AI is transforming daily life for visually impaired individuals like Louise Plunkett, who has Stargardt disease, a condition causing progressive vision loss. Apps like “Be My AI” use ChatGPT to generate detailed descriptions of images, helping users identify everyday items, read packaging, and navigate spaces. While Plunkett praises its convenience, she notes that its descriptions can sometimes be overly detailed.
Developed by the Danish firm Be My Eyes, the app initially relied on human volunteers to describe visual elements over video calls. Now, its AI-driven features are expanding, with users increasingly turning to it for tasks such as analysing WhatsApp images. The company envisions future applications like live-streamed AI assistance to describe surroundings in real time.
Other innovations include the AI-powered WeWalk cane, which offers navigation, obstacle detection, and public transit updates through voice commands. Advocates like Robin Spinks of the Royal National Institute of Blind People emphasise AI’s potential to revolutionise accessibility, offering tools that make life easier for those with vision impairments. Despite some skepticism, many find the technology invaluable.
Biotech startup Cradle has raised $73 million to expand its labs and team, aiming to make AI-powered protein design more accessible. Founded in 2022, the company uses language models to analyse proteins, often described as “an alien programming language,” to suggest modifications that improve functionality, such as heat resistance or manufacturability.
Cradle’s software has gained traction among biotech and pharmaceutical companies by reducing the time and cost of experimental rounds, which can be both expensive and unpredictable. Its simple SaaS model eliminates concerns about royalties or intellectual property, offering a streamlined approach compared to competitors that co-develop drugs or processes.
Despite being a software provider, Cradle maintains a laboratory in Amsterdam to validate protein designs and build datasets to refine its models. The latest funding, led by IVP with participation from Index Ventures and Kindred Capital, will support lab expansion and further hiring. CEO Stef van Grieken aims to scale Cradle’s tools to reach a million scientists worldwide.
Anthropic has unveiled the Model Context Protocol (MCP), an open-source standard designed to improve AI assistant performance by connecting them directly to data systems. MCP allows AI models to access diverse sources, such as business tools and development environments, enabling more relevant and context-aware responses. Developers can build two-way connections using MCP servers and clients, eliminating the need for fragmented custom integrations.
Major companies like Block and Apollo have already integrated MCP, and developers can start building with prebuilt servers for platforms like Google Drive and Slack. Subscribers to Anthropic’s Claude Enterprise can use MCP to link the Claude chatbot to internal systems. The company hopes MCP will encourage scalable, seamless AI implementations while fostering collaboration through open-source contributions.
Despite its promise, MCP faces competition from proprietary solutions, including OpenAI‘s app-connecting features. Anthropic‘s claims of improved AI functionality remain unverified, with no performance benchmarks currently available.
Zoom, once synonymous with video conferencing during the pandemic, is pivoting to redefine itself as an ‘AI-first work platform for human connection.’ The company has dropped ‘Video’ from its name, now operating as Zoom Communications Inc., as part of its broader strategy to move beyond video services and compete with tech giants like Google, Microsoft, and Slack.
Amid declining growth following its pandemic-era boom, Zoom has expanded its offerings to include a comprehensive suite of tools under its Zoom Workplace solution, featuring team chat, email, and productivity apps. CEO Eric Yuan envisions AI as the cornerstone of this transformation, with tools designed to automate routine tasks and create ‘digital twins’ for users, freeing up time and enabling a four-day workweek.
In October, Zoom introduced its upgraded AI companion, which offers advanced summarisation and assistance capabilities. Yuan emphasises that leveraging AI for smarter, hybrid work solutions will be critical to keeping Zoom relevant as workers return to offices and competition in the enterprise software market intensifies.
IMAX is adopting AI technology to bring its original content to more global audiences. The company has partnered with Dubai-based Camb.ai to use advanced speech and translation models for content localisation. With non-English content growing in popularity, including in English-speaking markets, the initiative aims to increase accessibility and reduce costs.
Camb.ai’s AI platform, DubStudio, supports over 140 languages, including lesser-known ones. Its specialised models, Boli and Mars, ensure accurate text-to-speech translations while preserving nuances like background audio and tone. The startup’s technology has been previously deployed for live events like the Australian Open and Eurovision Sport, showcasing its ability to handle high-pressure scenarios.
IMAX plans a phased rollout of the AI localisation, starting with widely spoken languages. Early tests of Camb.ai’s technology on IMAX’s original documentaries proved promising. The company expects the collaboration to reduce translation expenses while boosting the global appeal of its immersive experiences.
Camb.ai, founded by former Apple engineer Akshat Prakash and his father, recently raised $4 million and is securing additional funding to expand its team and operations. The startup avoids controversial data scraping methods, relying instead on ethically licensed datasets and input from early partners, positioning itself as a reliable choice for AI-driven content solutions.
Samsung R&D Institute, Noida (SRI-Noida), and the Indian Institute of Technology Bombay (IIT Bombay) have entered into a five-year Memorandum of Understanding (MoU) to drive innovation in critical areas such as AI, digital health, and other emerging technologies. That collaboration highlights Samsung’s commitment to strengthening industry-academia ties for technological advancements.
The MoU establishes a framework for joint research projects, where IIT Bombay students and faculty will collaborate with Samsung engineers. This initiative enhances students’ industry readiness and facilitates the publication of joint research papers, promoting knowledge sharing that will accelerate technological progress and industry-aligned innovation.
