Felix Hovsepian @BlueManifold
#ComplexityScience | Author | Speaker United Kingdom Joined January 2016-
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There appears to be some confusion among the non-mathematicians regarding the very nature of #mathematics - it's not a #language as many within #science #engineering #philosophy etc. sometimes like to assert (believe). #foodForThought #thinkDifferently lnkd.in/edrQCXxQ
Today, I would like to share what a quotation by Kurt #Gödel #mathematics #computation #logic #semantics #foodForThought #thinkDifferently lnkd.in/eHUMNpge
"The Unreasonable Effectiveness of #Mathematics" is a short 4-mins clip from a much longer (90-mins) panel discussion that "explores #Gödel’s discovery and examines the wider implications of his revolutionary finding. Participants include #mathematician…lnkd.in/ePmtycpC
" I would like to make a number of remarks on the relation of #mathematics and #physics . The first is that the #mathematicians only are dealing with the #structure of the #reasoning " — Richard Feynman I will share the link to this 10-mins video in th…lnkd.in/exav7j2z
Gottfried Leibniz was the instigator of a field of study that went beyond classical #logic ... Some 200 years later, the #mathematician David Hilbert would instigate a field of study called #metaMathematics - which attracted intellectuals such as, Kurt…lnkd.in/eZxXEeNd
In 1978, Dr. Leslie Lamport wrote: The origin of this paper was the note "The Maintenance of Duplicate #Databases " by Paul Johnson & Bob Thomas. I believe their note introduced the idea of using #message #timestamps in a #distributed #algorithm . I h…lnkd.in/ggZB468r
"For people who want to be #programmers or #systemBuilders , what I would advise is to learn as much #math as they can. Not as much math in the sense of topics of mathematics like esoteric math, but to develop a facility with #mathematicalThinking . B…lnkd.in/eRGnCXin
#programming vs. #coding Turing Award recipient, Dr. Leslie Lamport, explains the difference ( ) #thinkDifferently #softwareengineering lnkd.in/ensxF3fX
"You manage things, you lead people. We went overboard on #management and forgot about #leadership " — Admiral Dr. Grace Hopper #foodForThought #thinkDifferently lnkd.in/gc7Jj_sf
I'm a huge fan of creating #prototypes when embarking on a software solution project, primarily because I was trained as a #mathematician and a #systemsEngineer ... therefore, I instinctively #engineer solutions, I don't "develop" them. In this video, P…lnkd.in/eXEbBVaJ
#ThomasEdison listened with his #teeth ... The inventor of the phonograph was completely #deaf in one ear and partially deaf in the other. In order to listen to music emanating from his phonograph Edison would bite into the wooden frame, thereby absorb…lnkd.in/e4m7By4C
I recently had a dialogue with a colleague regarding XEROX Parc, and I mentioned the work of the (late) Prof. Doug Engelbart. During our dialogue it became clear that many today have probably not even heard of #DougEngelbart - let alone be aware of his s…lnkd.in/e_Mb275A
Today, there's much discussion regarding the integrity of scientific publications regarding #Alzheimer's disease, which reminded me of what occurred in 2019: "Recently the 430 abstracts submitted for the 6th World Conference on Research Integrity (WCRI)…lnkd.in/eP8x-aNS
This is what the #mathematician Margaret Hamilton, had to say during her #plenary talk at ICSE 2018. ( Link in the comments ) Incidentally, Margaret Hamilton was also the individual who coined the phrase, #softwareEngineering Moreover, Margaret Hamil…lnkd.in/eBu-Zwaz
With all this talk of #intuitivePhysics in the press recently, I thought would share an #idea that first appeared in papers by Prof. @PatHayes which he called, "Naïve Physics" : " #NaïvePhysics (or folk physics) is the untrained human perception of bas…lnkd.in/ePKdM95t
"The object of #mathematics is to discover #true theorems. We shall use the term #valid to describe statements formed according to certain rules and then shall discuss how this notion compares with the #intuitive idea of #true " — Paul Cohen (Fields Med…lnkd.in/gfhDg4P7
The Ancient Greek #Philosophers tried to teach us the perils of relying on our #senses - in particular what #Plato tried to teach us in his "Allegory of the Cave". In this (2-min) video called "Shadows on the wall", the #mathematicalPhysicist, Prof. Mar…lnkd.in/eXnsRewM
“ What is #Complexity ?” " #ComplexityScience represents a growing body of interdisciplinary knowledge about the structure, behavior and dynamics of change in a specific category of #complexSystems known as complex #adaptive #systems — open #evolutionary…lnkd.in/eJjEDz7X
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@RosmoRobot @BlueManifold The difficulties nearly all have w/ #ROS2 & its subsets &/or corollaries just begin w/ registration overhead latency exploding WCET. Hence not human quick to sense/avoid moving/unmapped obstacles. #ML #MachineLearning #IoT #DataScience #Analytics #Python #Coding #100DaysofCode
Fixed that for you @johnrobertsFox
Just received a physical copy of @gershbrain's new book. Highly recommended! press.princeton.edu/books/paperbac…
We’re back with #IntelonAI, episode 2! Join host @khosra and Santa Fe Institute’s @MelMitchell1 as they discuss the limitations of deep neural networks and the paradox behind studying human intelligence. intel.ly/3DluHHp
1/ There is some connection here. When people demand a "definition" of causality they really hope to find a reduction of causality in terms of other concepts, outside of causality, which are less problematic. We know that reduction to probability is impossible, so what remains?
