The result is a tool that delivers exceptional speed and accuracy while maintaining the creative integrity of every design.

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain ...

Vectorization, the hardware optimization technique synonymous with early vector supercomputers like the Cray-1 (1975), has reappeared with even greater importance than before. 40+ years later, the AVX ...

The financial sector is heavily data driven. Every day, trillions of data is generated by the global financial system; these data sets are the bedrock of the financial system since they support a ...

Although a serious engineering challenge, database vectorization delivers orders-of-magnitude performance boosts for a real-time analytics engine such as StarRocks. Here’s how we did it. Improving ...

With the open source research code WARP3D for 3-D nonlinear analysis of solids, the importance of vectorization is gaining traction once again. Also on GitHub, , the research code focuses on such ...

Image vectorization has emerged as a pivotal technique in digital imaging, offering a means of converting raster images into scalable, resolution-independent vector formats. This process leverages ...

As AI adoption accelerates, unstructured data — comprising over 90% of enterprise data — is key to differentiated, accurate AI. Yet less than 1% is used for GenAI today due to manual, fragmented ...

We will describe, with C and Fortran examples, new opportunities for performance-enhancing vectorization provided by the Intel® AVX-512 instruction set on the processor code named Knights Landing.

Pat Gelsinger's presentation yesterday at IDF briefly covered Penryn's architectural and performance improvements, but it was a bit light on the details. In a presentation today, Intel revealed much ...