“Learning Relational Event Models from Video” by Krishna S. R. Dubba, Anthony G. Cohn, David C. Hogg

In this paper scientists from the University of Leeds introduce a new structure for supervised relational learning of event models.

Inductive Logic Programming and other machine learning techniques are adapted to use video data.   Efficiency balances generalization and over especification deploying layers of differentiated hierarchy of object types.
Experimental results presented suggest that the techniques are suitable to real world scenarios.

“Losing the thread” – by Virginia Postrel

article featured in aeon reminds us about the history of textile technology.

It might be the case that ideas such as Google’s Project Jacquard comes to add a thread the fabric, but still textile as a stand-alone tech case brings more attention to non-computing tech many often downplay..

From the article:

The story of technology is in fact the story of textiles. From the most ancient times to the present, so too is the story of economic development and global trade. The origins of chemistry lie in the colouring and finishing of cloth. … In ways both subtle and obvious, textiles made our world.

(…)

 

As late as the 1970s, textiles still enjoyed the aura of science. Since then, however, we’ve stopped thinking of them as a technical achievement. In today’s popular imagination, fabric entirely belongs to the frivolous world of fashion. Even in the pages of Vogue, ‘wearable technology’ means electronic gadgets awkwardly tricked out as accessories, not the soft stuff you wear against your skin – no matter how much brainpower went into producing it. …

This cultural amnesia has multiple causes. The rise of computers and software as the very definition of ‘high technology’ eclipsed other industries. Intense global competition drove down prices of fibres and fabric, making textiles and apparel a less noticeable part of household budgets, and turning textile makers into unglamorous, commodity businesses. Environmental campaigns made synthetic a synonym for toxic. And for the first time in human history, generations of women across the developed world grew up without learning the needle arts.

As understandable as it might be, forgetting about textiles sacrifices an important part of our cultural heritage. It cuts us off from essential aspects of the human past, including the lives and work of women. It deprives us of valuable analogies for understanding how technology and trade transform economies and culture. It blinds us to some of today’s most pervasive innovations – and some of tomorrow’s most intriguing…. read full article

 

“Putting the Data Science into Journalism” By Keith Kirkpatrick

“The key attributes journalists must have—separate fact from opinion, find and develop sources, and curiosity to ask probing, intelligent questions—are still relevant today’s 140-character-or-less, ADHD-esque society. Yet increasingly, journalists dealing with technical topics often found in science or technology are turning to tools that were once solely the province of data analysts and computer scientists.

Data mining, Web scraping, classifying unstructured data types, and creating complex data visualizations uncover data that would be impossible to compile manually.

“It is about giving the audience information that is unique, in-depth, that allows them to explore the data, and also engage with the audience,” says David Herzog, a professor at the University of Missouri…” read story

 

“Is the universe a hologram? Describing the universe requires fewer dimensions than we might think; this may not just be a mathematical trick, but a fundamental feature of space itself”

As reported in this article from TU Wien in Vienna, recent developments in theoretical physics have shown how we may reduce the mathematical description of physical events into analogous models using less dimensions than previously thought.

In a way, 3D models would be re-written as instances of 2D systems.  Our universe complexity may be understood in less dimensions that are dreamt in our minds.

Writer’s reading lists: Ernest Hemingway

This list was originally written down and handed to Arnold Samuelson.

  1. “The Blue Hotel” by Stephen Crane
  2. “The Open Boat” by Stephen Crane
  3. Madame Bovary, by Gustave Flaubert
  4. Dubliners, by James Joyce
  5. The Red and the Black, by Stendhal
  6. Of Human Bondage, by Somerset Maugham
  7. Anna Karenina, by Leo Tolstoy
  8. War and Peace, by Leo Tolstoy
  9. Buddenbrooks, by Thomas Mann
  10. Hail and Farewell, by George Moore
  11. The Brothers Karamazov, by Fyodor Dostoyevsky
  12. The Oxford Book of English Verse
  13. The Enormous Room, by E.E. Cummings
  14. Wuthering Heights, by Emily Bronte
  15. Far Away and Long Ago, by W.H. Hudson
  16. The American, by Henry James

If we need to rebuilt civilization – should we spare some oil for it?

“Out of the ashes”, by Lewis Dartnell, featured in aeon.co

“Imagine that the world as we know it ends tomorrow. There’s a global catastrophe: a pandemic virus, an asteroid strike, or perhaps a nuclear holocaust. The vast majority of the human race perishes. Our civilisation collapses. The post-apocalyptic survivors find themselves in a devastated world of decaying, deserted cities and roving gangs of bandits looting and taking by force.

Bad as things sound, that’s not the end for humanity. We bounce back. Sooner or later, peace and order emerge again, just as they have time and again through history. Stable communities take shape. They begin the agonising process of rebuilding their technological base from scratch. But here’s the question: how far could such a society rebuild? Is there any chance, for instance, that a post-apocalyptic society could reboot a technological civilisation?

Let’s make the basis of this thought experiment a little more specific. Today, we have already consumed the most easily drainable crude oil and, particularly in Britain, much of the shallowest, most readily mined deposits of coal. Fossil fuels are central to the organisation of modern industrial society, just as they were central to its development. Those, by the way, are distinct roles: even if we could somehow do without fossil fuels now (which we can’t, quite), it’s a different question whether we could have got to where we are without ever having had them…” read full story

 

 

Gene Editing in Human Embryos

DNA manipulation technique using CRISPR enzymes, binds to particular parts of the genome before splicing it, promissed nothing less than a revolution in genetics.  Now it starts bearing fruits, and initial human-dna editing testing under way, even as many heed warnings on ethical issues.

