A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...
EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...
Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...
Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...
In asset-intensive industries, misclassified parts and inaccurate bills of materials cost far more than storeroom space. AI ...
Designing molecules is one of chemistry's most complex challenges. From life-saving drugs to advanced materials, each ...
A new generation of artificial intelligence (AI) tools could help save more patients who need heart transplants by making better use of donor hearts that are currently discarded, according to research ...
Background Allostatic load (AL) is the physiological burden of stress, and it is suggested to be a mediator between ...
Background Current automatic software uses a fixed apparent diffusion coefficient (ADC) threshold (≤620×10⁻⁶ mm²/s) to ...
Automated decision making is basically when computers make choices on their own, using data and rules instead of a person.
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