Machine learning is becoming increasingly powerful, with a number of researchers and startups developing solutions that can analyze our speech for various things, including neurological dissorders.

If you are interested in learning more about how computers understand text and natural language processing for text speech, machine learning applications and other numerical algorithms.

In The Journal of the Acoustical Society of America, published by the Acoustical Society of America through AIP Publishing, researchers from Germany explore a human speech recognition model based ...

Machine learning can be highly efficient to decipher data in industries where understanding consumer patterns can lead to major breakthroughs. For example, sectors like healthcare and ...

Researchers in the life sciences who use machine learning for their studies should adopt standards that allow other researchers to reproduce their results, according to a new article.

Machine learning can be applied in a variety of areas, such as in investing, advertising, lending, organizing news, fraud detection, and more. Understanding Machine Learning ...

Limitations of Machine Learning: Data Dependency : Machine learning models require vast amounts of high-quality data, which can be difficult and expensive to obtain. Poor or biased data leads to ...

Apple machine learning projects span almost every aspect of the company’s activities, but in a new speech at an AI conference, a senior exec spoke specifically about the benefits for ...