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Forwarded from Not Boring Tech
🦺 В Meta AI на днях решили одну из главных проблем в современном строительстве зданий. Исследователи разработали нейросеть, которая придумала формулу для создания более экономически выгодного и крепкого бетона.
Это самый популярный строительный материал в мире, но его производство очень вредит атмосфере (на него приходится до 8% всех выбросов углекислого газа). Алгоритм обучили на 1000 формулах о прочности материалов и получили новые формулы, как и из чего можно сделать самый лучший бетон. Теперь их будут проверять, и если они докажут свою эффективность — в будущем будут строить дома из бетона, придуманного искусственным интеллектом!
#AI | Not Boring Tech
Это самый популярный строительный материал в мире, но его производство очень вредит атмосфере (на него приходится до 8% всех выбросов углекислого газа). Алгоритм обучили на 1000 формулах о прочности материалов и получили новые формулы, как и из чего можно сделать самый лучший бетон. Теперь их будут проверять, и если они докажут свою эффективность — в будущем будут строить дома из бетона, придуманного искусственным интеллектом!
#AI | Not Boring Tech
#learning_to_rank #news_search_engine #ltr #solr #rankSVM #lambdaMART #ndcg #system_design #information_retrival #production #team #bloomberg
https://www.youtube.com/watch?v=eMuepJpjUjI&ab_channel=Lucidworks
https://www.youtube.com/watch?v=eMuepJpjUjI&ab_channel=Lucidworks
YouTube
Learning to Rank: From Theory to Production - Malvina Josephidou & Diego Ceccarelli, Bloomberg
Presented at Activate 2018
Slides: https://www.slideshare.net/lucidworks/learning-to-rank-from-theory-to-production-malvina-josephidou-diego-ceccarelli-bloomberg
Learning to Rank is awesome. Even more awesome is the fact that Apache Solr/Lucene is the first…
Slides: https://www.slideshare.net/lucidworks/learning-to-rank-from-theory-to-production-malvina-josephidou-diego-ceccarelli-bloomberg
Learning to Rank is awesome. Even more awesome is the fact that Apache Solr/Lucene is the first…
#contextual_embeddings #visualization #visualization_conference
https://www.youtube.com/watch?v=H9E7IeivX-Y&ab_channel=IEEEVisualizationConference
https://www.youtube.com/watch?v=H9E7IeivX-Y&ab_channel=IEEEVisualizationConference
YouTube
Visually Analyzing Contextualized Embeddings
Authors: Matthew Berger
VIS website: http://ieeevis.org/year/2020/welcome
In this paper we introduce a method for visually analyzing contextualized embeddings produced by deep neural network-based language models. Our approach is inspired by linguistic probes…
VIS website: http://ieeevis.org/year/2020/welcome
In this paper we introduce a method for visually analyzing contextualized embeddings produced by deep neural network-based language models. Our approach is inspired by linguistic probes…
#Contextual_Embeddings #ner #metrics #coNLL #stanford #team #glove #BERT
https://www.youtube.com/watch?v=bCPeg0Tp64s&ab_channel=HazyResearch
https://www.youtube.com/watch?v=bCPeg0Tp64s&ab_channel=HazyResearch
YouTube
Contextual Embeddings: When are they worth it? (ACL 2020)
Contextual embeddings have revolutionized NLP, but are highly computationally expensive. In this work we focus on the question of when contextual embeddings are worth their cost, versus when it is possible to use more efficient word representations without…
#TaBERT #bert #facebook #team #ml #dl #tabular #data #nlp #cmu #team
https://syncedreview.com/2020/07/14/facebook-cmu-introduce-tabert-for-understanding-tabular-data-queries/
https://syncedreview.com/2020/07/14/facebook-cmu-introduce-tabert-for-understanding-tabular-data-queries/
Synced | AI Technology & Industry Review
Facebook & CMU Introduce TaBERT for Understanding Tabular Data Queries | Synced
TaBERT-powered neural semantic parsers showed performance improvements on the challenging benchmark WikiTableQuestions.
