0.724
Based on primary energy power · Type I = 1

AccelerationFour-dimensional view14 years agoDeep Learning
A deep convolutional network trained on GPUs wins the ImageNet competition, slashing the error rate.
Art style · 2010s realistic laboratory illustration
Each sparkline shows the documented history of a metric on a logarithmic time axis. The dot marks the selected moment.
0.724
Based on primary energy power · Type I = 1
7.25Bpeople
1/1 of today
1.7×10¹³W
1/1 of today
1.7×10⁹floating-point operations per second per dollar (FLOP/s per $, nominal dollars)
1/48 of today
0.03 seconds
Comparable to today
39,897km/h
Comparable to today
The eight closest milestones. Select a title to jump there.
IBM's Watson defeats human champions on the TV quiz show. Source

Doudna and Charpentier show that CRISPR-Cas9 can cut DNA at chosen sites. Source
An all-electric sedan with a range of about 400 km begins reaching customers. Source
CERN announces the discovery of the Higgs boson. Source
The last main generating unit comes online, and the world's largest hydropower station reaches full output. Source

A deep convolutional network trained on GPUs wins the ImageNet competition, slashing the error rate. Source
The three major carriers receive TD-LTE licenses, and mobile video and live streaming become part of daily life. Source
Grabbing red envelopes over Chinese New Year leads huge numbers of users to link bank cards and adopt mobile payments. Source
Acquired84 / 121 items
Each era illustrated in its own style.
Every timeline entry cites its source. Metrics interpolate logarithmically between sourced data points. Forecasts include institutional and community views, and attributed site scenarios; years are not guaranteed realization dates. Illustrations are AI-generated in each era's style.