Personalized algorithms can quietly limit what people explore while making them feel more certain they understand a topic.

A Consumer Reports and Groundwork Collaborative investigation found that some grocery prices differed by as much as 23 percent per item from one Instacart customer to the next. In an inadvertently ...

Introduction: The learning process is characterized by its variability rather than linearity, as individuals differ in how they receive, process, and store information. In traditional learning, taking ...

Abstract: We propose an online learning algorithm tailored for a class of machine learning models within a separable stochastic approximation framework. The central idea of our approach is to exploit ...

A professor warned that AI is making students dependent on Big Tech's algorithms for knowledge. Anthropic data shows students already use AI to write, edit, and even solve assignments directly.

Spiking Neural Networks (SNNs) are promising for neuromorphic computing due to their biological plausibility and energy efficiency. However, training methods like Backpropagation Through Time (BPTT) ...

'EVE Frontier' developers Helgi Freyr Rúnarsson and Guðlaugur Jóhannesson talk galaxy merger models, black holes, and the thin line between science and fun. When you purchase through links on our site ...

Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical University, Guilin, China Background: Liver metastasis is the most common site of metastasis in pancreatic ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

Abstract: This paper investigates the adaptive optimal output regulation of completely unknown linear time-invariant systems. First, a dynamic state feedback control policy with assured convergence ...