With #5G satellite networks, AI becomes our universal translator, turning data into decisions, connecting Earth to the cosmos. Welcome to the future of #IoT and #FutureOfWork.
DATA
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SimPer: Self-Supervised Contrastive Learning for Periodic Data
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SimPer is a self-supervised contrastive framework for learning periodic information in data, while improving data efficiency and generalization to distribution shifts. Check it out and copy the code → https://t.co/P7eEpf1AKq pic.twitter.com/40G18nzKeu
— Google AI (@GoogleAI) 18 juillet 2023SimPer is a self-supervised contrastive framework for learning periodic information in data, while improving data efficiency and generalization to distribution shifts. Check it out and copy the code → https://
goo.gle/3XZcFWC -
30 MLOps Requirements: Abacus AI Simplifies Machine Learning
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Building Machine Learning Systems is hard. Here are 30 requirements for an MLOps environment. At @abacusai
, we worry about this for you. You bring the data; we do the rest. (Source: "Requirements and Reference Architecture for MLOps: Insights from Industry") -
IIoT Sensors and Cloud Transform Industrial Maintenance Operations
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Embracing the power of #IIoT sensors and #cloud technology is the key to efficient data-driven maintenance. Read the article to learn how these innovations are transforming the industrial landscape http://
ow.ly/FOAO50Otw8Q #sponsored #sie_ai #DigitalTransformation #IoT @MHiesboeck -
Apache Spark Databricks Data Processing Technology Update
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Sparks Fly (Taylor’s Version)? More like #ApacheSpark(s) Fly (Databricks Version)
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AI clones from user data present uncanny technological risks
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AI clones made from user data pose uncanny risks
#AI #AIio #BigData #ML #NLU #Futureofwork @gp_pulipaka @stratorob @PetiotEric @EvanKirstel @Fgraillot @HaroldSinnott @HeinzVHoenen @helene_wpli http://
ow.ly/3X2i30sw8BO -
Meta Databricks Partner on Llama 2 Open Source LLM
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We're excited to partner with Meta on the new #opensource state-of the-art LLM, Llama 2 With new models including 7B, 13B and 70B, Llama 2 accelerates LLM research work & empowers enterprises to build their own #generativeAI applications. Learn more: https://
dbricks.co/3rAyxLV -
Scale AI releases enterprise custom LLM building with Data Engine
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@scale_ai is releasing the easiest way for enterprises to build custom LLMs using Scale's Data Engine. The biggest challenge for fine-tuning is data—diverse prompt-response datasets are Scale's specialty Build your own domain-specific model
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Google’s Machine Unlearning: Removing Data from AI Models
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Super interesting work from Google on machine *un*learning. How do you remove data (& its influence) from a model at reasonable cost, without impacting the model's accuracy? It's a growing ask given LLMs' need to remove copyrighted data, private data, etc https://
ai.googleblog.com/2023/06/announ
cing-first-machine-unlearning.html?m=1
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Gold Sponsor at Big Data Expo Utrecht September 2026
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Yes! We're Gold sponsors at @Big_Data_Expo
, Utrecht, September 12+13. Define your needs with experts See new #DataDriven tech Race in the @McLarenF1 simulator to win merch! Meet partners @infolabNL + @Infotopics Register (English/Dutch): https://
ow.ly/QKzr50Per6e