The United States, Japan, and South Korea collaborate to strengthen digital infrastructure development in India through the recently announced Digital Infrastructure Growth Initiative for India Framework, known as the DiGi Framework. The significant partnership seeks to leverage the strengths of three influential nations, with key financial support from the US International Development Finance Corporation (DFC), the Japan Bank for International Cooperation (JBIC), and the Export-Import Bank of Korea (Korea Eximbank).
The primary objective of the DiGi Framework is to promote private sector investments in India’s digital infrastructure by addressing the strategic needs of various projects. Targeted sectors include multiple technologies and services, such as information and communications technologies (ICT), Open RAN, 5G telecommunications, submarine cables, optical fibre networks, telecom towers, data centres, smart cities, e-commerce, AI, and quantum technology.
Additionally, the initiative aims to foster meaningful dialogues between the Indian government and the private sector to promote funding for digital infrastructure projects. The collaborative effort builds upon an earlier agreement signed in August 2023, emphasising the importance of coordination and cooperation among like-minded countries to support private sector investment in infrastructure.
By enhancing collaboration and communication, the DiGi Framework aims to create an environment conducive to investment and innovation within India’s digital landscape. That initiative signifies a strong commitment to enhancing India’s digital infrastructure, positioning the country for sustainable growth and technological advancement in an increasingly digital world.
Why does it matter?
With the support of these three nations, the framework represents a strategic move to strengthen India’s technological capabilities and improve connectivity, ultimately benefiting its economic development and resilience in the face of future challenges.
The International Telecommunication Union (ITU) will prioritise new global standards for AI and digital public infrastructure (DPI), with the aim of fostering interoperability, trust, and inclusivity. The resolution, adopted at the World Telecommunication Standardisation Assembly (WTSA) held in Delhi, was led by India, which has promoted DPI platforms such as Aadhaar and UPI. This adoption underscores DPI’s importance as a technology that can bridge access to essential services across both public and private sectors, sparking particular interest from developing economies.
This year’s WTSA, attended by a record-breaking 3,700 delegates, also introduced standardisation frameworks for sustainable digital transformation, AI, and the metaverse, as well as enhancements to communications in vehicular technology and emergency services. These efforts aim to facilitate safer, more reliable AI innovations, particularly for nations lacking frameworks for emerging technologies. ITU Secretary General Doreen Bogdan-Martin emphasised that strong AI standards are essential for building global trust and enabling responsible tech growth.
India’s influence at WTSA highlights its commitment to shaping the global tech landscape, including standards for next-generation technologies like 6G, IoT, and satellite communications. To that end, the assembly also introduced study group (ITU-T Study Group 21), focusing on multimedia and content delivery standards.
Nvidia has deepened its ties with major Indian firms, including Reliance Industries, as it seeks to capitalise on the country’s growing AI market. At an AI summit in Mumbai, CEO Jensen Huang announced the launch of a new Hindi-focused AI model, Nemotron-4-Mini-Hindi-4B, designed to help businesses develop language-specific AI tools. This is part of Nvidia’s broader strategy to boost computing infrastructure in India, which Huang said will expand nearly 20 times by the end of this year.
The new model is tailored for Hindi, one of India’s 22 official languages, and aims to support companies in creating AI-driven solutions for customer service and content translation. Tech Mahindra is the first to adopt Nvidia’s offering, using it to develop a custom AI model, Indus 2.0, which also focuses on Hindi and its various dialects. Nvidia is also working with major IT players like Infosys, TCS, and Wipro to train half a million developers in AI.
In addition, companies such as Reliance and Ola Electric will use Nvidia’s “Omniverse” technology for virtual factory simulations, enhancing their industrial planning capabilities. The summit highlighted India’s growing significance in the global AI landscape as the country accelerates efforts to develop its semiconductor industry and AI infrastructure.
Arm Holdings is cancelling a key architectural license agreement with Qualcomm, escalating the legal dispute between the two companies. According to a Bloomberg News report, Arm has given Qualcomm a 60-day notice to terminate the agreement, which allows Qualcomm to design chips using Arm’s intellectual property. The two tech giants have been embroiled in a legal battle since 2022 when Arm sued Qualcomm for not renegotiating the license after its acquisition of chip startup Nuvia.
Qualcomm criticised Arm’s decision, calling it a ‘desperate ploy’ to disrupt the upcoming trial, which is set to begin in December. Qualcomm claims its rights under the agreement will be upheld and accuses Arm of anti-competitive behaviour. The dispute could impact shipments of laptops using Qualcomm’s chips, including Microsoft’s Copilot+ devices, and potentially reverse Qualcomm’s acquisition of Nuvia.
Despite the tensions, some analysts expect the companies to reach a settlement before the trial. A legal victory for Arm could have significant consequences for Qualcomm and its partners.
Alex Van Halen is exploring AI to complete unreleased Van Halen music left unfinished by his late brother Eddie. The drummer revealed that while the band has a vault of material, many tracks are incomplete and lack vocals. He hopes AI can analyse Eddie’s guitar style to generate new solos.
