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.
- Toward video generative models of the molecular worldby Alex Shipps | MIT CSAIL on January 23, 2025 at 3:00 pm
Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, […]
- The multifaceted challenge of powering AIby Nancy W. Stauffer | MIT Energy Initiative on January 21, 2025 at 9:00 pm
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the […]
- Explained: Generative AI’s environmental impactby Adam Zewe | MIT News on January 17, 2025 at 5:00 am
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including […]
- Algorithms and AI for a better worldby Michaela Jarvis | MIT Laboratory for Information and Decision Systems on January 16, 2025 at 7:50 pm
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
- Making the art world more accessibleby Zach Winn | MIT News on January 16, 2025 at 5:00 am
The startup NALA, which began as an MIT class project, directly matches art buyers with artists.
News
- Exploring the intersection of AI and climate physics: Machine learning’s role in advancing climate science – Phys.orgon January 23, 2025 at 5:03 pm
Exploring the intersection of AI and climate physics: Machine learning’s role in advancing climate science Phys.org
- How Ruby On Rails Is Used In Machine Learning – Geek Vibes Nationon January 23, 2025 at 4:51 pm
How Ruby On Rails Is Used In Machine Learning Geek Vibes Nation
- Seoultech researchers use machine learning to ensure safe structural design – EurekAlerton January 23, 2025 at 3:32 pm
Seoultech researchers use machine learning to ensure safe structural design EurekAlert
- How AI and Machine Learning Will Influence Fintech Frontend Development in 2025 – Benzingaon January 23, 2025 at 3:19 pm
How AI and Machine Learning Will Influence Fintech Frontend Development in 2025 Benzinga
- Strong as steel, light as foam: Machine learning and nano-3D printing produce breakthrough high-performance, nano-architected materials – U of T Engineering Newson January 23, 2025 at 3:10 pm
Strong as steel, light as foam: Machine learning and nano-3D printing produce breakthrough high-performance, nano-architected materials U of T Engineering News
White Papers
Latest research and developments in the field of machine learning and deep learning. Sources: ARXIV, Papers with Code and others
- /wangzhiyaoo/ SVFR: A Unified Framework for Generalized Video Face Restoration
In this paper, we propose a novel approach for the Generalized Video Face Restoration (GVFR) task, which integrates […]
- /icip-cas/ PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
Automatically generating presentations from documents is a challenging task that requires balancing content quality, […]
- /sunnynexus/ Search-o1: Agentic Search-Enhanced Large Reasoning Models
To address this limitation, we introduce \textbf{Search-o1}, a framework that enhances LRMs with an agentic […]
- /om-ai-lab/ OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
Recent advancements in Large Language Models (LLMs) have expanded their capabilities to multimodal contexts, including […]
- /automl/ TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
We present TabPFN, a trained Transformer that can do supervised classification for small tabular datasets in less than […]