Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
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How brain-inspired algorithms could drive down AI energy costs
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
The AI-driven fund has seen higher annual returns across a 10-year period compared with an industry benchmark, per the firm.
A new fingerprint matching algorithm developed by Precise Biometrics delivers significantly higher accuracy, along with stronger security and easier use.
Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...
The German sensor-maker Leuze claims that it has been able to cut measurement errors in demanding industrial applications by ...
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