Abstract: Selecting appropriate Machine Learning (ML) techniques for fault prognosis remains a critical yet often understructured step in developing predictive maintenance strategies for industrial ...
For rare diseases, AI-driven repurposing fills a critical gap. With more than 7000 rare diseases and only a small percentage ...
FinoTraze unveils cutting-edge AI trading technology for smarter investing, offering secure, fast, and transparent automation ...
The city of Mangaluru marks a major milestone in its tech sector. Sierra Learning Academy has successfully trained 89 highly ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (HOLO or the Company), a technology service provider, has launched a groundbreaking ...
Quiq reports on key questions surrounding AI, covering its capabilities, risks, ethical challenges, and future implications ...
The University of Connecticut has partnered with Eversource, the state’s lead energy provider, in a research effort to predict extreme weather events and their effects on energy systems and ...
A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
Artificial intelligence is learning without understanding meaning. A global data revolution has stripped away essential ...
Do renewables always make power cheaper? In the UK, it depends on how much is on the system. Using causal machine learning on ...
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