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Cost reduction scenarios described are intended as examples of how a given Intel-based product, in the specified circumstances and configurations, may affect future costs and provide cost savings. Circumstances will vary. Intel does not guarantee any costs or cost reduction. Statements in this document that refer to Intel’s plans and expectations for the quarter, the year, and the future, are forward-looking statements that involve a number of risks and uncertainties. A detailed discussion of the factors that could affect Intel’s results and plans is included in Intel’s SEC filings, including the annual report on Form 10-K. The products described may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. Performance estimates were obtained prior to implementation of recent software patches and firmware updates intended to address exploits referred to as "Spectre" and "Meltdown." Implementation of these updates may make these results inapplicable to your device or system. No license (express or implied, by estoppel or otherwise) to any intellectual property rights is granted by this document. Intel does not control or audit third-party benchmark data or the web sites referenced in this document. You should visit the referenced web site and confirm whether referenced data are accurate. Results have been estimated or simulated using internal Intel analysis or architecture simulation or modeling, and provided to you for informational purposes. Any differences in your system hardware, software or configuration may affect your actual performance. Intel, the Intel logo, Pentium, Celeron, Atom, Core, Xeon, Movidius, Saffron and others are trademarks of Intel Corporation in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others. © 2019 Intel Corporation.
人工智能正在快速进化 通用人工智能 无处不在的 狭义人工智能 大规模应用 早期应用 突破 黎明 Perceptron (1957) Alexnet (2012) Resnet (2015) 创新 YOLO, GNMT (2016) Today BERT GPT-2 (2018) (2019) All products, computer systems, dates, and figures are preliminary based on current expectations, and are subject to change without notice. *Other names and brands may be claimed as the property of others Optimization Notice 大量的 模型和数据集 ◆ 不断扩大的 规模和应用领域 ◆ 人工智能的计算需求 每3个月翻一番 ◆ 系统、软件及硬件 快速进化
六大战略投入加速人工智能发展 先进架构 智能互联 卓越制造 制程 OPEN STANDARDS 封装 10th Gen FPGA 标量 矢量 矩阵 Intel® CoreTM Processor EMIB + “FOVEROS” 空间 10 NM in 2019 + 量子计算 和 神经拟态计算 简化编程 ADVANCED HIGH PERFORMANT FABRICS 10 NM in 2019 内存及存储的革新 OPEN STANDARDS OPEN STANDARDS DAOS 通过 内建安全 所有层级上的安全: 内核, SOC, 板级, 平台 及 软件 标准来培育生态和推动人工智能发展
英特尔加速您的人工智能之旅 发现 Get started faster with community support 数据 合作 Intel® AI AI Builders AI In Production Speed up development with open AI software Tame the deluge with a modern data layer 硬件 数据管理 机器学习 Choice of 50+ Optimized Tools for Data Preparation Intel® Intel® Distribution DAAL for Python* * 学习 AI Developer Program Deliver on the best AI hardware for your needs 软件 社区 咨询 部署 模型 深度学习 * * * Model Zoo & More All products, computer systems, dates, and figures are preliminary based on current expectations, and are subject to change without notice. *Other names and brands may be claimed as the property of others Optimization Notice 传输 Silicon Photonics Ethernet 存储 计算 Omni-Path Fabric