AAAI @RealAAAI
Founded in 1979, AAAI is an international, nonprofit, scientific society devoted to promote research in, and responsible use of Artificial Intelligence. aaai.org Palo Alto, CA Joined February 2017-
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AI-ALOE: AI for reskilling, upskilling, and workforce development by Ashok Goel, Chris Dede, Myk Garn, Chaohua Ou provides an overview of the National AI Research Institute for Adult Learning and Online Education (AI-ALOE) ➡️ bit.ly/3TzBFC0
It is sometimes difficult to evaluate progress in Generative AI, i.e. image generation and large language models. Learn more in the video abstract: Generative AI: An AI Paradigm Shift in the Making? by Risto Miikkulainen ➡️ bit.ly/3PL3c25
AI4OPT focuses on optimization models and solvers, essential for decision-making in various industries. Learn more in the video abstract: AI4OPT: AI Institute for Advances in Optimization by Pascal Van Hentenryck and Kevin Dalmeijer ➡️ bit.ly/43I8h12
The National Science Foundation (NSF) Artificial Intelligence (AI) Institute for Edge Computing Leveraging Next Generation Networks (Athena) seeks to foment a transformation in modern edge computing by advancing AI foundations, computing paradigms, networked computing systems,…
This video abstract highlights the overall endeavors of the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE) to create a research, education, knowledge transfer, and workforce development environment for developing technological leadership in…
Current AI systems still fail to match the flexibility, robustness, and generalizability of human intelligence. Learn more in the video abstract: Physical Scene Understanding by Jiajun Wu ➡️ bit.ly/3PL99vZ
Most recently, @ringwald_c introduced his work on natural language processing and knowledge graphs, specifically extraction of targeted information from texts. aihub.org/2024/02/20/int…
Next, we chatted to Fiona Anting Tan about researching causal relations in text. Her work focusses on three parts: extraction, representation, and application. aihub.org/2024/02/01/int…
Our third interviewee was @eondula, who talked about her work applying reinforcement learning in different domains, notably to develop and evaluate public health policies and decisions in epidemic scenarios. aihub.org/2024/02/13/int…
How to speak to the public about AI – a Michael Wooldridge talk at #AAAI2024 today ift.tt/K2mODUj
#AAAI2024 invited talk: Milind Tambe – using ML for social good ift.tt/41ybsDh
Our February digest features: - @RealAAAI doctoral consortium participants Fiona Anting Tan, @eondula, and @ringwald_c - DataLike: a new project highlighting women in AI and data from @bisnotforbella and @m_daneeeee - LLMs in Five Formulas from @srush_nlp aihub.org/2024/02/29/aih…
#AAAI2024 workshops round-up 1: Cooperative multi-agent systems decision-making and learning ift.tt/bAHkcth
Our round-up of the @RealAAAI #AAAI2024 workshops continues with summaries from @AleksanderMolak on "Are large language models simply causal parrots?" and @biplav_s on "AI for credible elections".
Our round-up of the @RealAAAI #AAAI2024 workshops continues with summaries from @AleksanderMolak on "Are large language models simply causal parrots?" and @biplav_s on "AI for credible elections".
We hear from @RealAAAI doctoral consortium participant @AaquibTabrez about his work at the intersection of explainability and human-robot interaction aihub.org/2024/03/14/int…
#AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering ift.tt/6encKBR
Article 3 in our round-up of the @RealAAAI #AAAI2024 workshops features summaries from @deshwal_aryan on "AI to accelerate science and engineering" and @spdimitris and @aaqib_saeed on "Human-centric representation learning" aihub.org/2024/03/18/aaa…
In the latest interview in our @RealAAAI doctoral consortium series, we met with Raffaele Galliera and found out about his research on deep reinforcement learning for communication networks aihub.org/2024/03/20/int…
Interview with Francesca Rossi – talking sustainable development goals, AI regulation, and AI ethics ift.tt/aZ5JgVm
Subbarao Kambhampati .. @rao2z
16K Followers 29 Following AI researcher & teacher @SCAI_ASU. Works on Human-Aware AI. Former President of @RealAAAI; Chair of @AAAS Sec T. Here to tweach #AI. YouTube Ch: https://t.co/4beUPOmMW6
Kyunghyun Cho @kchonyc
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Thomas G. Dietterich @tdietterich
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Csaba Szepesvari @CsabaSzepesvari
8K Followers 704 Following "If there is not folly in the world, then the world itself is folly. You must understand that mistakes are not always regrets." - Paul Tobin, Bandette🤠
Prof. Anima Anandkuma.. @AnimaAnandkumar
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Natasha Jaques @natashajaques
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Toby Walsh @TobyWalsh
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Pasquale Minervini �.. @PMinervini
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Xin Eric Wang @xwang_lk
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Michael Wooldridge @wooldridgemike
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Zoubin Ghahramani @ZoubinGhahrama1
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antonio vergari 💥 .. @tetraduzione
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Sameer Singh @sameer_
