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.
- At MIT, a continued commitment to understanding intelligenceby Rachel Kemper | MIT Quest for Intelligence on January 14, 2026 at 9:50 pm
With support from the Siegel Family Endowment, the newly renamed MIT Siegel Family Quest for Intelligence investigates […]
- Generative AI tool helps 3D print personal items that sustain daily useby Alex Shipps | MIT CSAIL on January 14, 2026 at 9:00 pm
“MechStyle” allows users to personalize 3D models, while ensuring they’re physically viable after fabrication, […]
- RiCoRecA: rich cooking recipe annotation schemaby Explosion on January 12, 2026 at 12:00 am
The annotation process consists of two sections. Firstly, the annotator utilized a customized Prodigy interface to […]
- 3 Questions: How AI could optimize the power gridby Adam Zewe | MIT News on January 9, 2026 at 5:00 am
While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more […]
- Decoding the Arctic to predict winter weatherby Stephanie Martinovich | Department of Civil and Environmental Engineering on January 8, 2026 at 9:55 pm
With the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of […]
News
- Zest AI Highlights Human-Centered Approach to Machine Learning in Lending Workflows – TipRankson January 15, 2026 at 6:42 pm
Zest AI Highlights Human-Centered Approach to Machine Learning in Lending Workflows TipRanks
- University of Idaho to Study PTSD With Machine Learning – GovTechon January 15, 2026 at 5:51 pm
University of Idaho to Study PTSD With Machine Learning GovTech
- Fatigue-Based Learning in Memristor-Enhanced Spiking Neural Networks – BIOENGINEER.ORGon January 15, 2026 at 5:36 pm
Fatigue-Based Learning in Memristor-Enhanced Spiking Neural Networks BIOENGINEER.ORG
- Keysight Technologies, Inc. Unveils Machine Learning Toolkit to Accelerate Device Modeling and PDK Development – marketscreener.comon January 15, 2026 at 5:20 pm
Keysight Technologies, Inc. Unveils Machine Learning Toolkit to Accelerate Device Modeling and PDK Development marketscreener.com
- Predict APT Campaigns: E-HiDNet Enables Stage-Aware Threat Detection with Deep Learning – Quantum Zeitgeiston January 15, 2026 at 4:46 pm
Predict APT Campaigns: E-HiDNet Enables Stage-Aware Threat Detection with Deep Learning Quantum Zeitgeist
White Papers
Latest research and developments in the field of machine learning and deep learning. Sources: ARXIV, Papers with Code and others
- DeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword Extraction
arXiv:2509.14507v2 Announce Type: replace Abstract: Natural Language to SQL (NL2SQL) provides a new model-centric […]
- Using Subgraph GNNs for Node Classification:an Overlooked Potential Approach
arXiv:2503.06614v2 Announce Type: replace-cross Abstract: Previous studies have demonstrated the strong performance of […]
- Aligning by Misaligning: Boundary-aware Curriculum Learning for Multimodal Alignment
arXiv:2511.08399v2 Announce Type: replace-cross Abstract: Most multimodal models treat every negative pair alike, […]
- Moral Lenses, Political Coordinates: Towards Ideological Positioning of Morally Conditioned LLMs
arXiv:2601.08634v1 Announce Type: cross Abstract: While recent research has systematically documented political […]
- An Algebraic Representation Theorem for Linear GENEOs in Geometric Machine Learning
arXiv:2601.03910v2 Announce Type: replace-cross Abstract: Geometric and Topological Deep Learning are rapidly growing […]