Paw-sitively brilliant: Some dogs can classify their toys by function, new study finds

It’s a mental trick called “label extension.” Humans use it when we realize a hammer and a rock can both drive a nail, or that a mug and a glass both count as “cups.” ...

From Few Samples to Thousands! MachineLearningLM Equips Large Models with a 'Machine Learning Engine' for Contextual Learning

Although large language models (LLMs) possess extensive world knowledge and strong reasoning capabilities, and are widely regarded as excellent few-shot learners, they still exhibit significant ...

MachineLearningLM Equips Large Models with a 'Machine Learning Engine' for Context Learning

Despite large language models (LLMs) possessing extensive world knowledge and strong reasoning capabilities, they are widely regarded as excellent few-shot learners; however, they still exhibit ...
EMBO Press

A call for a unified and multimodal definition of cellular identity in the enteric nervous system

The enteric nervous system (ENS), the largest division of autonomic nervous system, is a tantalizing frontier in neuroscience. With the advent of single-cell transcriptomics, the ENS has been ...
Hosted on MSN

Never Stop Learning: 8 Examples of People Doing Amazing Things After 60

CVS, Walgreens pull back COVID vaccines in more than a dozen states following new guidelines Trump is on a collision course with Ireland – and it could spell economic disaster Teen girl missing for 17 ...
San Francisco Fed

Precision Without Labels: Detecting Cross-Applicants in Mortgage Data Using Unsupervised Learning

We develop a clustering-based algorithm to detect loan applicants who submit multiple applications (“cross-applicants”) in a loan-level dataset without personal identifiers. A key innovation of our ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
IEEE

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

Artificial intelligence (AI) has become a foundational technology across countless industries, but the question of when machine-learning (ML) inventions are patent-eligible remains a nebulous target.
Visual Studio Magazine

Predicting the Future Using Azure Machine Learning

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
GitHub

Machine Learning (ML) in Software Development

Organizations and developers all over the world use GitHub Copilot to code faster, drive impact, and focus on doing what matters most: building great software. Start using GitHub Copilot today!