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.
- Bringing AI-driven protein-design tools to biologists everywhereby Zach Winn | MIT News on April 17, 2026 at 4:00 am
Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers […]
- Human-machine teaming dives underwaterby Ariana Gaines | Lincoln Laboratory on April 14, 2026 at 1:00 pm
Researchers are developing hardware and algorithms to improve collaboration between divers and autonomous underwater […]
- Q&A: MIT SHASS and the future of education in the age of AIby School of Humanities, Arts, and Social Sciences on April 14, 2026 at 1:00 pm
As the School of Humanities, Arts, and Social Sciences marks 75 years, Dean Agustín Rayo reflects on how AI is […]
- A philosophy of workby Benjamin Daniel | School of Humanities, Arts, and Social Sciences on April 9, 2026 at 6:00 pm
As the NC Ethics of Technology Postdoctoral Fellow, Michal Masny is advancing dialogue, teaching, and research into the […]
- New technique makes AI models leaner and faster while they’re still learningby Rachel Gordon | MIT CSAIL on April 9, 2026 at 1:00 pm
Researchers use control theory to shed unnecessary complexity from AI models during training, cutting compute costs […]
News
- The Engineer in the Machine: Neo Wants to Be a Kaggle Grandmaster in a Box – HackerNoonon April 17, 2026 at 4:30 am
The Engineer in the Machine: Neo Wants to Be a Kaggle Grandmaster in a Box HackerNoon
- LLNL Combines Machine Learning and 3D Printing for Shockwave Control Experiments – HPCwireon April 16, 2026 at 10:43 pm
LLNL Combines Machine Learning and 3D Printing for Shockwave Control Experiments HPCwire
- Advancing molecular imaging with deep-learning technology – GE HealthCareon April 16, 2026 at 9:21 pm
Advancing molecular imaging with deep-learning technology GE HealthCare
- Computer Science Student Accepted into Break Through Tech’s AI Program – Colorado Collegeon April 16, 2026 at 8:56 pm
Computer Science Student Accepted into Break Through Tech’s AI Program Colorado College
- Quantum ML: Temporal Power With Spiking Networks – Quantum Zeitgeiston April 16, 2026 at 6:29 pm
Quantum ML: Temporal Power With Spiking Networks Quantum Zeitgeist
White Papers
Latest research and developments in the field of machine learning and deep learning. Sources: ARXIV, Papers with Code and others
- Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models
arXiv:2601.21003v2 Announce Type: replace Abstract: Large Language Models usually put more emphasis on accuracy and […]
- Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates
arXiv:2512.04844v2 Announce Type: replace-cross Abstract: Expanding the linguistic diversity of instruct large […]
- Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs
arXiv:2604.13979v1 Announce Type: cross Abstract: Open-world Question Answering (OW-QA) over knowledge graphs (KGs) […]
- The Non-Optimality of Scientific Knowledge: Path Dependence, Lock-In, and The Local Minimum Trap
arXiv:2604.11828v2 Announce Type: replace Abstract: Science is widely regarded as humanity’s most reliable method for […]
- From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space
arXiv:2604.14142v1 Announce Type: cross Abstract: While reinforcement learning with verifiable rewards (RLVR) […]