Google is introducing several new AI-powered features to its Maps app in India, including AI-generated summaries, enhanced search options for experiences, and real-time weather alerts. Announced during the annual Google for India event, these updates will allow users to search for specific experiences, like ‘unique picnic spots’ or ‘themed birthday cakes,’ with results presented through an image-focused interface highlighting photos uploaded by businesses and users.
Additionally, the AI in Google Maps will analyse reviews to provide concise summaries of places, similar to features launched in the US earlier this year. When navigating, users will also receive weather alerts about low visibility from fog or flooding.
These updates follow Google’s July introduction of India-specific features, such as improved navigation for narrow roads and flyovers, EV charging station locations, and community-powered discovery lists. The new features will be rolled out to Indian users later this month.
Japan’s Fair Trade Commission has launched an investigation into the rapidly expanding generative AI market. Concerns have been raised about the dominance of US tech companies, particularly in semiconductors and the specialist workforce needed for AI development.
The commission has invited businesses and users to provide input on antitrust risks, with a first report expected next spring. The study aims to identify challenges for new companies entering the AI market, which often depends on advanced semiconductors and vast data resources.
Nvidia’s dominance in the semiconductor market, controlling 80% of chips used for AI, is highlighted as a potential barrier to competition. The commission also noted risks related to monopolisation of specialists by large IT companies and prioritising their own AI products.
Other nations, including the US, European Union, and South Korea, are conducting similar investigations. Study in Japan intends to balance AI’s benefits with ensuring fair market access and competition.
OpenAI, the company behind ChatGPT, has raised $6.6 billion in new funding, pushing its valuation to an estimated $157 billion. The funding round saw participation from major investors such as Microsoft, Nvidia, Thrive Capital, and Khosla Ventures. Despite recent restructuring and the sudden exit of longtime Chief Technology Officer Mira Murati, investor confidence remains high, with many believing in the company’s strong growth potential. Thrive Capital alone has committed $1.2 billion and may invest another $1 billion next year if revenue targets are met.
OpenAI is in the midst of restructuring, moving away from its non-profit origins towards a more commercial, for-profit model. The recent funding could convert into equity if this transition succeeds. CFO Sarah Friar suggested a potential buyback of employee shares, though no concrete plans have been set. Investors have also secured protections, allowing them to renegotiate the valuation if the restructuring is not finalised within two years.
Since launching ChatGPT, OpenAI has seen rapid growth, attracting 250 million weekly active users. Despite incurring heavy losses, the company anticipates generating $3.6 billion in revenue this year, with projections reaching $11.6 billion in 2024. As it scales, OpenAI remains committed to its pursuit of artificial general intelligence (AGI), aiming to advance AI capabilities while moving towards profitability.
Croatian startup AEOS, formerly known as AdScanner, has secured €10 million in a Series B investment round led by Taiwania Capital, with additional backing from existing investors. This funding follows significant revenue growth and product innovations that aim to redefine how advertisers reach audiences across both traditional television and streaming platforms.
Founded in 2012, AEOS has become a key player in the European TV advertising market, using data-driven technology to enhance campaign planning and audience measurement. Operating in Croatia, Germany, Austria, Bulgaria, and Serbia, the company plans to use the new investment to accelerate growth and develop its product offerings, particularly in the AI space.
The funding will support the development of AI-driven tools that help advertisers optimise their campaigns across platforms. AEOS has already gained recognition for its Cockpit solution, offering near real-time analytics and bridging the gap between traditional broadcast media and digital streaming services.
In 2024, AEOS will launch its second-generation AI-based planning tool, designed to unify TV and streaming campaigns into one seamless ecosystem. The tool allows advertisers to plan, measure, and optimise their campaigns across multiple devices with greater accuracy than ever before.
Sir Paul McCartney has announced his return to the stage with the ‘Got Back’ tour, featuring a highly anticipated performance of the last Beatles song, Now and Then. The song, which includes vocals from the late John Lennon, was completed with the help of AI technology and marks a poignant moment in Beatles history.
Now and Then was created using Lennon’s vocals from an old cassette tape, recovered and refined using AI. McCartney and fellow Beatle Ringo Starr worked together on the project, adding guitar parts from the late George Harrison. The song, originally left unfinished in 1977, has now been brought to life, with McCartney singing alongside Lennon’s voice.
The tour will kick off in Montevideo, Uruguay, before moving through South America and Europe, with two dates at Manchester’s Co-op Live and two final shows at London’s O2 Arena in December. McCartney, who last played in the UK at Glastonbury four years ago, has expressed excitement about returning to his home country to end the tour.
Despite some complaints from Liverpool fans over the absence of a hometown gig, McCartney remains enthusiastic about his UK shows. He described the upcoming performances as a ‘special feeling’ and looks forward to closing out the year with a celebration on home soil.
