Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

Quantum computing, on the cusp of a technological revolution, is set to significantly alter the way we process and interact ...

Which is your favorite Machine Learning algorithm? This question was originally answered on Quora by Carlos Guestrin.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

However, these must have skin contact and are typically worn on the finger. Pulse-Fi works remotely, allowing you to monitor ...

The labeled data is fed to computer algorithms, teaching the algorithms what to look for. After ingesting millions of labeled images, the algorithms become expert at recognizing what they have ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

Learning algorithms already make a lot of important decisions every day, from who gets credit to who gets interviewed for a job to who gets flagged as a potential terrorist. And they make mistakes.

Similar analogies exist in the area of autonomous vehicles. Overall, machine learning seems to define the notion of probabilistic algorithms in computer science in a similar manner as quantum physics.

Using algorithms partially modeled on the human brain, researchers from the Massachusetts Institute of Technology have enabled computers to predict the immediate future by examining a photograph.

So: algorithm, artificial intelligence, machine learning, neural networks. In popular cant, these refer to the same thing: computer programs that learn.