Not so remarkable now that you think of it. But, when the herrings fell, one night, from the sky they were of two kinds. The dead and alive. The Zeroes And Ones (#TZAO). Uncanny.

#TZAO (The Zeroes And Ones) --- SynTalk Album

SynTalk thinks about information, while constantly wondering about its physical nature and computability. Is there information in the universe irrespective of human beings or life? Does all the meaning come from a protocol, and what if there is no shared language? Does a protocol or a context need to pre exist? The concepts are derived off / from Laplace, Carnot, Boltzmann, Shannon, Ronald Fisher, Kolmogorov, T S Eliot, Warren Weaver, & Nørretranders, among others. We retrace the journey of the notion of information within (say) thermodynamics, electrical engineering, neurolinguistics, mathematics, and computational systems, & notice how the core departure was to think of it as measurable? Does the universe speak in one language? Does ignorance go down when information is received, and is ignorance analogous to disorder? Is entropy an anthropomorphic principle, as it assumes an underlying notion of order? How, in language, the norm (order) can be identified directly from a close study of the deviation from the norm (disorder). How the brain or any system may learn how to learn and negotiate meaning via ‘bootstrapping’? Is the nature of ‘input’ processing different from information processing as the neural networks are formed in a child’s brain? What makes data information for the receiver? Why does an internal combustion engine ‘have’ to dump out the disorder via the exhaust to direct order to the wheels? Can one think of information content as an objective ‘event cone’ with past and future imprinted in it? Is all time eternally present? Is there a fundamental unit (say, bit or qubit) of information, & is it discrete or continuous or both? How & why are the first and second language signals stored differently in the brain? What is the role played by shared context (exformation) and commonality in communication? Are there different mathematical theories of communication, information content and complexity? The links between wax, steam engines, Voyager, heads or tails, ‘motive power of fire’, critical period hypothesis, It from Bit, falling stones, the case of Chelsea’s misdiagnosis, Four Quartets, ‘I do’, heat death, & Schrodinger’s cat. Can we forget something if we explicitly want to? Does nature forget (information)? Will we drown in the crazy amount of information in the future, or will we develop new tools to handle complexity? Do we need to understand human mind & cognition better? Can we communicate with animals and (may be) aliens in the future? ‘If a lion could speak, we could not understand him’. The SynTalkrs are: Prof. Vaishna Narang (biolinguistics, JNU, New Delhi), Prof. Rajaram Nityananda (astrophysics, Azim Premji University, ex NCRA-TIFR, Bangalore), & Prof. R. Ramanujam (computer science, IMSc, Chennai).

#TMOI (The Meanings Of Information) --- SynTalk

Have you been stuck in a traffic jam? Is it ‘difficult’ to wear helmets? Can one conceive of one’s own death? Can traffic self organize? Is the ability to reverse, as in certain molecular motors, fundamental to the design of all efficient transportation systems? Are there lanes (microtubules), porters, & ‘bypass roads’ within our cells? Why does the tendency towards order increase as the traffic density increases? How are traffic shockwaves created? What are the interrelationships between density, speed, & flow? Why can’t traffic always be directionless? When does planning need to step in? Is speed to be feared or embraced? Why are there speed limits at all? Are there interpenetrating movements of matter within our bodies? Is flow of people different from flow of goods? Are we (as people) turned into goods when we are within airports? Would all constituents in an ‘ideal’ transportation system be ‘moved’? Are roads a Public Sphere? What is the role of the State? Can States become ‘traffic police States’? Is there a conflict between logic and ethics in traffic? Is the way up the way down? Might slow vehicles be the future? SynTalk thinks about these & more questions using concepts from biophysics (Prof. Gautam Menon, Institute of Mathematical Sciences, Chennai), transport planning (Prof. P. K. Sarkar, School of Planning & Architecture, New Delhi), & philosophy (Prof. Vijay Tankha, St. Stephen's College, New Delhi). Listen in....

#TMOT (The Modalities Of Traffic) --- SynTalk

What is a (hard) problem? Can we know which problems do not have solutions? Is scheduling flights a hard problem? Is assembling cars an easy problem? Theoretically, are there more problems (uncountable) than solutions (countably many)? Are algorithms well defined? Are they a finite description for infinitely many possible inputs & processes? What is not an algorithm? Can processes be algorithmic and not computational? Does it matter how algorithms are embodied? Is every algorithm a Turing Machine? Is there a difference between equations and algorithms? Can algorithms be approximate? Where do heuristics come from? Are comparisons the easiest measurement? Do physical symbols always underlie any computation? Are the best algorithms exponential? Is there infinite richness of algorithms, & are computers infinitely reconfigurable machines? How is the real world abstracted (& discretized)? Do problems need analog computing, since (real life) variables are usually (?) continuous and not discrete? Is a recipe, then, an algorithm? Is the brain a computer? Is the world analog or digital? Do algorithms have an ontology? Are algorithms abstractions? Are they here to stay? SynTalk thinks about these & more questions using concepts from logic & theoretical computer science (Prof. Anuj Dawar, Cambridge University, Cambridge), & operations research & industrial engineering (Prof. Ashok K. Mittal, ex-IIT Kanpur, New Delhi). Listen in....

