Lumina AI

Random Contrast Learning (#RCL) is a new style of machine learning that brings the power of #MachineLearning to #CPU based devices. Learn how the application of RCL to your ML workflows will allow for simple, fast, and accurate classification AI for CPU. 🚀📊 #AIforCPU #MachineLearning #Innovation #TechInsights #RandomContrastLearning #LuminaRCL #LuminaAI

As AI adoption grows, hardware limitations like GPU access are slowing progress. Lumina AI’s RCL technology offers a practical solution, designed to perform efficiently on CPU-based systems, allowing you to build AI systems today. Explore how RCL reduces dependency on specialized hardware at lumina247.com #AIforCPU #CPUbasedML

Happy Thanksgiving from all of us at Lumina AI! 🦃🍂 We’re incredibly grateful for our team, our partners, and the innovative AI community that inspires us every day. Thank you for being part of our journey. Wishing you and your loved ones a day filled with joy, reflection, and gratitude.

Efficiency in AI model training is crucial for business agility. Lumina AI's RCL technology incorporates auto-optimization, reducing the need for extensive manual tuning and accelerating time-to-market for AI solutions. Explore the benefits: https://lumina247.com/rcl/

As AI adoption accelerates, so do its resource demands. A recent The Wall Street Journal article highlights the growing environmental costs of AI, from electricity consumption to water use for cooling systems. These challenges put sustainability squarely on the agenda for organizations deploying AI at scale. At Lumina AI, we recognize that efficiency and sustainability are now critical to maintaining AI's promise. Our Random Contrast Learning (RCL) algorithm is designed to address these challenges head-on. RCL achieves computational efficiency, enabling significant reductions in energy and resource usage without compromising performance or scalability. For C-suite leaders, the call to action is clear: integrating sustainable solutions like RCL is not just a technical decision—it’s a strategic one. Balancing innovation with responsibility is essential as we shape the future of AI. How are you approaching sustainability in your AI strategy? Let’s start the conversation. 🔗 Read the WSJ article: https://lnkd.in/e_9YW2eU #RCL #AI #Sustainability #Leadership #Innovation

We’re thrilled to announce that Jason Sultz has joined Lumina AI’s Advisory Board! Jason brings unparalleled expertise in AI, machine learning, and advanced compute solutions, honed through global leadership roles at HP and Hewlett Packard Enterprise. With a proven track record of scaling AI and high-performance computing strategies globally, Jason will play a vital role in shaping Lumina AI’s future. At Lumina AI, our mission is to empower organizations with transformative AI technologies. With Jason’s guidance, we are more confident than ever in pushing the boundaries of machine learning innovation and delivering impactful solutions to our customers. Welcome to the team, Jason! We can’t wait to see the impact of your leadership and vision. Read the Press Release in full: https://prn.to/3ZdL1ax #ArtificialIntelligence #MachineLearning #AdvisoryBoard #Leadership #Innovation #AI

RCL provides remarkable classification and predictive power with 95% resource savings over traditional #MachineLearning models. By leveraging CPUs and reducing heat output, RCL is ready to support data centers facing GPU power challenges. #AI #PowerEfficiency #CloudComputing Learn more about Random Contrast Learning here: https://lumina247.com/rcl/

Exciting times ahead! Lumina AI is expanding to Menlo Park to deepen collaborations and accelerate AI-driven innovation. This strategic move will help us engage with top tech innovators and industry leaders, propelling the next phase of growth for our cutting-edge machine learning solutions. 🚀 Learn more: https://prn.to/3YIaZS9 #LuminaAI #MachineLearning #RCL

Random Contrast Learning's strength lies in its versatility. Our latest video highlights how Random Contrast Learning (RCL) adapts to various data types and industries, delivering faster, more efficient results. No specialized hardware required. Watch to learn how RCL is driving the future of AI versatility! https://lnkd.in/eSnjad-3 #RandomContrastLearning #RCL #AIforCPU #MedicalImaging #AutonomousDriving

We’re excited to introduce PrismRCL™ 2.5.0, our most powerful release yet! 🚀 This new version not only retains all the features you know and love but also brings significant enhancements, including: Enhanced Auto-Optimization: Automatically optimizes additional parameters like directional, patternreduce, and skipzero for even better performance. New Evaluation Methods: Added softmax, chisquaredpair, naivebayespair, and softmaxpair methods for more flexible model assessment. Improved Performance: Parallelized (and therefore faster) image loading, improved image caching during auto-optimization and training, and better optimization for black/white images. Experience the new features today with a 30-day free trial on your Windows machine: https://lnkd.in/eZrqaXNA #LuminaAI #PrismRCL #AIforCPU #MLonWindows