Learn the latest in Intel IT’s approach to fault detection for factory equipment.

For many years, Intel IT has utilized a standard infrastructure with Industrial Internet of Things (IIoT) sensors and Intel IoT Gateways for various applications on the factory [See the full post…]

Transformer models are the powerful neural networks that have become the standard for delivering advanced performance behind these innovations. But there is a challenge: Training these deep learning models at scale and doing inference on them requires a large amount [See the full post…]

The accelerator landscape has been rapidly changing over the past decade, and as super computers come online, they face the challenge of supporting the latest and greatest accelerators. Through use of C++. Kokkos and SYCL, the engineers working on the [See the full post…]

ChatGPT, DALL-E, Stable Diffusion and other generative AI have rapidly captivated the public. They provide new, easy ways, to create new content based on AI models that have been trained on large, public data sets. How does this technology work? [See the full post…]

Parallel programming models are often used on large scale systems, with huge datasets and a large amount of obvious parallelism. In this podcast, Tony talks to two university students that are building a chat bot using consumer hardware and standard [See the full post…]

One of the greatest challenges to using AI/ML in industry is reducing your time to solution so that your data scientist and engineers have a chance to iterate. Setting up a machine learning pipeline from scratch can be a complexity [See the full post…]

The Argonne Leadership Computing Facility (ALCF) and Intel are working together on Aurora, an Exascale supercomputer. As the ALCF and Intel prepare for Aurora, we consider how we will use this Exascale system to support AI for Science. Learn about [See the full post…]

The Argonne Leadership Computing Facility (ALCF) and Intel are working together on Aurora, an Exascale supercomputer. As the ALCF and Intel prepare for Aurora, learn about the convergence of High Performance Computing (HPC), Artificial Intelligence (AI) and big data analytics. [See the full post…]

As AI continues to play an ever-increasing role in applications and decision-making, the challenges facing developers of these AI workloads continue to expand higher and higher. Through this talk, gain a deeper understanding of the current landscape and challenges facing [See the full post…]

The exponential growth of data generation and the need for it’s storage is driving the next phase of innovation in data storage. Scientists are now able to store information as molecules of DNA, which both scalable and accurate. With the [See the full post…]

Scientific visualization (SciVis) is a process of representing raw scientific data as images, which helps scientists improve their interpretations of large data sets. More and more, advanced visualization tools are becoming an integral part of a researcher’s analysis toolkit; and [See the full post…]

Despite its tough challenges, our global pandemic has opened the door to big opportunities, ushering in incredible innovation in visual effects and the discovery of amazing talent regardless of location. Real-time technology and tools, machine learning and artificial intelligence, and [See the full post…]

Open standards underpin the future of heterogeneous programming, and as Intel Principal Engineer Jeff Hammond points out, SYCL has proven in many ways that “standards don’t cost you a thing and you get portability.” A modern C++ language, SYCL has [See the full post…]

Increased processing power, massive amounts of data, and the development of more advanced algorithms have brought deep learning to the forefront, and TensorFlow has emerged as one of the world’s most popular machine learning frameworks. Penporn Koanantakool, Google Senior Software [See the full post…]

Data scientists spend 60% of their time cleaning and preprocessing data, transforming this dirty data into crystallized insights. Dataframes, such as Pandas, provide exceptional tooling to address data wrangling tasks, yet Pandas themselves increasingly lack ease and speed as they [See the full post…]

Is oneAPI living up to its promise? How do oneAPI and DPC++ relate to the Khronos Group SYCL and ISO C++ standards? Andrew Richards, Codeplay Software CEO, and Hal Finkel, Lead for Compiler Technology and Programming Languages at Argonne National [See the full post…]

Ronan Keryell, principal software engineer at Xilinx, and Jeff Hammond, principal engineer at Intel, explain why open collaboration — modeled through open source and open standards — is key to solving some of today’s biggest challenges in research and industry, [See the full post…]

In this Intel Conversations in the Cloud audio podcast: Vangel Bojaxhi, Global AI & HPC Director at Inspur, joins Conversations in the Cloud to discuss AI Inferencing applications and Inspur’s new solution. Vangel describes the collaboration between Intel and [See the full post…]

In this episode of Code Together, Geoff Lowney, Senior Fellow at Intel, and Andrew Richards, CEO at Codeplay Software, discuss the value of standards in enabling hardware and software developers to collaborate and innovate. From the early days of video [See the full post…]

Intel Chip Chat – Network Insights audio podcast with Allyson Klein: Video encoding has evolved dramatically from the old way of doing things – which relied on dedicated HW that was suitable for the live TV broadcast industry – [See the full post…]

In this Intel Conversations in the Cloud audio podcast: Join Conversations in the Cloud for this special edition with VMware’s Pratap Subrahmanyam, a Fellow at VMware since 2013, and Jake Smith, Intel’s Director of Data Center Technologies Marketing to [See the full post…]

Intel Chip Chat – Network Insights audio podcast with Allyson Klein: Rajesh Gadiyar, Vice President and CTO of the Network Platform Group at Intel, joins Intel Chip Chat Network Insights in this archive of a livecast from Mobile World [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: In this episode of Chip Chat, Nelly Porter, Senior Product Manager for Google Cloud, joins us to discuss Confidential Computing and why Google is delivering this service to its [See the full post…]

Open Source Voices: In this episode, we talk to Varalakshmi (“Lakshmi”) T R, senior engineering manager at Intel, and Conrad Lo, product manager at Google, about how their teams are charting a path to exciting new form factors in [See the full post…]

Intel Chip Chat – Network Insights audio podcast with Allyson Klein: Pal Gronsund, Senior Research Scientist at Telenor ASA, joins Intel Chip Chat Network Insights from SDN NFV World Congress at The Hague to discuss virtualization and automation [See the full post…]