Databricks serverless compute removes the need to manage clusters across notebooks, Lakeflow Jobs, and pipelines, handling infrastructure and runtime upgrades automatically. Over the past year, it has improved performance by 80% and cost efficiency by up to 70%, while delivering
COMPUTING
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Industrial Edge Computing Gets Smarter with AI
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The industrial edge is getting significantly smarter. This came up at a plant visit last week. @IIoT_World @CRudinschi @agentic_factory @IotoneHQ @Softnet_Search @SmartIndustryUS
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Reading data in place keeps production systems running smoothly
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Reading data in place means production systems keep running while analytics teams get the structured data they need.
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DataHub Intelligence: In-Place Data Integration Without Migration Risk
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Traditional data integration: rip out systems, migrate terabytes, pray nothing breaks.
— Lucian Fogoros (@fogoros) 11 avril 2026
DataHub Intelligence: read in place, contextualize on demand, deliver clean datasets.
Same result, zero migration risk. Partner content with @HighbyteInc. #highbyte_iiot pic.twitter.com/irPHcL5teWTraditional data integration: rip out systems, migrate terabytes, pray nothing breaks.
DataHub Intelligence: read in place, contextualize on demand, deliver clean datasets.
Same result, zero migration risk. Partner content with @HighbyteInc
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Symbolic Code Refactoring: Beyond Neural Networks
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code is code; it’s not a neural network, it’s symbolic but yet it does sound like it needs a refactoring.
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Meta Proposes Neural Computers: Unified Computation Memory I/O Architecture
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NEW paper from Meta What if the model wasn’t just using the computer… but actually became the computer? A new paper from Meta AI + KAUST makes a compelling case for Neural Computers (NCs) — a paradigm where computation, memory, and I/O are unified inside a single latent
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LLM Infrastructure Stuck in 1990s Like Linux
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And just like Linux, LLM infra will never get out of 90s.
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R Reference Card for Data Mining and Analytics
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R Reference Card for Data Mining! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/R-Ref-Card-DataMinin…
→ View original post on X — @gp_pulipaka, 2026-04-11 14:26 UTC
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Smartphones Process Locally While Cloud Handles Heavy Workloads
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Modern smartphones are powerful enough to handle many tasks locally, shifting more processing from the cloud to the device itself. The future is a hybrid model where everyday tasks run on-device while heavier workloads are handled in the cloud for scale. pic.twitter.com/KxZnTAthKV
— Satya Mallick (@LearnOpenCV) 11 avril 2026Modern smartphones are powerful enough to handle many tasks locally, shifting more processing from the cloud to the device itself. The future is a hybrid model where everyday tasks run on-device while heavier workloads are handled in the cloud for scale.
→ View original post on X — @learnopencv, 2026-04-11 13:32 UTC
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AI-RAN Enables Genuine Edge Intelligence in Networks
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AI-RAN unlocks true edge intelligence in networks
→ View original post on X — @haroldsinnott, 2026-04-11 12:16 UTC