Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

Penalties against AI In a research study published in Informatics in Medicine Unlocked, Mienye and Prof Yanxia Sun show how ML algorithms can be improved significantly for medical purposes.

Using cutting-edge machine learning algorithms, experts have identified the best replacements to help turn $700 into $70,000 by Q1 next year.

Machine Learning algorithms are ubiquitous, but what is the relationship between our mind and a machine learning algorithm? How can we leverage science to create the change we want to see? The ...

ML algorithms can analyze complex and diverse data sets more effectively than traditional methods.

Google and Verily have been leveraging ML to screen for the two leading causes of preventable blindness in adults. This algorithm is now being used in a clinical setting, while the European Union ...

The ML-KEM algorithm is somewhat similar to the kind of public-private encryption methods used today to establish a secure channel between two servers, for example. At its core, it uses a lattice ...

Research from Florida International University’s College of Business (FIU Business) found that a machine learning (ML) algorithm that uses hospital data and social determinants of health data can help ...

A project at Rice University has developed a new machine learning (ML) algorithm intended to improve the identification of biomarkers in optical spectra. As reported in ACS Nano, the algorithm could ...

In another real-world case, user input permanently altered an ML algorithm. Microsoft launched its new chatbot “Tay” on Twitter in 2016, attempting to mimic a teenage girl’s conversational ...