IEEE

BinaryCAN: Learning Compact Binary Embeddings From Automotive CAN Bus Data

Abstract: Modern vehicles generate high-frequency, multivariate data streams from the Controller Area Network (CAN) bus, the fundamental digital nervous system for in-vehicle communication. Although ...
news.ucsc

Effort aims to uncover the learning and reasoning potential of brain organoids

Assistant Professor of Biomolecular Engineering Tal Sharf holds up a specialized chip for recording electrical activity in brain organoids. Artificial intelligence (AI) has proven its incredible ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
C&EN

Optimizing Multi-Task Learning with Evolutionary Relatedness Metrics for Enhanced QSAR-Based Natural Product Activity Prediction

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...
Frontiers

Deep learning-based prediction of cerebral white matter hyperintensity burden using carotid magnetic resonance angiography

Purpose: White matter hyperintensities (WMHs) are key neuroimaging markers of cerebral small vessel disease (cSVD), associated with cognitive decline and increased stroke risk. We aimed to investigate ...
GitHub

NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. A salient feature ...
Microsoft

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning

The increasing prevalence of large language models (LLMs) such as GPT-4 in various applications has led to a surge in the size of prompts required for optimal performance, leading to challenges in ...
The New York Times

Head of S.E.C.’s Crypto Task Force Says ‘Tokenized’ Stocks Are Securities

Hester M. Peirce said in a statement Wednesday that digital versions of stocks are still subject to federal securities laws. By Matthew Goldstein The head of the Securities and Exchange Commission’s ...