Generating high-quality, temporally continuous videos requires a significant amount of computational resources, especially for longer time spans. The latest Diffusion Transformer model (DiTs) has made significant progress in video generation, but its reliance on larger models and more complex attention mechanisms has resulted in slower inference speeds, exacerbating the challenge. To address this issue, researchers at Meta AI have proposed a training-free method called AdaCache to accelerate video DiTs.

On October 31, ByteDance quietly launched an AI model sharing community platform called 'Lumi'. The platform is reported to offer features such as model upload and sharing, workflow building, and LoRA training. It is currently in the internal testing phase and is only accessible to whitelisted users.

Beijing Aishi Technology Co., Ltd. has announced the global release of its latest version of the video generation large model, PixVerse V3. This version has made significant improvements in its underlying model capabilities, offering multimodal generation abilities and a wealth of AI features, including creative templates, lip synchronization, story continuation, and style transformation.

In recent years, non-destructive imaging technology has made rapid advancements in the field of painting research and preservation. Among these, macro X-ray fluorescence (MA-XRF) analysis stands out, helping experts identify pigments and analyze painting techniques, providing valuable insights into the artist's creative process. However, MA-XRF technology generates large and complex datasets that challenge traditional data analysis methods. Recently, Italian researchers applied deep learning algorithms to spectral analysis of MA-XRF datasets, developing a brand new analysis approach.

Tencent Cloud and Xiaomi have collaborated to launch the new Smart Lock M30 Pro. This product utilizes Tencent's 'palm scanning technology' that leverages AI recognition capabilities of palm prints and palm veins, providing users with a novel and convenient way to unlock securely. This technology is based on Tencent's proprietary 'palm print + palm vein' recognition algorithm, which captures images of the veins beneath the palm skin using near-infrared light for high-precision identity verification. Since every individual's palm vein pattern is unique, this technology not only enhances the convenience of unlocking but also significantly increases security.

According to 36Kr, Xiaomi's automotive autonomous driving team recently completed a new round of organizational restructuring, marking the entry of Xiaomi's autonomous driving business into a new acceleration phase. The original two secondary departments, 'Perception' and 'Control', have been merged into the 'End-to-End Algorithm and Function Department', responsible for production-ready solution development. This change indicates that Xiaomi's autonomous driving will shift from traditional modular development to the technological route of large end-to-end models. The restructuring of Xiaomi's autonomous driving business and the shift in technological direction aim to capture user mindset and maintain high sales.

Recently, the AI assistant Flow officially released version 2.0, introducing the new 'Featured Content' and 'Discover' sections that provide users with more intelligent and personalized high-quality content services. These features demonstrate the practical value of artificial intelligence platforms in both life and work, especially in addressing users' confusion and needs. With the continuous maturity of large model technology, Flow offers users a richer variety of information in graphic, text, and Q&A formats through AI Native Content (AINative). The new version's 'Featured Content'

With the rise of generative AI, the prompt trading market is rapidly expanding. However, current trading platforms, exemplified by PromptBase, are predominantly seller-driven in pricing and lack objective price measurement standards. In response to this challenge, the multimedia and intelligent security team at Fudan University has proposed an innovative prompt trading model aimed at better adapting to a future buyer-driven market. This new trading model consists of two main phases: prompt category selection and pricing strategy formulation. In the first phase, the platform employs a greedy search-based multi-armed bandit algorithm to...

Within the complex neural networks of the human brain, billions of neurons are continuously generating electrical activity, encoding our every thought, action, and sensation. The complexity of this neural symphony has long been a significant challenge in brain-computer interface (BCI) research. However, researchers at the University of Southern California (USC) have recently made a major breakthrough by developing a novel artificial intelligence algorithm called DPAD (Decoupled Prioritized Dynamic Analysis), which promises to fundamentally change the way we interpret brain activity. Image Source Note: Image generated by AI, image licensed by provider M

At the 'All-In Summit 2024', Google co-founder and former Alphabet president Sergey Brin expressed his excitement about the latest advancements in AI and stated that he is working at Google almost every day. Brin confirmed his return to Google's headquarters last year to participate in AI projects, emphasizing the value of the rapid development in the AI field. He noted that algorithm improvements may have already surpassed the increase in computational power requirements, maintaining an optimistic view on AI and believing that future AI model training will not require a significant increase in computational capabilities. Brin's return has implications for Google's future development and AI.

Yunzhisheng Intelligent Technology Co., Ltd. has recently launched an automatic live streaming system called 'Blue Algae AI Broadcasting', aimed at addressing multiple pain points in the live streaming industry through artificial intelligence technology. This system is based on Yunzhisheng's Shanhai Large Model and advanced human-like AI voice technology, enabling 24-hour continuous broadcasting, significantly reducing live streaming costs while enhancing interactivity and viewer experience.

LG will showcase its first smart home hub ThinQ ON at the IFA 2024 technology fair. This hub integrates artificial intelligence technology, allowing it to connect and control LG appliances and third-party devices, supporting Thread, Matter, and Wi-Fi. The ThinQ ON features a compact and rounded design, doubling as a smart speaker with an integrated LG AI voice assistant that can understand natural language, interpret context, and learn user preferences to provide a personalized experience. The device is powered by a self-developed AI chipset and supports Matter certification.

LG announced the launch of its first dedicated smart home hub - ThinQ ON - ahead of IFA 2024. This compact, round white hub functions as a smart speaker and is equipped with an AI voice assistant. ThinQ ON uses advanced AI technology to control LG appliances and other smart home devices via Matter, Thread, and Wi-Fi connections, allowing for monitoring of device usage and personalized adjustments. Its Matter certification ensures compatibility with various network connections and compatibility with LG and third-party devices, enhancing the user experience.

LG Electronics has announced a $10 million investment in the newly established Alpha Intelligence Fund by SBVA, aiming to promote the development of AI and deep technology startups. The fund has a total size of $130 million and is managed by SBVA, which was previously part of SoftBank Group's SoftBank Ventures and is now operating independently. LG's investment aims to share trends in innovative technology, enhance its own AI capabilities, and collaborate with high-growth potential startups in AI, deep technology, and robotics to explore future business opportunities. Through this move, LG...