资讯

1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...
New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of ...
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...
A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...
Hunyuan-MT-7B came first in 30 out of the 31 tests in a general machine-translation competition held as part of the coming WMT25 conference.
The machine learning model analyzes host characteristics and virus genetics to identify potential animal reservoirs and geographic areas where new outbreaks are more likely to occur.
Training a machine learning model using only those primitives should ensure that the resulting designs meet PPA targets. Then, Cerebrus generates design scenarios by applying proposed DFM rules to the ...