JD Supra

ITAR & AI-Enabled Defense Technologies: Autonomous Systems, Targeting Algorithms, and the New Export-Control Frontier

Executive Summary - Artificial intelligence has moved from research laboratories into deployed defense systems: autonomous ...
Detroit Free Press

EPC Group Expands Power BI Copilot With Enterprise Multi-Model AI Architecture

New architecture integrates Copilot, Azure OpenAI, Claude, and Perplexity to transform Microsoft Power BI into an AI-driven enterprise decision platform. At most organizations, Copilot is only the ...
Tech Xplore

'Privacy by design': Tech protects against identity leaking during AI photo editing

Consumers, businesses, and institutions may soon have private, secure, and trustworthy generative AI tools for editing and sharing profile photos, ID images, and personal pictures without exposing ...

STMicroelectronics accelerates AI-enhanced motor control with machine-learning software pack

Pre-configured to identify normal, high-vibration, and unstable motor conditions STMicroelectronics (NYSE:STM)GENEVA, ...
Devdiscourse

Why AI systems struggle with identities that resist fixed labels

A new academic study argues that the structural reliance of artificial intelligence (AI) systems on classification models creates significant challenges when AI systems attempt to represent fluid and ...
northpennnow

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
InfoQ

Why Most Machine Learning Projects Fail to Reach Production

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
IEEE

Federated Learning for Medical Image Classification: A Comprehensive Benchmark

Abstract: The federated learning (FL) paradigm is well-suited for the field of medical image analysis, as it can effectively cope with machine learning on isolated multi-center data while protecting ...
Frontiers

Explicating the trust process for effective human interaction with artificial intelligence and machine learning systems

Artificial intelligence (AI) and machine learning (ML) are rapidly changing the landscape of almost every environment. Despite the burgeoning attention on this subject matter, limited human-centered ...
The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...
Scientific Research Publishing

Modelling a Hybrid System: Deductive System and Machine Learning ()

This research presents a mathematical model of medical decision support systems that combines the predictive approach of machine learning with the deductive approach of expert systems. This modeling ...