ONNX

Open Invention Network Expands its Patent Non-Aggression Coverage

Retrieved on: 
Tuesday, January 18, 2022
Eclipse, Nix, Google, OSS, ONNX, Library, SUSE, OIN, IBM, SPDX, Container Linux, Progeny Linux Systems, Freedom, Sony, CEO, GLOBE, TVM, Eclipse Paho, Open Invention Network, History, Musl, Mbed TLS, Open, Patent, OVN, OpenEmbedded, NEC, Philips, Policy, Helm, Video game, Linux, Prometheus, Californium

DURHAM, N.C., Jan. 18, 2022 (GLOBE NEWSWIRE) -- Open Invention Network (OIN), the largest patent non-aggression community in history, announced today that it has increased its patent non-aggression coverage through an update to its definition of the Linux System.

Key Points: 
  • DURHAM, N.C., Jan. 18, 2022 (GLOBE NEWSWIRE) -- Open Invention Network (OIN), the largest patent non-aggression community in history, announced today that it has increased its patent non-aggression coverage through an update to its definition of the Linux System.
  • To keep pace with innovation Open Invention Network regularly revises and expands its Linux System coverage.
  • This is the ninth expansion of the software packages and libraries protected under the Open Invention Network cross license.
  • Open Invention Network (OIN) is the largest patent non-aggression community in history and supports freedom of action in Linux as a key element of open source software (OSS).

Artificial Intelligence Platforms Market to Record 32.12% Y-O-Y Growth Rate in 2021 | Alibaba Group Holding Ltd., Alphabet Inc., and Amazon.com Inc. emerge as dominant players | Technavio

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Wednesday, December 22, 2021
Cloud, SAP SE, Artificiality, IBM, Salesforce, Adoption, Technology, Google, WAEG, SE, AWS, DL, Open Neural Network Exchange, ONNX, Microsoft, Google Cloud, Machine learning, USD, Partnership, Commercial bank, SME, Investment, Growth, Alibaba Group, SAS Institute Inc v World Programming Ltd, Maintenance, Amazon (company), Solution, Science and technology in Asia, Infrastructure as a service, Wallace v. International Business Machines Corp., Artificial intelligence, DISH, Ant Group, SpaceX, Intelligence, SAP, FREE, Industrial and Commercial Bank of China, Alphabet Inc., CAGR, Ant, MEA, Online shopping, Video game, Music, Medical device, Facebook, AI

According to the recent market study by Technavio, the Artificial Intelligence Platforms MarketSize is expected to increase by USD 17.29 billion from 2020 to 2025, with an accelerated CAGR of 35%.

Key Points: 
  • According to the recent market study by Technavio, the Artificial Intelligence Platforms MarketSize is expected to increase by USD 17.29 billion from 2020 to 2025, with an accelerated CAGR of 35%.
  • However, the market growth in this region will be slower than the growth of the market in APAC, Europe, and MEA.
  • Download FreeSample Report
    The artificial intelligence platforms market growth in North America will be significant during the forecast period.
  • Artificial Intelligence Platforms Market Trend:
    Increasing interoperability among neural networks:
    AI is increasingly being adopted by businesses across industries to enhance productivity.

OctoML Unveils Next Iteration Of ML Deployment Platform To Scale ML Operations In The Enterprise

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Thursday, December 16, 2021
Cloud, Cortex, CTO, AMD, ResNet, Madrona Venture Group, Computer vision, MLOps, CPU, Intel, YOLO, ARM Cortex-A, Microsoft, GPU, Natural language processing, Inception, ML, Nvidia Jetson, TVM, Oss, History of natural language processing, Silicon, BERT, CEO, Research, NVIDIA, Machine learning, API, CVP, NLP, Microsoft Azure, Google Cloud Platform, TensorFlow, VP, ONNX, Azure, UI, Acceleration, Automation, AWS, Video game console

SEATTLE, Dec. 16, 2021 /PRNewswire/ -- OctoML today announced the latest release of its Machine Learning (ML) Deployment Platform to empower enterprises to scale their ML operations (MLOps).