#TMOA (The Metaness Of Algorithms) --- SynTalk

Can you be creative consciously? Can verification of an idea be fully worked out in the unconscious state itself? Does P equal NP; & is proving computationally more intensive than verifying? Can a system be called creative if it explores all possibilities (with brute force) before selecting one? What, then, is creativity for machines? Might daydreaming have underlying processes akin to stochastic optimization or simulated annealing? Are there different types of creativity? Can it be defined? Is a non-obvious step essential? Can a software program be granted a patent? Is Transfigured Night still surprising? Can one be technically incompetent, and yet have a flow experience? Do we search for answers differently in the arts from the sciences? Is creativity domain specific? Are heuristics always 'directional'? Is the topography of the unknown solution space often rugged? Do neural networks run algorithms? Is evolution creative? What does culture do? What is the simplest creativity problem that we do not understand? Is artificial creativity possible? Would such a system classify differently? What do you expect? SynTalk thinks about these & more questions using concepts from theoretical computer science (Dr. Deeparnab Chakrabarty, Microsoft Research, Bangalore), cognitive neuroscience (Prof. Arne Dietrich, American University of Beirut, Beirut, Lebabon), & theoretical physics (Dr. Anita Mehta, Kolkata). Listen in…

#TCOC (The Cusps Of Creativity) --- SynTalk

How unpredictable are we? Do our desires and constraints make us more detectable? Is data collection (somehow) always human? What’s not predictable? Can terrorist behaviour be predicted with consistency? Must data be balanced? Are cheats (terrorists, hackers, spiders, bots) more easily detected only if they are in the minority? Must predictions necessarily have explanatory power and granularity? Would tsunamis become completely predictable in the long run, as solar eclipses now are? Are predictions, like for gravitational waves, sometimes very difficult to confirm? Must we sometimes capture 'all' the data (say via sky surveys) even before deciding on all the analyses? Would natural history be more predictable if there were no astronomical events or human beings? Do very rare events (like 'zero day attacks’) often go undetected? Can we even predict if (and where) life might be elsewhere in the universe? Why is it so difficult? Will we know if/when aliens invade the earth? Could we be gone in the blink of an eye? Is it comforting to know (…precisely) how the night sky would look on 14th September 2400 AD? SynTalk thinks about these & more questions using concepts from statistics (Prof. G. Jogesh Babu, The Pennsylvania State University, Pennsylvania), natural history (Dr. John Mathew, IISER, Pune), & computer science (Prof. V. S. Subrahmanian, University of Maryland, Maryland). Listen in....

#TFOP (The Future Of Prediction) --- SynTalk

What makes Ujjain searchable? When did you last use a thesaurus? Does all search presuppose a structure, & can this structure be implicit? Is labeling necessary; when? How can one say if a text is structured? Are we all unique; but are we all also searchable because we belong to ‘groups’? Are all search problems matching problems? Is all search correlational? Can we search in different ways and find the same thing? Can different documents/texts/languages be coherent vis-à-vis each other? Is the final arbiter eventually the (human) searcher? Are you able to walk into any ‘library’ and use it with ease straightaway? To what extent can one determine (or estimate?) the identity of an unknown decomposed dead body? Does everything revolve around bones? Could our footprint give our face away? Are fingerprints gendered? How do we identify bird species? Why is image (or, even, sound) search difficult? How much can one disguise oneself? Could one search ambiguously and without, precisely, knowing what one is looking for? &, what kinds of searches are likely to remain very difficult in the future? SynTalk thinks about these & more questions using concepts from forensic anthropology (Dr. Kewal Krishan, Panjab University, Chandigarh), computational linguistics (Prof. Amba Kulkarni, University of Hyderabad, Hyderabad), & information sciences (Prof. Stephen Robertson, City University of London, London). Listen in…

#TTOTS (The Traits Of The Searchable) --- SynTalk

f(q) = Is soil a definitive sign of life? (#TCAFG)

SynTalk is a freewheeling interdisciplinary talk show with a philosophical approach to understanding the world from a long term perspective.