New algorithms for trajectory planning and control of fixed-wing 'tailsitter' aircraft are faster and more efficient than traditional quadcopter drones. The algorithms can execute challenging ...

* a linear programming problem that would take 82 years to solve in 1988 could be solved in one minute in 2003. Hardware accounted for 1,000 times speedup, while algorithmic advance accounted for ...

A team from the University of Cordoba has designed a model, based on fuzzy logic, that predicts the performance of online education students, dividing them into 4 categories and helping professors ...

When algorithms hide your campaign levers, tracking true impact gets tricky. On Sept. 2, we'll discuss how to regain ...

Google is testing new Performance Max controls that let advertisers influence which channels the algorithm prioritizes.

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors. This is an ASCO Meeting ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When it comes to AI, algorithmic innovations are substantially more ...

ACS Motion Control has developed an algorithm -- ServoBoost -- designed to provide significant throughput enhancement for motion-control products. The company noted that ServoBoost also minimizes ...

What are machine learning algorithms? A machine learning algorithm is the method by which the AI system conducts its task, generally predicting output values from given input data. The two main ...