science is when it works but shouldn’t, engineering is when it doesn’t work but should
INNOVATION
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Tech Giants and EVs: Investment Insights from Industry Leaders
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The TL Podcast for February 20th: Arista and Cisco satisfy, pondering EVs’ time frames https://
thetechnologyletter.com/the-posts/the-
tl-podcast-for-february-20th-arista-and-cisco-satisfy-pondering-evs-time-frames
… $TSLA $ANET $CSCO $ADI $AMAT $UPST $PLTR #investing #stocks #auotomotive #EVs #networking #tech #semiconductors #Tesla -

MIT researchers deploy AI for earthquake relief in Turkey Syria
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New MIT Tech Review article on how @Ritwik_G and collaborators @berkeley_ai @DIU_x @Microsoft are currently deploying AI for earthquake relief efforts in Turkey and Syria.
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DataRobot Model Selection Using Evaluation Metrics
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We recently went live on LinkedIn with DataRobot Senior Data Scientist, Taylor Larkin, who led a discussion on selecting DataRobot models based on user-specified evaluation metrics. Check it out if you missed it! #aiaccelerators https://
linkedin.com/feed/update/ur
n:li:activity:7029491637332381697
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OpenAI Partners with Bain Consulting for Enterprise AI Solutions
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Announcing our partnership with Bain, with Coca-Cola Company as the first mutual client: https://
bain.com/vector-digital
/partnerships-alliance-ecosystem/openai-alliance/
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Combinatorial Optimization and RL Shape Future Game Design
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Overall, cool paper about a funny application of combinatorial optimization. Jokes aside, RL and optimization are probably the future of game design. At least for puzzle games. 🙂
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Genetic Algorithm for Puzzle Solving with Diversity Selection
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Next, solving puzzles. The authors used a custom GA: 1/ Initialization using the previous algorithm 2/ Crossover/Mutation with a uniform crossover operation 3/ Find feasible solutions and "heal" broken ones 4/ Selection with a diversity criterion
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Multi-Island Genetic Algorithm for Diversity Maintenance
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Maintaining diversity is a big focus, so they implemented a "multi-island" GA. → Each population is divided into several sub-populations called "islands" → Applies GA separately on each sub-population, periodically migrating individuals between them
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Multi-Island Genetic Algorithms Outperform Standard Approaches
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Here are the final results. The multi-island outperforms the standard GA while maintaining higher diversity. There are a lot of useful tips and tricks about GAs in this paper. GAs deserve more love.
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Graph Node Selection Algorithm With Constraint-Based Synergy Optimization
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Proposed solution: 1/ Defining a random traversal order for graph nodes 2/ Filtering the list of candidates according to constraint requirements 3/ Selecting an item that maximizes the synergy of partially filled neighboring candidates.