Nuclear fusion. People on Mars. Artificial general intelligence. These are just some of the advances that could come by the ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
Released every 12 to 18 months, 3D NAND scaling outpaces most other semiconductor devices in replacement rate and performance ...
Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...
ZNetwork on MSNOpinion
Education under Trump: Understanding the billionaires’ project in education - to defeat it
As we near the end of this first year of Trump’s second administration, we face a new challenge: sustaining and building ...
Edge platforms, which provide a liaison between networks and legacy equipment, can provide a layer of cybersecurity ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
This article outlines what lab sustainability entails, the benefits of becoming a more sustainable lab and provides 10 ...
This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback