A great introduction to #causality applied to #AI research. How to accurately perform #causalinference, needs strong background knowledge, and the critical importance of collaboration with field scientists when performing causal inference. From @mlcmublog

This article exposes the need for a hybrid approach in #AI , like #Compositionalthinking that might help machines perform in the real world, while also making AI more interpretable and trustworthy. https://t.co/n4AfjysceH

Check this compelling article on how #creative teams have overcomes the challenge of how to keep long term #players engaged with new #content, from stat escalation to items rotation. By Javier Barnes https://t.co/4wqJq5igq0

Time spent in a life of a #DataScientist #DataScience #datasketch #ArtificialIntelligence #DataVisualization

ML researchers work with fixed benchmark datasets, and spend all of their time searching over the knobs they do control: architecture & optimization. In applied ML, you're likely to spend most of your time on data collection and annotation -- where your investment will pay off.

Great paper about the massive risk too often underestimate of #filterbubbles, of the risk of isolation and greater #division that may result from algorithms feeding us #information we agree with, based on our past #behaviour. By @dragz

A good set of examples to handle #trust of yours #users with their #data, and how to provide options that suit their comfort levels. By @jasoncott

#HappyNewYear to All ✨✨✨ Best wishes for the coming year! #outsourcing #gaming #AIRecommendation #learning

While reports shows us time spent on #mobile #games was up 62% due to lockdowns, research also shows a Liftoff of install-to-purchase rates from #gaming apps up to 2x (av. cost: $40.40). Nice talk on #personalisation specially for marketers by @peggyanne

Interesting insights about the issue of #Underspecification in #ML and #DeepLearning. Why good performances after the training process for models, are no guarantee of strong performances when tested with real-world #data. By @strwbilly

Great piece on the highly hot topic! How to create a coherent open world #game with a compelling story and strong #narrative. World that feel truly alive and responsive to the actions of #players. By @James_Batchelor with Chris Jenner from @UbiReflections

Why and how to not underestimate the value of player support services and the impact of satisfied and unsatisfied players, if you want to operate your game-as-a-service. By Marek Niszkiewicz from @KWS_PS

Check this paper, in which @DeconFun by analysing among other thing: strategic differentiation, valuation, and market dynamics, who between @supercell & @zynga is likely to succeed in the next 2, 5,10 (in 2050?) years. By @jokim1

Great talk with a detailed #analysis of the “saga-map” model. On how to build a system with a #gameplay that convinces #players to happily accept the state of being stuck. Your goal, a pleasant state of consistent progress. By @eldylanwoodbury

Powerful Talk about the illusion of choice in the #leveldesign more precisely the paradox of #choice, on how to not break #players #flow using vivid emotional poll or little brain shortcuts, thanks research in #biology and #psychology. By @EntropicDevhttp://ow.ly/mYhb30qoVUY

Why is it so important to give ourselves “permission to #play”? by @performbetter

How to hold player's attention? Sony uses #machinelearning to help players overcome in-game challenges by suggesting match between players with specific resources. The future of #Gaming is #personalization ! By @Chechosaurus

A great retrospective of #AI #Research in five different decades, through the lens of four representative AI papers from a AI researcher. Covering several disciplines (CS, #philosophy, #neuroscience,..), and multiple paradigms. A must read by @mpshanahan

#apple App Store has reached a new record for revenue earned within 24 hours, 2019 was the biggest year for services in Apple's history for #mobile #gaming. By @Forde999

Is the Black Box #Models in #AI is always the best option? Do you always have to choose between Interpretability & Accuracy? Check this great paper by @CynthiaRudin and @JoannaRadin