In this Intel on AI podcast episode: The process of diagnosing a patient with chest abnormality is done by radiologists and doctors with a lot of experience and expertise. This involves looking for the presence of foreign bodies, infiltrates, [See the full post…]

In this Intel on AI podcast episode: Recording live at the Intel AI Summit event in San Francisco California, Ben Taylor the Chief Data Officer of Zeff, joins the Intel on AI Podcast to discuss deepfake technology and risks [See the full post…]

A physics and math wonk from MIT, Jim Manzi figured out early in his career that he loved the application of pragmatic, quantitative approaches to solve pesky real-world business problems, including today, challenges faced by life science and healthcare organizations. [See the full post…]

In this Intel on AI podcast episode: Recording live at the Intel AI Summit event in San Francisco California, Ray Pang Head of Technology Enablement at Supermicro, joins the Intel on AI Podcast to talk about the long term [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Neuromorphic computing looks to the human brain and nervous system for inspiration. The brain is very good at perceiving information, learning from context, and inference. Understanding how the brain [See the full post…]

Jessica Groopman, technology analyst and founder of Kaleido Research, and Satyam Vaghani, VP IoT and AI for Nutanix discuss how the Internet of Things is growing beyond its infancy and into a phase that’s driving a whole new wave [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Good maps rely on good data. The Red Cross’ Missing Maps Project leverages AI to provide governments and aid workers with the tools they need to navigate disasters like [See the full post…]

MulticoreWare’s LipSync technology uses Deep Neural Networks to “watch” and “listen” to videos and determine if content is correctly synchronized. Trained classifiers are used to find and match human faces to human speech, allowing LipSync to detect errors that are [See the full post…]

In this Intel on AI podcast episode: Recording live at the Intel AI Summit in San Francisco California, Deepak Dinkar Senior Practice Manager at Wipro Technologies, joins the Intel on AI Podcast to discuss how Wipro is working with [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Academic research and theoretical work on deep learning have predicted an exciting future for deep learning, and now real-world technology is catching up with some of the most exciting [See the full post…]

In this Intel on AI podcast episode: Enterprises today have exploding volumes of data which is growing the scale and complexity of data centers and often result in unplanned IT downtime. This disrupts mission-critical operations, causes loss of data, [See the full post…]

In this Intel on AI podcast episode: Creating, maintaining and deploying data models that allow businesses to gain actionable insights can require a lot of time and effort due to the vast amount of data to process. Also, machine [See the full post…]

In this Intel on AI podcast episode: Counting and identifying characteristics of crowds can provide organizations with a lot of valuable insights. Yet challenges like image distortion, density, and different camera angles can make analyzing images accurately very challenging. [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Natural Language Processing is a complex and important field of AI. It’s what allows AI assistants to understand human voices, chatbots to understand typed text, and AI to read [See the full post…]

In this Intel on AI podcast episode: Accurately answering clinical and billing questions by reading patient records, which can be hundreds of pages long, is a challenge even for human experts. While traditional rule-based or expression-matching techniques work for [See the full post…]

In this Intel on AI podcast episode: Enterprises today are attempting to use Artificial Intelligence (AI) to tackle more and more complex challenges. Yet, many of the AI applications today are unable to cope with optimization and automation challenges [See the full post…]

In this Intel on AI podcast episode: Colorectal cancer is the one of the most common cancers worldwide, and in about half of patients it can spread to the liver and lead to greater complications. Traditional manual examinations of [See the full post…]

In this Intel on AI podcast episode: There is a massive amount of insight to be gained by studying brick and mortar customer behavior. Yet capturing, labeling, and analyzing that data can be a very complicated and compute intensive [See the full post…]

In this Intel on AI podcast episode: There are many individuals (makers) creating artificial intelligence (AI) enabled solutions and many of which may help drive AI to the next level. Yet, there is a challenge for makers when moving [See the full post…]

In this Intel on AI podcast episode: As artificial intelligence (AI) technologies rapidly advance many companies would like to take advantage of the potential of AI but can’t because they do not have the resources or skills for modeling [See the full post…]

In this Intel on AI podcast episode: Today athletes are always looking for new ways to analyze and improve their performance through video analysis and sports enthusiasts love to experience sports in new and innovative ways, but 3D capture [See the full post…]

In this Intel on AI podcast episode: Regular inspection of underground water and sewage pipelines is essential in the water utility industry to prioritize maintenance tasks and avoid pipe leakage, breakage, and blockage, which might result in property damage [See the full post…]

In this Intel Conversations in the Cloud audio podcast: We are joined by Lee Carter, Vice President Global Alliances at Bright Computing. Bright Computing offers comprehensive software for deploying, managing, and monitoring clustered infrastructure, in the data center or [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: Deep neural networks (DNNs), which are arguably the most powerful form of AI today, are difficult to build, run, and explain. Such challenges constitute significant roadblocks for their adoption in their enterprise. [See the full post…]