Researchers discuss how to extract valuable information from databases to aid decision making in emergencies, such as the current pandemic.
Computer Science
A new deep-learning architecture for drug discovery
Convolutional neural networks provide stronger predictive performances for pharmacological assays compared to traditional machine learning models.
Hey InsureBot, what do I need to buy to protect myself?
A team of data scientists has developed a general-purpose recommendation system for insurance based on Bayesian networks and deep learning.
Supercomputer simulates molecular model of SARS-CoV-2
Researchers at UT Austin hope their computer model of COVID-19 can help other scientists in developing new drugs against the virus.
Faster, more efficient memory cells at super cold temperatures
Scientists developed cryogenic memory cells that could be orders of magnitude faster than existing memories while consuming very little power.
New Insights Into Old Chemical Concepts Using DFT
Recent progress in density functional theory provide new insights for chemical concepts like electrophilicity, nucleophilicity, regioselectivity, stereoselectivity, and more.
A Leap for Quantum Computing: Silicon Quantum Bits Establish a Long-Distance Relationship
Princeton scientists demonstrate that two silicon quantum bits can communicate across relatively long distances in a turning point for the technology.
![Advancing Cross‐point Memory Technology [Video]](https://www.advancedsciencenews.com/wp-content/uploads/2019/11/Feature_image-1.jpg)
Advancing Cross‐point Memory Technology [Video]
Researchers design a high-performance threshold switching selector based on silver nanodots.
![Understanding Resistive Switching [Video]](https://www.advancedsciencenews.com/wp-content/uploads/2019/10/Feature_ASN.png)
Understanding Resistive Switching [Video]
Resistive switching occurs when a dielectric suddenly changes its resistance in the presence of a strong electric field. This phenomenon underpins the behavior of devices such as memristors and neuromorphic memories. In Advanced Materials, Prof. Manfred Martin of...
How Accurately Can Digital Computers Model Chaos?
A new study shows fundamental limitations to the computer-based simulation of chaotic systems with implications in climate change modeling, weather forecasts, and machine learning.
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