Genetic algorithms and the recombination problem Discussions around AI creativity often focus on neural networks, which ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

With its ultra high speed, low power consumption, and large scale parallel processing capabilities, photonic neural networks have emerged as a next generation disruptive computing paradigm. Over the ...

Researchers from Spain’s Valencia Polytechnic University have developed a novel method for forecasting the power generation of PV systems. Its novelty lies in developing a hyperparameter optimization ...

Brain inspired AI model employs cognitive maps and stochastic calculations for energy efficient problem solving.

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...

Spread the loveImagine a future where satellites don’t just orbit our planet, but actively think, adapt, and manage ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a Deep Spiking Quantum Neural Network (DSQ-Net) for noisy image classification, marking an ...

A machine-learning algorithm originally built to spot impact craters on Mars has been retrained on ocean-floor data, and the ...