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General Matrix Multiplication (GEMM) is a vital part of many applications and algorithms, and is also one of the important indicators for evaluating computer hardware performance. In-depth research and optimization of the implementation of GEMM can help us better understand high-performance computing and the relationship between software and hardware systems. In computer science, effective optimization of GEMM can increase computing speed and save resources, which is crucial to improving the overall performance of a computer system. An in-depth understanding of the working principle and optimization method of GEMM will help us better utilize the potential of modern computing hardware and provide more efficient solutions for various complex computing tasks. By optimizing the performance of GEMM

On July 29, at the roll-off ceremony of AITO Wenjie's 400,000th new car, Yu Chengdong, Huawei's Managing Director, Chairman of Terminal BG, and Chairman of Smart Car Solutions BU, attended and delivered a speech and announced that Wenjie series models will be launched this year In August, Huawei Qiankun ADS 3.0 version was launched, and it is planned to successively push upgrades from August to September. The Xiangjie S9, which will be released on August 6, will debut Huawei’s ADS3.0 intelligent driving system. With the assistance of lidar, Huawei Qiankun ADS3.0 version will greatly improve its intelligent driving capabilities, have end-to-end integrated capabilities, and adopt a new end-to-end architecture of GOD (general obstacle identification)/PDP (predictive decision-making and control) , providing the NCA function of smart driving from parking space to parking space, and upgrading CAS3.0

This paper explores the problem of accurately detecting objects from different viewing angles (such as perspective and bird's-eye view) in autonomous driving, especially how to effectively transform features from perspective (PV) to bird's-eye view (BEV) space. Transformation is implemented via the Visual Transformation (VT) module. Existing methods are broadly divided into two strategies: 2D to 3D and 3D to 2D conversion. 2D-to-3D methods improve dense 2D features by predicting depth probabilities, but the inherent uncertainty of depth predictions, especially in distant regions, may introduce inaccuracies. While 3D to 2D methods usually use 3D queries to sample 2D features and learn the attention weights of the correspondence between 3D and 2D features through a Transformer, which increases the computational and deployment time.

On April 11, Huawei officially announced the HarmonyOS 4.2 100-machine upgrade plan for the first time. This time, more than 180 devices will participate in the upgrade, covering mobile phones, tablets, watches, headphones, smart screens and other devices. In the past month, with the steady progress of the HarmonyOS4.2 100-machine upgrade plan, many popular models including Huawei Pocket2, Huawei MateX5 series, nova12 series, Huawei Pura series, etc. have also started to upgrade and adapt, which means that there will be More Huawei model users can enjoy the common and often new experience brought by HarmonyOS. Judging from user feedback, the experience of Huawei Mate60 series models has improved in all aspects after upgrading HarmonyOS4.2. Especially Huawei M

Recently, Huawei announced that it will launch a new smart wearable product equipped with Xuanji sensing system in September, which is expected to be Huawei's latest smart watch. This new product will integrate advanced emotional health monitoring functions. The Xuanji Perception System provides users with a comprehensive health assessment with its six characteristics - accuracy, comprehensiveness, speed, flexibility, openness and scalability. The system uses a super-sensing module and optimizes the multi-channel optical path architecture technology, which greatly improves the monitoring accuracy of basic indicators such as heart rate, blood oxygen and respiration rate. In addition, the Xuanji Sensing System has also expanded the research on emotional states based on heart rate data. It is not limited to physiological indicators, but can also evaluate the user's emotional state and stress level. It supports the monitoring of more than 60 sports health indicators, covering cardiovascular, respiratory, neurological, endocrine,

The benefits brought by the integration of PHP framework and CMS are: 1. Improve development efficiency; 2. Enhance security; 3. Simplify content management; 4. Flexibility. In a practical case, the Laravel framework was integrated with WordPressCMS to create a blog website with customized functions. The integration steps include creating a Laravel application, installing WordPress, configuring WordPress, creating a controller, defining routing, obtaining WordPress data, and in the Laravel view Display Data.

Written above & The author’s personal understanding is that image-based 3D reconstruction is a challenging task that involves inferring the 3D shape of an object or scene from a set of input images. Learning-based methods have attracted attention for their ability to directly estimate 3D shapes. This review paper focuses on state-of-the-art 3D reconstruction techniques, including generating novel, unseen views. An overview of recent developments in Gaussian splash methods is provided, including input types, model structures, output representations, and training strategies. Unresolved challenges and future directions are also discussed. Given the rapid progress in this field and the numerous opportunities to enhance 3D reconstruction methods, a thorough examination of the algorithm seems crucial. Therefore, this study provides a comprehensive overview of recent advances in Gaussian scattering. (Swipe your thumb up

The GPT-4o model released by OpenAI is undoubtedly a huge breakthrough, especially in its ability to process multiple input media (text, audio, images) and generate corresponding output. This ability makes human-computer interaction more natural and intuitive, greatly improving the practicality and usability of AI. Several key highlights of GPT-4o include: high scalability, multimedia input and output, further improvements in natural language understanding capabilities, etc. 1. Cross-media input/output: GPT-4o+ can accept any combination of text, audio, and images as input and directly generate output from these media. This breaks the limitation of traditional AI models that only process a single input type, making human-computer interaction more flexible and diverse. This innovation helps power smart assistants
