Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
ZestyAI, the leading provider of AI-powered property and climate risk analytics, today announced that its non-weather water risk model, Z-WATER™, has received approval in Wisconsin for use in ...
Celebrating the International Year of Quantum Science and Technology, the article explores the enigmatic world of quantum ...
The American Dream may be shattered for Indian tech talent, but many welcome the brain-drain reversal. Read more at ...
Long, C. , Gao, W. and Zeng, G. (2025) Analysis of Factors Affecting Cryptocurrency. Open Journal of Business and Management, 13, 3697-3715. doi: 10.4236/ojbm.2025.135199 .
The rise of remote work and digital nomadism has fundamentally transformed how professionals approach their careers and ...
E18: Explosion Protection Engineering | Hannah Murray, explosion protection engineering PhD candidate, and Prof. Stephen Kmiotek, co-director of explosion protection engineering program ...
In the months leading up to the 2024 U.S. presidential election, a team of researchers at MIT CSAIL, MIT Sloan, MIT LIDS, set ...
Fluctuations in brain activity, also known as neural variability, enable us to be flexible in adjusting our behavior to the ...
The older the phone you're using is, the more you'll benefit from sensor and image signal processing improvements. Bits of ...
In no time, the story of the "one-person company" went viral online, serving as a classic footnote to whether AI can sustain ...
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