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Reblogged from engineeringhistory  88 notes
engineeringhistory:

The UNIVAC I, an early commercial computer. The first model was purchased by the United States Census Bureau on March 31, 1951, and 17 other units were installed elsewhere throughout the 1950s. One of the machines was famously used by CBS to predict the result of the 1952 presidential election.

engineeringhistory:

The UNIVAC I, an early commercial computer. The first model was purchased by the United States Census Bureau on March 31, 1951, and 17 other units were installed elsewhere throughout the 1950s. One of the machines was famously used by CBS to predict the result of the 1952 presidential election.

Reblogged from engineeringhistory  21 notes
engineeringhistory:

The IEEE History Center Press is proud to unveil its latest publication New York Power which is now available for purchase from Amazon. New York City’s density placed unique constraints on its electric light and power supply. Electrification began during the 1880s, but many innovations were required to supply urban service at a cost that would make possible large-scale consumption. New York Power tells the story of the electrification of the one of the densest electrical load areas in the world, it was also where alternating current challenged and then ultimately vanquished the original direct-current system. Author Joseph J. Cunningham has consulted a variety of historical sources to bring us the story of the massive and sustained effort to develop New York City’s electric utility system. He has researched and authored numerous articles and books on topics such as industrial electrification and electric rail transportation, and has taught widely on the history of electric power systems and consulted on numerous electro-technology projects and television productions. He is the historical consultant for Lionel Trains.

engineeringhistory:

The IEEE History Center Press is proud to unveil its latest publication New York Power which is now available for purchase from Amazon. New York City’s density placed unique constraints on its electric light and power supply. Electrification began during the 1880s, but many innovations were required to supply urban service at a cost that would make possible large-scale consumption. New York Power tells the story of the electrification of the one of the densest electrical load areas in the world, it was also where alternating current challenged and then ultimately vanquished the original direct-current system. Author Joseph J. Cunningham has consulted a variety of historical sources to bring us the story of the massive and sustained effort to develop New York City’s electric utility system. He has researched and authored numerous articles and books on topics such as industrial electrification and electric rail transportation, and has taught widely on the history of electric power systems and consulted on numerous electro-technology projects and television productions. He is the historical consultant for Lionel Trains.

Reblogged from we-are-star-stuff  763 notes
science-junkie:

Software beats CAPTCHA, the web’s ‘are you human?’ test
Are you human? It just got a lot harder for websites to tell. An artificial intelligence system has cracked the most widely used test of whether a computer user is actually a software bot. And according to its designers, it is more than a curiosity – it is a step on the way to human-like artificial intelligence.
Asking people to read distorted text is a common way for websites to determine whether or not a user is human. These CAPTCHAs – which stands for Completely Automated Public Turing test to tell Computers and Humans Apart – can theoretically take on any form, but the text version has proven effective in stopping spam and malicious software bots.
That’s because software has trouble deciphering text when letters are warped, overlapping or obfuscated by random lines, dots and colours. Humans, on the other hand, can recognise nearly endless variations of a letter after having only seen it a few times.
Vicarious, a start-up firm in Union City, California, announced this week that it has built an algorithm that can defeat any text-based CAPTCHA – a goal that has long eluded security researchers. It can pass Google’s reCAPTCHA, regarded as the most difficult, 90 per cent of the time, says Dileep George, co-founder of the firm. And it does even better against CAPTCHAs from Yahoo, Paypal and CAPTCHA.com.
George says the result isn’t as important as the methods, which he and CEO Scott Phoenix hope will lead to more human-like AI.
Read more

science-junkie:

Software beats CAPTCHA, the web’s ‘are you human?’ test

Are you human? It just got a lot harder for websites to tell. An artificial intelligence system has cracked the most widely used test of whether a computer user is actually a software bot. And according to its designers, it is more than a curiosity – it is a step on the way to human-like artificial intelligence.

Asking people to read distorted text is a common way for websites to determine whether or not a user is human. These CAPTCHAs – which stands for Completely Automated Public Turing test to tell Computers and Humans Apart – can theoretically take on any form, but the text version has proven effective in stopping spam and malicious software bots.

That’s because software has trouble deciphering text when letters are warped, overlapping or obfuscated by random lines, dots and colours. Humans, on the other hand, can recognise nearly endless variations of a letter after having only seen it a few times.

Vicarious, a start-up firm in Union City, California, announced this week that it has built an algorithm that can defeat any text-based CAPTCHA – a goal that has long eluded security researchers. It can pass Google’s reCAPTCHA, regarded as the most difficult, 90 per cent of the time, says Dileep George, co-founder of the firm. And it does even better against CAPTCHAs from Yahoo, Paypal and CAPTCHA.com.

George says the result isn’t as important as the methods, which he and CEO Scott Phoenix hope will lead to more human-like AI.

Read more