- See Also
-
Links
- “Pet Cloning Is Booming in China”, 2022
- “Progress in Mathematical Programming 2001–2020”, Et Al 2022
- “From Stroke to Stoke: The Multiple Sporting Legacies of the Southern California Home Swimming Pool”, 2021
- “Research Community Dynamics behind Popular AI Benchmarks”, Martínez- Et Al 2021
- “How to Train BERT With an Academic Budget”, Et Al 2021
- “Measuring Progress in Deep Reinforcement Learning Sample Efficiency”, 2020
- “Measuring Hardware Overhang”, Hippke 2020
- “A Time Leap Challenge for SAT Solving”, Et Al 2020
- “Danny Hernandez on Forecasting and the Drivers of AI Progress”, Et Al 2020
- “Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Performance”, KC Et Al 2020
- “Measuring the Algorithmic Efficiency of Neural Networks”, 2020
- “AI and Efficiency: We’re Releasing an Analysis Showing That Since 2012 the Amount of Compute Needed to Train a Neural Net to the Same Performance on ImageNet Classification Has Been Decreasing by a Factor of 2 Every 16 Months”, 2020
- “2019 Recent Trends in GPU Price per FLOPS”, 2020
- “Accelerating Self-Play Learning in Go”, 2019
- “Training Imagenet in 3 Hours for $25; and CIFAR-10 for $0.26”, 2018
- “Innovation and Cumulative Culture through Tweaks and Leaps in Online Programming Contests”, Et Al 2018
- “How Well Do Experience Curves Predict Technological Progress? A Method for Making Distributional Forecasts”, Et Al 2017
- “Technology Forecasting: The Garden of Forking Paths”, 2014
- “What You Should Know About Megaprojects and Why: An Overview”, 2014
- “Algorithmic Progress in Six Domains”, 2013
- “Intelligence Explosion Microeconomics”, 2013
- “The Wait Calculation: The Broader Consequences of the Minimum Time from Now to Interstellar Destinations and Its Statistical-Significance to the Space Economy”, 2013
- “Statistical Basis for Predicting Technological Progress”, Et Al 2012
- “The International SAT Solver Competitions”, Et Al 2012
- “Interstellar Travel: The Wait Calculation and the Incentive Trap of Progress”, 2006
- “Moore’s Law and the Technology S-Curve”, 2004
- “Solving Real-World Linear Programs: A Decade and More of Progress”, 2002
- “On Proebsting’s Law”, 2001
- “The Learning Curve and the Yield Factor: the Case of Korea’s Semiconductor Industry”, 2001
- “The Effects of Moore’s Law and Slacking on Large Computations”, Et Al 1999
- “Proebsting’s Law: Compiler Advances Double Computing Power Every 18 Years”, 1998
- “Competitive Cost Dynamics: The Experience Curve”, 1982
- “Some Thoughts on Education and Political Priorities, 2013”
- “Using Learning Curve Theory to Redefine Moore’s Law”
- “Now Anyone Can Train Imagenet in 18 Minutes”
- “Analysis of World Records in Speedrunning [LINKPOST]”
- “Now You Can Sequence Your Whole Genome for Just $200”
- Wikipedia
- Miscellaneous
- Link Bibliography
See Also
Links
“Pet Cloning Is Booming in China”, 2022
“Pet Cloning is Booming in China”, 2022-07-25 (; backlinks; similar)
“Progress in Mathematical Programming 2001–2020”, Et Al 2022
“Progress in Mathematical Programming Solvers 2001–2020”, 2022-06-20 (; similar)
“From Stroke to Stoke: The Multiple Sporting Legacies of the Southern California Home Swimming Pool”, 2021
“From Stroke to Stoke: The Multiple Sporting Legacies of the Southern California Home Swimming Pool”, 2021-10-06 (; similar; bibliography)
“Research Community Dynamics behind Popular AI Benchmarks”, Martínez- Et Al 2021
“Research community dynamics behind popular AI benchmarks”, 2021-05-17 (; similar; bibliography)
“How to Train BERT With an Academic Budget”, Et Al 2021
“How to Train BERT with an Academic Budget”, 2021-04-15 (; similar)
“Measuring Progress in Deep Reinforcement Learning Sample Efficiency”, 2020
“Measuring Progress in Deep Reinforcement Learning Sample Efficiency”, 2020-09-28 (; similar)
“Measuring Hardware Overhang”, Hippke 2020
“Measuring hardware overhang”, 2020-08-05 (; backlinks; similar)
“A Time Leap Challenge for SAT Solving”, Et Al 2020
“A Time Leap Challenge for SAT Solving”, 2020-08-05 (; backlinks)
“Danny Hernandez on Forecasting and the Drivers of AI Progress”, Et Al 2020
“Danny Hernandez on forecasting and the drivers of AI progress”, 2020-05-22 (; similar)
“Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Performance”, KC Et Al 2020
“Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Performance”, 2020-05-20 (; similar; bibliography)
“Measuring the Algorithmic Efficiency of Neural Networks”, 2020
“Measuring the Algorithmic Efficiency of Neural Networks”, 2020-05-08 (; similar)
“AI and Efficiency: We’re Releasing an Analysis Showing That Since 2012 the Amount of Compute Needed to Train a Neural Net to the Same Performance on ImageNet Classification Has Been Decreasing by a Factor of 2 Every 16 Months”, 2020
