In the age of artificial intelligence, higher education institutions must move beyond simply transmitting knowledge and ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...
Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a comprehensive review of ...
Transaction structured to achieve majority ownership through performance-based clinical and regulatory milestonesMarks first strategic ...
Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...
Pole Star Global, a world leader in maritime intelligence and regulatory compliance solutions, today announced the launch of the Maritime Transparency Index (MTI) — a machine learning-powered risk ...
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 ...
How Carleton is using simulation and visualization to improve training, design and human performance
At Carleton University, researchers are addressing a growing demand for advanced systems that enable learners to practice ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
From structure confirmation to methodology improvements, making complex natural products has driven innovation in organic ...
The DMTA cycle depends on clear data flow, yet most labs still work across disconnected systems. Sean McGee, Director of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback