Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: A brain–computer interface (BCI) enables a user to communicate directly with a computer using only the central nervous system. An affective BCI (aBCI) monitors and/or regulates the emotional ...

This repo contains tutorials on autonomous vehicle's mapping algorithm on KITTI Dataset. This tutorial demonstrate two examples of grid-based mapping technique, which are occupancy grid map (OGM) and ...

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 ...

Khronos OpenVX is an open, royalty-free standard API for cross platform acceleration of computer vision applications. OpenVX enables performance and power-optimized computer vision functionality, ...

🛍️ Amazon Prime Day: The best deals chosen by our editors 🛍️ By Justin Pot Published Feb 17, 2025 10:00 AM EST Add Popular Science (opens in a new tab) More information Adding us as a Preferred ...

There’s little doubt that some of the most important pillars of modern cryptography will tumble spectacularly once quantum computing, now in its infancy, matures sufficiently. Some experts say that ...

The development of single-cell multi-omics technology has greatly enhanced our understanding of biology, and in parallel, numerous algorithms have been proposed to predict the protein abundance and/or ...

In this mini-review, we introduce and summarize research from the Quantum Technologies Group (QTG) at Carnegie Mellon University related to computational experience with quantum annealing, performed ...

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...