The engagement establishes a multi-phase framework to support AI enabled capital efficient development of Teverelix, a next generation GnRH antagonist, as a first in class market product for acute ...
The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...
Kristen Smigielski, Ph.D., was born and raised in Buffalo, New York, in a family of educators. Her grandfather, grandmother, ...
Introduction The inaugural installment of this piece was necessarily foundational, providing the background to the emergence of AI; how it transformed the digital space; applicable regulatory ...
Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...
A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence ...
The Trump administration announced an immediate pause on the leases for five large-scale offshore wind farms off the East Coast. The Interior Department provided few details, but said the Pentagon ...
We revisit some of the most disturbing deep web videos ever found. This time we analyze them carefully instead of reacting. Frame rates time codes and edits reveal important clues. Some videos turn ...
Scientists believe they have discovered at least 20 new species in a deep part of the Pacific Ocean. The discoveries were found after researchers from the California Academy of Sciences retrieved 13 ...
Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...