Deep learning reveals how auditory cortex neurons split up natural sound coding

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.
CubsHQ

Why the Cubs’ PCA extension could be a massive bargain

It was officially announced on Friday that Pete Crow-Armstrong and the Cubs had agreed to a six-year, $115 million contract extension beginning in 2027. PCA wil ...
Analytics Insight

Machine Learning, Stanford University

Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

Nvidia says it can shrink LLM memory 20x without changing model weights

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...
PharmiWeb

Johnson & Johnson Announces FDA Approval of TECNIS PureSee Intraocular Lens, a Breakthrough Solution for U.S. Cataract Patients

TECNIS PureSee IOL197% of patients would recommend this IOL to friends or family2TECNIS PureSee IOL is the first and only U.S. FDA-approved extended depth of focus (EDOF) IOL maintaining contrast ...
IEEE

Frequency hopping patterns design based on objective optimization algorithm

Abstract: Frequency hopping (FH) is a classical anti-jamming technique widely used in military and civil communication. Differential FH and cognitive FH ensure communication reliability by the ...
GitHub

Fashion-MNIST Unsupervised Clustering

PCA + MiniBatch KMeans offers a strong trade-off between performance and computational cost. SAE + DBSCAN produces high-quality clusters but requires significantly more training time. Visual ...
IEEE

Investigation on PCA and LDA Feature Extraction Algorithms with KNN Classifier Targetting to Improve Diagnostic Accuracy into Detection of Breast Cancer Malignancy

Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...