Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

A research team from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has released ...

Algorithms are becoming ubiquitous. However, companies are increasingly alarmed about their algorithms causing major financial or reputational damage. A new industry is envisaged: auditing and ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

Introduction to machine learning with Python : a guide for data scientists ... Model evaluation and improvement -- Algorithm chains and pipelines -- Working with text data -- Wrapping up ...

In this paper, we analyzed the UCI heart failure dataset containing relevant medical information of 299 HF patients. We applied several machine learning classifiers to predict the patient survival ...

Addressing the challenge of achieving a global circular bioeconomy requires efficient and robust bio-based processes operating at different scales. These processes should also be competitive ...

AI and Machine Learning. CHAI collaborators open shop to validate algorithms, marking pivot point for health AI. By Emma Beavins Jun 2, 2025 2:00pm. Coalition for Health AI (CHAI) Artificial ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the climate, and stabilize drones during flight.