Lifeboat Foundation

Artificial Intelligence has transformed how we live, work, and interact with technology. From voice assistants and chatbots to recommendation algorithms and self-driving cars, AI has suddenly become an integral part of our daily lives, just a few months after the release of ChatGPT, which kickstarted this revolution.

However, with the increasing prevalence of AI, a new phenomenon called “AI fatigue” has emerged. This fatigue stems from the overwhelming presence of AI in various aspects of our lives, raising concerns about privacy, autonomy, and even the displacement of human workers.

AI fatigue refers to the weariness, frustration, or anxiety experienced by individuals due to the overreliance on AI technologies. While AI offers numerous benefits, such as increased efficiency, improved decision-making, and enhanced user experiences, it also presents certain drawbacks. Excessive dependence on AI can lead to a loss of human agency, diminishing trust in technology, and a feeling of disconnection from the decision-making process.

Michael Levin is a Distinguished Professor in the Biology department at Tufts University. He holds the Vannevar Bush endowed Chair and serves as director of the Allen Discovery Center at Tufts and the Tufts Center for Regenerative and Developmental Biology. To explore the algorithms by which the biological world implemented complex adaptive behavior, he got dual B.S. degrees, in CS and in Biology and then received a PhD from Harvard University. He did post-doctoral training at Harvard Medical School, where he began to uncover a new bioelectric language by which cells coordinate their activity during embryogenesis. The Levin Lab works at the intersection of developmental biology, artificial life, bioengineering, synthetic morphology, and cognitive science.

✅EPISODE LINKS:
👉Round 1: https://youtu.be/v6gp-ORTBlU
👉Mike’s Website: https://drmichaellevin.org/
👉New Website: https://thoughtforms.life.
👉Mike’s Twitter: https://twitter.com/drmichaellevin.
👉Mike’s YouTube: https://youtube.com/@drmichaellevin.
👉Mike’s Publications: https://tinyurl.com/yc388vvk.
👉The Well: https://www.youtube.com/watch?v=0a3xg4M9Oa8 & https://youtu.be/XHMyKOpiYjk.
👉Aeon Essays: https://aeon.co/users/michael-levin.

Continue reading “What is The Field of Diverse Intelligence? Hacking the Spectrum of Mind & Matter | Michael Levin” »

Plenary Talk by Michael Levin on “Non-neural, developmental bioelectricity as a precursor for cognition: Evolution, synthetic organisms, and biomedicine” at the Virtual Miniature Brain Machinery Retreat, September 16, 2021. Introduction by William Baker.

Michael Levin.
Director of the Allen Discovery Center.
Tufts University.

Continue reading “Michael Levin: ‘Non-neural, developmental bioelectricity as a precursor for cognition’” »

Welcome to another exciting episode of our podcast series, where we dive deep into the world of science and innovation! In today’s episode, we have the privilege of interviewing Prof. Michael Levin, a renowned researcher in the fields of bioelectricity, regenerative biology, and biophysics.

Prof. Levin is the director of the Allen Discovery Center at Tufts University and has been making groundbreaking discoveries that are revolutionizing the field of regenerative medicine. His research focuses on understanding the electrical communication within and between cells, and how this communication can be harnessed for tissue repair and regeneration.

Continue reading “-Electricity of Life💡: Wonders of Bioelectricity and Regenerative Biology Prof Michael Levin” »

For millions of Chinese people, the first software they download on a new laptop or smartphone is always the same: a keyboard app. Yet few of them are aware that it may make everything they type vulnerable to spying eyes.

Since dozens of Chinese characters can share the same latinized phonetic spelling, the ordinary QWERTY keyboard alone is incredibly inefficient. A smart, localized keyboard app can save a lot of time and frustration by predicting the characters and words a user wants to type. Today, over 800 million Chinese people use third-party keyboard apps on their PCs, laptops, and mobile phones.

Inside Israeli Innovation with Maayan Hoffman and Zachy Hennessey, Ep. 19.

Their development Scalene, an open-source tool for dramatically speeding up the programming language Python, circumvents hardware issues limiting computer processing speeds.

A team of computer scientists at the University of Massachusetts Amherst, led by Emery Berger, recently unveiled a prize-winning Python profiler called Scalene. Programs written with Python are notoriously slow—up to 60,000 times slower than code written in other programming languages—and Scalene works to efficiently identify exactly where Python is lagging, allowing programmers to troubleshoot and streamline their code for higher performance.

There are many different programming languages—C++, Fortran, and Java are some of the more well-known ones—but, in recent years, one language has become nearly ubiquitous: Python.

Sticking out your tongue while doing delicate work with your hands reveals a history of evolutionary relationships.

Being able to vocalize is one of the most essential elements of the human experience, with infants expected to start babbling their first words before they’re one year old, and much of their further life revolving around interacting with others using vocalizations involving varying degrees of vocabulary and fluency. This makes the impairment or loss of this ability difficult to devastating, as is the case with locked-in syndrome (LIS), amyotrophic lateral sclerosis (ALS) and similar conditions, where talking and vocalizing has or will become impossible.

In a number of concurrent studies, the use of a brain-computer interface (BCI) is investigated to help patients suffering from LIS (Sean L. Metzger et al., 2023) and ALS (Francis R. Willett et al., 2023) to regain their speaking voice. Using the surgically implanted microelectrode arrays (Utah arrays) electrical impulses pertaining to the patient’s muscles involved in speaking are recorded and mapped to phonemes, which are the elements that make up speech. Each of these phonemes requires a specific configuration of the muscles of the vocal tract (e.g. lips, tongue, jaw and larynx), which can be measured with a fair degree of accuracy.

In the case of the study by Sean L. Metzger et al. as recently published in Nature, the accompanying research article on the University of California San Francisco website details the story of their patient: Ann. At the age of 30, Ann suffered a brainstem stroke which rendered her essentially fully paralyzed. As an LIS patient she lacked for a long time even the ability to move her facial muscles.