Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
Lincoln's S. Kathleen Lyons is providing a new framework—Earth system engineering—for examining how organisms, including humans, have fundamentally altered ecosystems on a global scale across hundreds ...
Georgia Tech and Vanderbilt researchers have built the first lung-on-a-chip with a working immune system, a breakthrough with ...
Advanced context engineering in GTM strategies involves a sophisticated, multilayered approach that transforms how sales ...
An international team including University of Tennessee, Knoxville Professor Alycia Stigall, offers a new way to examine the ...
The special operations line of power tools represents the pinnacle of underwater tool engineering. These variants operate at ...
The Cool Down on MSN
Researchers make stunning discovery after zapping rotting food with electricity: 'We are creating an industry'
If research like this scales, the leftover food scraps in your fridge could someday help power industries instead of filling ...
Dr. Jamie Spangler gives a vision of how engineered proteins could overcome the toughest challenges in cancer immunotherapy.
The report titled "Technological Advances and Practical Applications of Knowledge Graphs in the Power Sector" by the ...
Ahead of the AI Horizons Summit, which brings together researchers, innovators and entrepreneurs, Barbara Shinn-Cunningham, ...
UK-based startup Scindo combines AI models with proprietary data to accelerate enzyme discovery and optimization.
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