Scientists use string theory to crack the code of natural networks

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...
Tech Xplore

Energy system optimization model developed for pathways to net-zero greenhouse gas emissions for Southeast Asia

Could Southeast Asia become carbon neutral by 2050, even as energy demand increases? The region is growing quickly and still ...
American Hospital Association

Building a Sustainable Physician Workforce through Virtual Care

Building the Clinical and Operational Infrastructure for a Sustainable Future, sponsored by AmplifyMD, explores how integrated virtual specialty care models are helping hospitals extend scarce ...
IEEE

Hierarchical Multistate Optimization Based on Bayesian Nested Improved Meta-Heuristic Algorithm for Reconfigurable Bandpass Filter

Abstract: This letter proposes a hierarchical multistate optimization (HMO) method for the microstrip reconfigurable bandpass filter (RBPF). HMO algorithm nests the inner global optimization algorithm ...
IEEE

A Global Multi-Objective Bayesian Optimization Framework for Generic Machine Design Using Gaussian Process Regression

Abstract: Duringthe design of electrical machines, multiple performance objectives need to be considered. Although stochastic optimization algorithms are extensively employed for this purpose, a ...
GamesRadar+

Larian lead says RAM shortage is affecting Divinity's development, calling for "a lot of optimization work in early access that we didn't necessarily want to do"

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In a new interview with TheGamer, Vinckee explains that the ongoing RAM shortage (one that ...

How Bayesian testing lets Google measure incrementality with $5,000

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better decisions.
GitHub

pyaerial: scalable association rule mining

PyAerial is a Python implementation of the Aerial scalable neurosymbolic association rule miner for tabular data. It utilizes an under-complete denoising Autoencoder to learn a compact representation ...