LGND has raised $9 million to convert geographic data into vector embeddings to power AI models that understand the Earth.

For a long time, universities worked off a simple idea: knowledge was scarce. You paid for tuition, showed up to lectures, ...

Two Ohio State Marion professors recently won a $20,000 Ohio State Energy Partners Academic Collaboration Award for their STEMcoding initiative.

Chloris Geospatial, a climate-tech company pioneering satellite-based measurement of forest carbon and ecosystem change, ...

The resolution of seismic data determines the ability to characterize individual geological structures in a seismic image. Sparse spike inversion (SSI) is an effective approach for improving the ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

The relevance of data science extends beyond far tech companies. Thank you for reading Nation.Africa Show plans You have probably not heard much about it but no discipline currently holds more promise ...

This data set contains shapefiles of termini traces from 294 Greenland glaciers, derived using a deep learning algorithm (AutoTerm) applied to satellite imagery. The model functions as a pipeline, ...

Finding candidate molecules with favorable pharmacological activity, low toxicity, and proper pharmacokinetic properties is an important task in drug discovery. Deep neural networks have made ...

SUMMARY: The Food and Drug Administration (FDA, the Agency, or we) is announcing the following request for comments for a future public workshop series entitled “Rare disease Innovation, Science, and ...