Category: Artificial intelligence

  • New Temporary Chat Feature Released in ChatGPT

    New Temporary Chat Feature Released in ChatGPT

    OpenAI has introduced a recent update that focuses on giving users more control over their ChatGPT experience, particularly in terms of data management. Previously, there were concerns raised by users regarding the lack of a mode ensuring private or non-existent conversation history. However, this latest update brings forth significant enhancements in two key areas:

    Enhanced Data Control and Privacy Features

    Full Chat History Access:

    In the past, users who chose not to share their conversation data for ChatGPT training were unable to access their chat history. This update removes this limitation, allowing all users to revisit their past interactions irrespective of their data sharing preferences. OpenAI emphasizes that users' previous data sharing choices continue to be respected.

    Temporary Chats:

    A novel feature introduced in this update is the "temporary chat" option. This feature is ideal for discussions on sensitive subjects or instances where users prefer their conversations not to be recorded. Conversations conducted in this mode are not stored in the chat history, ensuring a confidential and transient interaction with ChatGPT.

    OpenAI's latest update is currently active on the ChatGPT web version, with plans for a mobile app rollout in the near future. This update underscores OpenAI's dedication to a user-centric approach, providing users with increased authority over their chat history, honoring data sharing preferences, and introducing innovative features like temporary chats to bolster privacy and control.

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  • Microsoft’s Internal Emails: Competition with Google AI

    Microsoft’s Internal Emails: Competition with Google AI

    Microsoft‘s leaked internal communications reveal a strong emphasis on narrowing the gap with Google in the realm of artificial intelligence (AI). In a 2019 email, Chief Technology Officer Kevin Scott expressed serious concerns to CEO Satya Nadella and co-founder Bill Gates regarding Microsoft's lag behind Google in AI advancements. Scott admitted that Microsoft had underestimated the level of investment by its competitor and acknowledged that the company was "several years behind" in terms of machine learning capabilities.

    Google's Head Start

    Google's six-month lead enabled them to create larger models and surge ahead in the AI race. Microsoft faced challenges in keeping pace with Google, notably in replicating Google's BERT large language model. Despite having a model template, Microsoft's infrastructure constraints caused a training delay of nearly six months compared to Google. This delay allowed Google to enhance BERT, creating even larger models that significantly boosted search question-answering and Gmail's autocompletion functions, leading to a notable performance increase observed by Scott, who noted a 10-point jump in these areas for competitors.

    Strategic Partnerships and Investments

    Dr.iven by a sense of urgency, Microsoft forged a collaboration with OpenAI in 2019, investing $1 billion in the venture. Since then, their partnership has deepened, with Microsoft's total investment exceeding $13 billion as of May 1, 2024. This substantial financial commitment underscores Microsoft's determined pursuit of AI leadership, a critical domain for competing with Google and preserving its technological relevance.

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  • Apple AI Team: Former Googlers Constitute Significant Share

    Apple AI Team: Former Googlers Constitute Significant Share

    Apple has initiated efforts in the realm of artificial intelligence to stay competitive with the likes of OpenAI and Google in terms of AI capabilities. Since 2018, Apple has onboarded a minimum of 36 professionals skilled in AI development from Google, as per a study by the Financial Times analyzing LinkedIn profiles. Notably, John Giannandrea, Google’s former AI head, now serves as Apple’s top AI executive.

    Apple’s Focus on AI Talent Acquisition

    An Apple Research Paper recently unveiled details about multimodal large language models, showcasing six authors who transitioned from Google within the last two years. Furthermore, out of the 31 authors, nine identified Google as their previous employer on LinkedIn. Additionally, two professionals made the move from Microsoft to Apple. Meta CEO Mark Zuckerberg has also made efforts to recruit Google’s AI researchers through personal correspondence.

    The Ongoing “AI Talent War”

    This trend is indicative of a broader "AI talent war" among tech giants. Notably, Google attracted Logan Kilpatrick, OpenAI’s former head of developer relations. In line with Apple’s AI development, the company has assembled a team of AI experts within a clandestine European laboratory based in Zurich. These professionals boast experience working with major tech companies, including Google. Referred to as the "Vision Lab," this facility appears to concentrate on advanced multimodal large language models. Apple’s other AI hubs are situated in California and Seattle.

    Enriching iOS 18 with AI Features

    Anticipated developments aim to enhance iOS 18 with generative AI functionalities across various applications such as Siri, Spotlight, Shortcuts, Apple Music, Messages, Health, Keynote, Numbers, and Pages. Apple opts for an on-device approach to power these features and has recently acquired French startup Datakalab to bolster the development of its on-device large language model.

