The two stage vector interpretation of quantum theory apart from attempting to resolve the paradoxes of traditional quantum theory provides a physical basis for teleology and understanding how there is a small probability that future events affect present ones.
Artificial intelligence gets smarter, more capable, and more world-transforming every day. Here’s why that might not be a good thing.
Talk kindly contributed by Michael Levin in SEMF’s 2022 Spacious Spatiality.
https://semf.org.es/spatiality.
TALK ABSTRACT
Life was solving problems in metabolic, genetic, physiological, and anatomical spaces long before brains and nervous systems appeared. In this talk, I will describe remarkable capabilities of cell groups as they create, repair, and remodel complex anatomies. Anatomical homeostasis reveals that groups of cells are collective intelligences; their cognitive medium is the same as that of the human mind: electrical signals propagating in cell networks. I will explain non-neural bioelectricity and the tools we use to track the basal cognition of cells and tissues and control their function for applications in regenerative medicine. I will conclude with a discussion of our framework based on evolutionary scaling of intelligence by pivoting conserved mechanisms that allow agents, whether designed or evolved, to navigate complex problem spaces.
TALK MATERIALS
· The Electrical Blueprints that Orchestrate Life (TED Talk): https://www.ted.com/talks/michael_levin_the_electrical_bluep…trate_life.
· Michael Levin’s interviews and presentations: https://ase.tufts.edu/biology/labs/levin/presentations/
· Michael Levin’s publications: https://ase.tufts.edu/biology/labs/levin/publications/
· The Institute for Computationally Designed Organisms (ICDO): https://icdorgs.org/
MICHAEL LEVIN
Department of Biology, Tufts University: https://as.tufts.edu/biology.
Tufts University profile: https://ase.tufts.edu/biology/labs/levin/
Wyss Institute profile: https://wyss.harvard.edu/team/associate-faculty/michael-levin-ph-d/
Wikipedia: https://en.wikipedia.org/wiki/Michael_Levin_(biologist)
Google Scholar: https://scholar.google.com/citations?user=luouyakAAAAJ
Twitter: https://twitter.com/drmichaellevin.
LinkedIn: https://www.linkedin.com/in/michael-levin-b0983a6/
SEMF NETWORKS
Workshop supported by the Imperial College Physics of Life Network of Excellence.
https://www.imperial.ac.uk/physics-of-life/
In Part 2 of this thought-provoking conference, we discussed the emergence of order and multicellularity. Besides short talks delivered by esteemed international speakers from the interface of physics and biology, a significant portion of the meeting was dedicated to open discussion. This exciting meeting was supported by the “Physics of Life” Network of Excellence at Imperial College London and the Biological Physics Group of the Institute of Physics (IOP).
Emergence of order [Chair: Chiu Fan Lee]
1:25 Suriyanarayanan Vaikuntanathan (University of Chicago)
20:30 James Sethna (Cornell University)
42:16 Nigel Goldenfeld (University of Illinois at Urbana-Champaign)
1:05:15 Panel discussion.
Cells and beyond [Chair: Hélène de Maleprade]
1:32:27 Ricard Solé (Catalan Institute for Research and Advanced Studies)
1:54:40 William Ratcliff (Georgia Tech)
2:16:57 Peter Yunker (Georgia Tech)
2:50:50 General Q&A
2:56:50 Jessica Flack (Santa Fe Institute)
3:28:25 Closing of conference.
Organising committee:
Posted in education, neuroscience
This educational video about cellular automata was filmed, narrated, and edited by Rudy Rucker in 1990, using some “CA Lab” software he worled on at Autodesk. Renamed “Cellab,” the software and manual are available for free on Rucker’s website.
http://www.rudyrucker.com/oldhomepage/cellab.htm.
But certainly you can watch the video without using the software. Two-dimensional CA rules discussed include Langton’s worm, the game of Life, Silverman’s Brain, the Vote rule, the Rug rule, gas-simulating rules, and many others.
Cornell University researchers have created an interface that allows users to handwrite and sketch within computer code – a challenge to conventional coding, which typically relies on typing.
The pen-based interface, called Notate, lets users of computational, digital notebooks open drawing canvases and handwrite diagrams within lines of traditional, digitized computer code.
Powered by a deep learning model, the interface bridges handwritten and textual programming contexts: notation in the handwritten diagram can reference textual code and vice versa. For instance, Notate recognizes handwritten programming symbols, like “n”, and then links them up to their typewritten equivalents.
Dr. Svitlana Volkova, Ph.D. (https://www.pnnl.gov/people/svitlana-volkova) is Chief Scientist, Decision Intelligence and Analytics, National Security Directorate, Pacific Northwest National Laboratory (PNNL), which is one of the United States Department of Energy national laboratories, managed by the Department of Energy’s (DOE) Office of Science.
Dr. Volkova is a recognized leader in the field of computational social science and computational linguistics and her scientific contributions and publication profile cover a range of topics on applied machine learning, deep learning, natural language processing, and social media analytics.
Dr. Volkova’s research focuses on understanding, predicting, and explaining human behavior, interactions, and real-world events from open-source social data and her approaches help advance effective decision making and reasoning about extreme volumes of dynamic, multilingual, multimodal, and diverse real-world unstructured data.
Dr. Volkova has a Ph.D. in Computer Science from Johns Hopkins University, Center for Language and Speech Processing, and an M.S. in Computer Science, from Kansas State University.
A machine learning model has revealed how crystals of sodium chloride slowly weaken and then rapidly crumble to dissolve in water.
After decades of research, robots are finally starting to take over farms — it isn’t clear how human workers will be affected.
There are now quite a few electric surfboards on the market, and they almost all work in the same way – their jet drive runs for as long as you squeeze a throttle on a handheld remote. The Jetson is different, in that it provides temporary boosts as needed.
Manufactured by Florida-based startup Jetson Surf Technology, the board is currently the subject of an Indiegogo campaign.
As far as its conventional features go, the Jetson sports four removable fins, epoxy resin construction, and is being offered in three lengths catering to individual users’ body size, skill level and surfing style. The choices are 6 ft/8 in, 8 feet and 9 feet (2, 2.4 and 2.7 m), which reportedly tip the scales at 19, 21 and 23 lb (8.6, 9.5 and 10.4 kg), respectively.
