Lifeboat Foundation

In an age of increasingly advanced robotics, one team has well and truly bucked the trend, instead finding inspiration within the pinhead-sized brain of a tiny flying insect in order to build a robot that can deftly avoid collisions with very little effort and energy expenditure.

An insect’s tiny brain is an unlikely source of biomimicry, but researchers from the University of Groningen in the Netherlands and Bielefeld University in Germany believed it was an ideal system to apply to how robots move. Fruit flies (Drosophila melanogaster) possess remarkably simple but effective navigational skills, using very little brainpower to swiftly travel along invisible straight lines, then adjusting accordingly – flying in a line angled to the left or the right – to avoid obstacles.

With such a tiny brain, the fruit fly has limited computational resources available to it while in flight – a biological model, the scientists believed, that could be adapted to use in the ‘brain’ of a robot for efficient, low-energy and obstacle-avoiding locomotion.

The Schwartz Reisman Institute for Technology and Society and the Department of Computer Science at the University of Toronto, in collaboration with the Vector Institute for Artificial Intelligence and the Cosmic Future Initiative at the Faculty of Arts & Science, present Geoffrey Hinton on October 27, 2023, at the University of Toronto.

0:00:00 — 0:07:20 Opening remarks and introduction.
0:07:21 — 0:08:43 Overview.
0:08:44 — 0:20:08 Two different ways to do computation.
0:20:09 — 0:30:11 Do large language models really understand what they are saying?
0:30:12 — 0:49:50 The first neural net language model and how it works.
0:49:51 — 0:57:24 Will we be able to control super-intelligence once it surpasses our intelligence?
0:57:25 — 1:03:18 Does digital intelligence have subjective experience?
1:03:19 — 1:55:36 Q&A
1:55:37 — 1:58:37 Closing remarks.

Continue reading “Geoffrey Hinton | Will digital intelligence replace biological intelligence?” »

Plant leaves come in many different shapes, sizes and complexities. Some leaves are large and smooth, while others are smaller and serrated. Some leaves grow in single pieces while others form multiple leaflets. These variations in leaf structure play a crucial role in how plants adapt—and survive—in different environments.

“Plant morphology is diverse in nature,” said Zhongchi Liu, a professor emerita in the University of Maryland’s Department of Cell Biology and Molecular Genetics. “Morphological differences contribute to plant survival, including how well plants can regulate their temperatures and how efficiently they can transport water from their roots to the rest of their bodies.

Understanding the mechanisms responsible for diverse leaf forms will lead to a better understanding of how plants can survive challenging conditions.

The delivery of experimental materials to individual cells with exactness and exclusivity has long been an elusive and much sought-after ability in biology. With it comes the promise of deciphering many longstanding secrets of the cell.

A research team at the Max-Planck-Zentrum für Physik und Medizin, Erlangen led by Professor Vahid Sandoghdar has now successfully shown how small molecules and single nanoparticles can be applied directly onto the surface of cells.

In the study, which was published in Nature Methods, the scientists describe their technique as a “μkiss” (microkiss)—an easy and cost-effective new method, unlocking new possibilities in single-cell science with a view to-wards next generation therapeutic applications.

Drawing together an array of interdisciplinary studies across archaeology, ecology, anthropology, and evolutionary theory, Erle Ellis, professor of geography and environmental systems at the University of Maryland Baltimore County, explains the evolution of the cultural practices that have enabled societies to develop unprecedented capabilities to scale up and transform the ecological systems that sustain them.

From using fire to cook food and manage vegetation to the technologies and institutions that support intensive agriculture, increasingly urbanized societies, and global supply chains stretching across the planet, human societies have evolved the social, cultural, and ecological capabilities to reshape the planet and to thrive in the process.

Ellis is a leading scientist investigating the Anthropocene, the current geological age defined by the human transformation of the planet. He is the founder and director of the Anthroecology Lab, which studies relationships between human societies and ecosystems at local to planetary scales with the aim of guiding more sustainable human relations with the biosphere. He is currently a visiting fellow at the Oxford Martin School, where he recently presented his work on Anthropocene opportunities.

Join us on Patreon! https://www.patreon.com/MichaelLustgartenPhDDiscount Links: NAD+ Quantification: https://www.jinfiniti.com/intracellular-nad-test/Use Cod…

Lee Smolin joins TOE to discuss his work in theoretical physics, the dynamic nature of the laws of physics and the concept of time.

TIMESTAMPS:
00:00:00 — Intro.
00:04:13 — Doubly Special Relativity and Violation of Lorentz Invariance.
00:09:15 — The Concept of Thick Time.
00:19:11 — Duality Between String Theory and Loop Quantum Gravity.
00:23:50 — Condensed Matter Theory.
00:28:35 — Approximating by a Continuum and Discrete Sets.
00:34:11 — Misapprehensions about Loop Quantum Gravity.
00:38:43 — Defining Complexity and the View of the Universe by One Observer.
00:43:52 — Causal Energetic: The Relationship Between Varieties and Kinetic Energy.
00:48:38 — Varying Parameters in the Universe.
00:53:35 — The Bomes Interpretation of Quantum Mechanics.
00:58:30 — Causality and Relativity.
01:03:15 — Different Styles in Mathematics and Chess.
01:07:55 — The Fundamental Questions in Biology.
01:12:49 — Marrying Outside Your Field.
01:18:04 — Discussion on Authors and Novels.
01:23:35 — Conversations with Fire Robin.
01:28:39 — Being Sincere and Ambitious.
01:33:39 — A Visit from BJ
01:38:34 — Outro.

Continue reading “Time and Quantum Mechanics SOLVED? | Lee Smolin” »

Divice recipe for making spiking artificial neurons.

Neurons, which are made of biological tissue, exhibit cognitive properties that can be replicated in various material substrates. To create brain-inspired computational artificial systems, we can construct microscopic electronic neurons that mimic natural systems. In this paper, we discuss the essential material and device properties needed for a spiking neuron, which can be characterized using impedance spectroscopy and small perturbation equivalent circuit elements. We find that the minimal neuron system requires a capacitor, a chemical inductor, and a negative resistance. These components can be integrated naturally in the physical response of the device, instead of built from separate circuit elements. We identify the structural conditions for smooth oscillations that depend on certain dynamics of a conducting system with internal state variables. These state variables can be of diverse physical nature, such as properties of fluids, electronic solids, or ionic organic materials, implying that functional neurons can be built in various ways. We highlight the importance of detecting the Hopf bifurcation, a critical point in achieving spiking behavior, through spectral features of the impedance. To this end, we provide a systematic method of analysis in terms of the critical characteristic frequencies that can be obtained from impedance methods. Thus, we propose a methodology to quantify the physical and material properties of devices to produce the dynamic properties of neurons necessary for specific sensory-cognitive tasks. By replicating the essential properties of biological neurons in electronic systems, it may be possible to create brain-inspired computational systems with enhanced capabilities in information processing, pattern recognition, and learning. Additionally, understanding the physical and material properties of neurons can contribute to our knowledge of how biological neurons function and interact in complex neural networks. Overall, this paper presents a novel approach toward building brain-inspired artificial systems and provides insight into the important material and device considerations for achieving spiking behavior in electronic neurons.