Alex has reached out to OpenAI, seeking their help in recreating his brother’s signature playing patterns. He envisions using AI-generated guitar parts alongside vocals from Led Zeppelin’s Robert Plant, despite not having spoken to the singer in decades. Completing the project could take years.
Eddie Van Halen, who passed away in 2020, left a significant legacy in rock music. His son Wolfgang, who toured with Van Halen, has said there is no chance of a reunion, preferring not to play the band’s music without his father.
AI is already playing a role in the music industry. Randy Travis, who lost his singing ability after a stroke, recently released a song with AI-generated vocals, recreating his voice through advanced technology. The success of that project offers hope for similar ventures, including Alex’s plans for Van Halen’s unfinished work.
A new AI tool created by Google DeepMind, called the ‘Habermas Machine,’ could help reduce culture war divides by mediating between different viewpoints. The system takes individual opinions and generates group statements that reflect both majority and minority perspectives, aiming to foster greater agreement.
Developed by researchers, including Professor Chris Summerfield from the University of Oxford, the AI system has been tested in the United Kingdom with more than 5,000 participants. It was found that the statements created by AI were often rated higher in clarity and quality than those written by human mediators, increasing group consensus by eight percentage points on average.
The Habermas Machine was also used in a virtual citizens’ assembly on topics such as Brexit and universal childcare. It was able to produce group statements that acknowledged minority views without marginalising them, but the AI approach does have its critics.
Some researchers argue that AI-mediated discussions don’t always promote empathy or give smaller minorities enough influence in shaping the final statements. Despite these concerns, the potential for AI to assist in resolving social disagreements remains a promising development.
Meta, the owner of Facebook, announced a partnership with Blumhouse Productions, known for hit horror films like ‘The Purge’ and ‘Get Out,’ to test its new generative AI video model, Movie Gen. This follows the recent launch of Movie Gen, which can produce realistic video and audio clips based on user prompts. Meta claims that this tool could compete with offerings from leading media generation startups like OpenAI and ElevenLabs.
Blumhouse has chosen filmmakers Aneesh Chaganty, The Spurlock Sisters, and Casey Affleck to experiment with Movie Gen, with Chaganty’s film set to appear on Meta’s Movie Gen website. In a statement, Blumhouse CEO Jason Blum emphasised the importance of involving artists in the development of new technologies, noting that innovative tools can enhance storytelling for directors.
This partnership highlights Meta’s aim to connect with the creative industries, which have expressed hesitance toward generative AI due to copyright and consent concerns. Several copyright holders have sued companies like Meta, alleging unauthorised use of their works to train AI systems. In response to these challenges, Meta has demonstrated a willingness to compensate content creators, recently securing agreements with actors such as Judi Dench, Kristen Bell, and John Cena for its Meta AI chatbot.
Meanwhile, Microsoft-backed OpenAI has been exploring potential partnerships with Hollywood executives for its video generation tool, Sora, though no deals have been finalised yet. In September, Lions Gate Entertainment announced a collaboration with another AI startup, Runway, underscoring the increasing interest in AI partnerships within the film industry.
Bain & Company announced it is expanding its partnership with OpenAI to offer AI tools like ChatGPT to its clients. The firms previously formed a global alliance to introduce OpenAI technology to Bain’s clients, and the consultancy has now made OpenAI platforms, including ChatGPT Enterprise, available to its employees worldwide.
Bain is also setting up an OpenAI Centre of Excellence, managed by its own team, to further integrate AI solutions. The partnership will initially focus on developing custom solutions for the retail and healthcare life sciences industries, with plans for expansion into other sectors.
While Bain did not disclose financial details, around 50 employees will be dedicated to this collaboration, as reported by the Wall Street Journal.
Sebastien Bubeck, Microsoft’s vice president of GenAI research, is leaving the company to join OpenAI, the AI startup behind ChatGPT. Microsoft has not provided details on the role Bubeck will assume at OpenAI but has confirmed it will continue its relationship with him through its backing of the company.
While Bubeck did not respond to requests for confirmation, Microsoft stated that he is departing to further his work on artificial general intelligence (AGI). Despite his exit, the majority of his team working on Microsoft’s smaller Phi large language models (LLMs) will stay on to continue their work.
This follows a series of recent departures from OpenAI, including longtime chief technology officer Mira Murati. However, OpenAI CEO Sam Altman has denied that these exits are linked to any planned restructuring of the company.
Bubeck’s departure marks a significant shift in Microsoft’s AI research landscape but highlights ongoing collaboration with OpenAI, with whom it shares a deep investment in the future of AGI.
Japanese companies Rapidus and Denso are set to collaborate on creating standardised design methods for advanced chips, which will be used in sectors such as AI and self-driving vehicles. The collaboration marks a significant step for Japan as it leads efforts to develop cutting-edge chip technology.
This is the first time Japanese firms have taken the lead in standardising chip design methods. The initiative is aimed at boosting Japan’s competitiveness in the global chip market, where competition is fierce and innovation is key.
Rapidus and Denso will encourage other companies to join in sharing their chip designs. The shared methods are expected to reduce development time and production costs, fostering a more efficient approach to chip manufacturing.
By creating common design practices, the companies hope to speed up the development of advanced chips, making them more affordable to produce and further solidifying Japan’s position in the tech industry.