Chinese researchers were cautious enough to select only non-viable embryos.  While results were not consistent enough to indicate we mastered genetic altering, it stands as a clear statement that this fronteer is open for game.  And that (some) researchers are not waiting until the ethical debate around it is settle – if such a thing is even possible.

A couple of recent articles about this on MIT Review, by Jason Pontin, and in Popular Science by Alexandra Ossola

 

Writers’s reading lists: Neil deGrasse Tyson

When a reader on Reddit’sAsk Me Anything series asked “Which books should be read by every single intelligent person on the planet?” this is what Neil deGrasse Tyson posted [edited to fit a list format]: 

  1. “The Bible – to learn that it’s easier to be told by others what to think and believe than it is to think for yourself.
  2. The System of the World (Newton) – to learn that the universe is a knowable place.
  3. On the Origin of Species (Darwin) – to learn of our kinship with all other life on Earth.
  4. Gulliver’s Travels (Swift) – to learn, among other satirical lessons, that most of the time humans are Yahoos.
  5. The Age of Reason (Paine) – to learn how the power of rational thought is the primary source of freedom in the world.
  6. The Wealth of Nations (Smith) – to learn that capitalism is an economy of greed, a force of nature unto itself.
  7. The Art of War (Sun Tsu) – to learn that the act of killing fellow humans can be raised to an art.
  8. The Prince (Machiavelli) – to learn that people not in power will do all they can to acquire it, and people in power will do all they can to keep it.

If you read all of the above works you will glean profound insight into most of what has driven the history of the western world.”
 

“Kinds Of Minds: Toward An Understanding Of Consciousness” by Daniel C. Dennet

Brilliant combination of philosophy, artificial intelligence, and neurobiology.
in “Kinds of Minds” Daniel Dennett takes reader to inquire about minds of one own’s, other humans’, animals, A.I.
From the role played by language to the intrinsic capabilities embeded in DNA and RNA.
You can take a peek into the first chapter in the video below read by the author himself, and other chapters on youtube.

might also relate to this post on a collection of texts on anthropomorphism

“Determining Possible and Necessary Winners Given Partial Orders” by L. Xia and V. Conitzer

“Usually a voting rule requires agents to give their preferences as linear orders. However, in some cases it is impractical for an agent to give a linear order over all the alternatives. It has been suggested to let agents submit partial orders instead. Then, given a voting rule, a profile of partial orders, and an alternative (candidate) c, two important questions arise: first, is it still possible for c to win, and second, is c guaranteed to win? These are the possible winner and necessary winner problems, respectively….”

“Scheduling Conservation Designs for Maximum Flexibility via Network Cascade Optimization” by Shan Xue, Alan Fern and Daniel Sheldon

“One approach to conserving endangered species is to purchase and protect a set of land parcels in a way that maximizes the expected future population spread. Unfortunately, an ideal set of parcels may have a cost that is beyond the immediate budget constraints and must thus be purchased incrementally. This raises the challenge of deciding how to schedule the parcel purchases in a way that maximizes the flexibility of budget usage while keeping population spread loss in control. In this paper, we introduce a formulation of this scheduling problem that does not rely on knowing the future budgets of an organization. In particular, we consider scheduling purchases in a way that achieves a population spread no less than desired but delays purchases as long as possible…”

“Lazy Model Expansion: Interleaving Grounding with Search” by Broes De Cat, Marc Denecker, Maurice Bruynooghe and Peter Stuckey

Finding satisfying assignments for the variables involved in a set of constraints can be cast as a (bounded) model generation problem: search for (bounded) models of a theory in some logic. The state-of-the-art approach for bounded model generation for rich knowledge representation languages is ground-and-solve: reduce the theory to a ground or propositional one and apply a search algorithm to the resulting theory.
An important bottleneck is the blow-up of the size of the theory caused by the grounding phase. Lazily grounding the theory during search is a way to overcome this bottleneck. We present a theoretical framework and an implementation in the context of the FO(.) knowledge representation language. Instead of grounding all parts of a theory, justifications are derived for some parts of it…

“Scaling up Heuristic Planning with Relational Decision Trees” by T. De la Rosa, S. Jimenez, R. Fuentetaja and D. Borrajo

“Current evaluation functions for heuristic planning are expensive to compute. In numerous planning problems these functions provide good guidance to the solution, so they are worth the expense. However, when evaluation functions are misguiding or when planning problems are large enough, lots of node evaluations must be computed, which severely limits the scalability of heuristic planners. In this paper, we present a novel solution for reducing node evaluations in heuristic planning based on machine learning…”

“Identifying Aspects for Web-Search Queries” by F. Wu, J. Madhavan and A. Halevy

“Many web-search queries serve as the beginning of an exploration of an unknown space of information, rather than looking for a specific web page. To answer such queries effec- tively, the search engine should attempt to organize the space of relevant information in a way that facilitates exploration.

We describe the Aspector system that computes aspects for a given query. Each aspect is a set of search queries that together represent a distinct information need relevant to the original search query. To serve as an effective means to explore the space, Aspector computes aspects that are orthogonal to each other and to have high combined coverage…