Komal Jasani, a QA engineer at Meta, has pioneered the use of machine learning in VR testing, leading to faster bug detection ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

The global big data in healthcare market is set to expand from USD 78 billion in 2025 to USD 540 billion by 2035 at a CAGR of 19.20%. The integration of big data, predictive analytics, and AI will ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

The integration of machine learning with intelligent sensing tools enables high-accuracy state perception. This allows machines to interpret data on seedling health, soil condition, and crop readiness ...

Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required by Danielle Randall Doughty, Massachusetts Institute of Technology ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

Data platform vendor Informatica is expanding its AI capabilities as the needs of gen AI continue to increase enterprise ...

Learn why trust in AI matters for battery science, and how interactive, reliable models are accelerating commercial ...

Molten-detecting machines Prior to the application of machine learning, earthquakes were generally detected through manual inspection by trained experts.