Development Archives | Page 357 of 541 | Digital Watch Observatory

FuriosaAI rejects $800m acquisition offer from Meta

FuriosaAI, a South Korean startup specialising in AI chips, has reportedly turned down an $800 million acquisition offer from Meta.

Instead of selling, FuriosaAI plans to continue developing its AI chips. Disagreements over post-acquisition business strategy and organisational structure were reportedly the cause of the breakdown in negotiations, rather than issues over price.

Meta, which has been trying to reduce its reliance on Nvidia for chips specialised in training large language models (LLMs), unveiled its custom AI chips last year. The company also announced plans to invest up to $65 billion this year to support its AI initiatives.

FuriosaAI, founded in 2017 by June Paik, who previously worked at Samsung Electronics and AMD, has developed two AI chips—Warboy and Renegade (RNGD).

The startup is also in talks to raise approximately $48 million and is planning to launch the RNGD chips later this year, with LG AI Research already testing them for use in its AI infrastructure.

FuriosaAI’s decision to focus on expanding its chip production signals its confidence in competing with giants like Nvidia and AMD in the rapidly growing AI hardware market.

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Apple plans to add cameras to future Apple Watch

Apple is reportedly planning to introduce cameras to its Apple Watch lineup within the next two years, integrating advanced AI-powered features like Visual Intelligence.

According to Bloomberg’s Mark Gurman, the standard Apple Watch Series will have a camera embedded within the display, while the Apple Watch Ultra will feature one on the side near the digital crown.

These cameras will allow the smartwatch to observe its surroundings and use AI to provide real-time, useful information to users.

Apple is also exploring similar camera technology for future AirPods, aiming to enhance their functionality with AI-driven capabilities.

The concept builds on the Visual Intelligence feature introduced with the iPhone 16, which allows users to extract details from flyers, identify locations, and more using the phone’s camera.

While the current system relies on external AI models, Apple is working on its in-house AI technology, and it is expected to power these features by 2027, when the camera-equipped Apple Watch and AirPods are likely to be released.

The move is part of Apple’s broader push into AI, led by Mike Rockwell, who previously spearheaded the Vision Pro project.

Rockwell is now overseeing the upgrade of Siri’s language model, which has faced delays, and contributing to visionOS, the operating system expected to support AI-enhanced AR glasses in the future. Apple’s increasing focus on AI suggests a shift towards more intelligent, context-aware wearable devices.

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Google expands Gemini with real-time AI features

Google has begun rolling out real-time AI features for its Gemini system, allowing it to analyse smartphone screens and camera feeds instantly. These capabilities, which will be available to select Google One AI Premium subscribers, build on the company’s earlier ‘Project Astra’ demonstration.

The live video feature will enable Gemini to interpret smartphone camera feeds in real time, providing users with instant answers and insights.

The new functionality also allows users to engage in back-and-forth conversations with Gemini based on their screen’s content. A Reddit user recently demonstrated the ‘Share screen with Live’ feature, accessible via the Gemini overlay, showcasing its ability to process and respond to information directly from a device’s display.

Google has confirmed that these updates will first roll out to Gemini Advanced subscribers under the Google One AI Premium Plan, with Pixel and Galaxy S25 owners among the first to gain access.

In addition to real-time AI video capabilities, Google has introduced ‘Canvas,’ a tool designed to help users refine documents and code seamlessly. Canvas allows for real-time edits and streamlines the process of developing prototypes for web apps, Python scripts, and other digital projects.

Another notable addition is ‘Audio Overview,’ which transforms written documents, slides, and research reports into podcast-style discussions between two AI-generated hosts.

An innovation like this aims to make complex information more engaging and accessible by delivering content in a conversational format. Google continues to expand Gemini’s capabilities, reinforcing its position at the forefront of AI-driven user experiences.

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Satellite messaging comes to Xfinity and Spectrum

Comcast and Charter introduced satellite-based emergency messaging for their mobile customers, following Verizon’s lead a day earlier. The new feature is available to Xfinity Mobile and Spectrum Mobile users but only on Samsung Galaxy S25 and Google Pixel 9 devices.

The service is powered by Skylo, a non-terrestrial network provider that also helped launch Google’s Satellite SOS feature on the Pixel 9. The function is currently limited to sending emergency messages when users are outside Wi-Fi or cellular coverage.

Both companies plan to expand the feature soon, allowing users to send and receive regular SMS texts via satellite. This move places Comcast and Charter among many carriers exploring satellite connectivity.

Other telecom giants are also advancing in this space. T-Mobile is working with Starlink to offer direct-to-cell satellite messaging, while AT&T is developing capabilities similar to AST SpaceMobile, signalling a broader shift in how mobile networks handle connectivity in remote areas.

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Astroscale eyes Indian market for orbital debris removal

Japanese space company Astroscale has partnered with Indian firms Digantara and Bellatrix Aerospace to develop orbital debris removal and servicing technologies.

The collaboration aims to offer services to Indian clients within the next two years, marking Astroscale’s first major operation in the Asia-Pacific region outside Japan.

India‘s growing space sector and policy shifts towards commercialisation have made it an attractive market for the company.

Digantara specialises in space situational awareness, while Bellatrix Aerospace develops satellite propulsion systems.

The partnership will initially focus on providing services for Indian government clients, with potential expansion into private and international markets. Astroscale is also exploring opportunities in South Korea, Taiwan, Indonesia, and Australia.

