The Linux Foundation launched a Deep Learning Foundation to support as well as sustain open source innovation in regards to artificial intelligence, deep learning, and machine learning. This Organization aims at making these critical new-technologies all available to the developer as well as data scientists worldwide. LF Deep Learning Foundation is comprised of many members, they include; Amdocs, B. Yond, Tech Mahindra, AT & T, Huawei, Nokia, Univa, ZTE, Tencent among others. Their main target is to create a neutral space to enable makers and sustainers of tools as well as infrastructure to interact and coordinate their efforts so as to facilitate the broad adaption of deep-learning technologies. LF has launched the Acumos Al Project through Deep Learning Foundation to provide a platform for the discovery, development, and sharing of AI workflows and AI models.
Many of the latest machine learning and data science tools purport to be easy to work with compared to previous generations of such frameworks and libraries. Chinese search engine giant Baidu now has an open source project in the same vein: a machine learning system it claims is easier to train and use because it exposes its functions through Python libraries. PaddlePaddle -- "Paddle" stands for "PArallel Distributed Deep LEarning" -- was developed by Baidu to augment many of its own products with deep learning. Baidu touted PaddlePaddle's speech transcription in Chinese, either for transcribing broadcasts or as a speech-to-text system to replace keyboards in smartphones. The company claims it needed 20,000 hours of audio as training material to achieve these results with its framework.
The recent rise in artificial intelligence (AI) and machine learning (ML), as Mark Russinovich, Microsoft Azure chief technology officer, recently said, is due to open-source AI and machine learning software. Open-source programs such as Core ML, Google TensorFlow, and ONNX are driving AI and ML. Now, The Linux Foundation has announced a new group at the Open Networking Summit in Los Angeles: LF Deep Learning Foundation, to further promote open-source AI and ML. As part of the LF Deep Learning launch, The Linux Foundation also announced the Acumos AI Project. This is a platform and open-source framework to make it easy to build, share, and deploy AI apps.
These days, organizations are creating and storing massive amounts of data, and in theory this data can be used to drive business decisions through application development, particularly with new techniques such as machine learning. Data is arguably the most important asset, and it is also probably the most difficult thing to manage. It can be structured or unstructured, and it is increasingly scattered in different locations – in on-premises infrastructure, in a public cloud, on a mobile device. It is a challenge to move, thanks to the costs in everything from bandwidth to latency to infrastructure. It has a zillion different formats, sometimes chunks of data are missing, and usually it is unorganized and alarmingly often ungoverned.
Artificial Intelligence is when a machine mimics the cognitive functions that humans associate with other human minds, such as learning and problem solving, reasoning, problem solving, knowledge representation, social intelligence and general intelligence. The central problems of AI include reasoning, knowledge, planning, learning, natural language processing perception and the ability to move and manipulate objects. Approaches include statistical methods, computational intelligence, soft computing and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics. AI platform is defined as some sort of hardware architecture or software framework (including application frameworks), that allows software to run.