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Accelerating Growth Using AI — A Look At Complexity And The Metaverse Series 1/5

When I did my doctoral studies I studied a number of growth disciplines in areas like: complexity science, social network science (relationship and collaboration science), system thinking science, information science, and cognitive science. As a result of this knowledge, I learned how to connect business strategy goals using diverse growth strategies and analyze underlying operating systems that were either enabling relationship strength and growth outcomes or creating negative systemic feedback loops that prevented revenue acceleration.

There is a word in the English language seldom used called quaquaversal which means looking in all directions all at once which represents the field of complexity science and is the reality of the executive mindset that needs to operate in the board room and in today’s fast paced world — *what one sees as relevant today may well be obsolete tomorrow.*

This blog series will explore each of these discipline areas and connect real life examples of AI approaches that are enabling growth acceleration techniques using these science and social science techniques. This is the first blog in this five part blog series and will focus on complexity science.

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President biden please acknowledge tesla’s EV leadership.

Electreon, Ford Developing In-Road Charging System Near Mobility Tech Hub

Ford Motor Co. is working with Israeli startup Electreon to construct a mile-long road near Detroit’s Michigan Central Terminal that will charge electric vehicles as they travel on it. The pilot program will deploy an inductive in-road charging system in partnership with the Michigan Department of Transportation, the Michigan Office of Future Mobility and Electrification and the Michigan Economic Development Corp. “As we aim to lead the future of mobility and electrification by boosting electric vehicle production and lowering consumer costs, a wireless in-road charging system is the next piece to the puzzle for sustainability,” Michigan Governor Gretchen Whitmer said in a statement. Also supporting the project, which is expected to be operational in 2023, are Next Energy and the Jacobs Engineering Group. Ford purchased the long-abandoned train station and is converting it to be the hub of what it calls its “mobility innovation district,” where software developers and others will focus on making electrified and autonomous transportation more practical.

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Chip designer mimicking brain, backed by Sam Altman, gets $25 million funding

(Reuters) — Rain Neuromorphics Inc., a startup designing chips that mimic the way the brain works and aims to serve companies using artificial intelligence (AI) algorithms, said on Wednesday it raised $25 million.

Gordon Wilson, CEO and co-founder of Rain, said that while most AI chips on the market today are digital, his company’s technology is analogue. Digital chips read 1s and 0s while analogue chips can decipher incremental information such as sound waves.

Retracted coronavirus (COVID-19) papers

Omuterema AkhahendaAdmin.

🤔 if it is Optimus, can I buy it with Amazon Prime.

Wojtek TekOmuterema Akhahenda free delivery.

Alan LightAdmin.

More than just free delivery: self-delivery.

We should really come up with a new term for an autonomous robot that delivers itself this way. Probably some combination of the terms “auto” (for “self”) and “bot”.… See more.

Ron FriedmanJust when I thought I have enough Tesla stocks, it looks like I’ll buy more.

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Image De-noising Using Deep Learning

Denoising an image is a classical problem that researchers are trying to solve for decades. In earlier times, researchers used filters to reduce the noise in the images. They used to work fairly well for images with a reasonable level of noise. However, applying those filters would add a blur to the image. And if the image is too noisy, then the resultant image would be so blurry that most of the critical details in the image are lost.

There has to be a better way to solve this problem. As a result, I have implemented several deep learning architectures that far surpass the traditional denoising filters. In this blog, I will explain my approach step-by-step as a case study, starting from the problem formulation to implementing the state-of-the-art deep learning models, and then finally see the results.

This AI Learned the Design of a Million Algorithms to Help Build New AIs Faster

Might there be a better way? Perhaps.

A new paper published on the preprint server arXiv describes how a type of algorithm called a “hypernetwork” could make the training process much more efficient. The hypernetwork in the study learned the internal connections (or parameters) of a million example algorithms so it could pre-configure the parameters of new, untrained algorithms.

The AI, called GHN-2, can predict and set the parameters of an untrained neural network in a fraction of a second. And in most cases, the algorithms using GHN-2’s parameters performed as well as algorithms that had cycled through thousands of rounds of training.

Hibernate for a trip to Mars, the bear way

Hibernating astronauts could be the best way to save mission costs, reduce the size of spacecraft by a third and keep crew healthy on their way to Mars. An ESA-led investigation suggests that human hibernation goes beyond the realm of science-fiction and may become a game-changing technique for space travel.

When packing for a return flight to the Red Planet, space engineers account for around two years’ worth of food and water for the crew.

“We are talking about 30 kg per astronaut per day, and on top of that we need to consider radiation as well as mental and physiological challenges,” explains Jennifer Ngo-Anh, ESA research and payload coordinator of Human and Robotic Exploration and one of the authors of the paper that links biology to engineering.

Elon Musk’s Neuralink is an Absolute Disaster, Neuralink former employees say

Elon Musk has always said that Neuralink, the company he created in 2016 to build brain-computer interfaces, would do amazing things: Eventually, he says, it aims to allow humans to interact seamlessly with advanced artificial intelligence through thought alone. Along the way, it would help to cure people with spinal cord injuries and brain disorders ranging from Parkinson’s to schizophrenia.

Now the company is approaching a key test: a human clinical trial of its brain-computer interface (BCI). In December, Musk told a conference audience that “we hope to have this in our first humans” in 2022. In January, the company posted a job listing for a clinical trial director, an indication that it may be on track to meet Musk’s suggested timeline.

Musk has put the startup under unrelenting pressure to meet unrealistic timelines, these former employees say. “There was this top-down dissatisfaction with the pace of progress even though we were moving at unprecedented speeds,” says one former member of Neuralink’s technical staff, who worked at the company in 2019. “Still Elon was not satisfied.” Multiple staffers say company policy, dictated by Musk, forbade employees from faulting outside suppliers or vendors for a delay; the person who managed that relationship had to take responsibility for missed deadlines, even those outside their control.

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