India has recently opened its space industry to private players, introducing a ₹10 billion fund to support startups.

Astroscale has already secured contracts with space agencies in Japan, the United States, the Unit ed Kingdom, and France, and is working with JAXA on a commercial debris removal mission set for 2027.

As space activity increases, industry estimates suggest satellite collisions could result in more than $500 million in risk over the next five years.

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Chinese AI startup Manus gains recognition in state media

Chinese AI startup Manus has registered its AI assistant for the domestic market and gained state media attention, signalling government support for its expansion.

The company, which recently gained global recognition, was featured on China’s CCTV in a segment comparing its AI agent to the chatbot made by DeepSeek’s chatbot.

Beijing’s growing interest in homegrown AI firms follows the success of DeepSeek, which developed competitive AI models at a lower cost than its United States counterparts.

Manus has made headlines for developing an AI agent capable of making autonomous decisions with minimal prompting, a step beyond traditional chatbots like ChatGPT.

The firm recently announced a partnership with Alibaba’s Qwen AI team, a move that could accelerate its rollout in China. Currently, the AI agent is available only through invite codes, with a waiting list of two million users.

Regulatory approval was also secured for Monica, Manus’ AI assistant, allowing its launch in China. All generative AI applications in the country must comply with strict content regulations to align with Beijing’s policies.

Manus’ growing presence in China highlights the government’s strategy of fostering domestic AI innovations while ensuring regulatory oversight.

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AMD vs Intel in the CPU market battle

The competition between AMD and Intel remains intense, despite Intel’s larger market share. In recent years, AMD has emerged as the preferred choice for gamers, often topping sales charts, including Amazon’s CPU best-sellers list.

Just yesterday, AMD dominated the top 15 spots instead of Intel. Surprisingly, the top processor was AMD’s Ryzen 7 9800X3D, a high-end gaming chip, priced at $480, despite its occasional stock shortages.

The top 15 list featured a mix of older and newer AMD processors, such as the Ryzen 5 5500 and Ryzen 5 5600X, indicating that AMD has successfully kept older hardware relevant and in demand.

However, today’s best-seller list paints a slightly different picture, as Intel has managed to secure several spots, with older models like the Alder Lake chips offering more affordable alternatives to current AMD processors.

Interestingly, Intel’s latest Arrow Lake processors did not make it to the top 50 best-sellers on Amazon. This suggests that many customers prefer the more affordable Intel options or turn to AMD, which has shifted the market dynamics significantly in recent years.

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Google adds Mind Maps to NotebookLM

Google has unveiled a new feature called Mind Maps for its AI-powered research tool, NotebookLM. Mind maps are visual diagrams that help users understand complex subjects by displaying ideas and their connections.

An addition like this follows the recent release of Audio Overviews, which provide AI-generated podcasts summarising key points from documents, articles, and videos.

NotebookLM, which works in both free and paid versions, assists users in summarising content and offering interactive conversations with AI to deepen understanding.

The new Mind Maps feature lets users generate and explore visual connections between ideas. Once created, users can zoom, expand or collapse branches, and click on nodes for detailed information on specific topics.

The feature is particularly useful for students or anyone who needs to absorb a lot of information quickly. With the combined power of Mind Maps and Audio Overviews, NotebookLM offers a multi-faceted approach to learning, making it easier to navigate and retain key insights.

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Abu Dhabi sets goal to become first AI government

The Abu Dhabi Government has signed a landmark agreement with tech giant Microsoft and Core42, a subsidiary of AI powerhouse G42, to fast-track the adoption of AI across its public services.

The partnership will focus on merging Microsoft’s advanced cloud technology with G42’s AI capabilities to drive innovation and efficiency.

As part of its digital transformation strategy, Abu Dhabi aims to process more than 11 million digital interactions daily, making public services more innovative and responsive. Officials say this collaboration marks a pivotal step toward redefining how the government engages with citizens through technology.

With a dedicated budget of around $3.54 billion (Dh13 billion), Abu Dhabi has set its sights on becoming the world’s first fully AI-powered government by 2027. The initiative signals the emirate’s ambition to lead globally in AI-driven governance and digital innovation.

Microsoft CEO Satya Nadella called the agreement a new benchmark for public sector AI use, emphasising that Abu Dhabi is setting the pace for governments worldwide in embracing transformative technologies.

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MIT advances scalable quantum computing networks

MIT researchers have developed a breakthrough quantum interconnect device that could significantly advance quantum computing by enabling direct communication between multiple quantum processors.

Unlike point-to-point architectures, which suffer from compounded error rates, their new ‘all-to-all’ communication system allows superconducting quantum processors to exchange quantum information efficiently using microwave photons.

By successfully demonstrating remote entanglement between two quantum processors, the researchers have taken a crucial step toward building large-scale quantum computing networks.

Their method involves using superconducting wires to shuttle photons, allowing quantum processors to remain entangled even when physically separate. However, this advancement paves the way for scalable quantum computing with higher flexibility and reduced error rates.

To maximise efficiency, the team employed reinforcement learning algorithms to optimise photon absorption, achieving over 60% absorption efficiency—enough to confirm successful entanglement.

Future improvements may involve refining photon pathways and integrating modules in 3D to further enhance performance. The research, supported by multiple US agencies and AWS, brings quantum computing closer to practical, large-scale implementation.

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