So the concept that the environment, pets, people, we're all we're all connected, and antimicrobial stewardship is a really ...
By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...
National University Hospital CMIO Dr Ling Zheng Jye outlines the changes necessary for the National University Health System ...
Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds. In a new study, MIT chemical engineers have harnessed artificial ...
There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...
AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...
Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...
We use S3 source with ClickHouse as engine, and Rill for visualization. This example demonstrates advanced data modeling strategies for real-time analytics using ClickHouse and Rill. We showcase how ...
Activated sludge models are crucial for designing and optimizing wastewater treatment systems, which are the cornerstone of sustainable water resource management. However, their complexity creates a ...
Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
The social model of disability frames disability as something that is created by society, rather than only by medical conditions or physical differences. The model acknowledges that people have ...
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.
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