Unparalleled Solutions for Complex Challenges
Evolved AI® - AI Made Smarter™
At Lone Star Analysis, we’ve made AI smarter, a lot smarter. Evolved AI® (EAI™) is used by our customers today to create generative results faster than humans and succeed where mainstream AI has failed in the past.
Lone Star solutions authored on our TruNavigator® MAX platform come with EAI™ injection capabilities. Evolved AI® is a cutting-edge technology designed to tackle the complex challenges faced by organizations today.
When Evolved AI® is utilized for business decisions or real-time analytics, the best options for process management, signal processing, the Internet of Things, and many other applications can be generated automatically.
EAI™ is especially well-suited for applications involving generative AI. Our peer-reviewed publications and customer successes demonstrate that EAI can autonomously generate designs and answers without human intervention. EAI can carry out generative tasks in fields where previous AI models have not been successful.
Traditional Artificial Intelligence is big data dependent, requires massive computational resources, and is fragile in the face of noise and novel data. This perverse combination often “breaks the math” that powers mainstream AI. Evolved AI®, on the other hand, is usually more accurate, always uses less data, is extremely robust, and can run on a laptop!
Evolved AI® is more robust (less fragile in the face of noise and novel data) partly because it supports decision hierarchy to inhibit failures. The lower data requirements of EAI® mean faster training and deployment. Additionally, it dramatically reduces the computational power traditionally needed to process AI. This combination delivers optimized performance, enabling deployment on-premises, air-gapped, in the cloud, or at the edge.
How Evolved AI® Can Be Used
- Signal identification, classification, and automated cuing for analysts
- Autonomous signal classification
- Generative signals analysis products
- Image recognition
- Automated design optimization and systems assessments
- Generative process management optimization
- Integrated AI/MBSE and design optimization
- Generative AI applications (First Order AI Design)
- Integrated operation with earlier-generation (mainstream) AI
- Condition-Based Predictive and Prescriptive Maintenance
- Clustering, including unsupervised clustering
What Makes Evolved AI® Better?
Evolved AI®:
- Is truly predictive and able to “see” futures which are not in the training data
- Is big data optional, needing less training data – 1/10th the data or less than mainstream AI
- Has demonstrated to be more accurate even with less data
- Operates faster – 80 x faster in one benchmark, 160 x against a state-of-the-art FFT-based solution
- Is more robust – Not confused by noise or operational uncertainty, resistant to spoofing, deception, and disinformation (100% drone detection vs. flock of birds)
- Has a much smaller computational footprint – can run on a laptop or at the edge, making cloud optional
- Supports users at all levels of AI sophistication and domain knowledge
- Is easy to upgrade and blend with new processing systems – MBSE tools (CAMEO and Innoslate), MATLAB, etc.
- Naturally allows “hybrid” AI, which can be “taught” what we know, as well as “learn” from data