Artificial General Intelligence in Robotics
The Challenge
The current state of AI (read: machine learning, deep learning, large language models) creates system problems for continued development and deployment to a global population. On its current trajectory the energy and processing needs from these approaches far outweigh the ability of earth’s resources to support it.
As a result, we were forced to invent an artificial general intelligence solution that is self learning, does not need training data to begin navigating its environment autonomously, and does not require expensive hardware or customized chips.
The Solution
We teamed up with the inventor of Artificial Connectomes to commercialize Biologic Intelligence for various use cases in the autonomous robotics and artificial general intelligence industry.
We developed the deep technology (science, software, hardware), founded the company, partnered with tech media publications, filed a patent, won the Best AI in Robotics award, joined a famous Silicon Valley accelerator, spoke with leading Silicon Valley AI practitioners and investors.
The Result
PROME’s breakthrough technology runs on commodity hardware and low-power, off-the-shelf chips (i.e., Raspberry Pis). These autonomous rovers cost $1000 and begin working the first time they’re turned on without an internet connection or any training data.
We developed relationships and began pilot conversations with Tier 1 corporate customers. Learn more at PROME.AI
PROME vs ChatGPT
Please welcome our special guest, Timothy Busbice, the godfather of Biologic Intelligence and co-founder of PROME. In this hour-long episode we discuss the differences between PROME (Biologic Intelligence) and ChatGPT (Large Language Models) as they are different approaches to Artificial General Intelligence with different use cases and limitations. We describe why Biologic Intelligence works well in real-world environments and why LLMs may be better suited for virtual environments turning one kind of pixels into other kinds of pixels. We discuss emerging use cases for AGI in the real-world, which includes fighting fires in the forest and in California suburbs where fires run rampant and insurance is hard to come by. We end the episode with an interesting epiphany about where this could all head.
2024: Firefighting Drones
Showcasing one use case of PROME’s advanced technology. The Fruit Fly’s biologic intelligence is used in an autonomous drone to fight forest fires, thereby protecting the source of our planet’s oxygen and primary carbon capture mechanism.
ESG goals can now be realized much faster.
2024: Miniaturization
The Drosophila (i.e., fruit fly) nervous system shown running on a single of-the-shelf laptop with no specialized AI chips. This is clear demonstration of minimizing Size, Weight and Power (SWaP), which is essential to future use of AGI. If we can run a complete nervous system emulation on small computing footprints, it is possible to run true AGI in small size computing devices like laptops, Raspberry Pi, NVIDIA Jetson, etc. We can't send a probe to hostile environments like the Antarctica, the deep sea or other planets pulling semi trailers full of computing power for simple generalized intelligence.
2022: AGI Update
Sean and Tim discuss the current state of artificial general intelligence, how market perception has changed to understand its limitations more fully, and PROME’s increasingly relevant solution to it all.
2018: Demos
We show off PROME’s artificial general intelligence in low size, weight, and power robotics over various versions.
2017: Plug & Play
PROME's CEO giving a presentation about their Biologic Intelligence product at the Plug & Play Summer 2017 Mobility & IoT Expo in Silicon Valley. Current Deep Learning and machine learning approaches got you down? Sick of trying to hire Data Scientists to spend all their time cleaning, annotating, and building new models? Us too. That's why our Connectome-based general intelligence software does all of this automatically in the software itself. The small software library runs on low power chips at the edge, on premise, in the cloud in Windows or Linux environments.
2016: FAQs
Sean Everett (CEO) and Timothy Busbice (CTO) answer the main questions PROME often receives about what Biologic Intelligence is, how it works, and why it’s valuable to our world.
2014: 2M Views
The viral video that started it all. Extending the connectome of C Elegans to a robot, displays behaviors we observe in the living organism and allows researchers to study the connectome from sensory input to motor output in real world environments.