Abstract: Online sequential extreme learning machine (OS-ELM) and its variants provide a promising way to solve data stream problems, but most of them do not take the timeliness of the problems into ...

Initially focused on analyzing full-motion video collected by military drones, Project Maven applied machine-learning algorithms to identify objects, recognize ...

Under the restrictions, all campfires, including charcoal briquette fires, are prohibited throughout the park.

Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...

More than planes are taking "flight" at Wright Patterson Air Force Base. Millions of calculations are whizzing inside of the ...

UF researchers are developing a warning system to predict risky water conditions and alert the public to dangerous bacteria ...

ELM was originally proposed to train "generalized" single-hidden layer feedforward neural networks(SLFNs) with fast learning speed, good generalization capability and ...

Amazon plans to scale its micro fulfilment centres and urban fulfilment centres to house an expanded selection of daily ...

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...

With peak wildfire season underway in California, PG & E's Chief Meteorologist Scott Stenfel held a virtual Wildfire Season ...

Four wildly different machines reveal where American performance is now and where it’s headed next.

Abstract: Extreme learning machine (ELM) is suitable for nonlinear soft sensor development. Yet it faces an overfitting problem. To overcome it, this work integrates bound optimization theory with ...