in online search, blending AI-generated insights with traditional web links.

Bing users who prefer the classic search experience will still have access to traditional results, while AI-generated answers will appear at the top of natural language queries.

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

Midjourney’s V7 debuts with personalization and improved image quality

Midjourney has launched V7, its first new AI image model in nearly a year, introducing major improvements in image quality and text prompt accuracy.

The model, which rolled out in alpha on Thursday, features enhanced textures, better coherence in generating bodies and objects, and a new personalization system that tailors results to individual users.

To access V7, users must first rate around 200 images to create a personalised profile, a feature enabled by default for the first time.

The new model is available in two versions: Turbo, which generates images at a higher cost, and Relax, a more budget-friendly option. A new Draft Mode also allows users to create lower-quality images at ten times the speed and half the cost of standard mode, with the option to enhance them later.

Some existing Midjourney features, such as image upscaling and retexturing, are not yet available in V7 but are expected within two months.

Midjourney remains an independent company, having raised no external funding since its launch in 2022. The San Francisco-based firm is reportedly generating around $200 million in revenue and is expanding into hardware, video, and 3D object generation.

However, the company faces ongoing legal challenges, with multiple lawsuits accusing it of using copyrighted images without permission to train its AI models.

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

Deutsche Telekom expands partnership with Google Cloud

Deutsche Telekom has strengthened its collaboration with Google, moving more of its services to the Google Cloud platform as part of its transformation into an ‘AI-first company.’ The expanded partnership aims to improve the agility and efficiency of Deutsche Telekom’s operations through AI-driven solutions.

Stefan Schloter, Chief Infrastructure Officer for Europe at Deutsche Telekom, highlighted how leveraging data and AI will enhance digital solutions across business entities, software engineering, and customer interfaces.

The MyMagenta app, for example, will integrate Google’s AI-powered Gemini assistant, further improving customer experience.

Google Cloud will also serve as the technical foundation of Deutsche Telekom’s new AI platform, the ‘One Data Ecosystem.’ However, this platform consolidates data systems and enhances data processing speed while ensuring compliance with privacy and data-sharing regulations.

Marianne Janik, Vice President of Google Cloud for Northern Europe, expressed excitement about the partnership, noting how cloud technology is pivotal for communications providers in driving innovation, flexibility, and growth for enhanced user experiences.

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.

Lumai raises $10 million to revolutionise AI with optical technology

AI accelerator startup Lumai has secured over $10 million in funding to advance its optical computing technology.

The investment round was led by Constructor Capital, with support from IP Group and new investors including PhotonVentures, Journey Ventures, and State Farm Ventures. The funding will be used to expand Lumai’s workforce, develop new products, and establish a stronger presence in the United States market.

Spun out of the University of Oxford, Lumai aims to tackle the growing energy demands of AI by replacing traditional silicon-based computing with optical processing.

Its technology processes AI’s core arithmetic operations using beams of light in 3D space, bypassing the limitations of conventional GPUs.

By using low-cost optical components, Lumai claims its accelerators can cut AI inference costs to a tenth of current solutions while delivering 50 times the performance and consuming just 10% of the power.

The demand for AI computing power is increasing rapidly, with US data centres expected to triple their energy consumption by 2028.

Lumai’s CEO, Tim Weil, believes optical computing is the key to unlocking the future of AI, enabling more sustainable and cost-effective advancements in large language models and next-generation AI.

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.

OpenAI’s Deep Research feature to expand to free users

OpenAI is preparing to make its Deep Research feature available to free-tier users, following its initial rollout to Plus and Enterprise customers.

The tool, designed to conduct in-depth online research, allows ChatGPT to analyse vast amounts of information, synthesise key findings, and generate detailed reports. Isa Fulford, a member of OpenAI’s technical staff, recently confirmed the planned expansion in a post on X.

Deep Research is powered by an optimised version of the o3 model, which enhances web browsing and data analysis capabilities.

Users can request reports on various topics, such as global smartphone adoption trends, and receive summaries with citations, graphs, and insights. The tool can also process text, images, and PDFs from online sources to provide more comprehensive responses.

No official timeline has been announced for when free users will gain access to the feature, but OpenAI’s move signals an effort to expand the accessibility of advanced AI-driven research.

The functionality may also allow users to upload their own files for more personalised analysis, further enhancing the potential of ChatGPT as a research assistant.

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

Anthropic introduces Claude to revolutionise learning and teaching

Claude for Education, launched by Anthropic, introduces a specialised AI for higher education, aiming to support universities in teaching, learning, and administration.

The initiative includes key features like Learning mode, full campus access for top universities, and partnerships with organisations like Internet2 and Instructure to integrate AI into academic tools.

Learning mode helps students develop critical thinking by guiding them through problems with Socratic questioning instead of providing direct answers. It also offers templates for research and study.

Key academic partnerships include Northeastern University, London School of Economics, and Champlain College, all of which will benefit from campus-wide access to Claude. These partnerships ensure AI’s responsible integration and accessibility for all students.

New student programs, such as the Claude Campus Ambassadors and API credit initiatives, provide opportunities for students to engage with and build on AI tools.

The launch also coincides with efforts to integrate AI into the academic plans of institutions like Northeastern University, which is pioneering AI adoption in higher education with its ‘Northeastern 2025’ initiative.

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

OpenAI CEO says India leads in AI creativity

Sam Altman sparked interest among Indian users on X after praising the country’s rapid AI adoption and sharing an AI-generated image of himself playing cricket. In his 2 April post, the OpenAI CEO called India’s AI creativity an ‘explosion,’ claiming the country was outpacing the world in adoption rates.

Users questioned why Altman singled out India, with some turning to AI chatbots like Perplexity and Grok for verification. His comments followed a February visit to India, where he met IT Minister Ashwini Vaishnaw and highlighted India as OpenAI’s second-largest market.

Altman’s remarks also came shortly after OpenAI’s GPT-4o update, which enhanced AI-generated images and illustrations. To showcase this, he shared an anime-style image of himself as a cricket player, sporting a Team India jersey.

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

Diplo chatbot can make mistakes. Consider checking important information.