@yudapearl @CMirzayi It reminds me a bit of Jonathan Sacks saying that you can't find the meaning of a system inside the system. Now, granted, he was using this to justify monotheism, but I think there may be some similarities.
image-scaling attacks are wild small dots added to the image on the left turns it into the image on the right when downscaled could make auditing ML systems very tricky if you only look at the original images...
1/ I here provide two links that should help readers who recently joined us to catch up with ideas and conversation we have had in the past. (1) web.cs.ucla.edu/~kaoru/jp-twee… takes you to a searchable file listing all my 8,720 Tweets in the past 3 years. (2) bayes.cs.ucla.edu/csl_papers.html
There's still this illusion that "AI" is somewhat intelligent: these are models fitted to large datasets using non-linear optimizations, hoping to replicate their distributions. While these are incredibly useful tools, there is nothing we would consider human-like intelligence.
The idea that "knowledge" is more than "distribution" has not caught on yet in DL circles and, consequently, we continue to see statistical vocabulary dominate the writings of DL authors. Expressions such as "distribution shift" and "out of distribution" will soon be replaced.
use of "distribution" betrays conceptual mismatch "the bulk of human knowledge is…causal, not [statistical]… & the grammar of [stats] …is insufficient" @yudapearl
@BlueManifold Would love to interview him and Bob Sproull. "Don't think of that thing as a screen, think of it as a window. Through that window, one looks into a virtual world." youtu.be/Y2AIDHjylMI
Good article. Enabling a machine to understand abstract notions of "same" vs "different" was a key focus of my own PhD work on the Copycat program & subsequent work in Hofstadter's group.
The ability to recognize sameness and difference is a crucial hallmark of intelligence. But the task brings the most powerful AI systems to their knees. quantamagazine.org/same-or-differ…
@BlueManifold A very enjoyable ten minutes. Thank you for the link, Prof. Hovsepian.
They've always created roadblocks for emerging technologies. h/t @BlueManifold
@mm_jj_nn This is great to hear! I've heard from other faculty that the book works well as a (mostly) non-technical intro to AI for interested students from any discipline.
@MelMitchell1 @mm_jj_nn Last year I proposed a core course based, in major part on @MelMitchell1 "Complexity" book!
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Many online courses are useless. They will not get you anywhere. But there are gems out there. Here is a curated list that will help you build a machine learning career without paying a fortune in tuition fees. ↓
In ML, spurious correlations are know-it-when-you-see-it; e.g., changing “Alice rules!” to “Bob rules!” changes predicted sentiment. Such ad-hoc tests are intuitive, but hard to connect to standard practice. Turns out, causality has a lot to say! arxiv.org/abs/2106.00545
Moore's law of AI: no matter how many times computing power doubles, the time needed to train deep models never decreases.
Hey, whatever happened to Kurzweil and the Singularity religion? According to his predictions by now I should be able to buy an equivalent of a human intellect for $1000. In reality I can't even buy RTX 3080Ti to boost my VR experience, or even upgrade my CPU...
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