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.
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
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
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
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
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
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
As someone who has spent years navigating the exciting and unpredictable currents of innovation, I recently had the privilege of joining Chris Kalaboukis on his show, Think Future.… Read More »A vision for the future of AI: Guest appearance on Think Future 1039
Structured Query Language (SQL) analysis is key to extracting meaningful insights from heaps of raw data. This method is prevalent in many organizations across the… Read More »How to use an LLM for SQL analysis without connecting it to your database
Image by Gerd Altmann from Pixabay In September 2024, Salesforce AI Research EVP and Chief Scientist Silvio Savarese posted at the Salesforce 360 site on… Read More »Large action models and the promise of true agency
Image by David from Pixabay Mobile phones make it possible to secure and manage personal data on-device, which opens up a novel opportunity for both… Read More »Samsung and Apple’s knowledge-centric approaches to secure, personalized AI on phones
