Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional materials. Materials scientists are therefore working to develop and improve new ...
Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...
Abstract: 3-D printing, or additive manufacturing (AM), leverages 3-D computer-aided design models and numerical control to produce objects layer-by-layer, playing a key role in Industry 4.0 and ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
When a debt collector reaches out, it can be unsettling, even if you knew that you'd defaulted on your obligations and were expecting the call. Between the pressure to pay, the perceived urgency of ...
For years, the federal government has been amassing DNA profiles of noncitizens. But recently released Customs and Border Protection (CBP) data reveal that officials knowingly collected the DNA of ...
The Department of Labor is initiating an investigation into how the Bureau of Labor Statistics collects and reports “closely watched economic data,” according to a letter the department’s Assistant ...
Collecting coins from a vending machine after one week! See how much was made. The machine mostly takes card payments. People in Denmark 'stunned' by Trump's Greenland comments, former ambassador says ...
A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...
Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
Abstract: With the development of large-scale distributed systems, how to efficiently collect and process data to support machine learning will become an increasingly important problem. However, ...