A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout. by Julie Bedard, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes and ...

A phase 1/2, open-label, randomized, dose-finding and dose expansion study of gedatolisib in combination with darolutamide in metastatic castration-resistant prostate cancer (mCRPC). This is an ASCO ...

Automated rep segmentation and fatigue scoring from smartphone IMU data. Limitations and Observations: Inter-user variability made consistent fatigue trends difficult to detect. Future work includes ...

Right now, many companies are worried about how to get more employees to use AI. After all, the promise of AI reducing the burden of some work—drafting routine documents, summarizing information, and ...

Join Josh and Ollie on this fun episode of Jolly Korean as they uncover the fascinating world of Korean counting units! Learn how Korean counters work, including specific classifiers for people, ...

This study proposes a Tail-Weighted Histogram-Regularized LSTM (TWHR-LSTM) to extend 10s load signals into longer sequences while preserving fatigue characteristics. The method removes trends, ...

Elon Musk's social network X (formerly known as Twitter) last night released some of the code and architecture of its overhauled social recommendation algorithm under a permissive, enterprise-friendly ...

System schematic for automatic detection of sister chromatid exchanges. Machine learning techniques have been used to develop a set of algorithms that can identify and count SCEs in microscopy images.