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.

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

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

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

EchoNet-Measurements shows promise against sonographers and in an external validation set but needs prospective study.

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 ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Deep learning, a multifaceted and groundbreaking subset of Artificial Intelligence (AI), is reshaping various sectors, notably materials science. Its algorithms are now leveraged to predict and ...