Recent research reveals that OpenAI’s ChatGPT remains the most sought-after AI tool, with nearly 25 million searches from US users each month. Despite its immense popularity, Google’s Gemini follows far behind in second place, receiving just 1.5 million searches.
Although Gemini struggled earlier in the year, public interest has been growing. This uptick might be tied to its association with Google’s AI-powered Pixel 9 phones, which launched after the data was collected. Gemini’s appearance on Android devices could further boost its profile.
Other popular AI tools trail significantly behind, with Microsoft’s Copilot in third place, generating 368,000 searches monthly. Perplexity and Brave Search round out the top five. Interestingly, AI models like Character.ai and Claude failed to make the top 15 in searches.
Superside’s study demonstrates the clear user preference for established AI models. While the interest in AI continues to rise, a few dominant players seem to capture the majority of attention.
Google’s Gemini Nano, a powerful on-device AI model, is now available for developers to integrate into their apps through the newly released AI Edge SDK. By running locally, Gemini Nano offers tasks such as text summarisation and image descriptions, while keeping user data private by processing everything on the device.
Already featured in Google’s Pixel 9 and Samsung’s Galaxy S24 devices, Gemini Nano powers AI functionalities in apps like Pixel Recorder and Google Messages. Developers can now experiment with these tools to bring AI features to their own apps, with Google expanding access to the AI Edge SDK beyond its previous early access programme.
Currently, developers can explore text-to-text prompts, such as smart replies, proofreading, and summarisation. Google plans to add support for other modalities, like image processing, in future updates. This move will enable broader AI integration across third-party apps, offering enhanced user experiences.
By customising Gemini Nano through the AI Edge SDK, developers will have control over how AI processes information, allowing them to adapt responses to suit their app’s needs. This marks a significant step towards more AI-driven apps for Android users.
Microsoft has officially launched the OpenAI library for .NET, offering comprehensive support for OpenAI’s REST API and flagship models like GPT-4.0. Designed to simplify integration for developers, the library enables the use of OpenAI and Azure OpenAI services within .NET applications.
Following a beta release in June, the stable version is now available through NuGet. It includes full support for models such as GPT-4.0 mini and o1-preview, while providing flexibility for developers to create extensions and additional libraries for specific needs.
The library also includes both synchronous and asynchronous APIs, allowing developers to choose between different patterns for their applications. Other key features include streaming completions for more dynamic interactions, and compatibility with .NET Standard 2.0, ensuring broad usage across different platforms.
This open-source library, available on GitHub, complements OpenAI’s existing libraries for Python and JavaScript, making it easier for developers to work with OpenAI technologies in .NET environments.
An AI-powered camera system has been introduced on Tavistock Road, Plymouth, to detect road traffic offences. The technology captures images of passing vehicles, checking for seatbelt use and drivers using mobile phones. While the AI initially identifies potential offences, the final decision is made by human reviewers. Offenders may receive a warning letter or prosecution notice.
Adrian Leisk from Devon and Cornwall Police emphasised the safety risks associated with not wearing seatbelts and using mobile phones while driving. He highlighted several recent fatal incidents linked to these offences. Authorities aim to encourage safer driving habits rather than penalise motorists.
Plymouth City Council revealed that similar AI camera deployments in 2023 along other roads in Devon and Cornwall showed positive results. Data from the A30 and A38 reported low offence rates, with 0.31% for mobile phone use and 0.38% for seatbelt violations.
Authorities hope that the new system will continue to reduce driving offences and improve road safety. The initiative focuses on changing driver behaviour, with the ultimate goal of preventing accidents caused by distractions and failure to use seatbelts.
Jensen Huang, Nvidia’s CEO, has described demand for the company’s AI chips as ‘insane’, reflecting the increasing global interest in AI technology. His remarks came as Nvidia announced an expanded partnership with IT consultancy Accenture, aimed at scaling AI solutions for businesses worldwide.
The collaboration will see a new business group formed, focused on building custom AI systems using Nvidia’s cutting-edge technology. The partnership also involves Meta’s open-source AI models, Llama, further reinforcing Nvidia’s position as a major player in the growing AI ecosystem. Huang highlighted the role of the partnership in addressing global AI demand, marking the start of what he termed the ‘enterprise AI’ wave.
As corporations scramble to build AI infrastructure, Nvidia’s dominance in AI hardware, particularly in graphics processing units (GPUs), has been a key driver of the company’s success. Nvidia’s stock has surged, closing 1.6% higher, and more than doubling in value this year, while Accenture’s shares also rose by 1.2%.
Nvidia’s success is driven by widespread adoption of AI across industries such as healthcare, cloud computing, and finance. The partnership with Accenture represents the latest step in Nvidia’s strategy to secure its leadership in the enterprise AI market, which is poised for exponential growth in the coming years.
