Global AI News Aggregator
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Gargantuan Star Explosions Unveil Evidence of a Cosmic Gap! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Gargantuan-Star geni.us/Gargantuan-Explosion
→ View original post on X — @gp_pulipaka, 2026-04-14 04:00 UTC
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Best Python Libraries to Speed Up Automation in 2026! analyticsinme #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Python-Automation geni.us/Polars-Cheat-Sh geni.us/PyDantic-Ch geni.us/Python-Language geni.us/RAG-Cheatsheet
→ View original post on X — @gp_pulipaka, 2026-04-14 03:42 UTC
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Essential #Mathematics for Data Science! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/Essential-MathDSci
→ View original post on X — @gp_pulipaka, 2026-04-14 03:42 UTC
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RiboGen: RNA Sequence and Structure Co-Generation! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Mathematics #Programming #Coding #100DaysofCode #Genetics Media Lab. (n.d.). RiboGen: RNA sequence and structure co-generation. MIT Media Lab. Retrieved March 10, 2025, from media.mit.edu/projects/ribog… Nori, D., & Jin, W. (2024, May 1). RNAFlow: RNA structure & sequence co-design via inverse folding-based flow matching. In Proceedings of the GEM Workshop at ICLR 2024. Retrieved March 10, 2025, from openreview.net/pdf/31fa59255… Rubin, D., dos Santos Costa, A., Ponnapati, M., & Jacobson, J. (2025, March 5). RiboGen: RNA sequence and structure co-generation with equivariant MultiFlow. arXiv preprint arXiv:2503.02058v1. Retrieved March 10, 2025, from arxiv.org/html/2503.02058v1 Zhao, Q., Zhao, Z., Fan, X., & Yao, Y. (2020, August 15). RNA primary, secondary, and tertiary structures [Figure]. In Review of machine-learning methods for RNA secondary structure prediction. ResearchGate. Retrieved March 10, 2025, from researchgate.net/figure/RNA-…
→ View original post on X — @gp_pulipaka, 2026-04-14 03:42 UTC
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FedSIN: Information Network Representation via Federated Self-Adaptive Learning! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/FedSIN-Learning
→ View original post on X — @gp_pulipaka, 2026-04-14 03:42 UTC
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At @Shriram_GI, every claim is more than data, it is a moment that demands clarity and speed.
— SAS Software (@SASsoftware) 14 avril 2026
But manual reporting created delays when it mattered most.
With SAS Viya, that changed. Claims that once took months are now settled in days, with significantly reduced manual… pic.twitter.com/3WaFMRVKQ9
At @Shriram_GI
, every claim is more than data, it is a moment that demands clarity and speed. But manual reporting created delays when it mattered most. With SAS Viya, that changed. Claims that once took months are now settled in days, with significantly reduced manual
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Rubrics have become widely accepted for evaluating agents and models, but how are we evaluating the rubrics themselves? In a new paper we’ll be presenting at the Data-FM workshop at @iclr_conf
, we introduce RIFT: a taxonomy of 8 rubric failure modes across: ➜ reliability
➜
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Making Data and AI @Lovable.
— Databricks (@databricks) 13 avril 2026
Lovable now integrates with Databricks, providing a natural language interface that allows anyone—regardless of technical skills—to build live data apps can read and write data stored in Databricks.
Bridge the gap between complex data engineering… pic.twitter.com/GA1iYjMutQ
Making Data and AI @Lovable
. Lovable now integrates with Databricks, providing a natural language interface that allows anyone—regardless of technical skills—to build live data apps can read and write data stored in Databricks. Bridge the gap between complex data engineering
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Change management success hinges on this translation layer. Complex data becomes useful only when it connects to what skilled teams already understand about their processes.
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Everyone wants sexy AI demos. Almost nobody wants to do the dull engineering (Retrieval, evals, memory, governance, etc.) that makes them work. That’s the real enterprise AI gap. (My @InfoWorld column: https://
infoworld.com/article/415750
6/ai-has-to-be-dull-before-it-can-be-sexy.html
…)