JD Supra

Netherlands Publishes Draft Amendments Implementing EU Pay Transparency

In January 2026, the Netherlands published draft legislation to transpose the EU Pay Transparency Directive by amending its ...
Asset Servicing Times

Global reporting rules are increasing adoption of standardised token identification

Global tax transparency laws and anti-money laundering (AML) obligations are steering the implementation of standardised identification systems, as regulators and financial institutions pursue a ...
MIT Technology Review

The Pentagon is planning for AI companies to train on classified data, defense official says

The generative AI models used in classified environments can answer questions but don't currently learn from the data they ...
IEEE

Enhancement of the Classification Performance of Fuzzy C-Means With a Nonlinear Transformation Strategy for Data Structures

Abstract: Clustering provides a powerful technique for data analysis and data interpretation in the current complex background. Fuzzy clustering has gained significant attention in both research and ...
BioSpace

Structure Therapeutics Reports Positive Topline Data from ACCESS Program for its Once-Daily Oral Small Molecule GLP-1 Receptor Agonist, Aleniglipron

Placebo-adjusted mean weight loss of 11.3% (27.3 lbs) with 120 mg dose in the 36-week Phase 2b ACCESS study with a 10.4% adverse event-related treatment discontinuation Placebo-adjusted mean weight ...
univdatos

Spend Data Classification: From a Messy Spreadsheet to a Strategic Goldmine

Most companies have a lot of useful data in their procurement departments, but it's hard to find because it's all over the place. You have a lot of purchase orders, invoices, and records from ...
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging (DTI) to ...
Scientific Research Publishing

Optimization of Data Structure in Classification and Clustering Problems ()

The paper is devoted to the optimization of data structure in classification and clustering problems by mapping the original data onto a set of ordered feature vectors. When ordering, the elements of ...
TechRepublic

The Unstructured Data Mandate for AI Success

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.
Frontiers

Enhanced visibility graph for EEG classification

Electroencephalography (EEG) holds immense potential for decoding complex brain patterns associated with cognitive states and neurological conditions. In this paper, we propose an end-to-end framework ...
C&EN

Unveiling Spectrum–Structure Correlation in Vibrational Spectroscopy: Task-Driven Deep Learning Classification Balancing Global Fusion and Local Extraction

State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, College of ...