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Nando Fioretto @nandofioretto
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Ahmad Beirami @abeirami
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Yisong Yue @yisongyue
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Euro AI Consulting @euaiconsulting
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Lorenzo Bini @LorenzoBini47
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Data Drip @DataDrip369
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اليمن أغلي @kuhlani
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fikoulli makan @fikoulli45320
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anonymous @randomizerr42
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alan as a swe @asasoftware
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⭐≛⃝SHAHJAHAN AL.. @Shahjah45697197
125 Followers 2K Following مونکي ڪوئي غرض ناهي تون ڪير آهين،؟تنھنجو مذهب ڇا آهي،؟ تنھنجو نسل ڇا آهي،؟ تنھنجو عقيدو ڇا آهي،؟ جيڪڏھن تون منهنجي عزت ڪندين ته، آئون ضرور تنهنجو احترام ڪندم۔
Sneha Paul @putul_sneha
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Marina Fuster @FusterMfuster
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Subbarao Kambhampati .. @rao2z
16K Followers 29 Following AI researcher & teacher @SCAI_ASU. Works on Human-Aware AI. Former President of @RealAAAI; Chair of @AAAS Sec T. Here to tweach #AI. YouTube Ch: https://t.co/4beUPOmMW6
Thomas G. Dietterich @tdietterich
50K Followers 505 Following Distinguished Professor (Emeritus), Oregon State Univ.; Former President, Assoc. for the Adv. of Artificial Intelligence; Robust AI & Comput. Sustainability
Toby Walsh @TobyWalsh
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LatinX in AI (LXAI) @_LXAI
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Universities want to hear from computing and software industry pros via the NSF-backed and ABET, ACM, CSAB, and IEEE CS endorsed CRA Practitioner-to-Professor (P2P) Survey. Complete the survey today and be entered to win a $100 gift card! crasurvey.co1.qualtrics.com/jfe/form/SV_bf…
Next, we chatted to Fiona Anting Tan about researching causal relations in text. Her work focusses on three parts: extraction, representation, and application. aihub.org/2024/02/01/int…
Most recently, @ringwald_c introduced his work on natural language processing and knowledge graphs, specifically extraction of targeted information from texts. aihub.org/2024/02/20/int…
Our third interviewee was @eondula, who talked about her work applying reinforcement learning in different domains, notably to develop and evaluate public health policies and decisions in epidemic scenarios. aihub.org/2024/02/13/int…
How to speak to the public about AI – a Michael Wooldridge talk at #AAAI2024 today ift.tt/K2mODUj
Congratulations to the #AAAI2024 award winners ift.tt/rFjheao
#AAAI2024 invited talk: Milind Tambe – using ML for social good ift.tt/41ybsDh
Our February digest features: - @RealAAAI doctoral consortium participants Fiona Anting Tan, @eondula, and @ringwald_c - DataLike: a new project highlighting women in AI and data from @bisnotforbella and @m_daneeeee - LLMs in Five Formulas from @srush_nlp aihub.org/2024/02/29/aih…
Thank you for a nice summary of my #AAAI2024 invited talk.
#AAAI2024 invited talk: Milind Tambe – using ML for social good ift.tt/41ybsDh
#AAAI2024 workshops round-up 1: Cooperative multi-agent systems decision-making and learning ift.tt/bAHkcth
Our round-up of the @RealAAAI #AAAI2024 workshops continues with summaries from @AleksanderMolak on "Are large language models simply causal parrots?" and @biplav_s on "AI for credible elections".
#AAAI2024 workshops round-up 2: AI for credible elections, and are large language models simply causal parrots? ift.tt/tE0DYmU
We hear from @RealAAAI doctoral consortium participant @AaquibTabrez about his work at the intersection of explainability and human-robot interaction aihub.org/2024/03/14/int…
#AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering ift.tt/6encKBR
Article 3 in our round-up of the @RealAAAI #AAAI2024 workshops features summaries from @deshwal_aryan on "AI to accelerate science and engineering" and @spdimitris and @aaqib_saeed on "Human-centric representation learning" aihub.org/2024/03/18/aaa…
In the latest interview in our @RealAAAI doctoral consortium series, we met with Raffaele Galliera and found out about his research on deep reinforcement learning for communication networks aihub.org/2024/03/20/int…
AAAI's 2024 proceedings are now published! ➡️ These are the largest proceedings in AAAI's history, consisting of 21 issues containing 2,872 articles spanning a total of 23,861 pages. All issues are accessible from: bit.ly/43Qcy2J
We met with @BarrakAmine, PhD student and @RealAAAI doctoral consortium participant, to find out more about his work on speeding up machine learning by using serverless computing aihub.org/2024/03/26/int…
Interview with Francesca Rossi – talking sustainable development goals, AI regulation, and AI ethics ift.tt/aZ5JgVm
Congrats, @biplav_s and team!
The award for 2024 Best Technical Demonstration at the annual conference goes to: Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava and Michael N. Huhns for Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning. Congrats!
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