Catch up with the fast moving field of data science. Even for us it has been difficult to stay up to date with the latest news and developments in the industry. We are putting together some of the top sources such as MIT, NVIDIA, ARXIV and others. These articles are aggregated from well trusted sources in the community. We will continue to add more sources and refine the type of articles showcased here over time.
Data Science
The recent developments in the field of data science and AI. Sources: Explosion.ai, Rasa, fast.ai, MIT, Berkley, Uber, IBM and Google AI Blog and other trusted sources.
- The cost of thinkingby Jennifer Michalowski | McGovern Institute for Brain Research on November 19, 2025 at 9:45 pm
MIT neuroscientists find a surprising parallel in the ways humans and new AI models solve complex problems.
- New AI agent learns to use CAD to create 3D objects from sketchesby Jennifer Chu | MIT News on November 19, 2025 at 5:00 am
The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.
- MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscapeby Leda Zimmerman | MIT Energy Initiative on November 18, 2025 at 5:10 pm
Industry leaders agree collaboration is key to advancing critical technologies.
- Building AI with AIby Ines Montani on November 15, 2025 at 12:00 am
AI-powered coding assistants have transformed the way we build software, and AI itself. In this talk, Ines shows why we […]
- Understanding the nuances of human-like intelligenceby Adam Zewe | MIT News on November 11, 2025 at 5:00 am
Associate Professor Phillip Isola studies the ways in which intelligent machines “think,” in an effort to safely […]
News
- Professor Jeffrey Hinton of the University of Toronto is called a pioneer in deep learning. He recei.. – 매일경제on November 21, 2025 at 7:48 am
Professor Jeffrey Hinton of the University of Toronto is called a pioneer in deep learning. He recei.. 매일경제
- Who Takes the Blame When AI Gets It Wrong? – Medscapeon November 21, 2025 at 6:01 am
Who Takes the Blame When AI Gets It Wrong? Medscape
- Machine-learning molecular simulations show role of atomic-scale roughness in hydrophilicity – AIP.ORGon November 21, 2025 at 5:09 am
Machine-learning molecular simulations show role of atomic-scale roughness in hydrophilicity AIP.ORG
- How Open Source Is Augmenting Quantum Machine Learning – Open Source For Youon November 21, 2025 at 4:30 am
How Open Source Is Augmenting Quantum Machine Learning Open Source For You
- Machine Learning for Cavitation Intensity Recognition: a Review of 2002-2025 Research and Future Guidance – Quantum Zeitgeiston November 21, 2025 at 2:22 am
Machine Learning for Cavitation Intensity Recognition: a Review of 2002-2025 Research and Future Guidance Quantum Zeitgeist
White Papers
Latest research and developments in the field of machine learning and deep learning. Sources: ARXIV, Papers with Code and others
- Extending Test-Time Scaling: A 3D Perspective with Context, Batch, and Turn
arXiv:2511.15738v1 Announce Type: new Abstract: Reasoning reinforcement learning (RL) has recently revealed a new […]
- VeriThoughts: Enabling Automated Verilog Code Generation using Reasoning and Formal Verification
arXiv:2505.20302v3 Announce Type: replace-cross Abstract: This paper introduces VeriThoughts, a novel dataset designed […]
- Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models
arXiv:2511.05171v2 Announce Type: replace-cross Abstract: Foundation models capable of generalizing across species and […]
- Knowledge-Grounded Agentic Large Language Models for Multi-Hazard Understanding from Reconnaissance Reports
arXiv:2511.14010v2 Announce Type: replace-cross Abstract: Post-disaster reconnaissance reports contain critical […]
- MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models
arXiv:2509.23725v2 Announce Type: replace Abstract: Answering complex medical questions requires not only domain […]