#openlaw #smart_contracts #github #javascript #solidity #scala
https://medium.com/@OpenLawOfficial/legal-legos-reusable-clauses-for-digital-legal-agreements-bddb20e00457
https://medium.com/@OpenLawOfficial/legal-legos-reusable-clauses-for-digital-legal-agreements-bddb20e00457
Medium
Legal Legos: Reusable Clauses for Digital, Legal Agreements
With OpenLaw, you can issue purely digital, legal-enforceable assets with no coding necessary. Our latest collection of contractual…
#smic #TSMC #N7 #N5 #intel #apple #nikon #huawei #ASML
https://www.youtube.com/watch?v=dQGnwKBxAKk&ab_channel=Asianometry
https://www.youtube.com/watch?v=dQGnwKBxAKk&ab_channel=Asianometry
YouTube
China's 7nm Chips: SMIC N+2
In this brief video, I want to say a few thoughts about SMIC's N+2 node - the 7 nanometer leap forward.
Links:
- The Asianometry Newsletter: https://asianometry.com
- Patreon: https://www.patreon.com/Asianometry
- The Podcast: https://anchor.fm/asianometry…
Links:
- The Asianometry Newsletter: https://asianometry.com
- Patreon: https://www.patreon.com/Asianometry
- The Podcast: https://anchor.fm/asianometry…
#ips #stem_cells #nature #team #Induced_pluripotent_stem_cells #Yamanaka
https://www.nature.com/articles/d41586-022-02232-7
https://www.nature.com/articles/534310a
https://www.nature.com/articles/d41586-022-02232-7
https://www.nature.com/articles/534310a
Nature
Pioneering stem-cell trials in Japan report promising early results
Nature - The country has invested hundreds of millions of dollars into research on induced pluripotent stem cells to treat diseased organs.
#fusion #vc #venture_capital #investment #google #team #chevron #team #nuclear_fusion
https://www.cnbc.com/2022/07/19/google-chevron-invest-in-fusion-startup-tae-technologies.html
https://www.youtube.com/watch?v=oUknjLH4HEo&ab_channel=TheWhiteHouse
https://www.cnbc.com/2022/07/19/google-chevron-invest-in-fusion-startup-tae-technologies.html
https://www.youtube.com/watch?v=oUknjLH4HEo&ab_channel=TheWhiteHouse
CNBC
Google and Chevron invest in nuclear fusion startup that's raised $1.2 billion
Google, Chevron and a Japanese investment company have invested in TAE Technologies, a nuclear fusion startup, which has raised $1.2 billion so far.
#offline_rl #rl #drl #workflow #cql
A Workflow for Offline Model-Free Robotic
Reinforcement Learning
, Sergey Levine
1 UC Berkeley, 2 Stanford University (∗ Equal Contribution)
aviralk@berkeley.edu, asap7772@berkeley.edu
https://www.youtube.com/watch?v=h9R5LJX9b1I&ab_channel=ConferenceonRobotLearning
https://arxiv.org/abs/2109.10813
A Workflow for Offline Model-Free Robotic
Reinforcement Learning
, Sergey Levine
1 UC Berkeley, 2 Stanford University (∗ Equal Contribution)
aviralk@berkeley.edu, asap7772@berkeley.edu
https://www.youtube.com/watch?v=h9R5LJX9b1I&ab_channel=ConferenceonRobotLearning
https://arxiv.org/abs/2109.10813
https://www.youtube.com/watch?v=LbYrCpPo8k0&ab_channel=StanfordHAI
#reinforcement_learning #abtest #rct #stanford #team #mab #cost #experiement
#game_industry #history
https://www.youtube.com/watch?v=HbzO88fy_lI&ab_channel=stupidmadworld
https://neptune.ai/blog/data-lineage-in-machine-learning
#reinforcement_learning #abtest #rct #stanford #team #mab #cost #experiement
#game_industry #history
https://www.youtube.com/watch?v=HbzO88fy_lI&ab_channel=stupidmadworld
https://neptune.ai/blog/data-lineage-in-machine-learning
YouTube
Mohsen Bayati: The Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandits
The stochastic multi-armed bandit (MAB) is a benchmark model for decision-making under uncertainty. MABs are used in a wide range of applications, from Internet advertising to healthcare. Now, new research has suggested that algorithms for MAB problems that…