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MindSpore
MindSpore is a open-source software framework for deep learning, machine learning and artificial intelligence developed by Huawei. Overview It has support for custom OpenHarmony-based HarmonyOS NEXT single core framework system built for HarmonyOS, includes an AI system stack that comes with Huawei's built LLM model called PanGu-Σ with full MindSpore framework support. Alongside, OpenHarmony Native device-side AI support for training interface and ArkTS programming interface for its NNRt (Neural Network Runtime) backend configurations via MindSpore Lite AI framework codebase introduced in API 11 Beta 1 of OpenHarmony 4.1. MindSpore platform runs on Ascend AI chips and Kirin alongside other HiSilicon NPU chips. CANN (Compute Architecture of Neural Networks), heterogeneous computing architecture for AI developed by Huawei. With CANN backend in OpenCV DNN, giving developers ability to run created AI models on the Ascend, Kirin and other HiSilicon NPU enabled chips. It support ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Huawei PanGu
Huawei PanGu, PanGu, PanGu-Σ or PanGu-π ( zh, s=盘古大模型, p=pángǔ dà móxíng) is a multimodal large language model developed by Huawei. It was announced on July 7, 2023. The name of the large learning language model, ''PanGu'', was derived from the Chinese mythology and folklore of Pangu, a primordial character related to the creation of the world. History Early development In April 2023, Huawei released a paper detailing the development of PanGu-Σ, a colossal language model featuring 1.085 trillion parameters. Developed within Huawei's MindSpore 5 framework, PanGu-Σ underwent training for over 100 days on a cluster system equipped with 512 Ascend 910 AI accelerator chips, processing 329 billion tokens in more than 40 natural and programming languages. PanGu-Σ incorporates Random Routed Experts (RRE) and the Transformer decoder architecture, allowing easy extraction of sub-models for various applications like conversation, translation, code productio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
HarmonyOS
HarmonyOS (HMOS) ( zh, s=鸿蒙, p=Hóngméng, tr=Vast Mist) is a distributed operating system developed by Huawei for smartphones, tablet computer, tablets, smart TVs, smart watches, personal computers and other smart devices. It has a microkernel design with a single framework: the operating system selects suitable kernels from the abstraction layer in the case of devices that use diverse resources. HarmonyOS was officially launched by Huawei, and first used in Honor (brand), Honor smart TVs, in August 2019. It was later used in Huawei wireless routers, Internet of things, IoT in 2020, followed by smartphones, Tablet computer, tablets and smartwatches from June 2021. From 2019 to 2024, HarmonyOS_version_history#Overview, versions 1 to 4 of the operating system were based on code from the Android (operating system), Android Open Source Project (AOSP) and the Linux kernel; many Android apps could be Sideloading, sideloaded on HarmonyOS. The next iteration of HarmonyOS became ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
HarmonyOS NEXT
HarmonyOS NEXT ( zh, s=鸿蒙星河版, p=Hóngméng Xīnghébǎn) is a proprietary software, proprietary distributed operating system that succeeded the similarly named HarmonyOS, with the main difference that the "Next" operating system was developed by Huawei to support only HarmonyOS Native (computing), native App (file format), apps. Unlike Android-based HarmonyOS versions 1 to 4 (2019-2024) and the global market EMUI operating system, the Next version (starting with HarmonyOS Next 5) does not include the Android Android (operating system), AOSP core and is incompatible with Android applications. HarmonyOS NEXT both discards the common Unix-like Linux kernel and replaces the previous multikernel system with its own bespoke HarmonyOS microkernel. The rich execution environment (REE) version of the HarmonyOS microkernel is placed at its core, with a single framework as kernel mode. The operating system shares lineage with the lightweight LiteOS real-time operating system for r ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
HiSilicon
HiSilicon ( zh, c=海思, p=Hǎisī) is a Chinese fabless semiconductor company based in Shenzhen, Guangdong province and wholly owned by Huawei. HiSilicon purchases licenses for CPU designs from ARM Holdings, including the ARM Cortex-A9 MPCore, ARM Cortex-M3, ARM Cortex-A7 MPCore, ARM Cortex-A15 MPCore, ARM Cortex-A53, ARM Cortex-A57 and also for their Mali (GPU), Mali graphics cores. HiSilicon has also purchased licenses from Vivante Corporation for their GC4000 graphics core. HiSilicon is reputed to be the largest domestic designer of integrated circuits in China. In 2020, the United States instituted rules that require any American firms providing equipment to HiSilicon or non-American firms who use American technologies or IPR (such as TSMC) that supply HiSilicon to Entity List, have licenses as part of the China-United States trade war, ongoing trade dispute, and Huawei announced it will stop producing its Kirin chipsets from 15 September 2020 onwards due to this disruptio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Comparison Of Deep Learning Software
The following tables compare notable software frameworks, libraries, and computer programs for deep learning applications. Deep learning software by name Comparison of machine learning model compatibility See also * Comparison of numerical-analysis software * Comparison of statistical packages * Comparison of cognitive architectures *List of datasets for machine-learning research *List of numerical-analysis software Listed here are notable end-user computer applications intended for use with numerical or data analysis: Numerical-software packages * Analytica is a widely used proprietary software tool for building and analyzing numerical models. It is a de ... References {{reflist, 33em * Deep learning frameworks ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
OpenHarmony
