Resources

For over a decade, Python* has topped the short list of high-productivity languages and is one of the most popular abstractions to scientific computing and machine learning … even though the base Python language remains single-threaded. In the age of parallelism, how does this language remain performant? Find out.

For brick-and-mortar retailers, the new paradigm is “digitize”—i.e., use new IoT technologies to understand and respond to real-world customer behavior. Find out how Advantech UShop* and Intel® Vision Products are using AI to keep foot traffic—and commerce—alive and kicking.

An 8x performance boost is impressive on its own. But add in the context—securing the entire 2018 FIFA World Cup attended by tens of millions of fans across 11 cities—and that boost skyrockets into extraordinary. See how AxxonSoft* and Intel® Vision Products made it happen.

Binary floating-point representation of most numbers is inexact; the same computation repeated under different conditions delivers different results ... a problem when exact reproducibility is vital (e.g., quality control apps). Intel® Software Development Tools can bridge the gap.

Get a first-hand look at how to use Intel® Arria® 10 FPGAs with the OpenVINO™ toolkit for your vision-oriented applications, including taking it for a spin with a CPU+FPGA heterogeneous system.

Experiencing subpar system performance? Intel® VTune™ Amplifier’s Platform Profiler is the tool for you. Get the specifics of how it delivers system- and hardware-level app insights. Includes benchmarks.

GeoVision Turbo-Charges its Deep Learning Facial Recognition Solution using Intel® System Studio and OpenVINO™ Toolkit

Imagine an expert telling you “your application underutilizes the Floating Point Unit”, then providing the steps to correct the issues. Intel® Parallel Studio XE is that expert and so much more.

Intel built a Zoo! OK, it's an Analytics Zoo, so you can build BigDL applications using an end-to-end analytics + AI platform, with built-in deep learning models, on top of Apache Spark and BigDL.