Key Points: 
  • SEATTLE, Dec. 16, 2021 /PRNewswire/ -- OctoML today announced the latest release of its Machine Learning (ML) Deployment Platform to empower enterprises to scale their ML operations (MLOps).
  • In fact, research shows that nearly two-thirds of models take over a month to deploy into production," said Luis Ceze, CEO, OctoML.
  • A number of OctoML customers are already using the new platform to power their ML model "factories" where trained ML models enter the platform and the output is a package containing that same modelaccelerated across the users' chosen deployment targets.
  • OctoML aims to accelerate model performance while enabling seamless deployment of models across any hardware platform, cloud provider, or edge device.

Expedera Raises $18M Series A Funding to Advance Its Deep Learning Accelerator IP

Retrieved on: 
Thursday, December 9, 2021
Software, Technology, Hardware, Semiconductor, Dai, Darknet, Veteran, Inc., Technology, IP, ONNX, Artificial intelligence, CEO, DLA, Marvell Technology Group, TensorFlow, Solution, Traction, AI, Apache, Mobile phone, Video game console

This brings the total amount raised to over $27 million, and will enable Expedera to speed product development and expand sales and marketing to meet the demand for its high performance and energy-efficient deep learning accelerator (DLA) IP.

Key Points: 
  • This brings the total amount raised to over $27 million, and will enable Expedera to speed product development and expand sales and marketing to meet the demand for its high performance and energy-efficient deep learning accelerator (DLA) IP.
  • Expederas deep learning accelerator IP provides the industrys highest performance per watt, and is scalable up to 128 TOPS with a single core and to PetaOps with multi-core.
  • By licensing its technology as a semiconductor IP, Expedera enables any chip designer to add state-of-the-art AI functionality to their product.
  • Expederas OriginTM deep learning accelerator products are easily integrated, readily scalable, and can be customized to application requirements.

VeriSilicon’s Neural Network Processor IP Embedded in Over 100 AI Chips

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Friday, November 12, 2021
Electronic Design Automation, Semiconductor, Consumer Electronics, Technology, Internet, Hardware, Dai, IDM, GM, Industry, ONNX, IPS, SDK, TensorFlow, NPU, Tensor, IOT, Internet of things, NPU terminology, Artificial intelligence, Television, Fabless manufacturing, Apache, PyTorch, Architecture, Software, AI, IP, Silicon, Human, TOPS, Vivante Corporation, Solution, Internet, ISP, RF, Electronics, Budget, VPU, Tablet, Time, DSP, GPU, Mobile phone, Video game console

VeriSilicon (688521.SH), a leading Silicon Platform as a Service (SiPaaS) company, today announced its neural network processor (the Vivante1 NPU) IP designed for artificial intelligence (AI) applications now features in more than 100 AI chips supplied by 50 licensees.

Key Points: 
  • VeriSilicon (688521.SH), a leading Silicon Platform as a Service (SiPaaS) company, today announced its neural network processor (the Vivante1 NPU) IP designed for artificial intelligence (AI) applications now features in more than 100 AI chips supplied by 50 licensees.
  • VeriSilicons Vivante NPU is a high-performance computer vision and AI processor with scalable, programmable and low-power architecture.
  • As Chinas leading semiconductor IP provider and the seventh-largest globally2, VeriSilicon has six categories of in-house processor technologies, which include the Vivante NPU, graphics processor (GPU), video processor (VPU), digital signal processor (DSP), image signal processor (ISP), and display processor.
  • In addition, VeriSilicon has six types of in-house processor IPs, namely GPU IP, NPU IP, VPU IP, DSP IP, ISP IP and Display Processor IP, and more than 1,400 analog and mixed signal IPs and RF IPs.

Artificial Intelligence Platforms Market size to increase by USD 17.29 Bn | Technavio's Research Insights highlight the Increasing Interoperability among Neural Networks as Key Trend

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Thursday, November 11, 2021
Alphabet Inc., Intelligence, Adoption, MEA, DL, ONNX, Microsoft, Artificial intelligence, USD, Student, SE, Hacking, CAGR, Graphics processing unit, Amazon (company), Investment, Growth, IBM, Research report, AI, SAS Institute Inc v World Programming Ltd, Field-programmable gate array, YOY, Central processing unit, Solution, Application-specific integrated circuit, Open Neural Network Exchange, Nature, AWS, Time, SAP, SAP SE, Risk, FREE, Salesforce, Video game, Marketing, Retail

The global artificial intelligence platforms market is concentrated in nature due to the presence of fewer global and regional players.

