Scientists Create a “Periodic Table” for Artificial Intelligence

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
IEEE

Frequency-Aware Multi-Task Forecasting for Integrated Energy Systems via Variational Mode Decomposition and Convolution-Attention Encoding

Abstract: Integrated Energy Systems (IESs) integrate electricity, heating, cooling, and gas through coupled infrastructures, posing forecasting challenges due to heterogeneous temporal patterns and ...
pharmaphorum

MSD's $345m alliance with Variational, and other AI news

MSD has signed an agreement with Variational AI to use its generative AI (genAI) platform Enki in the discovery of new small-molecule medicines. Vancouver, Canada-based Variational – which emerged in ...
Nature

Neural encoding articles from across Nature Portfolio

Neural encoding is the study of how neurons represent information with electrical activity (action potentials) at the level of individual cells or in networks of neurons. Studies of neural encoding ...
IEEE

Rethinking Variational Bayes in Community Detection From Graph Signal Perspective

Abstract: Methods based on variational bayes theorytare widely used to detect community structures in networks. In recent years, many related methods have emerged that provide valuable insights into ...
GitHub

getch-geohum/SSL-VAE

This is the implementation of code used for Self-Supervised Variational Autoencoder for Unsupervised Object Counting from Very-High-Resolution Satellite Imagery: Applications in Dwelling Extraction in ...
GitHub

Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations

Solving partial differential equations (PDEs) is a required step in the simulation of natural and engineering systems. The associated computational costs significantly increase when exploring various ...