Siemens Partners with Microsoft Corporation (MSFT) to Scale Industrial AI Tech with Azure OpenAI Service
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We recently compiled a list of the 10 AI News Updates You Should Not Miss. In this article, we are going to take a look at where Microsoft Corporation (NASDAQ:MSFT) stands against the other AI stocks you should not miss.
Latest reports, published by MIT News, suggest that researchers at the Massachusetts Institute of Technology have developed a more efficient algorithm, called Model-Based Transfer Learning (MBTL), to improve AI decision-making in tasks like traffic control, which involves high variability. Reinforcement learning models, commonly used for AI decision-making, often fail when facing minor changes in their training tasks. MBTL strategically selects the most impactful tasks to train on, improving overall performance while reducing training costs.
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For example, controlling traffic in a city involves numerous intersections with varying conditions. Instead of training separate algorithms for each intersection or one generalized algorithm for all, MBTL identifies and trains on a subset of key intersections. It leverages zero-shot transfer learning, allowing trained models to perform well on untrained, similar tasks. Per the report, this technique could revolutionize complex systems, reducing costs and improving AI reliability. The research received funding from NSF, Amazon Robotics, and others.
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A development team working together to create the next version of Windows.
Microsoft Corporation (NASDAQ:MSFT)
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Microsoft Corporation (NASDAQ:MSFT) is a Washington-based technology company. On November 28, electronics giant Siemens announced that it had partnered with Microsoft to scale industrial AI tech. Per Siemes, the partnership has improved Industrial Copilot, enabling it to handle the most demanding environments at scale. The Copilot combines the unique domain know-how across industries of the former with the Azure OpenAI Service of the latter. Over 100 companies are currently using the Siemens Industrial Copilot to streamline processes, address labor shortages, and drive innovation.