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

For chronic kidney disease for example, the Random Forest algorithm had precision at 0.972 and recall at 0.946, out of a perfect 1.000. After the cost-sensitivity was added, the algorithm improved ...

Using cutting-edge machine learning algorithms, experts have identified the best replacements to help turn $700 into $70,000 by Q1 next year. Among the top picks are Cardano (ADA), known for its ...

While ML algorithms do not have an emotional component, our psychological makeup is such that we do and it is stored in the brain, and accessed via a neural pathway.

ML algorithms can analyze email content, including subtle cues and patterns that are typically overlooked, to identify and flag phishing emails. 3. Analyze cyber threat trends in real time.

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.

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 ...