https://insideainews.com/tag/intel-tec/ Illuminating AI's Frontiers: Your Go-To News Destination. Tue, 14 Jan 2020 17:05:40 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/tag/intel-tec/ 32 32 136462205 https://insideainews.com/2020/01/13/oneapi-a-unified-cross-architecture-high-performance-programming-model-designed-to-help-shape-the-future-of-application-development/ https://insideainews.com/2020/01/13/oneapi-a-unified-cross-architecture-high-performance-programming-model-designed-to-help-shape-the-future-of-application-development/#comments Mon, 13 Jan 2020 16:00:31 +0000 https://insidebigdata.com/?p=23824 In this article, we’ll dive into the newly announced oneAPI, a single, unified programming model that aims to simplify development across multiple architectures, such as CPUs, GPUs, FPGAs and other accelerators. The long-term journey is represented by two important first-steps – the industry initiative and the Intel beta product.]]> https://insideainews.com/2020/01/13/oneapi-a-unified-cross-architecture-high-performance-programming-model-designed-to-help-shape-the-future-of-application-development/feed/ 1 23824 https://insideainews.com/2019/09/03/interview-terry-deem-and-david-liu-at-intel/ https://insideainews.com/2019/09/03/interview-terry-deem-and-david-liu-at-intel/#respond Tue, 03 Sep 2019 15:30:43 +0000 https://insidebigdata.com/?p=23195 I recently caught up with Terry Deem, Product Marketing Manager for Data Science, Machine Learning and Intel® Distribution for Python, and David Liu, Software Technical Consultant Engineer for the Intel® Distribution for Python*, both from Intel, to discuss the Intel® Distribution for Python (IDP): targeted classes of developers, use with commonly used Python packages for data science, benchmark comparisons, the solution’s use in scientific computing, and a look to the future with respect to IPD.]]> https://insideainews.com/2019/09/03/interview-terry-deem-and-david-liu-at-intel/feed/ 0 23195 https://insideainews.com/2019/08/26/develop-multiplatform-computer-vision-solutions-with-intel-distribution-of-openvino-toolkit/ https://insideainews.com/2019/08/26/develop-multiplatform-computer-vision-solutions-with-intel-distribution-of-openvino-toolkit/#comments Mon, 26 Aug 2019 15:30:10 +0000 https://insidebigdata.com/?p=23141 Realize your computer vision deployment needs on Intel® platforms—from smart cameras and video surveillance to robotics, transportation, and much more. The Intel® Distribution of OpenVINO™ Toolkit (includes the Intel® Deep Learning Deployment Toolkit) allows for the development of deep learning inference solutions for multiple platforms. ]]> https://insideainews.com/2019/08/26/develop-multiplatform-computer-vision-solutions-with-intel-distribution-of-openvino-toolkit/feed/ 1 23141 https://insideainews.com/2019/08/14/the-ai-opportunity/ https://insideainews.com/2019/08/14/the-ai-opportunity/#respond Wed, 14 Aug 2019 15:30:14 +0000 https://insidebigdata.com/?p=23061 The tremendous growth in compute power and explosion of data is leading every industry to seek AI-based solutions. In this Tech.Decoded video, “The AI Opportunity - Episode 1: The Compute Power Difference,” Vice President of Intel Architecture and AI expert Wei Li shares his views on the opportunities and challenges in AI for software developers, how Intel is supporting their efforts, and where we’re heading next.]]> https://insideainews.com/2019/08/14/the-ai-opportunity/feed/ 0 23061 https://insideainews.com/2019/08/12/fast-track-application-performance-and-development-with-intel-performance-libraries/ https://insideainews.com/2019/08/12/fast-track-application-performance-and-development-with-intel-performance-libraries/#respond Mon, 12 Aug 2019 15:30:25 +0000 https://insidebigdata.com/?p=23087 Intel continues its strident efforts to refine libraries optimized to yield the utmost performance from Intel® processors. The Intel® Performance Libraries provide a large collection of prebuilt and tested, performance-optimized functions to developers. By utilizing these libraries, developers can reduce the costs and time associated with software development and maintenance, and focus efforts on their own application code.]]> https://insideainews.com/2019/08/12/fast-track-application-performance-and-development-with-intel-performance-libraries/feed/ 0 23087 https://insideainews.com/2017/10/31/intels-new-processors-machine-learning-perspective/ https://insideainews.com/2017/10/31/intels-new-processors-machine-learning-perspective/#respond Tue, 31 Oct 2017 15:30:21 +0000 https://insidebigdata.com/?p=19261 https://insideainews.com/2017/10/31/intels-new-processors-machine-learning-perspective/feed/ 0 19261 https://insideainews.com/2017/10/18/building-fast-data-compression-code-cloud-edge-applications/ https://insideainews.com/2017/10/18/building-fast-data-compression-code-cloud-edge-applications/#respond Wed, 18 Oct 2017 15:30:37 +0000 https://insidebigdata.com/?p=19053 Finding efficient ways to compress and decompress data is more important than ever. Compressed data takes up less space and requires less time and network bandwidth to transfer. In this article, we’ll discuss the data compression functions and the latest improvements in the Intel® Integrated Performance Primitives (Intel® IPP) library.]]> https://insideainews.com/2017/10/18/building-fast-data-compression-code-cloud-edge-applications/feed/ 0 19053 https://insideainews.com/2017/10/05/solutions-autonomous-driving-car-cloud/ https://insideainews.com/2017/10/05/solutions-autonomous-driving-car-cloud/#respond Thu, 05 Oct 2017 15:30:24 +0000 https://insidebigdata.com/?p=19007 https://insideainews.com/2017/10/05/solutions-autonomous-driving-car-cloud/feed/ 0 19007 https://insideainews.com/2017/09/20/importance-vectorization-resurfaces/ https://insideainews.com/2017/09/20/importance-vectorization-resurfaces/#respond Wed, 20 Sep 2017 15:30:01 +0000 https://insidebigdata.com/?p=18870 https://insideainews.com/2017/09/20/importance-vectorization-resurfaces/feed/ 0 18870 https://insideainews.com/2017/09/06/julia-high-level-language-supercomputing-big-data/ https://insideainews.com/2017/09/06/julia-high-level-language-supercomputing-big-data/#comments Wed, 06 Sep 2017 15:30:00 +0000 https://insidebigdata.com/?p=18798 Julia is a new language for technical computing that is meant to address the problem of language environments not designed to run efficiently on large compute clusters. It reads like Python or Octave, but performs as well as C. It has built-in primitives for multi-threading and distributed computing, allowing applications to scale to millions of cores. In addition to HPC, Julia is also gaining traction in the data science community.]]> https://insideainews.com/2017/09/06/julia-high-level-language-supercomputing-big-data/feed/ 1 18798