The Walrus

When Evidence Can Be Deepfaked, How Do Courts Decide What’s Real?

When a crime occurs in private, with no witnesses, a court contest is a tussle in which two stories compete to offer the most plausible explanation of the same facts. Photographs and audio recordings ...

The Dangerous Power of Prediction Markets

How prediction machines have become infrastructure for the legitimacy of event outcomes, no matter how outlandish.

Five enterprise security predictions for 2026 for Australia’s most critical services

In 2026, AI will redefine cyber conflict. It’s already embedded in criminal toolkits and, alongside machine learning, it will standardise attack and defence tactics according to Kinetic IT, one of ...

Earlyworks Closes Acquisition and Rebrands as Perpetuals.com (NASDAQ: PDC), Targeting the Multi-Trillion-Dollar Global Derivatives Market

Earlyworks Co., Ltd. today announced the successful completion of its acquisition of Perpetual Markets Ltd. Accordingly, the company has rebranded ...
Opinion
NewsDay ZimbabweOpinion

Leveraging AI to achieve peace, justice, good country governance

Peace, justice, and good country governance form the indispensable foundation for sustainable national development. They create the stability, fairness, and institutional integrity needed for ...

NetraMark Announces Private Placement Financing

NetraMark Holdings Inc. (the “Company” or “NetraMark”) (CSE: AIAI) (OTCQB: AINMF) (Frankfurt: PF0), a premier artificial intelligence (AI) company transforming clinical trials with ...
IEEE

Machine learning based prediction of burglary crime probability

The acceleration of global urbanization has led to theft becoming the most common type of crime. Theft includes various forms such as burglary, shoplifting, and car theft, and accounts for a large ...

Sensormatic Solutions Expands Shrink Analyzer, Introduces New ML Applications That Can Help Uncover ‘What, When and Where’ of Total Retail Loss

Sensormatic Solutions, the leading global retail solutions portfolio of Johnson Controls (NYSE: JCI), today announced the next big step for its Shrink Analyzer application. The first-of-its-kind, ...
Journal of Medical Internet Research

Using Machine Learning Methods to Predict Early Treatment Outcomes for Multidrug-Resistant or Rifampicin-Resistant Tuberculosis to Enhance Patient Cure Rates: Development and ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Frontiers

Integrating meteorological and breeding data to predict maize yields using machine learning algorithms

Introduction: Accurate crop yield prediction is vital for ensuring global food security, particularly amid growing environmental challenges such as climate change. Although deep learning (DL) methods ...