Researchers at UMass Chan Medical School in Worcester, Mass., have created an algorithm to predict total knee replacement ...

From cell phones to solar panels to quantum computers, thin films are essential to current and emerging technologies. But making functional thin films requires control. During hours-long processes, ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

As described in detail in Nanduri & Sherry's 2016 paper on anomaly detection in aircraft data, traditional algorithms ...

Predictive AI uses a combination of statistical analysis and ML algorithms to uncover insights in historical data and make predictions about upcoming events, results, or trends and often makes use ...

The course introduces basic data structures and algorithmic techniques ... Introduction and basic definitions: algorithm, problem, instance. Computational complexity analysis of algorithms. Sorting: ...

Research Institute for Electronic Science, Hokkaido University, Sapporo 001-0020, Japan Institute for Chemical Reaction Design and Discovery (ICReDD), Hokkaido University, Sapporo 001-0020, Japan ...

An AI model trained on dozens of hours of real-world conversation accurately predicts human brain activity and shows that features of language structure emerge without being coded in.

we need data-driven approaches to identify patterns and predict impacts before they devastate traffic. Let me share three key strategies. One of the most powerful approaches to algorithm analysis ...

In recent years, particularly since 2016, when Donald Trump first came to power and Britain voted to leave the European Union, some in the media and politics have raised concerns about how social ...