A century ago, Erwin Schrödinger came up with an equation that says how the quantum world behaves. Now scientists are asking ...

Trained on data from NASA's exoplanet-hunting missions, the open-source ExoMiner++ deep learning model uses an advanced ...

Discover how to create a working model motorcycle using only cardboard and basic materials in this step-by-step tutorial. Learn the entire process, from crafting cardboard wheels and constructing the ...

Washington-based Starcloud launched a satellite with an Nvidia H100 graphics processing unit in early November, sending a chip into outer space that's 100 times more powerful than any GPU compute that ...

The Atlantic hurricane season is drawing to a close, and with the tropics quieting down for a winter slumber, the focus of forecasters turns to evaluating what worked and what did not during the ...

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Years ago, before the rise of the gig economy, people developed their careers over time, often more slowly than desired. Folks who became DBAs, Data Modelers, or Data Architects had a rule-following ...

Access: Setup our MCP servers in your LLM application in 2 clicks via our CLI tool (starting with Claude, see Roadmap for next steps). Publish: Use provided templates and guidelines to quickly ...

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 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.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...