Pinaki Laskar on LinkedIn: #ai #machinelearning #deeplearning #robotics #nlp #computing

What is IAI, or Interactive Machine Intelligence and Learning? Its key feature, power, ability and capacity is to effectively and efficiently interact with the world by measuring, detecting, identifying, interpreting, processing, registering, computing and manipulating all the key variables from any its complex environments. The IAI scans huge amounts of Internet/web data and searches for causal patterns and real dependencies in it to give recommendations, provide communication and take actions. The IAI could be implemented as Automated Hyper-Intelligence (AHI) or Hyper-Intelligent AI, embracing all the meaningful approaches, technologies, techniques, methods, models and algorithms of reactive AI: IAI Trans-AI Meta-AI Hyper-Intelligent AI Computerized Hyperintelligence Data Computing Reactive AI [ANNs Symbolic AI Statistical AI Machine Learning Deep Learning NLP Explainable AI Causal AI Narrow AI Internet of Things Robotics] General AI Super AI Quantum AI The core of the IAU machine is not advanced hardware and sophisticated software, AI techniques, ML algorithms and NLP, but an interactive World [Learning and Inference] Model Platform. It is based on "an interactive common sense world [knowledge and intelligence] model, the essence of any real hyper-intelligent systems, natural or artificial". All today's AI is of the reactive machine type, be it with limited memory or not It is just reacting to current scenarios and existing conditions and prompts, without real learning capacities, having specific tasks without other capabilities, responding to the identical situations in the same way every time the same scenarios appear, thus failing to interact with the world.