(This is a big part of what was called emergence in earlier academic work on unexpected LLM ability gains)
AI
-

3D Printing Revolution: Print Your Own Car Parts At Home
By
–
Fix Your Car at Home? Just Scan It and Print the Part
— Ronald van Loon (@Ronald_vanLoon) 14 avril 2026
by @ViralRushX#3Dprinted #Technology #Innovation #EmergingTech #TechForGood pic.twitter.com/N7FoCbTccsFix Your Car at Home? Just Scan It and Print the Part
by @ViralRushX #3Dprinted #Technology #Innovation #EmergingTech #TechForGood -
AI coding agents viable after model threshold crossed
By
–
It is going to be like what happened in coding: as soon as models crossed a certain threshold (Opus 4.5, GPT-5.2, Gemini 3), suddenly Claude Code & Codex were viable. Before that, it was all about coding assistance, afterwards it was all about agents from relatively small gains.
-

Accelerating PyTorch on GPU for Machine Learning and Data Science
By
–



Accelerating PyTorch on GPU! #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/Acclerate-PyTorch
→ View original post on X — @gp_pulipaka, 2026-04-14 03:42 UTC
-

Best Python Libraries to Speed Up Automation in 2026
By
–



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
-

Essential Mathematics for Data Science and Machine Learning
By
–



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
-

RiboGen: RNA Sequence and Structure Co-Generation Technology
By
–



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
-

FedSIN: Federated Self-Adaptive Learning for Information Networks
By
–
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
-

Anthropic’s Claude Mythos Enhances Cybersecurity for Tech Giants
By
–
AI just quietly took a MASSIVE step into cybersecurity. Anthropic’s new Project Glasswing uses its Claude Mythos Preview “superhacker” model to help big tech and critical infrastructure hunt bugs before attackers do – backed by $100M in AI credits and 40+ security partners.
-

Sakana AI co-founder meets Japan Defense Minister on AI future
By
–
Sakana AI co-founder Ren Ito visited Defense Minister Shinjiro Koizumi @shinjirokoiz
. Together with Councilor Yoshida, who serves as the head of the AI team directly under the Defense Minister, we discussed the future of AI and the defense sector. I was deeply impressed by