lpdanh

590 posts

lpdanh

lpdanh

@lpdanh

I'm building a knowledge-centric platform to enable pervasive intelligence among connected vehicles, robotics, ITSs, IoT/IoT, human perception and reasoning

Berlin Katılım Haziran 2008
346 Takip Edilen146 Takipçiler
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lpdanh
lpdanh@lpdanh·
It's a great honor to be the technical coordinator of the Horizon Europe project @SmartEdge_EU with 15 partners who are the leading experts in IoT, AI, networking, Robotics, autonomous driving/V2X and low-code, super excited what to come in the next three years !!! @HorizonEU
SmartEdge (@[email protected])@SmartEdge_EU

It's a wrap! Thanks to all the SmartEdge partners who just completed a very successful kick-off meeting in #Pisa 🇮🇹 and are now ready to take the next steps @HorizonEU #H2020 smart-edge.eu

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HiPEAC
HiPEAC@hipeac·
#HiPEAC25 workshop: STEADINESS 📣 Call for presentations 👉 smart-edge.eu/2024/10/08/cal… ⏳ Deadline: 31 October Are you involved in system engineering domains are welcome such as system modelling, validation and verification, coupling of safety-security-performance at system level, human-machine Interaction, networking and security, etc.? Be part of the #TechNexusProgramme and help respond to urgent challenges, such as bridging the gap between design models and software frameworks while also making systems environmentally sustainable with smart use of green energy. @danhlephuoc and Spyros Lalis are waiting for your presentation proposals – this is your chance to form part of a dynamic community driving foward safety-critical, complex systems. In collaboration with @SmartEdge_EU and @mlsysops
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HiPEAC
HiPEAC@hipeac·
💡@EU_Commission CONNECT University session: Next Computing Paradigm - HiPEAC Vision 2024 📷 14:30-16:00 Join Marc Duranton @CEA_List and @kdbosche for the inaugural presentation of the HiPEAC Vision 2024 More information 👉 bit.ly/HiPEAC_Vision_…
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Thomas Kipf
Thomas Kipf@tkipf·
Couldn't agree more: we still don't have good solutions for scalable abstraction/concept learning from "raw" data (be it language, vision, or other sensory data). Solving this would likely unlock important new capabilities.
⿻ Andrew Trask@iamtrask

For anyone interested in future LLM development One of the bigger unsolved deep learning problems: learning of hierarchical structure Example: we still use tokenizers to train SOTA LLMs. We should be able to feed in bits/chars/bytes and get SOTA Related: larger context window

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IoTLabFER
IoTLabFER@IoTLabFER·
🌟 AIoTwin update🌟 @TUBerlin organized a successful workshop on Knowledge Graphs, AI models and Edge computing! Read more about it here: #news_154970" target="_blank" rel="nofollow noopener">aiotwin.eu/aiotwin/news?@…
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