A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It ...

Again, I really like simplicity, so I tend to go for super-simple machine learning algorithms like Naive Bayes. My experience has been that for many problems, these simple algorithms perform ...

Which is your favorite Machine Learning Algorithm ... back in the 50s by Rosenblatt and colleagues, this extremely simple algorithm can be viewed as the foundation for some of the most successful ...

Using machine learning tools to create a digital ... "You can implement it on pretty much any platform and it's very simple to understand." The algorithm was recently made available to scientists.

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

A simple circuit is easy to implement, less noisy and thus able to complete a computation. The new Nature Communications paper demonstrates a method for compiling quantum machine-learning algorithms ...

Linear regression is a simple machine learning algorithm that has many uses for analyzing data and predicting outcomes. Linear regression is especially useful when your data is neatly arranged in ...

This example uses a simple machine learning algorithm, which requires just a few model parameters. A more complex algorithm, such as for a deep neural network, could require millions of model ...

ChatGPT and other solutions built on Machine Learning are surging. But even the most successful algorithms have limitations. Researchers have now proven mathematically that apart from simple ...