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…]

Adoption of Python has been enormous over the last decade. Why? It’s easy to use, accessible, versatile and can be used for AI, machine learning, data analytics, data visualization, and all types of science. Tune into how 3 experts are [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…]

In this Intel Conversations in the Cloud audio podcast: Alok Mishra, founder of Wesense, joins host Jake Smith to talk about how the company, in partnership with Wipro, developed Clearhealth—a safety compliance product for COVID-19 in India that combines [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Balaji Iyer, Principal of Product Management at Intel, joins Chip Chat with host Allyson Klein to talk about his work with various Intel partners to develop proof-of-concept projects that [See the full post…]

In this Intel on AI podcast episode: As customers realize the importance of adopting artificial intelligence (AI) throughout their business there can be many challenges to overcome. Hurdles like identifying the pertinent business problems, defining success criteria, evaluating technologies, [See the full post…]

IT Best Practices: Intel factories are using the Intel Distribution of OpenVINO toolkit to streamline deep-learning integration with the factories’ computer vision automatic defect-classification systems.

Intel factories have been using computer vision for over a decade to automate defect [See the full post…]

In this Intel on AI podcast episode: 4G/ LTE network is a preferred method of information transfer today and is becoming more and more crucial in our extremely connected lives. To keep up with the ever-increasing volume of traffic, [See the full post…]

In this Intel on AI podcast episode: Healthcare workloads, particularly in medical imaging, require more memory usage than other AI workloads because they often use higher resolution 3D images. Deep learning (DL) models developed from these data sets require [See the full post…]

In this Intel on AI podcast episode: One of the biggest challenges manufacturing operations face when adopting digitalization and intelligence is the cost and complexity to instrument existing machines, connect them to a network, and deploy relevant software. This [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Deep learning workloads have evolved considerably over the last few years. Today’s models are larger, deeper, and more complex than neural networks from even a few years ago, with [See the full post…]

In this Intel on AI podcast episode: Many large enterprises need more accuracy and atomization for planning and purchasing. Yet, when generating and analyzing such a massive volume of data, the algorithms use an enormous amount of memory and [See the full post…]

In this Intel on AI podcast episode: There is growing need for digital health solutions to improve accessibility and affordability of medical resources to add value for care providers and improve healthcare outcomes for patients. Xuefeng Zhang, the Chief [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: This is the moment for AI at the edge. That’s the view of Fabrizio Del Maffeo, Vice President and Managing Director for AAEON Technology Europe. He spoke with Chip [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Wei Li, Vice President of Intel Architecture, Graphics and Software, and General Manager of Machine Learning and Translation at Intel, joins Chip Chat to share Intel’s overarching strategy and [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Dr. Andres Rodriguez, a Senior Principal Engineer in the Data Center Group at Intel, stops by to talk about why it is so critical to optimize framework and software [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Dr. Bob Rogers, Chief Data Scientist for Analytics and AI, leads the portion of Intel’s business that helps customers and end users achieve their data analytics goals in this [See the full post…]