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I love this theory: Roman numerals seem awkward for calculations, since they were basically the equivalent of computer code, designed for use with the abacus (the computer of the time)
With an abacus, Roman numerals beat Arabic ones for fast calculations! https://t.co/2lVsW5yroP
The impacts of sim-to-real Reinforcement Learning have yet to be seen, but they’re coming.
#RL is the type of #machinelearning responsible for training #AI to beat world champions in games from Go to Dota...
How does it work?
Why is sim-to-real such a big deal?
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Hindsight is always 20/20, but will insights from this quantitatively backed optimal mitigation strategy be taken into consideration for the next health crisis?
To learn more about this research, click on the link below!
https://t.co/bNQTln1lpd
The question of "what-if" has been the subject of everlasting discussion regarding the mitigation efforts for the #COVID19 pandemic. Was the lockdown too weak? What if we had acted earlier and with more severity? Would the #economy have fared worse if we were stricter?
The tools even helps #teachers check on submitted solutions, sends notifications when students get stuck, & provides tools to #analyze the student’s solutions..
Improving the course exercises/structure!
A great new tool for #learningthroughplay.
#education#ML#slovakia#AI
“Lets learn #UNIX!” isn’t often said with a whole bunch of excitement… but what if it could be.
#Gamification is one of our favorite topics and new research from @ComeniusUni makes learning UNIX easy by turning it into a #opensource text adventure game available on #Github!
The goals they kept in mind while #designing the tool were:
1.Use a real UNIX command line
2.Immediate Evaluation
3.Plaintext configuration (assignments and their structure most be storable in a plaintext file)
4.Platform Independence
5.Visibility for Instructors
AI's ubiquitous presence in society makes it more important than ever to ensure these technologies are built with fairness in mind so check out the link below!
https://t.co/phZgvJUBQy
#machinelearning#ai#algorithms#fairness#genderbias
Can #ArtificialIntelligence show gender bias? And if so how do we combat that for fairness in black box #algorithms?
Examples of #genderbias and general bias in algorithms are everywhere.
1. Bias mitigation through data restructuring and manipulation.
2. Bias mitigation through model training and parameter tuning.
3. Open Source AI tools to help fight gender discrimination in algorithmic training and prediction.
What is a #JointEmbeddingModel?
A model combining two forms of media .
In this case: A user’s network & their posts / bio.
Don’t let complexity stifle your curiosity, lean into the challenge!
Easily explore technical papers of all kinds on our website https://t.co/PvoIoyusT9
How can #ML & #AI help us better understand each other?
The answer might be in our #socialmedia posts!
Social media #data is a relatively untapped resource for understanding #lifestyle choices & new #research from @PurdueCS does just that for tweets related to #yoga & #ketodiet
This paper from suggests a joint #embedding#model incorporating users’ social (network) and textual information (tweets / bio) to build:
Contextualized User Representations
Though the model + method of this paper are quite complex the findings are understandable with visuals!
Explore this cutting edge research using the link below to learn more about how technology is being used to put an end to COVID-19!
https://t.co/h8Eeagq42l
Could we help end the #COVID19 pandemic sooner using the same technology that powers #cryptocurrencies like #Bitcoin ?
New findings from senior IEEE scientists show the efficacy of a #blockchain-based infection control system using 3 integrated subsystems of contact tracing.
This new method includes:
1. Traditional #ContactTracing
2. Public Places Access Control: Prevent infected individuals from visiting public spaces and spreading disease.
3. Recommendation System: Classify geographic areas to caution others to avoid high contamination zones.