It's a wrap for #FDTroadshow 2023. Thx to #marseillefos and #CISAM for giving our projects the opportunity to present their solutions and connect. A bientôt! 🇫🇷🛳️👋
#fdtroadtrip23 finished our first stage in Paris 🗼, talking innovation & 🇫🇷🇩🇪 cooperation at @joinstationf and @UnivParisSaclay and visiting Jean Zay Supercomputer @Genci_fr @INS2I_CNRS . Now off to Marseille! 🚄
.@Implisense stellt umfangreiche Unternehmensdaten bereit, ist für die Erfassung strukturierter Datenquellen verantwortlich und führt Analysen von Finanzdaten und Firmennetzwerken durch. https://t.co/jieeUQ5VsF #PartnerWeek#CoypuProjekt
Why did renewables become so cheap so fast? And what can we do to use this global opportunity for green growth? - Our World in Data https://t.co/bu8iO3Gfpd
Which cities offer the best cost of living and quality of life balance for expats around the world? You want to position yourself as high and as far left as possible. Source: https://t.co/MrPdoZW51F
Animation compares the average global temperature from 1851 to 1900 with the 10 year average global temperature of the year displayed. Source: https://t.co/Lgsw9LJ3Bw
This is a simple virtual creature learning to jump over a ball using genetic algorithms. It takes 249 generations, but the final result is great [full video: https://t.co/cNiwYFjGHj]
Since everyone is talking about black holes at the moment. Here is an astronomer explaining what a black hole is in five different levels of complexity from a 5 year old to another expert. My brain hurts. Source: https://t.co/OfVNq4xkc1
Wow, #Germany records share of #renewables in gross electricity production of 41.1% in Jan/Feb - the months of the much-dreaded Dunkelflaute! https://t.co/8rtKz9vZXl #EnergyTransition#Energiewende
This map shows the recreational shipping vessels around Britain. Go to the link to see how the traffic routes for tankers, cargo ships and ferries differ. Very cool piece of work. Source: https://t.co/LuoQ1Ck30a
Animated map shows the share of population across the world from 1981 to 2015 that lived in extreme poverty. Have a look at China! Source: https://t.co/BtyBvJ1Hxz