Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...
Cardiovascular disease is the leading cause of death worldwide. Hypertension, as one of the predisposing factors of cardiovascular disease, is an important reason for the high incidence of ...
In this special guest feature, Ori Geva, Co-Founder and CEO of Medial EarlySign, discusses how the ue of machine learning can help create new opportunities for earlier intervention and delivery of ...
Recent advancements in machine learning have significantly impacted the domain of high-speed electronic systems. By leveraging state‐of‐the‐art algorithms and novel network architectures, researchers ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
How deep learning enhances rule-based machine vision in quality and process control inspection applications. How edge learning compares to deep learning in machine-vision applications. Which ...
Keysight Technologies has introduced a new Machine Learning Toolkit as part of its latest Device Modelling Software Suite, aiming to reduce the time required for semiconductor device modelling and ...
What is a dynamically reconfigurable processor (DRP)? How DRPs accelerate machine-learning applications. Why is the RZ/V2H well-suited for robotic apps? Renesas's RZ/V2H system-on-chip (SoC) is the ...
Scientists have previously only gotten 'synaptic transistors' to work under cryogenic conditions, but this is the first that can operate at room temperature — while outperforming today's best-in-class ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results