Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Tech Xplore

New computational method combines modern density functional with adaptive algorithm to predict semiconductor properties

Semiconductors are central to modern technology. They are used in computer chips, solar cells, sensors, LEDs and ...
AZoRobotics

Can AI Run Its Own Data Centers?

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...
Frontiers

Computational Methods and Data-Driven Approaches in Cardiovascular Modeling

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...
IEEE

Substructure-guided Deep Graph Learning in Molecular Toxicity Prediction

Abstract: Computational toxicity prediction has become a key component in modern drug discovery. Although machine learning or deep learning techniques have reformed this field in recent years, more in ...
The New York Times

A.I. Replica of Val Kilmer to Appear in Film After His Death

Kilmer’s estate collaborated with the filmmakers to make a digital likeness of the actor, who died of cancer last year. By Reggie Ugwu A photorealistic A.I. likeness of Val Kilmer, the “Top Gun,” ...
IEEE

Enhancing Marketing Strategies through Deep Learning: A Computational Approach

Abstract: In an increasingly digitized marketplace, traditional marketing models struggle to capture the complexity of evolving consumer behaviors and multi-channel interactions. To address these ...
Frontiers

Graph neural networks with configuration cross-attention for tensor compilers

With the recent popularity of neural networks comes the need for efficient serving of inference workloads. A neural network inference workload can be represented as a computational graph with nodes as ...
C&EN

A Comparative Evaluation of Machine Learning and Deep Graph Learning for Chemical Ecotoxicological Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...
EurekAlert!

Uncertainty-aware fourier ptychography: A differentiable paradigm for resilient computational imaging

The Uncertainty-Aware Fourier Ptychography (UA-FP) framework marks a transformative milestone in computational imaging, revolutionizing the way we address system uncertainties. This innovative ...