Tag Archives: facial recognition

All the Chat about Artificial Intelligence, & most Chatbots are misleading. Most Chatbots aren’t built to, nor deliver Cognitive AI. They claim the ability to listen to spoken words and use algorithms to return calculated, mostly human programmatic responses.

All the Chat about Artificial Intelligence, & most Chatbots are misleading. Most Chatbots aren’t built to, nor deliver Cognitive AI. They claim the ability to listen to spoken words and use algorithms to return calculated, mostly human programmatic responses. Some are able to reformat information into a nice, articulated convincing looking final document which may have some accurate information, only if that information is supplied by you or if it came from a more current internet knowledge base, which many Chatbots admit they do not use. In too many cases the information is outdated and inaccurate. They claim to follow templets to construct things like poems, pictures or school papers that may contain older or non-credible data.

However, how many customers or researchers are looking for poetry or book reports?  EPIC-AIM believes we are successfully reverse engineering and mimicking our human brain, however a computer can process exponentially more data in less time than our human brains are capable of.

AI must replicate the brain’s process of reading, validating, retaining, purging, and retrieval of knowledge. Though a Human Brain can support Petabytes of information, a computer AI model can support endless amounts of data at superior speeds when architected properly.       

Epic-AIM stores exponentially more data and has the capability to join millions of information silos by using Key Relationships, probabilistic matching, self-induced knowledge, and continual additions of new information from the Internet and other sources. Cognitive AI should use algorithms to rank and search information sources within its memory Silos as it acquires, organizes and stores new information from credible sources.

AI should not contain any ‘Make Believe’, speculative or guess work in its delivery and use of information and should be able to identify unreliable or not relevant information.

Allow this video to demonstrate the early stages and foundations of what will soon deliver the truest and most accurate AI engine for individuals and collaborative users.

Soon we will unveil our capabilities using Facial, Voice and Object recognition technologies to determine emotions, moods and other Humanlike characteristics yet to be delivered accurately in the AI world.

Epic-AIM also sees its early phase of AI as a productive tool for companies to meet and assist the Blind and other that meet the Americans with Disabilities Act (ADA) by offering it’s Voice to Text and Text to Voice capabilities with navigation for business and governmental websites.

Reach us at: 847-440-4439

#ONC #HHS #Insurance #AI #Artificial Intelligence #Chatbots #ADA #Blind #Disabled #Cognitive AI #Reverse Engineering of the Human Brain #ADA #Machine learning #NLP #Natural Language Processing #Facial Recognition #Voice Recognition #Object Recognition #Predictive Analytics 

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Tyler 847-440-4439 https://youtu.be/I8fXTzBuv4o

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