How #ComputerVision-Powered Pose Estimation Can Optimize #SmartCity #Mobility
by @joshinav @BBNTimes_en Go to: https://
buff.ly/3yjG02R #AI #IoT #BigData #MachineLearning #ArtificialIntelligence #ML #MI cc: @bigdata @patrickgunz_ch @amuellerml
SUSTAINABILITY
-
Computer Vision Pose Estimation Optimizes Smart City Mobility
By
–
-
Algae Powers Computer for One Year: Sustainable Innovation
By
–
Algae has powered this computer for 1 year and counting
— Ronald van Loon (@Ronald_vanLoon) 10 mars 2023
by @wef#AI #ArtificialIntelligence #Innovation #Sustainability #Renewables #CleanEnergy #Tech #Technology
cc: @maxjcm @ronald_vanloon @pascal_bornet @marcusborba pic.twitter.com/hhICKF215IAlgae has powered this computer for 1 year and counting
by @wef #AI #ArtificialIntelligence #Innovation #Sustainability #Renewables #CleanEnergy #Tech #Technology cc: @maxjcm @ronald_vanloon @pascal_bornet @marcusborba -
Accurate CO2e Measurements for ML Models Matter
By
–
An important thread about misrepresentation of CO2e numbers for different ML models. I believe it's good to use actual measurements of this data, rather than estimates that are flawed in a variety of ways.
-
Language Model Training Emissions 3261X Lower Than Previous Estimates
By
–
The actual emissions for training a language model of the scale examined by Strubell et al. is 3261X smaller than this flawed estimate even if you consider the "P100 in average US data center on average electrical grid" scenario they were evaluating
… -
NAS Search Emissions Estimate Off by 88X
By
–
… meaning the actual estimate for the one-time NAS search was off by 88X.
This highly flawed estimate was then portayed as the emissions for training a language model, rather than the one-time cost of the NAS. … -
CO2e Estimation Errors in AI Model Training Studies
By
–
…then estimated the CO2e as if it was run on P100 GPUs in average U.S. datacenter (much higher emissions, much worse PUE, so off by ~5X from actual running environment). Worse, they missed the use of smaller proxy tasks by So et al & so were off by a further factor of 19X…
-
Strubell Study Criticized for Misleading Carbon Efficiency Claims
By
–
I completely agree with this take. Indeed, these issues have plagued other prominent work in this field. As one prominent example, the heavily cited Strubell et al. work took a one-time Neural Architecture Search done on TPUs in an efficient, low carbon Google Data center …
-
Drones for Solar Farm Inspection and Monitoring
By
–
#Drones can be used to inspect and monitor solar farms
— Ronald van Loon (@Ronald_vanLoon) 10 mars 2023
via @JeroenBartelse#Aviation #MI #Robotics #Innovation #ArtificialIntelligence #FutureOfWork #Tech
cc: @dirkschaar @space_mog @maxjcm @ronald_vanloon pic.twitter.com/jxCYUsFKD3#Drones can be used to inspect and monitor solar farms
via @JeroenBartelse #Aviation #MI #Robotics #Innovation #ArtificialIntelligence #FutureOfWork #Tech cc: @dirkschaar @space_mog @maxjcm @ronald_vanloon -
Lifeguard Drones Now Saving Humans from Drowning
By
–
Lifeguard #Drones are now saving humans from drawing
— Ronald van Loon (@Ronald_vanLoon) 9 mars 2023
by @TechInsider#AI #ArtificialIntelligence #Tech #Technology #Innovation #TechForGood #FutureOfWork
cc: @maxjcm @ronald_vanloon @pascal_bornet @marcusborba pic.twitter.com/WsUf5hnTSxLifeguard #Drones are now saving humans from drawing
by @TechInsider #AI #ArtificialIntelligence #Tech #Technology #Innovation #TechForGood #FutureOfWork cc: @maxjcm @ronald_vanloon @pascal_bornet @marcusborba -
BirdCLEF Competition Launches ML Bird Species Identification Models
By
–
With worldwide bird populations declining, effective monitoring is critical to develop conservation solutions. Announcing the BirdCLEF competition where participants will build ML models that can ID bird species from remote monitoring recordings. Sign up↓