This is a great short article on bioengineering and synthetic biology written for the layperson. It’s also one of the best crash courses I’ve read on genetics in a while.
“The Information,” by James Gleick, is to the nature, history and significance of data what the beach is to sand.
This book is assuredly going to have to skip up to the top of my current reading list.
“The Information” is so ambitious, illuminating and sexily theoretical that it will amount to aspirational reading for many of those who have the mettle to tackle it. Don’t make the mistake of reading it quickly. Imagine luxuriating on a Wi-Fi-equipped desert island with Mr. Gleick’s book, a search engine and no distractions. “The Information” is to the nature, history and significance of data what the beach is to sand.
In this relaxed setting, take the time to differentiate among the Brownian (motion), Bodleian (library) and Boolean (logic) while following Mr. Gleick’s version of what Einstein called “spukhafte Fernwirkung,” or “spooky action at a distance.” Einstein wasn’t precise about what this meant, and Mr. Gleick isn’t always precise either. His ambitions for this book are diffuse and far flung, to the point where providing a thumbnail description of “The Information” is impossible.
So this book’s prologue is its most slippery section. It does not exactly outline a unifying thesis. Instead it hints at the amalgam of logic, philosophy, linguistics, research, appraisal and anecdotal wisdom that will follow. If Mr. Gleick has one overriding goal it is to provide an animated history of scientific progress, specifically the progress of the technology that allows information to be recorded, transmitted and analyzed. This study’s range extends from communication by drumbeat to cognitive assault by e-mail.
As an illustration of Mr. Gleick’s versatility, consider what he has to say about the telegraph. He describes the mechanical key that made telegraphic transmission possible; the compression of language that this new medium encouraged; that it literally was a medium, a midway point between fully verbal messages and coded ones; the damaging effect its forced brevity had on civility; the confusion it created as to what a message actually was (could a mother send her son a dish of sauerkraut?) and the new conceptual thinking that it helped implement. The weather, which had been understood on a place-by-place basis, was suddenly much more than a collection of local events.
Beyond all this Mr. Gleick’s telegraph chapter, titled “A Nervous System for the Earth,” finds time to consider the kind of binary code that began to make sense in the telegraph era. It examines the way letters came to treated like numbers, the way systems of ciphers emerged. It cites the various uses to which ciphers might be put by businessmen, governments or fiction writers (Lewis Carroll, Jules Verne and Edgar Allan Poe). Most of all it shows how this phase of communication anticipated the immense complexities of our own information age.
Although “The Information” unfolds in a roughly chronological way, Mr. Gleick is no slave to linearity. He freely embarks on colorful digressions. Some are included just for the sake of introducing the great eccentrics whose seemingly marginal inventions would prove to be prophetic. Like Richard Holmes’s “Age of Wonder” this book invests scientists with big, eccentric personalities. Augusta Ada Lovelace, the daughter of Lord Byron, may have been spectacularly arrogant about what she called “my immense reasoning faculties,” claiming that her brain was “something more than merely mortal.” But her contribution to the writing of algorithms can, in the right geeky circles, be mentioned in the same breath as her father’s contribution to poetry.
The segments of “The Information” vary in levels of difficulty. Grappling with entropy, randomness and quantum teleportation is the price of enjoying Mr. Gleick’s simple, entertaining riffs on the Oxford English Dictionary’s methodology, which has yielded 30-odd spellings of “mackerel” and an enchantingly tongue-tied definition of “bada-bing” and on the cyber-battles waged via Wikipedia. (As he notes, there are people who have bothered to fight over Wikipedia’s use of the word “cute” to accompany a picture of a young polar bear.) That Amazon boasts of being able to download a book called “Data Smog” in less than a minute does not escape his keen sense of the absurd.
As it traces our route to information overload, “The Information” pays tribute to the places that made it possible. He cites and honors the great cogitation hives of yore. In addition to the Institute for Advanced Study in Princeton, N.J., the Mount Rushmore of theoretical science, he acknowledges the achievements of corporate facilities like Bell Labs and I.B.M.’s Watson Research Center in the halcyon days when many innovations had not found practical applications and progress was its own reward.
“The Information” also lauds the heroics of mathematicians, physicists and computer pioneers like Claude Shannon, who is revered in the computer-science realm for his information theory but not yet treated as a subject for full-length, mainstream biography. Mr. Shannon’s interest in circuitry using “if … then” choices conducting arithmetic in a binary system had novelty when he began formulating his thoughts in 1937. “Here in a master’s thesis by a research assistant,” Mr. Gleick writes, “was the essence of the computer revolution yet to come.”
Among its many other virtues “The Information” has the rare capacity to work as a time machine. It goes back much further than Shannon’s breakthroughs. And with each step backward Mr. Gleick must erase what his readers already know. He casts new light on the verbal flourishes of the Greek poetry that preceded the written word: these turns of phrase could be as useful for their mnemonic power as for their art. He explains why the Greeks arranged things in terms of events, not categories; how one Babylonian text that ends with “this is the procedure” is essentially an algorithm; and why the telephone and the skyscraper go hand in hand. Once the telephone eliminated the need for hand-delivered messages, the sky was the limit.
In the opinion of “The Information” the world of information still has room for expansion. We may be drowning in spam, but the sky’s still the limit today.
2011 Andrew Viterbi Lecture
Ming Hsieh Department of Electrical Engineering
“Adventures in Coding Theory”
Professor Elwyn Berlekamp
University of California, Berkeley
Gerontology Auditorium, Thursday, March 3, 4:30 to 5:30 p.m.
The inventors of error-correcting codes were initially motivated by problems in communications engineering. But coding theory has since also influenced several other fields, including memory technology, theoretical computer science, game theory, portfolio theory, and symbolic manipulation. This talk will recall some forays into these subjects.
Elwyn Berlekamp has been professor of mathematics and of electrical engineering and computer science at UC Berkeley since 1971; halftime since 1983, and Emeritus since 2002. He also has been active in several small companies in the sectors of computers-communications and finance. He is now chairman of Berkeley Quantitative LP, a small money-management company. He was chairman of the Board of Trustees of MSRI from 1994-1998, and was at the International Computer Science Institute from 2001-2003. He is a member of the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences. Berlekamp has 12 patented inventions, some of which were co-authored with USC Professor Emeritus Lloyd Welch. Some of Berlekamp’s algorithms for decoding Reed-Solomon codes are widely used on compact discs; others are NASA standards for deep space communications. He has more than 100 publications, including two books on algebraic coding theory and seven books on the mathematical theory of combinatorial games, including the popular Dots-and-Boxes Game: Sophisticated Child’s Play.
I wish I could be at this lecture in person today, but I’ll have to live with the live webcast.
You know that automated machine language translation is not in good shape when the editor-in-chief of the IEEE’s Signal Processing Magazine says:
Finally, after 140 years, Robert Strain and Philip Gressman at the University of Pennsylvania have found a mathematical proof of Boltzmann’s equation, which predicts the motion of gas molecules.