AI’s Memorization Crisis

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
International Monetary Fund

The Integration of Global Value Chain in the EU: Stylized Facts and Drivers

This paper examines EU global value-chain (GVC) integration and analyzes its drivers using machine learning models, with case ...
University of California

Rewriting the code: The inside story of the first CRISPR cure

Victoria Gray spent 34 years battling the debilitating pain of sickle cell disease. Then she volunteered to be the world's first "prototype" for a CRISPR therapy, based on technology invented at UC ...
MIT Technology Review

The Download: mimicking pregnancy’s first moments in a lab, and AI parameters explained

At first glance, it looks like the start of a human pregnancy: A ball-shaped embryo presses into the lining of the uterus ...
MIT Technology Review

Using unstructured data to fuel enterprise AI success

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

I'm a senior software engineer at Microsoft. My AI skills have helped me climb the ladder in my career — here's my advice.

Nandita Giri is a senior software engineer with experience at Amazon, Meta, and Microsoft. She recommends job seekers spend ...

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
IEEE

Learning the Optimal Discriminant SVM With Feature Extraction

Abstract: Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn ...
Law

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

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
IEEE

HSF: A Hybrid SVM-RF Machine Learning Framework for Dual-Plane DDoS Detection and Mitigation in Software-Defined Networks

Abstract: Software-defined networking (SDN) has revolutionized network management by centralizing control through software, thereby enabling dynamic traffic adjustments that are independent of the ...
Hosted on MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...