Lumina News
Stay informed with our latest developments: insightful blog posts, product updates, press releases, and real-world use cases showcasing the power of RCL.
Press Releases
Lumina AI Launches PrismRCL 2.6.0 with Advanced LLM Training Parameter
Lumina AI, a leader in CPU-optimized machine learning solutions, announces the release of PrismRCL 2.6.0, the latest upgrade to its flagship software designed to push the boundaries of performance and efficiency in machine learning. This release introduces a highly...
Lumina AI Welcomes Jason Sultz to Advisory Board to Strengthen AI and Advanced Compute Expertise
Lumina AI, a leader in advanced machine learning solutions, is excited to announce the appointment of Jason Sultz to its Advisory Board. With extensive global experience spanning product marketing, engineering, business development, and sales leadership, Sultz brings...
Product
How Cross-Modal AI Frameworks Connect Text Images and Behavior using RCL®?
The upcoming AI wave isn’t about mastering any single data type and building on that. Rather, it will be about bringing them together. Enterprises these days are increasingly seeking a cross-modal AI framework that can unify structured data from different...
The AI in Cybersecurity: How RCL® Can Detect Changing Behavioral Patterns
Cyber threats are evolving - faster, smarter, and more difficult to detect.Traditional rule-based systems often fall behind, reacting only after an attack is underway. For this reason, cybersecurity teams are turning to AI, not just for detection, but for prevention....
Executive Insights
How Cross-Modal AI Frameworks Connect Text Images and Behavior using RCL®?
The upcoming AI wave isn’t about mastering any single data type and building on that. Rather, it will be about bringing them together. Enterprises these days are increasingly seeking a cross-modal AI framework that can unify structured data from different...
The AI in Cybersecurity: How RCL® Can Detect Changing Behavioral Patterns
Cyber threats are evolving - faster, smarter, and more difficult to detect.Traditional rule-based systems often fall behind, reacting only after an attack is underway. For this reason, cybersecurity teams are turning to AI, not just for detection, but for prevention....