Data shows that over 60% of drivers exhibit irregular behaviors while driving, such as sudden acceleration and frequent lane changes. These behaviors not only affect driving safety but may also ...

Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

A deep learning model was able to determine the presence or absence of distinct autoimmune neuroinflammatory disorders.

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...

(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

AI cheats not because it’s broken, but because it has learned our own bad habit: rewarding what feels good over what is true.

Both of DeepMind's new robotic AIs are built on the Gemini foundation models but have been fine-tuned with data that adapts ...

For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...

Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By ...