Axionable鈥檚 #AI #lab dedicated to #AppliedResearch for #PositiveImpact

Paris | Lille | Montr茅al
Joined February 2017
The #MontrealStatement outlines 5 near-term, cross-cutting actions that could help drive a global transformation to a #lowcarbon, #resilient and equitable future and @AxionableAI is proud to support it 馃憠 bit.ly/31CLplL #sustainabilitydigitalage @SustDigitalAge
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Replying to @AIatMeta
@facebookai has just released an innovative algorithm for #TimeSeries analysis called AR-Net. It combines traditional #statistical #models and #NeuralNetworks models and takes the best of each to improve #forecasting and anomaly detection 馃憠 buff.ly/360OFWN #AI
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Check out how occupation and salary are correlated in this great #dataviz from @flowingdata made in #R and #D3js 馃憠buff.ly/2rXwcvJ #AI #DataAnalytics #Data #DataScience
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When analyzing a #music, source separation is a real challenge. The human brain can dissociate the different sources (bass, drums, vocals...) and thanks to #DeepLearning , it is now possible to perform this separation computationally 馃憠 buff.ly/35VGnzo #AI #RNN #DL
Have you ever wondered if your outfits would match with runway looks? Upload your own photo and see how designers have used a similar color palette in fashion 馃憠buff.ly/2QOPuxL #AI #Clustering #googlearts #DeepLearning
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#Pandas has become an ubiquitous library in Python #MachineLearning projects for manipulating #Data in dataframes. Find out how to increase its efficiency up to 86x on specific tasks and save a lot of time 馃憠buff.ly/2O6GWPF #AI #ParallelComputing #Datascience
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A new generation of giant superfast specialized hardware could make cancer drug development and material discovery orders of magnitude faster. This would represent a major upheaval in #HealthCare 馃憠buff.ly/2QBnBJf #AI #techforgood #HealthTech
Google Cloud Next '19 UK has just finished today. Find out what Thomas Kurian, Google Cloud's CEO is expecting for the future of the service in his 9 boldest statements 馃憠 buff.ly/2r7Vx5N #Cloud #DataStorage #Data #GoogleCloud #Interpretability
One of the majors issues concerning intelligent systems such as autonomous cars or robotics is the responsibility of #AI decisions. Who will have to face the consequences of automated bad choices and be accounted for them? Let's fuel the debate 馃憠 buff.ly/2CZQarR
Everybody knows the story of Deep Blue beating grandmaster Kasparov two decades ago. This day marked the beginning of what we call today #ArtificialIntelligence. But was it really intelligence? What can machines contribute to chess? 馃憠 buff.ly/35ll5Lg #AI #Reinforcement