News

Exploring interpretable machine learning
I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...
Communications of the ACM2d
Thinking Fast and Slow in Human and Machine Intelligence
To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...
TMCnet3d
VisiQuate Acquires Etyon to Supercharge Insight Automation and Denials Management for Healthcare Providers
SANTA ROSA, Calif., July 1, 2025 /PRNewswire/ -- VisiQuate, a leader in AI-powered revenue cycle management (RCM), today announced its acquisition of Etyon, a healthcare technology company recognized ...
RCR Wireless News5d
AI in telecom – levelling-up with gen AI (beyond ML automation)
From call centres to back-office systems, telcos are navigating the shift from predictive ML to generative AI, balancing ...
Medical Xpress1mon
Specific learning strategies can enhance AI model effectiveness in hospitals - Medical Xpress
Specific learning strategies can enhance AI model effectiveness in hospitals by Sandra McLean, York University edited by Lisa Lock, reviewed by Robert Egan Editors' notes ...
GitHub5mon
SoftwarePatternsLexicon.com/content/machine-learning/domain-specific-patterns/smart-cities/noise-monitoring/index.md at main · MasteryEducation ... - GitHub
Introduction Urban noise pollution is a growing issue that can impact public health and the overall quality of life in cities. Noise Monitoring is a machine learning design pattern dedicated to ...
marktechpost11mon
This AI Paper from Microsoft Present RUBICON: A Machine Learning Technique for Evaluating Domain-Specific Human-AI Conversations - MarkTechPost
Evaluating conversational AI assistants, like GitHub Copilot Chat, is challenging due to their reliance on language models and chat-based interfaces. Existing metrics for conversational quality need ...
marktechpost11mon
Augmentoolkit: An AI-Powered Tool that Lets You Create Domain-Specific Using Open-Source AI - MarkTechPost
Meet Augmentoolkit, an AI-powered solution that simplifies and reduces the cost of creating custom datasets for AI models. This tool leverages open-source AI to generate high-quality data quickly and ...
unite1y
RAFT – A Fine-Tuning and RAG Approach to Domain-Specific Question Answering - Unite.AI
Explore the transformative technique of RAFT, a synergy of retrieval-augmented generation and fine-tuning for domain-specific language model proficiency, tailored for precision in open-book question ...