AlphaFold Changed Science. After 5 Years, It’s Still Evolving

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
CSOonline

Rowhammer attack can backdoor AI models with one devastating bit flip

Security researchers have devised a technique to alter deep neural network outputs at the inference stage by changing model weights via row hammering in an attack dubbed ‘OneFlip.’ A team of ...
IEEE

Self-Supervised Neural Networks for Precoding in MIMO Rate Splitting Multiple Access Systems

Abstract: The use of machine learning (ML) tools to address the challenges posed in next generation of wireless communication systems has been gaining significant momentum. In this paper, we ...
News Medical

Neural stem cell grafts show promise for myelin repair in multiple sclerosis

A study led by Cambridge researchers has shed light on how neural stem cell grafts could help restore myelin in the central nervous system. The findings suggest that neural stem cell-based therapies ...
Frontiers

Benchmarking of feed-forward neural network models for genomic prediction of quantitative traits in pigs

Artificial neural networks are machine learning models that have been applied to various genomic problems, with the ability to learn non-linear relationships and model high-dimensional data. These ...
Microsoft

Modeling health risks using neural network ensembles

This study aims to demonstrate that demographics combined with biometrics can be used to predict obesity related chronic disease risk and produce a health risk score that outperforms body mass index ...