Conventional robots navigate much like humans do, relying on detailed maps of the area they are in to get around. This allows the robot to maintain an accurate estimate of its own location, but comes ...

Abstract: Access network intrusion detection (ANID) is an indispensable role in guaranteeing information security, in which data-classification is a key operating procedure. In this paper, we propose ...

Identifying relevant information embedded within a constant and noisy background is a challenge faced by many sensory systems in the brain. Habituation—the reduction in responsiveness to repeated, ...

An intrusion detection system (IDS) is a program used to monitor abnormal or irregular behavior in the operation of networks and systems. The system integrates multiple data sources and uses methods ...

Microsoft Research conducts fundamental science and technology research across a spectrum of research areas. With labs around the globe we pursue breakthroughs across the computing and AI stack to ...

Artificial intelligence learned how to generate text and art better than ever before, while computer scientists developed algorithms that solved long-standing problems. In 2023, artificial ...

Alternative paradigms to the von Neumann computing scheme are currently arousing huge interest. Oscillatory neural networks (ONNs) using emerging phase-change materials like VO 2 constitute an ...

Abstract: We formalize the construction of fault blocks by a state transition model based on finite state automata. Based on the model, a boundary diffusion method is presented for the ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

Proteins are one of most significant components in living organism, and their main role in cells is to undertake various physiological functions by interacting with each other. Thus, the prediction of ...