That’s the idea behind Umia, billed as the world’s first “ AI manicure machine”. At first glance, it looks more like a ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Researchers in Turkey have developed BCECNN, an AI model that detects breast cancer with 98.75% accuracy and explains its reasoning through visual heatmaps, improving doctor trust in AI diagnostics.

1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...

Quantum computation has the potential for exponential speedup of classical systems in some applications, such as cryptography, simulation of molecular behavior, and optimization. Nevertheless, quantum ...

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

Abstract: much emphasis has been placed on automating the analysis of biomedical images for effective diagnosis and treatment of various diseases in medical science. In contrast, it might take a human ...

What if AI could keep learning like a human brain, in new conditions even after it was used, deployed & put to use in real life? A Liquid Neural Network (LNN) is a new type of artificial intelligence ...

Abstract: By simulating the neurodynamics of biological brains, Spiking Neural Networks (SNNs) leverage sparse spike signal, eliminating the continuous multiply-accumulate operations of traditional ...

In today’s interconnected, digital world, establishing and maintaining networks—both within and external to the organization—is the key to success. In a recent publication in the Cambridge Press ...