How chunked arrays turned a frozen machine into a finished climate model ...

A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...

Visualize the magnetic field of parallel current-carrying wires using Python. This short shows how to model and plot the field pattern, explore direction and strength, and build intuition for ...

Learn how to use advanced techniques like short-circuiting, parallel execution, virtual threads, and stream gatherers to maximize Java stream performance. My recent Java Stream API tutorial introduced ...

The pause, which will halt green card and U.S. citizenship processing for broad swaths of people, deepens a remarkable crackdown on legal immigration pathways in recent days. By Hamed Aleaziz and ...

Tyson Foods TSN0.51%increase; green up pointing triangle, America’s largest meat supplier, is planning to close one of its largest beef-processing plants in Nebraska at a time when a cattle shortage ...

Nvidia’s Blackwell systems sales are “off the charts” according to CEO Jensen Huang, but analysts see fast growth for custom AI chips, known as ASICs. These smaller, cheaper, more narrowly focused AI ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Abstract: We present FastFlow-Python, a framework that brings parallelism to Python for stream-processing applications. FastFlow-Python enables developers to build high-throughput, low-latency ...

Trauma can look different for everyone. It can arise after being in an accident, losing a loved one, experiencing natural disasters, witnessing something traumatic happen to someone else, and many ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

Defining a pipeline workers The central worker in a pipeline is a python generator (a function with a yield statement inside) that takes as its first argument another python iterator. See the code ...