In this Intel Conversations in the Cloud audio podcast: Anshuman Pandey, founder & CEO of NimbleBox, joins host Jake Smith to talk about the company’s one-stop-shop platform for AI developers. With an easy-to-use web app, developers can quickly deploy models in a cloud-based system and focus on their code. The two also talk about the importance of open source libraries, working with Intel on performance enhancements, and why the global technology industry is going to need a wealth of new AI developers in the coming years.

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In this episode of Intel on AI guest Terah Lyons, Executive Director of Partnership on AI, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about her previous work as Policy Advisor to the United States Chief Technology Officer Megan Smith in President Barack Obama’s Office of Science and Technology Policy, her thoughts on the role policymakers should play in the field of artificial intelligence (AI), and the ongoing efforts of the Partnership on AI.

The two discuss how organizations can align their values and prioritize incentives around developing AI that helps workers, the importance of measuring such outcomes, and why practical frameworks for AI can help people outside the field better understand the benefits of AI.

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Learn more about Intel’s work in AI: intel.com/ai

In this Intel Conversations in the Cloud audio podcast: Thevi Sundaralingam, who leads the Intel Edge Software Hub Product Management and Strategy team, joins host Jake Smith to talk about how Intel works with a broad number of IoT developers on application use cases for edge deployment by providing pre-configured software packages and hardware recommendations.

For more information, visit:
intel.com/content/www/us/en/edge-computing/edge-software-hub.html

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twitter.com/thevi_s

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twitter.com/jakesmithintel

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 Engineer, and Ramesh, Intel Principal Engineer, share how their teams are collaborating to optimize TensorFlow for the latest Intel technologies using oneAPI Deep Neural Network Library (oneDNN). The result: remarkable performance gains that will benefit applications spanning natural language processing, image and object recognition, autonomous vehicles, fraud detection, medical diagnosis and treatment, and much more. Intel-optimized TensorFlow is now made available through Intel AI Analytics Toolkit and is being used within Google Cloud Platform and a Google Health project.

To learn more:
Intel oneAPI Deep Neural Network Library
Intel AI Analytics Toolkit
Accelerating DeepVariant with Intel’s AVX-512 Optimizations
TensorFlow-MKL int8 Optimizations for Cascade Lake
TensorFlow-MKL bfloat16 Optimizations for Cooper Lake

In this episode of Intel on AI guest Colin Murdoch, Senior Business Director at DeepMind, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about text-to-speech system WaveNet, the recent breakthrough with AlphaFold, the potential for artificial intelligence to solve energy challenges, and how Google adopts cutting-edge research into a number of services.

The two also discuss examples like AlphaGo, GraphNet, advancements in Android products, and what the future of artificial general intelligence might look like.

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Follow Abigail on Twitter: twitter.com/abigailhingwen
Learn more about Intel’s work in AI: intel.com/ai

In this episode of Intel on AI guest Alice Xiang, Head of Fairness, Transparency, and Accountability Research at the Partnership on AI, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about algorithmic fairness—the study of how algorithms might systemically perform better or worse for certain groups of people and the ways in which historical biases or other systemic inequities might be perpetuated by algorithmic systems.

The two discuss the lofty goals of the Partnership on AI, why being able to explain how a model arrived at a specific decision is important for the future of AI adoption, and the proliferation of criminal justice risk assessment tools.

Follow Alice on Twitter: twitter.com/alicexiang
Follow Abigail on Twitter: twitter.com/abigailhingwen
Learn more about Intel’s work in AI: intel.com/ai

Roland Mesters, founder of Nordigen, joins host Jake Smith to talk about how the fintech company provides transaction-based analytics for income verification and affordability checks by leveraging machine learning in open banking. The two talk about how open banking is changing the finance industry in Europe and around the world, the difficulties in managing unstructured data, and how Intel Xeon processors are driving big performance gains.

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Follow Jake on Twitter: twitter.com/jakesmithintel

Randy Tucker, Lumen Edgevangelist, joins host Jake Smith to talk about edge computing, the history of telecommunications pioneering in Colorado, and the advancements in network infrastructure. Randy explains why milliseconds count when it comes to the edge and how working closely with Intel has improved performance across the globe. The two also talk about how the company has changed over the years with acquisitions, going from Qwest Communications to CenturyLink to Lumen Technologies today.

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Follow Jake on Twitter: twitter.com/jakesmithintel

In this episode of Intel on AI guest Rana el Kaliouby, Ph.D., cofounder and CEO of Affectiva, and author of Girl Decoded: A Scientist’s Quest to Reclaim Our Humanity by Bringing Emotional Intelligence to Technology, talks with host Abigail Hing Wen, Intel AI Tech Evangelist and New York Times best-selling author, about emotional intelligence (EQ)—a person’s ability to sense emotional and cognitive states and behaviors, and be able to adapt in real-time based on that information.

The two talk about Rana’s journey to founding Affectiva with MIT professor Rosalind Picard, Sc.D, the future implementations of EQ in technology, such as customer service and autonomous driving, and why such systems need to have clearly defined data policies.

Follow Rana on Twitter: twitter.com/kaliouby
Follow Abigail on Twitter: twitter.com/abigailhingwen
Learn more about Intel’s work in AI: intel.com/ai

Andrew Lumsdaine, Chief Scientist at Northwest Institute for Advanced Computing, shares his journey in parallelism, from the HPC community’s early skepticism of and eventual move to C++ to build large systems, to his pursuit to develop a series of C++ libraries to strike at the contradiction between abstraction and performance, to today’s reality that parallelism and heterogeneity are essential for achieving performance. Together, Andrew and Mike Voss, Principal Engineer at Intel, underscore the value of open standards and high-quality implementations of open standards—specifically, the oneAPI specification and Intel oneAPI toolkits, respectively—and provide listeners with ways to get involved in helping shape ISO C++, Khronos SYCL, DPC++ and oneAPI.

Guests:
Andrew Lumsdaine, Chief Scientist, Northwest Institute for Advanced Computing
Mike Voss, Principal Engineer, Intel

To learn more:
oneAPI.com
Intel oneAPI Toolkits