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The Official Microsoft Blog on MSN
Microsoft leads shift beyond data unification to organization, delivering next-gen AI readiness with new Microsoft Fabric capabilities
The definition of “AI readiness” is evolving as increasingly sophisticated agents demand rich, contextualized data grounded in business operations to deliver meaningful results. What sets leaders ...
We're about to get a heavy helping of MCP from the keynote stage, as fuel for the agentic AI buzz. But why MCP? Why is ...
Xiaomi’s YU7 EV rapidly gains momentum, challenging Tesla’s Model Y dominance in China. Tesla sales in China fall year-to-date, highlighting mounting competitive market pressure. See the trading ...
Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI systems before delivering them to a large language model. The method relies on ...
Surya, an AI model developed by NASA and IBM, tries to find hidden patterns in solar data to detect solar flares and winds. NASA and IBM have released a new open-source machine learning model to help ...
AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...
A new Apple-backed AI model trained on Apple Watch behavioral data can now predict a wide range of health conditions more accurately than traditional sensor-based approaches, according to a recently ...
Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
Work management platform Asana is warning users of its new Model Context Protocol (MCP) feature that a flaw in its implementation potentially led to data exposure from their instances to other users ...
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