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Interview: Felix Dorrek, Ph.D.

I recently caught up with Felix Dorrek to discuss his research in the area of deep generative networks. The interview touches on the technology’s power, practical applications, importance to business in 2020, as well as generating synthetic data. Felix holds a Ph.D. in mathematics from the Vienna Technical University where he conducted research in the field of Convex Geometry.

Interview: Mike Hudy, Ph.D., Chief Science Officer at Modern Hire

I recently caught up with Mike Hudy, Ph.D., Chief Science Officer at Modern Hire, to discuss the use of AI in the hiring process. Hint: it includes a robust and specific code of ethics, implementation with a specific problem in mind, and lots of transparency.

Interview: Beerud Sheth, CEO of Gupshup

I recently caught up with Beerud Sheth, CEO of Gupshup, to discuss the state-of-the-art for conversational AI and chatbot technology. He also gives us an idea for future areas of evolution for AI chatbots.

Interview: Steve Yurko, CEO of APEX Analytix

I recently caught up with Steve Yurko, CEO of APEX Analytix to discuss his views on the big data technology landscape in 2020. in order to become true big data winners, companies need to prioritize quality data as the foundation of predictive analytics that ultimately answer real business questions.

Interview: Pamela McCorduck, AI Industry Pioneer

I recently caught up with Pamela McCorduck, AI expert, industry pioneer and author of her compelling new book “This Could Be Important: My Life and Times with the Artificial Intelligentsia,” which covers her unique experiences around AI. She has been working around the field of artificial intelligence since 1960. In the interview she offers unique insight on the evolution that developed the technology we use daily today. Pamela witnessed the first developments of AI when the impersonal machine first evoked a candid and personal response from a human and has been documenting ever since.

oneAPI: – A Unified Cross-Architecture, High Performance Programming Model Designed to Help Shape the Future of Application Development

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.

Understanding Intention: Using Content, Context, and the Crowd to Build Better Search Applications

This white paper by enterprise search specialists Lucidworks, points out that unlike consumer search, which has become a seamless part of our everyday lives, the enterprise side might as well still be running Windows 95. Imagine if Amazon, Google, or Facebook treated every user the same, regardless of who they are, where they are, what they’re searching for, and what they’ve clicked. Your users expect that same sophistication in their enterprise apps.

Heterogeneous Computing Programming: oneAPI and Data Parallel C++

Sponsored Post What you missed at the Intel Developer Conference, and how to catch-up today By James Reinders In the interests of full disclosure … I must admit that I became sold on DPC++ after Intel approached me (as a consultant – 3 years retired from Intel) asking if I’d help with a book on […]

Healthy Hives: Cloud Analytics Helps Save the World’s Bee Population

In this machine learning cast study, we describe how cloud analytics technology is being applied to the Global Hive Network, an initiative to collect billions of individual data points from around the world and analyze them to understand the honeybee population’s overall health and its relationship with environments, weather patterns, forage, diseases, parasites, predator species, and pesticides.

How Astera Labs is Revolutionizing Semiconductor Product Development—100% in the Cloud

For any established semiconductor product developer, designing a next-generation PCIe 5.0 chipset in less than a year is no small feat. For a brand-new startup with no compute infrastructure other than laptops, however, it is a huge ask. That’s why, with time being of the essence, Astera Labs decided to take a chance on the efficiencies it would gain from a 100% cloud-based approach.