Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Abstract: This study examines approaches to hyperparameter optimization in machine learning and deep learning systems using genetic algorithms. Today, the success of neural networks and machine ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

For years, the most powerful artificial intelligence systems have been trained behind closed doors–inside massive data centers owned by a select few technology giants. These facilities concentrate ...

Abstract: The rapid digitalization and proliferation of internet-connected devices have not only revolutionized our daily lives but also exponentially expanded the attack surface for cybercriminals, ...