Civil Rights
Movements, leaders, victories and the continuing fight for equality.
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Explore the people, places, events, achievements, struggles and stories that shaped our journey.
Movements, leaders, victories and the continuing fight for equality.
Innovation, patents, science, technology and world-changing contributions.
Pioneers, champions, Negro Leagues, records, activism and excellence.
Meet the people whose lives, choices and achievements shaped the journey.
Black towns, communities, institutions and places where history happened.
Moments that changed communities, movements, institutions and the nation.
Wilmington, North Carolina once had a thriving Black middle class and an elected interracial government. In 1898 white supremacists used violence to overthrow that government, kill Black residents and drive many others from the city.
MORE →Reflects the personal views, recollections, and perspective of the author, Mike Davis.
This is a personal recollection on the Move fire on May 13, 1985
| OpenVINO | |
|---|---|
 | |
| Developer | Intel Corporation |
| Release | May 16, 2018 |
| Stable release | 2026.4[1] 
/ 16 September 2026 |
| Written in | C++ |
| Operating system | Cross-platform |
| License | Apache License 2.0 |
| Website | openvino |
| Repository | github |
| As of | August 2026 |
OpenVINO is an open-source software toolkit developed by Intel for optimizing and deploying deep learning models. It supports several popular model formats[2] and workloads, including large language models, computer vision, generative AI, speech processing, and robot-policy deployment.[3]
OpenVINO is optimized for Intel hardware, but offers support for ARM/ARM64 processors.[2] It sees use in AI Sound Processing drivers when tied with Intel's Gaussian & Neural Accelerator (GNA).
Based in C++, it extends API support for C and Python, as well as Node.js.
OpenVINO is cross-platform and free for use under Apache License 2.0.[4]
The simplest OpenVINO usage involves obtaining a model and running it as is. Yet for the best results, a more complete workflow is suggested:[5]
OpenVINO IR[7] is the default format used to run inference. It is saved as a set of two files, *.bin and *.xml, containing weights and topology, respectively. It is obtained by converting a model from one of the supported frameworks, using the application's API or a dedicated converter.
Models of the supported formats may also be used for inference directly, without prior conversion to OpenVINO IR. Such an approach is more convenient but offers fewer optimization options and lower performance, since the conversion is performed automatically before inference. Some pre-converted models can be found in the Hugging Face repository.[8]
The supported model formats are:[9]
OpenVINO runs on Windows, Linux and MacOS.[10]
| Open source | |
|---|---|
| Proprietary |
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Source: Wikipedia. Article content is retrieved live through the MediaWiki API.
OpenVINO is an open-source software toolkit developed by Intel for optimizing and deploying deep learning models. It supports several popular model formats and workloads, including large language models, computer vision, generative AI, speech processing, and robot-policy deployment. OpenVINO is optimized for Intel hardware, but offers support for ARM/ARM64 processors. It sees use in AI Sound Processing drivers when tied with Intel's Gaussian & Neural Accelerator (GNA). Based in C++, it extends API support for C and Python, as well as Node.js. OpenVINO is cross-platform and free for use under Apache License 2.0.
Audacity is a free and open-source digital audio editor and recording application software, which is available for Windows, macOS, Linux, and other Unix-like operating systems. As of February 15, 2026, Audacity is the second most popular download at FossHub, with over 114.2 million downloads since March 2015. It was previously served by Google Code and SourceForge, where it was downloaded over 200 million times. It has been part of Muse Group since 2021. Audacity 4.0 is distributed under version 3 of the GNU General Public License (GPLv3). Many individual source files are also available under GPL version 2 or later. Its documentation is licensed under Creative Commons Attribution 3.0.
A neural processing unit (NPU), also known as an AI accelerator or deep learning processor, is a class of specialized hardware accelerator or computer system designed to accelerate artificial intelligence and machine learning applications, including artificial neural networks and computer vision. NPU can be standalone, a part of a central processing unit (CPU) or a part of a graphics processing unit (GPU).
Keras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into the TensorFlow library, and later added support for more. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with one codebase." Keras 3 will be the default Keras version for TensorFlow 2.16 onwards, but Keras 2 can still be used.
Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.
MORE →Shirley Chisholm, elected in 1968.
