Tech Times

Brain-Like Learning Rule Cracks Convolutional Networks: Sakana AI Measures the Biology Tax

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...
GitHub

Remaining Useful Life (RUL) prediction of rolling element bearings using vibration signal analysis, feature engineering, FFT-based features, and machine learning models (Random ...

This project predicts the Remaining Useful Life (RUL) of industrial bearings using vibration signal analysis and machine learning. Unlike common bearing fault detection projects that use artificially ...
Kotaku

Steam Machine Reviews Are In And They Are Far From Glowing: ‘There Is No Path That I Can Trace That Will Lead To Acceptable Performance On This Hardware’

The Steam Machine is finally here. People can sign up to get on the waiting list for the first units to ship and reviewers have already gone hands-on with Valve’s new device. It’s pricey, but is it ...
Kotaku

Here’s What The Steam Machine Might Have Cost If AI Hadn’t Screwed Everything Up

Damn, okay. The Steam Machine is expensive. Over $1000 for just the base model, and even more if you want more storage or a Steam controller. And if that price has your eyes popping out of your head, ...
The Lancet

Development and validation of a generalisable machine learning algorithm for identifying interstitial lung disease cohorts: a retrospective cohort study

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...
IEEE

Quantum Machine Learning: Recent Advances, Challenges, and Perspectives

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
IEEE

K-Nearest Neighbors in Machine Learning: Theory, Practice, and Advances

Abstract: K-Nearest Neighbors (KNN) is a basic model in a ML field used for classification or prediction analysis owing to its efficiency. The following paper will be a survey paper focused on ...