During, Huawei Developer Conference 2021 (Cloud) in China. During the event, the company released MindSpore 1.2, the first domestic AI computing framework that supports large model training with hundreds of billions of parameters.
The latest version 1.2 brings three major innovations in the field of AI frameworks, “automatic parallelism, full-scenario AI, and interpretable recommendation model”, allowing developers to enjoy AI development.
MindSpore realizes the rapid application, efficient operation, and effective collaboration of hardware devices in different scenarios of cloud, edge, and end. With the full-scenario AI capability, the recognition rate of Huawei Watch GT’s wrist lift has been increased by 80%, the delay is less than 5ms, and the model is less than 1KB, which greatly improves the user experience.
- In the cloud: through adaptive model segmentation and distributed parallel scheduling technology in the service, it can support the inference deployment of super-large models on multiple accelerator cards, and the inference performance is improved by 30% compared with the current industry-leading serving service mode;
- On the edge side: Through adaptive model compression technology, the CV (Computer Vision) model is compressed by 2/3, the reasoning time is shortened by 50%, and the measured accuracy loss on the user side is <1%, which can effectively solve the computing power bottleneck on the edge side;
- On the end side: the model is the code, and the model is compiled into the code to achieve a very small ROM (Read-Only Memory) occupancy. At the same time, the operator data rearrangement technology is used to increase the end-side cache hit rate, which can reduce the reasoning delay and solve the problem of device type and memory limitations when deploying ultra-lightweight IoT devices.
Fully automatic parallel
MindSpore is the industry’s first fully automatic parallel framework based on network topology and cluster resource automatic perception. Based on the fully automatic parallel capability, it has developed the industry’s first 200 billion Chinese pre-training model with parameters.
In the static graph mode, MindSpore integrates three parallel technologies: pipeline parallelism, model parallelism, and data parallelism. Developers only need to write single-machine algorithm code and add a small number of parallel tags to realize automatic segmentation of the training process and make the parallel algorithm performance. The tuning time has been reduced from monthly to hourly, and training performance has increased by 40% compared to industry benchmarks.
In the dynamic graph model, MindSpore’s unique functional differential design can be easily extended from the first-order differential to the high-order differential, and the performance of the entire graph is optimized to greatly improve the performance of the dynamic graph; combined with innovative communication operator fusion and multi-streaming Parallel mechanism, compared with other AI frameworks, MindSpore dynamic graph performance is improved by 60%.
Huawei affirms that MindSpore is the industry’s first fully automatic parallel framework based on network topology and cluster resource automatic sensing. It has developed the industry’s first 200 billion Chinese pre-training model based on fully automatic parallel capabilities.
According to Huawei, In a typical neural network for natural language processing (NLP), MindSpore has 20% fewer lines of core code than leading frameworks on the market, and it helps developers raise their efficiency by at least 50%.
Additionally, MindSpore helps ensure user privacy because it only deals with gradient and model information that has already been processed. It doesn’t process the data itself, so private user data can be protected even in cross-scenario environments. In addition, MindSpore has built-in model protection technology to ensure that models are secure and trustworthy.
The MindSpore AI framework is adaptable to a series of scenarios and provides on-demand cooperation between them. Its “AI Algorithm As Code” design concept allows developers to develop advanced AI applications with ease and train their models more quickly.
MindSpore built-in the industry’s first semantic-level interpretable recommendation model TB-Net, based on the original knowledge map bidirectional transmission technology, from the massive relationship paths of the knowledge map, accurately identify the core features and key paths that affect user behavior, and provide personalized recommendations and semantics Level interpretation, the interpretability evaluation index is 63% higher than the industry model.
Since the open source in March 2020, the MindSpore community has more than 170,000 developers and more than 240,000 software downloads, which are used in more than 10 industries. In addition, MindSpore ranks first in terms of code activity, influence, community activity, team building, and fashion trends on Gitee. At present, MindSpore is the fastest growing AI open source community.
