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@CirrusLink
’s MQTT tools turn OT data into a unified, real-time foundation.
The result? A factory brain built for AI. https://
buff.ly/qtiGgQG Join them at IIoT World AI Frontiers 2025! https://
buff.ly/qtJ0XHj #sponsored #cirrus_iiot #IIoTWorldDay #AI #SmartFactory
SYSTEMS
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CirrusLink MQTT Tools Transform Factory Operations with AI
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MoE Training: Theory vs GPU Reality – Optimization Challenges
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MoE 101 – Episode 4: Theoretical: 60% fewer FLOPs. Reality: 7x slow down
— Cerebras (@cerebras) 4 septembre 2025
You followed all the tips from our last video. Your MoE model finally trains…
Then you try to scale it on GPUs…and… memory issues ❌, underused experts ❌, unpredictable compute bottlenecks ❌.
From… pic.twitter.com/b812dujd6SMoE 101 – Episode 4: Theoretical: 60% fewer FLOPs. Reality: 7x slow down You followed all the tips from our last video. Your MoE model finally trains… Then you try to scale it on GPUs…and… memory issues , underused experts , unpredictable compute bottlenecks . From
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31M+ Edge Devices Connected Cloud Milestone Achievement
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31M+ embedded edge devices connected to the cloud. That’s the milestone @aicas_IoT hit under the leadership of Johannes Biermann, President & COO. Don’t miss his insights at IIoT World AI Frontiers 2025! https://
buff.ly/Mc98qRB #sponsored #aicas_iiot #IIoTWorldDay -
Internet Computers Achievement Milestone Celebrated Today
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A g'day for internet computers – congrats!
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Snorkel’s Optimized Infrastructure Panel at AI Infra Summit
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Snorkel’s Daniel Xu → “Optimized Infrastructure” panel, Sept 11, 1:50–2:30 PM. TY @awscloud + Amazon SageMaker for hosting; joined by Walgreens Boots Alliance, @datadoghq
, Lablup Inc. #AIInfraSummit -
Memory Requirements for Micro-Controller Language Model Processing
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RQ3: Can the memory requirements of a "micro"-controller be met by Joy? In order to process 99% of tokens, keeping up with the GPUs (in and out), it'll require using all cores — so the memory overhead for the language needs to be minimal. Bonus would be mostly static memory
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Connectware Unifies Factory Floor and IT Systems
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Still stuck with disconnected systems?
Connectware unifies your factory floor and IT in one platform.
12 weeks. One solution. https://
buff.ly/CUNiGAN For more insights, join Cybus at AI Frontiers 2025. https://
buff.ly/MDDoMx0 #sponsored #Cybus_iiot #IIoTWorldDay #Manufacturing -
India Manufactures AI: Building Self-Reliant Ecosystem Infrastructure
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"India doesn’t just consume AI—we manufacture it, from supercomputers to cooling systems, building the backbone of a self-reliant AI ecosystem." ~ Shri Sanjay Lodha, CEO, @netwebtech
, at the panel discussion titled "AI-Made, AI-Powered: The Symbiosis of Intelligence and Silicon"; -
Diverse State Transitions and Manipulation Skills in Robotics
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(7/N) 🧩Feature #4: Diverse State Transitions and Manipulation Skills
— Fei-Fei Li (@drfeifei) 2 septembre 2025
• Spatial: next_to, inside, on_top, under, touching
• Particles: covered, uncovered
• Thermal: hot, cooked, on_fire, frozen
• Others: open, closed, on, off, attached, sliced, diced pic.twitter.com/AS8KBroBxZ(7/N) Feature #4: Diverse State Transitions and Manipulation Skills
• Spatial: next_to, inside, on_top, under, touching
• Particles: covered, uncovered
• Thermal: hot, cooked, on_fire, frozen
• Others: open, closed, on, off, attached, sliced, diced -
Long-Horizon Mobile Manipulation in Realistic Home Environments
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(6/N) 🏠Feature #3: Long-Horizon Mobile Manipulation in Realistic Homes
— Fei-Fei Li (@drfeifei) 2 septembre 2025
• Task durations range from 1 to 25 minutes (average 6.6 minutes)
• Performed in household-scale scenes
• Requires memory, planning, and reasoning over a long period of time pic.twitter.com/LD2ObgdsxT(6/N) Feature #3: Long-Horizon Mobile Manipulation in Realistic Homes
• Task durations range from 1 to 25 minutes (average 6.6 minutes)
• Performed in household-scale scenes
• Requires memory, planning, and reasoning over a long period of time