In addition to research collaboration, the partnership offers specialised training and certification programs for Samsung engineers in cutting-edge fields like AI and digital health. This expertise exchange ensures that academia and industry professionals benefit from the partnership.
Through this partnership, Samsung and IIT Bombay aim to foster innovation and push the boundaries of next-generation technologies. By combining industry expertise and academic knowledge, the collaboration seeks to inspire future breakthroughs and set the foundation for sustained technological progress.
A groundbreaking AI model was introduced by Nvidia, showcasing advanced capabilities in audio and music generation. Known as Fugatto, the model can create novel sounds, modify voices, and even transform existing audio. Unlike other AI tools, it can take a piano melody and convert it into a human voice or adjust accents and emotional tones in spoken recordings.
Fugatto builds on generative AI’s potential to reshape creative industries like music, film, and gaming. Nvidia’s vice president of applied deep learning, Bryan Catanzaro, highlighted how computers have already revolutionised music through synthesizers, suggesting AI will usher in even greater innovation. While promising, the technology is not yet slated for public release due to concerns over ethical misuse and potential copyright issues.
The model was developed using open-source data and joins a growing trend of tools from companies like Meta and Runway, which also generate audio and video from text prompts. Nvidia’s innovation stands out for its focus on transforming existing recordings into entirely new formats, a feature that could significantly enhance creative possibilities.
Generative AI remains under scrutiny as industry leaders grapple with ethical concerns. The entertainment industry, already wary after disputes involving voice imitation, is debating how to integrate such technologies responsibly. Nvidia and others have acknowledged the risks of misuse, prompting a cautious approach to public rollouts.
South Korea has become Taiwan’s largest source of trade deficit, surpassing Japan, with a record $18.1 billion deficit in the first 10 months of this year, according to Taiwan’s Ministry of Finance. Integrated circuits account for $12.9 billion, or 71.3%, of the total deficit, driven by South Korea’s dominance in memory chip production and its role in the AI supply chain.
South Korea’s SK hynix, the second-largest memory chip maker, has partnered with Taiwan’s TSMC to produce advanced HBM chips for AI leader NVIDIA, underscoring the countries’ intertwined roles in the tech industry. Taiwan relies on South Korea for DRAM, a key component in packaging and integrating AI technologies, further fueling the deficit.
Trade between the two nations remains robust, with South Korea ranking as Taiwan’s fifth-largest export market and fourth-largest import source. Both export-oriented economies share overlapping industrial structures, particularly in electronics, highlighting their competition and collaboration within global supply chains.
The UK government has announced the launch of a Laboratory for AI Security Research (LASR), an initiative to protect against emerging AI-driven threats and bolster Britain’s cyber resilience. The lab, backed by an initial £8.22 million in government funding, will bring together experts from academia, industry, and government to address AI’s evolving challenges to national security.
Speaking at the NATO Cyber Defence Conference in London, the Chancellor of the Duchy of Lancaster emphasised that AI is revolutionising national security and noted that ‘[…]as we develop this technology, there’s a danger it could be weaponised against us. Our adversaries are exploring how to use AI on the physical and cyber battlefield’.
LASR will collaborate with leading institutions, including the Alan Turing Institute, Oxford University, Queen’s University Belfast, and Plexal, alongside government agencies such as GCHQ, the National Cyber Security Centre, and the MOD’s Defence Science and Technology Laboratory. Partnerships will extend to NATO allies and Five Eyes countries, fostering an international approach to AI security.
In addition to LASR, the government announced a £1 million incident response project to help allies respond more effectively to cyberattacks. This initiative will further enhance international cooperation in managing cyber incidents.
The official communication highlights that this announcement aligns with the government’s broader agenda, including the forthcoming Cyber Security and Resilience Bill (to be introduced to Parliament in 2025) and the designation of data centres as critical national infrastructure (CNI) to secure the UK’s position as a global leader in cybersecurity and AI innovation.
The Japanese government has announced plans to invest an additional 200 billion yen ($1.3 billion) in Rapidus Corp. in fiscal 2025, aiming to enhance the domestic semiconductor industry. This follows a 920 billion yen package already allocated to support the chipmaker, with the added funding expected to attract private-sector investment to strengthen Japan‘s supply chain for next-generation chips.
Rapidus, a venture formed in 2022 by major Japanese companies like Toyota and Sony, estimates it will require around 5 trillion yen to complete a cutting-edge manufacturing plant in Hokkaido. The plant aims to begin mass production of advanced semiconductors by 2027. The project has also secured technical collaboration with United States tech giant IBM, ensuring access to key expertise in chip development.
The government is set to approve a comprehensive financial package that includes the new funding and potential loan guarantees, highlighting its focus on revitalising the once-dominant semiconductor industry. The move aligns with Japan’s strategy to mitigate geopolitical risks and compete in the global chip market, which remains critical for technologies from AI to electric vehicles.
The additional funding underscores Japan’s commitment to regaining a leading position in the semiconductor supply chain amid growing global competition. By fostering public-private partnerships and strengthening technological capabilities, Japan aims to reduce reliance on foreign suppliers and secure its stake in an increasingly vital industry.