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  • Enhance Portraits Using Vivo X100s AI Feature

    Enhance Portraits Using Vivo X100s AI Feature

    Vivo X100s has been the subject of numerous leaks and certifications, building anticipation for its official unveiling. However, the veil of secrecy is beginning to lift.

    Vivo’s X100s Unveiled by Han Boxiao

    The China Product Manager at Vivo, Han Boxiao, has given the green light for the X100s model. While specific details regarding the smartphone’s specifications remain undisclosed, Boxiao did introduce an intriguing camera feature known as "Four Seasons Portrait" mode, as translated from Chinese.

    The innovative mode leverages advanced AI image processing to seamlessly alter the background of portrait photographs to reflect the four distinct seasons: spring, summer, autumn, and winter.

    Transformative Imaging Capabilities

    Boxiao demonstrated images modified using this feature, showcasing how it can imbue portrait shots with unique seasonal aesthetics. Beyond background alterations, the feature intelligently adjusts lighting and shadows on subjects and surroundings to harmonize with the selected season, all powered by Vivo’s AIGC imaging technology.

    Enhance Portraits Using Vivo X100s AI Feature

    Anticipated Specifications and Features

    While not officially confirmed, speculations suggest that the X100s may inherit a camera configuration akin to the Vivo X100 model. This setup is anticipated to include a 50MP f/1.6 primary sensor at the rear, complemented by a 15mm ultra-wide lens and a 70mm periscope telephoto lens, offering a focal range from 15mm to 70mm.

    Recent real-life images of the X100s have hinted at a departure from the curved edge design of its predecessor in favor of a flatter aesthetic. Powering the device will likely be a Dimensity 9300 Plus processor, as indicated by an AnTuTu listing. While battery specifics remain undisclosed, 3C certification hints at potential 120W charging support.

    Launch Details and Rumored Variants

    The launch of the Vivo X100s is expected to take place in May, possibly accompanied by the introduction of the Vivo X100s Pro and X100 Ultra models, expanding the brand’s smartphone lineup.

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  • RealFill: Google’s New AI Image Expansion Trademark

    RealFill: Google’s New AI Image Expansion Trademark

    AI has become a ubiquitous presence in our daily lives, with numerous tech companies unveiling their AI-driven products. Recently, Google filed for a trademark that sheds light on a new project named "RealFill," as disclosed by the European Union Intellectual Property Office (EUIPO) and the US Patent and Trade Office (USPTO).

    RealFill Project Details

    RealFill is not expected to be a downloadable software; mirroring Google’s Magic Editor on Pixel phones, editing processes are performed not on the user’s device but on Google’s own servers, as noted by the Android Authority team.

    This upcoming AI feature bears resemblance to Adobe’s "Generative Fill" feature, but Google seems focused on refining photo quality by eliminating imperfections. Through RealFill, users will have the ability to create entirely new images using five existing photos as a foundation. By training the AI algorithm with these five base images, users can then apply image expansion to their target image.

    Google’s Advanced Image Expansion Algorithm

    Google’s AI algorithm under development aims to enhance image expansion accuracy by leveraging users’ diverse set of images. This approach minimizes the occurrence of unexpected or unrealistic objects during the expansion process, resulting in more authentic image outputs based on users’ reference photos.

    RealFill Limitations and Future Release

    While RealFill has not been publicly launched, it is not without its limitations. Significant disparities between the target image and the reference images provided by the user could lead to undesired outcomes in the final image. Demonstrations of RealFill showcase that the base photos are notably similar, almost resembling different angles of the same scene.

    Various AI-powered image expansion solutions currently exist, but their performance can be inconsistent, occasionally yielding disappointing results. The timeline for Google’s release of RealFill to the public remains uncertain; speculations suggest a potential integration in the Pixel 9 series, although details remain vague at present.

    RealFill: Google's New AI Image Expansion Trademark
    RealFill: Google's New AI Image Expansion Trademark
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  • China Unveils Tiangong: First Fully Electric Humanoid Robot

    China Unveils Tiangong: First Fully Electric Humanoid Robot

    The Beijing Humanoid Robot Innovation Center has introduced the "Tiangong," a humanoid robot capable of running like a human at a speed of 6 kilometers per hour. This achievement is a notable breakthrough in robotics, as Tiangong is the first fully electrically driven humanoid robot in the world to accomplish this feat.

    Tiangong’s Versatile Design

    Tiangong stands at 163 centimeters tall and weighs 43 kilograms, featuring a lightweight structure that enables stable running. It incorporates various visual perception sensors, a high-precision IMU, and 3D vision sensors to effectively navigate its surroundings. Moreover, the robot is equipped with high-precision six-dimensional force sensors for precise force feedback.

