Specialized search for Machine Learning

Curated ML indexes and signals

4MachineLearning is a focused search engine and resource hub for Machine Learning. We combine multiple specialized indexes, relevance signals, and AI-assist features to help researchers, engineers, students, and decision makers find ML content more efficiently. Use the search to locate papers, datasets, code, preprints, tutorials, tools, and vendor offerings tailored to ML workflows. Part of the 4SEARCH network of topic specific search engines.

1.
aol.com
aol.com > articles > trump-artificial-intelligence-order-gets-164500077.html

Trump’s artificial intelligence order gets bipartisan pushback in Ohio

1+ day, 23+ hour ago A Democrat and a Republican lawmaker in Ohio are pushing back against President Donald Trump's plan to take power from the state when it comes to artificial intelligence regulations. The two join a ......

2.
The Business Standard
tbsnews.net > features > big-picture > elections-age-artificial-intelligence-1313761

Elections in the age of Artificial Intelligence

Elections in the age of Artificial Intelligence2+ day, 4+ hour ago Friday December 19, 2025 Elections, once shaped by rallies, leaflets and television debates, are now increasingly contested in a space where truth itself can be generated, manipulated and scaled by machines. The panel on "AI and Governance in Asia", hosted by International…...

3.
Yahoo Finance
finance.yahoo.com > news > 2025s-top-machine-learning-platforms-213500519.html

2025's Top Machine Learning Platforms for Advancing AI Strategy Identified Through User Feedback by Info-Tech Research Group

2+ day, 7+ hour ago The recently published 2025 Machine Learning Emotional Footprint Report from global IT research and advisory firm Info-Tech Research Group highlights the top machine learning platforms that help organizations accelerate AI adoption, enhance model performance, and improve operational efficiency. The report's insights…...

4.
@LC_GC
chromatographyonline.com > view > a-novel-machine-learning-method-for-predicting-retention-time-of-small-molecule-pharmaceutical-compounds-across-reversed-phase-hplc-columns

A Novel Machine Learning Method for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-phase HPLC Columns | LCGC International

A Novel Machine Learning Method for Predicting Retention Time of Small Molecule Pharmaceutical Compounds Across Reversed-phase HPLC Columns | LCGC International2+ day, 7+ hour ago What specific challenges or unmet needs in pharmaceutical chromatography inspired you to embark on this research project (1)? Why was it important to move beyond traditional single-column quantitative structure retention relationship (QSRR) models for retention time prediction, especially in the context…...

5.
Analytics Insight: Latest AI
analyticsinsight.net > artificial-intelligence > ai-in-financial-services-machine-learning-and-automation-explained

AI in Financial Services: Machine Learning and Automation Explained

2+ day, 10+ hour ago AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across banking and investments. Machine learning strengthens fraud detection, credit scoring, and market predictions by learning from past data and…...

6.
The National Law Review
natlawreview.com > article > artificial-intelligence-regulation-crossroads-trump-administrations-preemption-push

Artificial Intelligence Regulation at a Crossroads: The Trump Administration’s Preemption Push

Artificial Intelligence Regulation at a Crossroads: The Trump Administration’s Preemption Push2+ day, 13+ hour ago On December 11, 2025, President Donald J. Trump signed the'Executive Order'(the "EO) entitled, "Ensuring a National Policy Framework For Artificial Intelligence. Aimed at establishing a unified national policy framework for AI, the EO attempts to significantly restrict states from independently regulating AI…...

7.
pv magazine USA
pv-magazine-usa.com

Machine learning models identify hidden physical defects in solar arrays

Machine learning models identify hidden physical defects in solar arrays2+ day, 14+ hour ago The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it. Image: American Public Power Association / Unsplash Researchers from Stony Brook University, in collaboration with Ecosuite…...

8.
Analytics Insight: Latest AI
analyticsinsight.net > machine-learning > how-ai-redaction-improves-data-quality-for-machine-learning

How AI Redaction Improves Data Quality for Machine Learning

3+ day, 16+ hour ago AI redaction improves data quality management for machine learning by protecting sensitive information, supporting HIPAA compliance, and strengthening artificial intelligence workflows....

9.
nanowerk.com
nanowerk.com > nanotechnology-news3 > newsid=68316.php

Machine Learning model predicts protein binding on gold nanoclusters for biomedicine

Machine Learning model predicts protein binding on gold nanoclusters for biomedicine3+ day, 16+ hour ago A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design of bioimaging, sensing and drug delivery materials. Machine Learning model predicts protein binding on gold nanoclusters for biomedicine A generalizable ML framework predicts protein interactions with…...

10.
the74million.org
the74million.org > zero2eight > pre-k-teachers-are-hesitant-to-use-artificial-intelligence-why

Pre-K Teachers Are Hesitant to Use Artificial Intelligence —Why?

Pre-K Teachers Are Hesitant to Use Artificial Intelligence —Why?3+ day, 22+ hour ago Did you use this article in your work? We'd love to hear how The 74's reporting is helping educators, researchers, and policymakers. Tell us how Jordy Berne is an associate economist at RAND, whose research focuses on economic opportunity, particularly…...