“AI and Efficiency: We’re releasing an analysis showing that since 2012 the amount of compute needed to train a neural net to the same performance on ImageNet classification has been decreasing by a factor of 2 every 16 months”, 2020-05-05 (; backlinks; similar)
“2019 Recent Trends in GPU Price per FLOPS”, 2020
“2019 recent trends in GPU price per FLOPS”, 2020-03-25 (; backlinks; similar)
“Accelerating Self-Play Learning in Go”, 2019
“Accelerating Self-Play Learning in Go”, 2019-02-27 (; similar)
“Training Imagenet in 3 Hours for $25; and CIFAR-10 for $0.26”, 2018
“Training Imagenet in 3 hours for $25; and CIFAR-10 for $0.26”, 2018-04-30 (; backlinks; similar; bibliography)
“Innovation and Cumulative Culture through Tweaks and Leaps in Online Programming Contests”, Et Al 2018
“Innovation and cumulative culture through tweaks and leaps in online programming contests”, 2018 (; similar)
“How Well Do Experience Curves Predict Technological Progress? A Method for Making Distributional Forecasts”, Et Al 2017
“How well do experience curves predict technological progress? A method for making distributional forecasts”, 2017-03-17 (; similar)
“Technology Forecasting: The Garden of Forking Paths”, 2014
“Technology Forecasting: The Garden of Forking Paths”, 2014-06-01 (; backlinks; similar; bibliography)
“What You Should Know About Megaprojects and Why: An Overview”, 2014
“What You Should Know About Megaprojects and Why: An Overview”, 2014-04-07 (; backlinks; similar)
“Algorithmic Progress in Six Domains”, 2013
“Algorithmic Progress in Six Domains”, 2013-12-09 (; similar)
“Intelligence Explosion Microeconomics”, 2013
“Intelligence Explosion Microeconomics”, 2013-09-13 (; similar)
“The Wait Calculation: The Broader Consequences of the Minimum Time from Now to Interstellar Destinations and Its Statistical-Significance to the Space Economy”, 2013
“The Wait Calculation: The Broader Consequences of the Minimum Time from Now to Interstellar Destinations and its Statistical-Significance to the Space Economy”, 2013-01 (; backlinks; similar; bibliography)
“Statistical Basis for Predicting Technological Progress”, Et Al 2012
“Statistical Basis for Predicting Technological Progress”, 2012-11-19 (; backlinks; similar)
“The International SAT Solver Competitions”, Et Al 2012
“The International SAT Solver Competitions”, 2012-03-15 (; backlinks; similar)
“Interstellar Travel: The Wait Calculation and the Incentive Trap of Progress”, 2006
“Interstellar Travel: The Wait Calculation and the Incentive Trap of Progress”, 2006-07 (; backlinks; similar; bibliography)
“Moore’s Law and the Technology S-Curve”, 2004
“Moore's law and the Technology S-Curve”, 2004-12-01 ()
“Solving Real-World Linear Programs: A Decade and More of Progress”, 2002
“Solving Real-World Linear Programs: A Decade and More of Progress”, 2002-02-01 (; similar)
“On Proebsting’s Law”, 2001
“On Proebsting's Law”, 2001-03-01 (; backlinks; similar)
“The Learning Curve and the Yield Factor: the Case of Korea’s Semiconductor Industry”, 2001
“The Effects of Moore’s Law and Slacking on Large Computations”, Et Al 1999
“The Effects of Moore’s Law and Slacking on Large Computations”, 1999-12-09 (; backlinks)
“Proebsting’s Law: Compiler Advances Double Computing Power Every 18 Years”, 1998
“Proebsting’s Law: Compiler Advances Double Computing Power Every 18 Years”, 1998 (; backlinks; similar)
“Competitive Cost Dynamics: The Experience Curve”, 1982
“Competitive Cost Dynamics: The Experience Curve”, 1982-10-01 (similar)
“Some Thoughts on Education and Political Priorities, 2013”
“Using Learning Curve Theory to Redefine Moore’s Law”
“Now Anyone Can Train Imagenet in 18 Minutes”
“Analysis of World Records in Speedrunning [LINKPOST]”
“Now You Can Sequence Your Whole Genome for Just $200”
Wikipedia
Miscellaneous
Link Bibliography
-
2021-murtha.pdf: “From Stroke to Stoke: The Multiple Sporting Legacies of the Southern California Home Swimming Pool”, Murtha Ryan, Ozyurtcu Tolga: -
2021-martinezplumed.pdf: “Research Community Dynamics behind Popular AI Benchmarks”, Fernando Martínez-Plumed, Pablo Barredo, Seán Ó hÉigeartaigh, José Hernández-Orallo: -
2020-kc.pdf: “Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Performance”, Diwas S. KC, Bradley R. Staats, Maryam Kouchaki, Francesca Gino: -
https://www.fast.ai/2018/04/30/dawnbench-fastai/: “Training Imagenet in 3 Hours for $25; and CIFAR-10 for $0.26”, Jeremy Howard: -
forking-path: “Technology Forecasting: The Garden of Forking Paths”, Gwern Branwen: -
2013-kennedy.pdf: “The Wait Calculation: The Broader Consequences of the Minimum Time from Now to Interstellar Destinations and Its Statistical-Significance to the Space Economy”, Andrew Kennedy: -
2006-kennedy.pdf: “Interstellar Travel: The Wait Calculation and the Incentive Trap of Progress”, Andrew Kennedy: