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When it comes to productivity tools, we’ve reached the maximum complexity of graphical user interfaces (GUIs): cascading menus, endless dialogue boxes, a plethora of buttons. When you need a search engine or a user-generated tutorial to figure out how to change a setting in your email, slide deck, or image editor, the interface is no longer discoverable. So if using a GUI is now like trying to determine how to write a query in SQL, what’s the way back to discoverability?
Is your holiday wish list full of eco-friendly gadgets? Even if you’ve been decidedly nice, supply chain fragility may impact what ends up under your tree.
Understanding and organizing a summation of knowledge is hard. Large language models (LLMs) can help, but words alone are not enough.
When last we checked on the joint DARPA and USGS AI for Critical Mineral Assessment Competition, we were thrilled to discover that we won the Map Georeferencing challenge. We’re honored to find ourselves on the leaderboard once again for the second challenge, Map Feature Extraction.
Within its vast and varied landmass, the U.S. holds a wealth of mineral resources critical to national defense and the impending clean energy transition. Finding these resources, though, is no simple task.