Lifeboat Foundation

1:42 Are we on the wrong train to AGI?
4:20 Marvin Minsky and AI generalization problem.
11:57 Defining intelligence in AI
17:17 Is AI masquerading as a trendy statistical analysis tool?
23:35 AI systems lack our most basic intuitions.
27:38 The public not wanting to face Reality.
29:36 Equipping AI with Kant’s categories of the mind (Time, Space, Causality)
33:40 Neural nets VS traditional tools.
34:50 Causality in AI
37:14 Lack of interdisciplinary learning.
45:54 How can we achieve human level of understanding in AI?
49:21 More limitations.
59:35 Motivation in inanimate systems.
1:01:31 Lack of body and transcendent consciousness.
1:05:55 What interdisciplinary learning would you encourage?
1:06:49 Book recommendations.

Gary Marcus is CEO and Founder of Robust AI, well-known machine learning scientist and entrepreneur, author, and Professor Emeritus at New York State University.

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Neural Implant Podcast w/ Ladan Jiracek: https://open.spotify.com/show/7qzl8f0yllPaYlBmW9CX3u?si=aXiWglMkR8Wkw8YGLD81nQ

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Continue reading “Brain expert says Neuralink is IMPOSSIBLE” »

Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. While a fundamental solvability problem known as “barren plateaus” has limited the application of these neural networks for large data sets, new research overcomes that Achilles heel with a rigorous proof that guarantees scalability.

“The way you construct a quantum neural network can lead to a barren plateau—or not,” said Marco Cerezo, co-author of the paper titled “Absence of Barren Plateaus in Quantum Convolutional Neural Networks,” published today by a Los Alamos National Laboratory team in Physical Review X. Cerezo is a physicist specializing in quantum computing, quantum machine learning, and quantum information at Los Alamos. “We proved the absence of barren plateaus for a special type of quantum neural network. Our work provides trainability guarantees for this architecture, meaning that one can generically train its parameters.”

As an artificial intelligence (AI) methodology, quantum convolutional neural networks are inspired by the visual cortex. As such, they involve a series of convolutional layers, or filters, interleaved with pooling layers that reduce the dimension of the data while keeping important features of a data set.

A truck fleet accident costs an average of $16,500 in damages and $57,500 in injury-related costs for a total of $74,000. “This does not include a broad range of ‘hidden’ costs, including reduced vehicle value (typically anywhere from $500 to $2,000), higher insurance premium, legal fees, driver turnover (the average driver replacement cost = $8,200), lost employee time, lost vehicle-use time, administrative burden, reduced employee morale and bad publicity,” said Yoav Banin, chief product officer at Nauto, which provides artificial intelligence driver and fleet performance solutions.

Emphasis on truck driving safety is well placed, considering other challenges that the trucking industry is facing.

Ranking first is a chronic shortage of truck drivers nationwide that could force fleet operators to hire less-experienced drivers who require operator and safety training. Driver compensation and truck parking ranked second and third, but immediately behind them in fourth and fifth position were driver truck fleet safety and insurance availability, which depends on safe driving records.

Artificial intelligence expert Timnit Gebru on the challenges researchers can face at Big Tech companies, and how to protect workers and their research.

Artificial intelligence research leads to new cutting-edge technologies, but it’s expensive. Big Tech companies, which are powered by AI and have deep pockets, often take on this work — but that gives them the power to censor or impede research that casts them in an unfavorable light, according to Timnit Gebru, a computer scientist, co-founder of the nonprofit organization Black in AI and the former co-leader of Google’s Ethical AI team.

The situation imperils both the rights of AI workers at those companies and the quality of research that is shared with the public, said Gebru, speaking at the recent EmTech MIT conference hosted by MIT Technology Review.

China is pulling ahead of global rivals when it comes to innovative AI “unicorns” that are pushing the technology forward. Research from GlobalData has found that — of the 45 international AI unicorns identified — China has the largest share with 19 based in the country.

Collectively, the Chinese AI unicorns are valued at $43.5 billion.

Beijing has been on a regulatory crackdown in recent months, especially on Chinese companies doing business in, and with, the US.

Continue reading “GlobalData: China is ahead of global rivals for AI ‘unicorns’” »

It’s been a hot, hot year in the world of data, machine learning, and AI. Just when you thought it couldn’t grow any more explosively, the data/AI landscape just did: the rapid pace of company creation, exciting new product and project launches, a deluge of VC financings, unicorn creation, IPOs, etc.

It has also been a year of multiple threads and stories intertwining.

One story has been the maturation of the ecosystem, with market leaders reaching large scale and ramping up their ambitions for global market domination, in particular through increasingly broad product offerings. Some of those companies, such as Snowflake, have been thriving in public markets (see our MAD Public Company Index), and a number of others (Databricks, Dataiku, DataRobot, etc.) have raised very largely (or in the case of Databricks, gigantic) rounds at multi-billion valuations and are knocking on the IPO door (see our Emerging MAD company Index).

Duke professor becomes second recipient of AAAI Squirrel AI Award for pioneering socially responsible AI.

Whether preventing explosions on electrical grids, spotting patterns among past crimes, or optimizing resources in the care of critically ill patients, Duke University computer scientist Cynthia Rudin wants artificial intelligence (AI) to show its work. Especially when it’s making decisions that deeply affect people’s lives.

Continue reading “A ‘New Nobel’ — Computer Scientist Wins $1 Million Artificial Intelligence Prize” »

This looks familiar…

Robo Woman — 1,968 taken from the British Pathe reel “Miss Honeywell — World’s First Robotic Woman”. See this playlist of our best clips:
https://www.youtube.com/playlist?list=PLF58DA24745914ADC

Continue reading “World’s First Robotic Woman” »