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.
Abstract: Robustness testing is crucial for verifying autonomous vehicles, especially for safety-critical deep learning components like light detection and ranging (LiDAR) object detectors.
Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
Founded in 2020, Synthesized helps enterprises like Deutsche Bank and UBS accelerate software quality assurance.
The Global Contract Development and Manufacturing Organization (CDMO) Outsourcing Market is projected to grow at a CAGR of 7.3% from 2026 ...
Govardhan Reddy Kothinti earned a 2025 Global Recognition Award for developing an advanced autonomous driving system that ...
Against the grand backdrop of the accelerated implementation of AI technology globally, the Chinese AI Agent (intelligent agent) market is experiencing remarkable explosive growth, reshaping the new ...
At ECOC 2025, Keysight Technologies will showcase data center infrastructure solutions for artificial intelligence / machine ...
Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...
A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...
This research, conducted by the Tencent Hunyuan team in collaboration with the University of Macau, Chinese University of ...
Cardiologist Dr. Harlan Krumholz at Yale warns about hidden hypertension but a new software update for Apple Watch is making ...
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