MEMBER
Lars Wood
MEMBER TYPE
Think Tank
FOCUS
Hypercomputation for artificial intelligence and general-purpose computation
WORK
Co-Founder Hypercomputation LLC and Analog Computation Enterprise Inc. (Energetic AI)
INVENTOR, DEVELOPER
Patented 'Octopus Neural System' Artificial Intelligence (software emulator & MMIC chips).
SUMMARY
Lars is a polymath research pioneer. His innovative, lateral thinking is detailed in two books. Lars’ expertise spans multiple fields of study and he has contributed significantly to research across diverse areas combining knowledge from various disciplines to innovate or make groundbreaking discoveries, often pushing the boundaries of traditional research methodologies. Lars is known for broad knowledge, interdisciplinary approaches, and the ability to make connections between different fields to solve complex problems.
An AI innovator, Lars’ patented 1980s algorithms made machine learning practical. He is the inventor of the patented Category 4 AI Octopus Neural System (ONS) and its superheterodyne hardware chip implementation on a tiny monolithic microwave integrated circuit super Turing chip. These super Turing chips use real-number calculations. Category 4 AI is unbiased and requires no training and by design obsoletes current machine learning algorithms, which are archaic decades-old inferior Category 3 technologies.
Lars has 12 foundational AI patents. The latest are in Category 4 AI and the other 8 are in Category 3 supervised machine learning. Lars is responsible for the first large-scale DoD application of deep learning.
Category 4 is the basis for AGI (artificial general intelligence). It refers to a new type of artificial intelligence that possesses human-like cognitive abilities, such as the ability to understand, learn, and apply knowledge across a wide range of tasks and domains, similar to that of a human. AGI is often contrasted with narrow or specialized (Category 3) AI which is designed for specific tasks or functions.
Lars has over 15 years of experience in therapeutic drug discovery, including two years in brain cancer research focused on the development of novel cancer immunotherapies. Lars created novel quantum chemistry physics algorithms which he applied to molecular engineering deglycosylation antivirals and more, in the general development of novel peptidomimetics, referred to as “smart molecules” as they intelligently adapt their in vivo activity to patient genetics drastically reducing ADRs (adverse drug reactions).
Lars has extensive experience creating optoelectronic analog supercomputers and high-level synthesis, computer operating system design and software compiler development, especially in the area of parallel processing codes.
COMPANY MEMBER MEDIA — ACE DBA Energetic.ai
THINK TANK EDITORIAL
CONTACT
CogWorld think tank members include some of today’s greatest minds in AI and future proofing.
Code 7893
Abstract: Equations initially developed to model intractable physics fundamental particle interactions result in algorithms1 to analyze molecular systems of any size and complexity.2 We report results applying the method to drug discovery.