The proposed framework combines machine learning and earthquake engineering to prioritize high-risk buildings, optimizing ...

The promise of smart test is a data-chain problem before it is an algorithm problem. A device can pass every checkpoint and ...

The industry's aspirations for machine learning are running ahead of the data plumbing required to support them.

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

Researchers at Goethe University and Philipps University Marburg, in collaboration with the Fraunhofer Institute for Translational Medicine and ...

Primary care is essential to advancing population health, yet it has faced underinvestment and workforce shortages in the US. Private equity (PE) investments could expand access by facilitating ...

Synthetic data now makes up the majority of the Internet, having surpassed Peak Data in 2024 (a phenomenon reflecting a saturation of the high-quality data available to train AI LLMs), reaching a ...

CPL Lee returns from mission and pulls his truck into the motor pool. The vehicle’s onboard sensors retain captured fault codes, environmental exposure, and operating conditions. A low-power, ...

Children and young people presenting with recurrent fractures pose a diagnostic challenge for clinicians. Such patients ...

There was a time when opening up Expedia or Booking.com felt like a smart move. You'd see hundreds of options lined up side ...