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News

EurekAlert!
eurekalert.org > news-releases > 1139385

AI-powered system could help save lives by predicting how modern house fires behave

14+ hour, 50+ min ago   (463+ words) University of Waterloo researchers’ new framework could improve evacuations, inform building codes and help emergency responders better understand toxic smoke hazards image: Firefighter exiting the experimental burn house on University of Waterloo’s campus during a controlled fire test (University of…...

EurekAlert!
eurekalert.org > news-releases > 1139345

Machine learning turns routine water quality data into early warnings for pathogen health risks

3+ day, 6+ hour ago   (450+ words) New ML-QMRA framework predicts microbial contamination and translates it into potential public health risks Credit: Bingbing Guo, Jing Wang, Chicheng Yan, Chao Tang, Kun Yin, Lei Jiang & Changzheng Cui Safe drinking water depends not only on treatment, but also on…...

EurekAlert!
eurekalert.org > news-releases > 1139068

FAMU-FSU College of Engineering researchers create artificial intelligence tool to manage modern power grid

5+ day, 6+ hour ago   (583+ words) image: The Cyber-Physical Systems Security Group members, including (from left) Olugbenga Moses Anubi, Ph.D., Ravikumar Gelli, Ph.D., Abdulrahman Takiddin, Ph.D., doctoral student Quoc Bao Phan, and Tuy Nguyen, Ph.D., pose in the Simulation Lab with the NovaCor Real-Time Simulator at…...

EurekAlert!
eurekalert.org > news-releases > 1137976

American black bears sleep twice as much during hibernation periods as during summer months, spending just 1/3 of this time awake, per machine-learning analysis of data from captive bears recorded over a period of 5 years

5+ day, 10+ hour ago   (82+ words) image: A brown bear laying on the ground in the woods. view more American black bears sleep twice as much during hibernation periods as during summer months, spending just 1/3 of this time awake, per machine-learning analysis of data from captive…...

Google News
eurekalert.org > news-releases > 1138965

Objective mobility tests may streamline fall-risk screening in older adults

5+ day, 11+ hour ago   (370+ words) EurekAlert! ROC curves of four machine learning classifiers (logistic regression, support vector machine, random forest, and artificial neural network) across six feature sets (DGI, CSQ, MTC, DGI + CSQ, DGI + MTC, and All), showing that objective mobility tests achieved the strongest…...

EurekAlert!
eurekalert.org > news-releases > 1137964

New framework predicts how temperature drives toxic VOC emissions from automotive paint sludge

1+ week, 6+ day ago   (480+ words) Credit: Zewei Liu, Fuhang Huo, Lei Zhang, Ruihao Yang, Zixian Pang, Xianglong Li, Mingqian Cheng, Tingting Liu, & Ya Xu Automotive manufacturing produces large quantities of paint sludge containing volatile organic compounds, or VOCs, that can escape into the air during…...

Google News
eurekalert.org > news-releases > 1137965

Artificial intelligence could help close agriculture’s broken nitrogen loop

1+ week, 6+ day ago   (362+ words) Credit: Xiuming Zhang, Chengkun Wei, Shaohui Zhang & Baojing Gu Artificial intelligence could help transform how farms manage nitrogen by connecting crop production, livestock feeding, manure recycling, and environmental monitoring within a single decision-making system, according to a new perspective published…...

Google News
eurekalert.org > news-releases > 1137437

KAIST develops AI that learns to theorize the world from observation, inspired by how children learn

2+ week, 1+ day ago   (523+ words) Professor Sungjin Ahn's team in the School of Computing has developed NEO (Neural Theorizer), an AI model that learns executable theories of how the world works from observation alone, rather than simply predicting what happens next image: The research team....

EurekAlert!
eurekalert.org > multimedia > 1142937

Figure 1 [IMAGE] | EurekAlert! Science News Releases

2+ week, 4+ day ago   (132+ words) The evolution of scientific paradigms and application in AI-driven energy materials. This figure depicts the sequential evolution of scientific paradigms from empirical, theoretical, computational to data-driven science, culminating in the 4th+ generative paradigm empowered by AI and data science, and showcases…...

EurekAlert!
eurekalert.org > news-releases > 1137219

Biomedical imaging, autonomous vehicle sensors may get boost from AI designed for physical signals

2+ week, 5+ day ago   (367+ words) image: Images created using physics-based machine learning (bottom row) lack artifacts showing up in images from an existing technique for capturing details obscured by complex media (top row). view more A research team led by UCLA and the University of…...