Page 31 - Deep Learning News Today

The accurate classification of landfill waste diversion plays a critical role in efficient waste management practices. Traditional approaches, such as visual inspection, weighing and volume measurement, and manual sorting, have been widely used but suffer from subjectivity, scalability, and labour requirements. In contrast, machine learning approaches, particularly Convolutional Neural Networks (CNN), have emerged as powerful deep learning models for waste detection and classification. This pape...

1. A transformer deep learning algorithm is developed to determine accurate prediction of five major risk factors in patients’ post-liver transplantation 2. Fairness metric determined to refine algorithm to more equitably distribute liver transplants across demographics Evidence Rating Level: 2 (Good) Study Rundown: Liver transplantation is a life-saving procedure for patients with liver diseases. Yet,

Tennessee Gov. Bill is expected to launch a bill next week that would add protections to the state's music industry.

Safe and successful surgery is resource-intensive, but it turns out that there's way more stuff in the operating room than necessary. And a lot of it goes unused.

Five innovation themes that will define the competitive battles of the future. Consumers want immersive, integrated, automated, safe, and sustainable experiences.

FAU researchers are among the first to use a deep learning-based crowd counting approach to count manatees, using images captured from CCTV cameras.

Syntiant Adds to Automotive Solution with a Host of New ML Models ...

Amazon’s working to stick AI inside cars that could tell you why the check engine light is on, though only if you’re paying for 5G.

Amazon is working to stick AI inside cars that could tell you why the check engine light is on — though only if you’re paying for 5G.

Treatment choices for individuals with acute myeloid leukemia (AML), an extremely aggressive type of disease, are influenced by several specific genetic characteristics of the disease; however, at the time of diagnosis, this information is unavailable.