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 ...

Data science has created more and better applications for algorithms, particularly those that use machine learning, to help predict outcomes of interest to humans. But has the progress of algorithmic ...

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 ...

A machine-learning algorithm demonstrated the capability to process data that exceeds a computer’s available memory by identifying a massive dataset’s key features and dividing them into manageable ...

A tailsitter is a fixed-wing aircraft that takes off and lands vertically (it sits on its tail on the landing pad), and then tilts horizontally for forward flight. Faster and more efficient than ...

The time-honored proportional, integral, derivative (PID) algorithm is used in a vast majority of applications for basic control and in many for advanced control. However, there appears to be a ...

Google announced a major quantum breakthrough using its Willow chip and the Quantum Echoes algorithm. The new method performed a complex physics task 13,000 times faster than the world’s fastest ...

A new business infrastructure is emerging with enormous potential impact but almost no conscious design. In this new world, algorithms negotiate with algorithms, making decisions that shape markets, ...

Solar power provides a much-needed non-carbon energy source that is dependent on sun radiance. But sunny days are inherently unpredictable and variable, due to atmospheric conditions such as cloud ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...