Using Unstructured Content For Agentic AI: A Big Enterprise Bottleneck

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.
Morning Overview on MSN

Scientists build a ‘periodic table’ for AI models

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
The Indianapolis Star

OSAA makes classification decision on Cascade, Salem-area schools

Cascade High School will remain a Class 4A school after the Oregon School Activities Association came to a final decision Dec. 15 on the classifications for all high schools for the 2026-30 school ...
IEEE

Bayesian Decision-Theoretic Prediction with Ensemble of Meta-Trees for Classification Problems

Abstract: Decision tree algorithms are one of the most popular methods in machine learning. However, most decision tree algorithms do not assume a stochastic model behind data. On the other hand, a ...
Morningstar

A First-of-Its-Kind, Formula-Free Guide to AI and Machine Learning for Decision Makers, by Corina J. Shtir, PhD

SAN DIEGO, Nov. 18, 2025 /PRNewswire/ -- AI and Machine Learning Unpacked: A Practical Guide for Decision Makers in Life Sciences and Healthcare by Corina J. Shtir ...
The National Law Review

Landmark Patent Appeal Decision Strengthens Protection for AI and Machine Learning Innovations

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...
Finextra

Digital Banking Software and the Role of Machine Learning in Decision Making

The financial sector is undergoing a rapid digital transformation, and digital banking software lies at the heart of this shift. From mobile apps to AI-powered advisory tools, these systems provide ...
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 ...
SciELO

COMPUTATIONAL VISION FOR TOMATO CLASSIFICATION USING A DECISION TREE ALGORITHM

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...
Scientific Research Publishing

Alharbi, A.A. (2024) Classification Performance Analysis of Decision Tree-Based Algorithms with Noisy Class Variable. Discrete Dynamics in Nature and Society, 2024, Article ID ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...