This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research ...

Object detection tutorial This project is based on the Object detection tutorial from Microsoft. Also I have added additional code for the endpoints to upload images and get the object detection ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

This study investigated an object detection technique for lung cancer using the YOLO object detection model to train and validate the model and evaluate whether it can effectively detect the types of ...

Astronomers have made a groundbreaking discovery by detecting methane in the atmosphere of WISEA J181006.18−101000.5, the closest T dwarf to Earth, located just 29 light years away. This ...

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care. If you have the appropriate software ...

This review discusses the current state of multicancer early detection tests, the role of machine learning in their development, and their implications for oncology practice and patient care.

This letter introduces a new method for magnetic polarizability tensor measurement using a pulse induction metal detector and electromagnetic tracking. Machine learning-based object depth estimation ...