In 1958, Frank Rosenblatt unveiled the perceptron in New York, laying the groundwork for image recognition in modern AI

A 1958 invention, the Perceptron, revolutionized computing by enabling machines to learn from experience, not just ...
AZoM

Berkeley Lab Uses Advanced Machine Learning to Optimize Chiral Perovskites

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...
Smithsonian Magazine

In the Early Days of Machine Learning, Massive Computers Said George Harrison Was a Woman. A.I. Has Come a Long Way

“Electronic ‘Brain’ Teaches Itself.” That was how the New York Times defined the Mark I Perceptron in a headline on July 13, 1958. Developed at Cornell University by psychologist Frank Rosenblatt (who ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
IEEE

Road Accident Prediction in Highways using Machine Learning Algorithms

Abstract: Road accidents are increasing day by day. In India, every year nearly 33% of road accidents take place in national highways and 23% in state highways. This paper focuses on predicting the ...
GitHub

PAST – Perceptron as Similarity Transformation

PAST is a Jupyter-based tool for learning three-dimensional similarity transformations between coordinate frames using a single-layer perceptron. The software reformulates the classical geodetic ...
The Conversation

TikTok’s new owner puts app’s algorithm in the spotlight – a social media expert explains how the ‘For You’ page works

Chinese tech giant ByteDance finalized its agreement to sell a majority stake in its video platform TikTok to a group of U.S. investors. TikTok announced on Jan. 22, 2026, that it has formed TikTok ...
Scientific Research Publishing

Nosratabadi, S., Ardabili, S., Lakner, Z., Mako, C. and Mosavi, A. (2021) Prediction of Food Production Using Machine Learning Algorithms of Multilayer Perceptron and ANFIS ...

ABSTRACT: Egg loss is one of the major problems in the egg hatching industry. This study aims to support farmers in optimizing their egg hatch through the development of a prediction model. This is to ...
techxplore

New algorithm enables efficient machine learning with symmetric data structures

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...