    Innovative Motion Learning

    Tiangong employs a novel motion learning technique for humanoid robots known as "State Memory-based Predictive Reinforcement Imitation Learning." This method was instrumental in enabling the robot to run naturally.

    Future Applications and Adaptability

    Developers have highlighted the openness and compatibility of Tiangong, providing open communication interfaces and the flexibility for software, hardware, and functional module expansions. This adaptability ensures the robot’s suitability for a range of application scenarios.

    Tiangong showcased its capabilities by successfully maneuvering slopes and stairs without visual input, demonstrating its ability to adapt to diverse environments. It also displayed agility by adjusting its gait in response to obstacles and uneven terrain.

    The introduction of Tiangong represents a significant leap forward in humanoid robot progress. Its natural running ability opens up possibilities for applications in fields such as search and rescue missions, disaster response, and manufacturing. While further research and development are necessary, Tiangong signifies a promising advancement towards more versatile and adaptable humanoid robots in the future.

    China Unveils Tiangong: First Fully Electric Humanoid Robot
    China Unveils Tiangong: First Fully Electric Humanoid Robot
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  • Google’s New Feature: Speaking Practice for English Learning

    Google’s New Feature: Speaking Practice for English Learning

    If you are finding it challenging to practice conversational English without in-person interactions, Google Search Labs might have a solution for you. According to a recent tweet, a new experimental feature called Speaking Practice has been introduced, leveraging generative AI to assist users in enhancing their English speaking abilities through conversational exercises.

    Users interested in utilizing Speaking Practice must first activate Search Labs in their Google Search app settings. Once this feature is enabled, access to Speaking Practice can be found by selecting "Try an example" within the feature or by translating to or from English on an Android device using Google Search.

    Regional Testing and Expansion

    Currently, Speaking Practice is undergoing testing in countries such as Argentina, Colombia, India, Indonesia, Mexico, and Venezuela. Google has hinted at the potential for expansion to other regions in the future. It is essential to note that the generative AI technology supporting Speaking Practice is still in its developmental stages, which could impact the quality and availability of the feature.

    Conclusion

    In conclusion, Google's Speaking Practice feature aims to provide users with a platform to enhance their English speaking skills through AI-driven conversation practice. By enabling Search Labs and accessing the feature, individuals can engage in interactive exercises to improve their fluency and confidence in spoken English. Keep an eye out for further developments and updates regarding the availability of Speaking Practice in your region.

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  • Chinese Retailers Acquire NVIDIA AI Chips Despite US Restrictions

    Chinese Retailers Acquire NVIDIA AI Chips Despite US Restrictions

    Despite increased restrictions in the US on exporting advanced Nvidia AI chips to China, ten Chinese entities linked to the government have successfully obtained these chips integrated into server products from notable suppliers like Super Micro Computer Inc., Dell Technologies Inc., and Gigabyte Technology.

    According to information examined by Reuters, these acquisitions occurred between November 20 and February 28, subsequent to the US extending export constraints on Nvidia's AI technology to limit Chinese access to sophisticated chip manufacturing technology.

    Chinese Entities Acquiring Nvidia AI Chips

    The purchasers include esteemed organizations such as the Chinese Academy of Sciences, Shandong Artificial Intelligence Institute, and the Hubei Earthquake Administration, along with universities, a technology investment firm owned by a provincial government, a state-owned aviation research center, and a space science center.

    Concerns and Investigations

    These transactions were facilitated through 11 lesser-known Chinese retailers, raising concerns about whether they accessed stockpiles acquired before the US tightened export regulations. Nvidia has clarified that the specified products were exported and available prior to the imposition of restrictions, asserting that the acquisitions do not breach export control regulations. However, experts suggest that chips might have been diverted to China without the manufacturers' awareness due to limited visibility into downstream supply chains.

    US Commerce Department Monitoring

    The US Commerce Department is reportedly monitoring potential diversions of restricted chips and investigating any breaches. Breaching US export controls can lead to severe penalties, including fines and imprisonment.

    Military Implications and Future Scrutiny

    These acquisitions grant China access to advanced chips that could enhance military applications, including defense force modernization and hypersonic missile development. While the quantities obtained were limited, these chips could significantly aid in model training and advanced research. The repercussions of these developments may involve increased government oversight of Nvidia and other tech suppliers to China. Moreover, it underscores the ongoing endeavors by Chinese tech giants to enhance their AI capabilities and move towards locally produced silicon, though the comparison with Nvidia's capabilities remains uncertain.

