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.
- A more effective experimental design for engineering a cell into a new stateby Adam Zewe | MIT News on October 2, 2023 at 3:00 pm
By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new […]
- Is AI in the eye of the beholder?by Adam Zewe | MIT News on October 2, 2023 at 3:00 pm
Study shows users can be primed to believe certain things about an AI chatbot’s motives, which influences their […]
- Google at ICCV 2023by Google AI on October 2, 2023 at 7:51 am
Posted by Shaina Mehta, Program Manager, Google Google is proud to be a Platinum Sponsor of the International […]
- Who will benefit from AI?by Peter Dizikes | MIT News on September 29, 2023 at 3:00 pm
In campus talk, Daron Acemoglu offers vision of “machine usefulness,” rather than autonomous “intelligence,” to […]
- DynIBaR: Space-time view synthesis from videos of dynamic scenesby Google AI on September 28, 2023 at 8:01 pm
Posted by Zhengqi Li and Noah Snavely, Research Scientists, Google Research A mobile phone’s camera is a […]
News
- Wayve Releases GAIA-1 Technical Report to Advance World … – Business Wireon October 3, 2023 at 7:00 am
Wayve Releases GAIA-1 Technical Report to Advance World … Business Wire
- Machine Learning Chip Market Size 2023 Global Growth with … – Benzingaon October 3, 2023 at 6:59 am
Machine Learning Chip Market Size 2023 Global Growth with … Benzinga
- Israeli startup CEOs explain how they aim to make AI better, cheaper and faster – The Times of Israelon October 3, 2023 at 6:45 am
Israeli startup CEOs explain how they aim to make AI better, cheaper and faster The Times of Israel
- Conservation meets machine learning – Australian Geographic – Australian Geographicon October 3, 2023 at 6:14 am
Conservation meets machine learning – Australian Geographic Australian Geographic
- Predictive Analytics and Machine Learning Market 2023 Analysis … – Benzingaon October 3, 2023 at 5:58 am
Predictive Analytics and Machine Learning Market 2023 Analysis … Benzinga
White Papers
Latest research and developments in the field of machine learning and deep learning. Sources: ARXIV, Papers with Code and others
- Unlabeled Out-Of-Domain Data Improves Generalization. (arXiv:2310.00027v1 [stat.ML])
We propose a novel framework for incorporating unlabeled data into semi-supervised classification problems, where […]
- Unified Uncertainty Calibration. (arXiv:2310.01202v1 [stat.ML])
To build robust, fair, and safe AI systems, we would like our classifiers to say “I don’t know” when facing test […]
- Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. (arXiv:2310.00927v1 [cs.LG])
Multi-modal learning has become increasingly popular due to its ability to leverage information from different data […]
- SWoTTeD: An Extension of Tensor Decomposition to Temporal Phenotyping. (arXiv:2310.01201v1 [cs.LG])
Tensor decomposition has recently been gaining attention in the machine learning community for the analysis of […]
- A path-norm toolkit for modern networks: consequences, promises and challenges. (arXiv:2310.01225v1 [stat.ML])
This work introduces the first toolkit around path-norms that is fully able to encompass general DAG ReLU networks with […]