QAI (Quantum Artificial Intelligence)
A revolutionary new unbiased reinforcement learning AI
QAI is a revolutionary new unbiased reinforcement learning AI. QAI is a real-time, turn-key platform, and at the same time a server, and an application development and p2p VM OS for massively threaded GPU/FPGA secure high performance machine learning.
QAI serves as an approximate computational oracle machine, enabling real-time NP-Hard / NP-Complete dynamic optimization, real-time machine learning that is model free, requires no training, is unbiased and scales indefinitely.
In QAI, dynamically evolving world models are generated by measuring quantum information entropy, which results in provably optimal (self-organizing/optimizing) models. Further, these QAI models tell you what you can never know given a set of data inputs.
QAI Requires No Training; Is Unbiased
~ BIAS ~ the biggest challenge in machine learning
(View links below to understand the value of solving this problem)
Forget Killer Robots—Bias Is the Real AI Danger (MIT Technology Review)
Inspecting Algorithms for Bias (MIT Technology Review)
Google fined $21.1M for search bias in India (TechCrunch)
Training AI to be unbiased must be a priority, not an afterthought (City A.M.)
Why it’s so hard to create unbiased artificial intelligence (TechCrunch)
QAI's Initial Focus:
Real-Time Blockchain Analytics, Security and Performance
Blockchain Mining & Pruning
QAI Cognitive Reactors(TM) are applied to NP-Hard and NP-Complete real-time challenges. Blockchain applications offer a number of examples of such challenges, including cryptanalysis and data analytics. Implemented using an edge node agent-based approach, QAI's "plug and play architecture" is a natural fit for both public and private blockchain analytics, security and performance applications.
Visit Blockchain Mining & Pruning.