(Source – Huawei)
Huawei Vehicle 3D information tech can be used for smart driving, connected vehicles, and IoV
Today, Huawei shared a Vehicle 3D information patent that will bring more accuracy during information acquisition. This patent entitled “Method and Device for Obtaining Vehicle 3D Information” has been approved by the intellectuals.
According to China Intellectual Property Database, Huawei has applied for this vehicle 3D information patent in March 2020. After clearing all examination stages, it has been published with the publication number is CN113435224A in China.
Coming to the patent document, the described method will be suitable for the Internet of Vehicles (IoV). Its application scenario includes smart driving, AI connected vehicles, connected smart cars, and more.
Now, let’s move to the method descriptions-
In this method, the essential part includes the observing modules and the target object. At first, the observing module determines the outlines for the target and then predicts the observation or heading angle of the object using previously acquired information.
Therefore, the vehicle system all necessary info of the observation angle or directing angle of the target vehicle. Furthermore, it improves the accuracy of vehicle 3D information retrieval and higher safety measurements.
Three days ago Huawei shares the solar battery patent for smart cars. When the solar battery size expands it reduces the resistance effect of the thin film. The company applied for the patent on 26th May and publishes it with the announcement number CN113421977A. (Read Full Story Here)
Yunsheng – Huawei’s first virtual human [Video]
At Huawei Connect 2021, Zhang Ping’an, CEO of Huawei CLOUD and President of Huawei Consumer Cloud Service spoke about Huawei Cloud, officially announced the first virtual human, Yunsheng. That’s not it, Yunsheng joined Huawei Cloud as the first virtual human employee. Zhang introduced Yunsheng under Huawei CLOUD’s digital content product line.
According to the information, in the YunSheng word, the Shen part of the word sounds sheng and derived from traditional Chinese. The meaning of this word translates as a musical instrument.
Huawei has developed YunSheng by using AI Automatic modeling, AI Voice drive, and AI rendering acceleration. These three technologies helped Huawei to form a perfect virtual human. During the official introduction, Yunsheng introduced Huawei Cloud use cases in a different and funky manner.
Aside from this information, Huawei has not revealed any additional aspect of the work of YunSheng in the company. However, you can check the complete video demonstration of Huawei’s first virtual human at the video linked below.
Previously, we brought you LYSA, as Huawei’s first virtual person. However, she didn’t announce by the company at any official stage compared to YunSheng.
LYSA is a female character that is designed with digital art consisting of illustration, modeling, digital rendering & high-precision automated generation, and more.
Similar to YunSheng, the characteristic of the model, it looks very lively and the skin texture, expression, eye materials as well as animations feel very real.
Huawei 100W super fast charging launched, recharge battery under 20 minutes
Huawei launched its first phone with 100W super-fast charging – Nova 9 Pro. According to the information, the latest Huawei 100W charger could recharge the 4000mAh battery of this phone in under 20 minutes, faster than ever before.
Huawei self-developed 100W fast-charging solutions that have powerful intelligent computing output. Combined with 5C high-power single cell, multi-electrode combination technology, high energy density, and low discharge loss, this 100W charger brings you a lightning-like charging experience.
The latest charging capability for this Huawei 100W brick charges around 75% faster than Huawei Nova 8 Pro that has a 66W Super charge and comes with the same capacity battery.
This charger supports maximum super-fast charging 20V/5A, compatible with 11V/6A or 10V/4A or 10V/2.25A or 4.5V/5A or 5V/4.5A super-fast charging, compatible with 9V/2A fast charging.
On the other hand, the 66W charger supports 11V/6A super fast charge, compatible with 10V/4A or 10V/2.25A or 5V/4.5A super fast charge, compatible with 9V/2A fast charge.
The Nova 9 Pro uses a dual VC + ultra-high thermal conductivity graphene three-dimensional heat dissipation system. The heat dissipation capacity is increased by 6% compared with the previous generation.
The new solution can quickly sense the heating area and immediately cool down. The superheat dissipation ability allows you to feel the continuous calm and comfortable playing experience, which helps to keep the phone cool down while taking photos, videos, and playing games.