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  • Microsoft collaborates with Samsung & South Korean tech giants for AI

    Microsoft collaborates with Samsung & South Korean tech giants for AI

    Microsoft is gearing up to convene a meeting with top executives from leading South Korean tech firms during the MS CEO Summit 2024 set for May 14, 2024. The closed-door discussion will host prominent companies including Samsung, SK Hynix, LG Electronics, SK Telecom, and of course, Microsoft.

    Strategic Discussions for AI Development

    The summit presents an opportunity for Microsoft to potentially acquire essential hardware crucial for AI advancements and embed its AI services within the products of these companies. Both Bill Gates and CEO Satya Nadella will engage with the top executives of the South Korean companies, including key figures like Kyung Kye-hyun from Samsung Electronics, Kwak Noh-jung of SK Hynix, Cho Joo-wan representing LG Electronics, and Ryu Young-sang from SK Telecom.

    Strengthening Partnerships for AI Innovation

    The primary focus of the summit will revolve around enhancing partnerships and fostering the growth of artificial intelligence technologies. Notably, discussions with Samsung and SK Hynix may revolve around the provision of high bandwidth memory chips crucial for AI development, given their status as major players in the memory chip market.

    Apart from memory chips, negotiations may also encompass high-performance components like solid-state drives and compute express link drives, essential for large language model development. This shift highlights Microsoft's heightened emphasis on bolstering its AI capabilities through strategic hardware acquisitions.

    Integrating AI Services into Products

    In addition to hardware procurement discussions, Microsoft may explore opportunities to integrate its AI services into the products of partnering companies like Samsung and LG Electronics. This move would not only expand their customer base and product offerings but also strengthen existing collaborations.

    Samsung, for instance, is actively developing new AI accelerators, namely the Mach-1 and Mach-2, slated for mass production. Microsoft could potentially leverage these accelerators in the future, despite Samsung's current reliance on Google's Gemini for Galaxy AI support. Furthermore, SK Telecom's recent $100 million investment in AI startup Anthropic underscores a concerted effort to create large language models tailored for telecom companies.

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  • NVIDIA CEO Jensen Huang Foresees Popular Adoption of Humanoid Robots

    NVIDIA CEO Jensen Huang Foresees Popular Adoption of Humanoid Robots

    In a recent conversation, NVIDIA CEO Jensen Huang discussed his forward-looking perspective on the future, foreseeing a scenario where humanoid robots will soon become ubiquitous across different sectors, bringing about a significant transformation.

    Vision for Mainstream Humanoid Robots

    Huang highlighted that the production costs associated with humanoid robots are poised to be remarkably affordable, comparable to the pricing brackets of budget-friendly automobiles. He suggested a price span of $10,000 to $20,000 for these robots, aiming to make them widely accessible to a diverse consumer base.

    Potential Impact on Industries

    Drawing an analogy to the automotive realm, Huang underscored the adaptability and versatility that robots could offer within specific human-created environments. These robots are envisioned to tackle hazardous, repetitive, or monotonous tasks, ultimately boosting efficiency and safety within workplaces.

    Supporting Huang's perspective, Tesla CEO Elon Musk also mentioned that the manufacturing outlay for the humanoid robot, Optimus, is merely half of what is needed for Tesla electric vehicles. Musk envisioned an initial pricing strategy for Optimus ranging from $25,000 to $30,000, with anticipated price reductions over time.

    Technological Advancements by NVIDIA

    In line with their futuristic outlook, NVIDIA introduced Project GR00T, a foundational model tailored for humanoid robots, and launched Jetson Thor, a robust computing system specially crafted for these robots. Leveraging NVIDIA's Thor system-on-a-chip (SoC), Jetson Thor offers cutting-edge performance, energy efficiency, and a compact form factor, propelling the evolution of humanoid robotics.

    Moreover, NVIDIA's collaborations with prominent humanoid robot firms like 1X Technologies, Agility Robotics, and Boston Dynamics signify a concerted endeavor to build comprehensive AI frameworks for robotics.

    Empowering Developers and Robotics Advancements

    NVIDIA's enhancements to the Isaac platform empower developers to design and deploy sophisticated robots across various settings. Tools such as Isaac Lab for reinforcement learning and OSMO for compute orchestration facilitate the rapid enhancement of robotic capabilities. Furthermore, offerings like Isaac Manipulator and Isaac Perceptor provide pre-trained models and advanced features for robotic arms and self-governing mobile robots.

    Huang's visionary outlook, combined with NVIDIA's technological progress, paints a picture of a future where humanoid robots seamlessly integrate into our daily routines, reshaping industries and augmenting human capabilities.

    (source: NVIDIA)

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