OpenHarmony (OHOS, OH) is a family of open-source distributed operating systems based on HarmonyOS derived from LiteOS, donated the L0-L2 branch source code by Huawei to the OpenAtom Foundation. Similar to HarmonyOS, the open-source distributed operating system is designed with a layered architecture, consisting of four layers from the bottom to the top: the kernel layer, system service layer, framework layer, and application layer. It is also an extensive collection of free software, which can be used as an operating system or in parts with other operating systems via Kernel Abstraction Layer subsystems. OpenHarmony supports various devices running a mini system, such as printers, speakers, smartwatches, and other smart device with memory as small as 128 KB, or running a standard system with memory greater than 128 MB. The system contains the basic and some advanced capabilities of HarmonyOS such as DSoftBus technology with distributed device virtualization platform, tha ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Huawei
Huawei Technologies Co., Ltd. ("Huawei" sometimes stylized as "HUAWEI"; ; zh, c=华为, p= ) is a Chinese multinational corporationtechnology company in Longgang, Shenzhen, Longgang, Shenzhen, Guangdong. Its main product lines include telecommunications equipment, consumer electronics, electric vehicle self-driving car, autonomous driving systems, and rooftop solar power products. The company was founded in Shenzhen in 1987 by Ren Zhengfei, a veteran officer of the People's Liberation Army (PLA). Initially focused on manufacturing stored program control, phone switches, Huawei has expanded to more than 170 countries to include building telecommunications network infrastructures, providing equipment, operational and consulting services, and manufacturing communications devices for the consumer market. It overtook Ericsson in 2012 as the largest telecommunications equipment manufacturer in the world. Huawei surpassed Apple Inc., Apple and Samsung Electronics, Samsung, in 2018 a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Deep Learning
Deep learning is a subset of machine learning that focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data. The adjective "deep" refers to the use of multiple layers (ranging from three to several hundred or thousands) in the network. Methods used can be either supervised, semi-supervised or unsupervised. Some common deep learning network architectures include fully connected networks, deep belief networks, recurrent neural networks, convolutional neural networks, generative adversarial networks, transformers, and neural radiance fields. These architectures have been applied to fields including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis, c ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
CUDA
In computing, CUDA (Compute Unified Device Architecture) is a proprietary parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs. CUDA was created by Nvidia in 2006. When it was first introduced, the name was an acronym for ''Compute Unified Device Architecture'', but Nvidia later dropped the common use of the acronym and now rarely expands it. CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications. CUDA is designed to work with programming languages such as C, C++, Fortran, Python and Julia. This accessibility makes ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Keras
Keras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into the TensorFlow library, and later added support for more. "Keras 3 is a full rewrite of Keras nd can be usedas a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with one codebase." Keras 3 will be the default Keras version for TensorFlow 2.16 onwards, but Keras 2 can still be used. History The name 'Keras' derives from the Ancient Greek word κέρας (Keras) meaning 'horn'. Designed to enable fast experimentation with deep neural networks, Keras focuses on being user-friendly, modular, and extensible. It was developed as part of the research effort of project ONEIROS (Open-ended Neuro-Electronic Intelligent Robot Operating System), and its primary author and maintainer is François Chollet, who ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
TensorFlow
TensorFlow is a Library (computing), software library for machine learning and artificial intelligence. It can be used across a range of tasks, but is used mainly for Types of artificial neural networks#Training, training and Statistical inference, inference of Neural network (machine learning), neural networks. "It is machine learning software being used for various kinds of perceptual and language understanding tasks" – Jeffrey Dean, minute 0:47 / 2:17 from YouTube clip It is one of the most popular deep learning frameworks, alongside others such as PyTorch. It is free and open-source software released under the Apache License 2.0. It was developed by the Google Brain team for Google's internal use in research and production. The initial version was released under the Apache License 2.0 in 2015. Google released an updated version, TensorFlow 2.0, in September 2019. TensorFlow can be used in a wide variety of programming languages, including Python (programming language), P ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Differentiable Programming
Differentiable programming is a programming paradigm in which a numeric computer program can be differentiated throughout via automatic differentiation. This allows for gradient-based optimization of parameters in the program, often via gradient descent, as well as other learning approaches that are based on higher-order derivative information. Differentiable programming has found use in a wide variety of areas, particularly scientific computing and machine learning. One of the early proposals to adopt such a framework in a systematic fashion to improve upon learning algorithms was made by the Advanced Concepts Team at the European Space Agency in early 2016. Approaches Most differentiable programming frameworks work by constructing a graph containing the control flow and data structures in the program. Attempts generally fall into two groups: * Static, compiled graph-based approaches such as TensorFlow,TensorFlow 1 uses the static graph approach, whereas TensorFlow 2 uses the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
