In today's machine learning field, deep neural network models are becoming increasingly large and complex, posing significant challenges to traditional electronic computing hardware. To address this ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
Discover how optical fibres can revolutionize AI computing with speed, efficiency, and accuracy using the physics of light.
A joint team has uncovered how soft, deformable particles, like cells, behave in microfluidic channels. Using precisely fabricated hydrogel particles ...
ORNL and partners are using HPC to study quantum materials outside equilibrium, aiming to inform future quantum computing ...
Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...
Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.
Six critical challenges face higher education institutions that have adopted block planning for their teaching schedules as the approach matures and expands globally, writes John Weldon ...
A new study suggests aging "bursts" occur at 44 and 60, but findings might be overstated. The study's small sample size limits the reliability and generalization of findings.
Artificial intelligence continues to claim the spotlight and test the limits of human ingenuity. Click here to read more.
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