Mathematical optimization for AI
Interview / Jerry Yurchisin, Sr. Data Scientist @ Gurobi As a lifelong systems thinker and technology advocate, I’ve long been fascinated by the intersection of… Read More »Mathematical optimization for AI
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Machine Learning
Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.
Emerging standards: Model Context Protocol
Interview with John McDonald When I first read about the Model Context Protocol (MCP), I was deep in designing a new cognitive memory system when it… Read More »Emerging standards: Model Context Protocol
Accounting for attention in speech-to-speech AI applications
The quantum leap forward in natural language technologies attributed to foundation models, LLMs, and modern vocal applications of AI is due in no small part… Read More »Accounting for attention in speech-to-speech AI applications
Are data scientists obsolete in the agentic era?
How AI agents are reshaping one of the most prestigious tech roles of the past decade In a corner office of a Fortune 500 company,… Read More »Are data scientists obsolete in the agentic era?
Exploring oversampling and under-sampling: Core techniques for balancing imbalanced datasets in ML
Introduction This article will address this issue using resampling techniques such as over-sampling and under-sampling, which help balance datasets and improve model performance. This core… Read More »Exploring oversampling and under-sampling: Core techniques for balancing imbalanced datasets in ML
Current state of machine learning and intelligent systems
Interview with Dr. Andrea Isoni – SHOW 16 Intelligent systems are evolving faster than ever, and keeping up with the latest advancements requires expertise, foresight,… Read More »Current state of machine learning and intelligent systems
Underpinning advanced machine learning models with GPUs
Although it’s rarely publicized in the media, not everything about deploying—and certainly not about training or fine-tuning—advanced machine learning models are readily accessible through an… Read More »Underpinning advanced machine learning models with GPUs
How to ensure data consistency in machine learning
Machine learning enables systems to analyze data and make decisions without manual intervention. However, reliability hinges on the quality of the information they use. Data… Read More »How to ensure data consistency in machine learning
Optimizing data center energy consumption with predictive analytics
Data centers are consuming a massive amount of power. The easiest solution is to raise temperatures, driving resource utilization down. However, that complicates hardware preservation… Read More »Optimizing data center energy consumption with predictive analytics
How AI can turn audio recordings into accurate images
AI’s sudden surge in popularity and capabilities empower research teams to enhance its versatility for broader use. The University of Texas at Austin (UT) recently… Read More »How AI can turn audio recordings into accurate images