Key Points: 
  • The global artificial intelligence platforms market is concentrated in nature due to the presence of fewer global and regional players.
  • www.technavio.com/report/artificial-intelligence-platforms-market-size-i...
    Key Market Trends & Challenges:
    The report identifies the increasing interoperability among neural networks as the major trend influencing the artificial intelligence platforms market.
  • View free sample for highlights on market Trends & Challenges affecting the artificial intelligence platforms market.
  • Global Artificial Intelligence Chips Market Global artificial intelligence chips market is segmented by Product (ASICs, GPUs, CPUs, and FPGAs) and Geography (North America, Europe, APAC, South America, and MEA).

Simio Announces the Release of Version 14.230 and Its Neural Network Features

Retrieved on: 
Wednesday, November 10, 2021
Open Neural Network Exchange, Microsoft Excel, Adoption, AI, Algorithm, Machine learning, ONNX, GLOBE, Pivot table, Mobile phone, 3D printing, Online shopping, Medical device

Simio's ability to train neural networks and support the import and use of ONNX files is the defining feature of the latest version.

Key Points: 
  • Simio's ability to train neural networks and support the import and use of ONNX files is the defining feature of the latest version.
  • Simio is excited to announce these new customer-driven features that include:
    The ability to export error logs.
  • Simio empowers users to create feedforward neural networks directly in Simio without any coding required.
  • Simio enables the training of the developed neural network and the choice of exporting the neural network as an ONNX file.

Cadence Accelerates Intelligent SoC Development with Comprehensive On-Device Tensilica AI Platform

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Monday, September 13, 2021
Technology, Semiconductor, Security, Software, Networks, Internet, Hardware, Electronic Design Automation, Data Management, TensorFlow, Intelligent system, NNA, LSTM, AI, Efficiency, PyTorch, SOC, Environment, ISA, NXP, IOT, IP Group, Software, Nasdaq, Cadence Design Systems, GOPS, PPA, NNE, CDNS, MCU, Hyperscale computing, IP, Solution, Internet, TOPS, ONNX, Multimedia, Align Technology, Memory, Apache MXNet, Fortune, Machine learning, DSP, Life, High fidelity, High society, Copper, Mobile phone, Medical device

Cadence Design Systems, Inc. (Nasdaq: CDNS) today unveiled its Tensilica AI Platform for accelerating AI SoC development, including three supporting product families optimized for varying data and on-device AI requirements.

Key Points: 
  • Cadence Design Systems, Inc. (Nasdaq: CDNS) today unveiled its Tensilica AI Platform for accelerating AI SoC development, including three supporting product families optimized for varying data and on-device AI requirements.
  • Spanning the low, mid and high end, the comprehensive Cadence Tensilica AI Platform delivers scalable and energy-efficient on-device to edge AI processing, which is key to todays increasingly ubiquitous AI SoCs.
  • View the full release here: https://www.businesswire.com/news/home/20210913005259/en/
    The comprehensive Cadence Tensilica AI Platform delivers scalable and energy-efficient on-device to edge AI processing, which is key to todays increasingly ubiquitous AI SoCs in the consumer, mobile, automotive and industrial markets.
  • With our mature, extensible and configurable platform based on our best-in-class Tensilica DSPs and featuring common AI software, Cadence allows AI SoC developers to minimize development costs and meet tight market windows.

ADLINK Launches Edge Vision Analytics (EVA) Software Development Kit (SDK) to Accelerate Edge AI Vision

Retrieved on: 
Wednesday, September 8, 2021

EVA SDK's integrated development environment (IDE) is currently built into ADLINK's NEON series AI smart cameras and EOS series AI vision systems for AI-enabled machine vision project development.

Key Points: 
  • EVA SDK's integrated development environment (IDE) is currently built into ADLINK's NEON series AI smart cameras and EOS series AI vision systems for AI-enabled machine vision project development.
  • "EVA SDK is a one-API framework that lets users build edge AI vision applications with low coding efforts," said Chia-Wei Yang, Head of Edge Vision Business Center, ADLINK.
  • Using EVA SDK, developers can build an AI vision application quickly without AI expertise.
  • ADLINK, an industrial AI vision expert with 25 years of experience in machine vision, continually provides application-oriented, ready-to-develop AI models to manufacturers.