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Microsoft Research is experimenting with the development of tailored AI models that minimize resource usage.
TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.
Model quantization bridges the gap between the computational limitations of edge devices and the demands for highly accurate models and real-time intelligent applications.
The generative AI technology powering ChatGPT—OpenAI's GPT-3.5 and GPT-4 LLMs—is available to R users, with a growing collection of packages and apps to choose from.
InfoWorld recognizes the year’s best products in software development, cloud computing, data analytics, AI, and machine learning.
AI is looking regulation in the face—and many in the industry are nervous about what they see.
The capabilities, currently in preview, will allow enterprises to run machine learning on shared data while collaborating with partners and maintaining data privacy and security.
Microsoft’s low-code and copilot-driven AI builder makes it easy to train chatbots on internal data, and ‘boost’ them with GPT and external data sources when appropriate.
Full rewrite of the deep neural network API supports Keras workflows on top of the three leading machine learning frameworks.
Update to the machine learning framework for .NET developers brings new capabilities in object detection, named entity recognition, and question answering.