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.
- Introducing the Google Universal Image Embedding Challengeby Google AI on August 4, 2022 at 5:47 pm
Posted by Bingyi Cao, Software Engineer, Google Research, and Mário Lipovský, Software Engineer, Google Lens Computer […]
- Building Efficient Multiple Visual Domain Models with Multi-path Neural Architecture Searchby Google AI on August 3, 2022 at 7:57 pm
Posted by Qifei Wang, Senior Software Engineer, and Feng Yang, Senior Staff Software Engineer, Google Research Deep […]
- Efficient Sequence Modeling for On-Device MLby Google AI on August 3, 2022 at 5:00 pm
Posted by Arun Kandoor, Software Engineer, Google Research The increasing demand for machine learning (ML) model […]
- New algorithm aces university math course questionsby Adam Zewe | MIT News Office on August 3, 2022 at 4:00 am
Researchers use machine learning to automatically solve, explain, and generate university-level math problems at a […]
- Why it’s a problem that pulse oximeters don’t work as well on patients of colorby Megan Lewis | Institute for Medical Engineering and Science on August 2, 2022 at 6:30 pm
New research ties inaccuracies in pulse oximeter readings to racial disparities in treatment and outcomes.
News
- Ten Mistakes to Avoid When Creating a Recommendation System « Machine Learning Times – The Machine Learning Timeson August 5, 2022 at 3:03 pm
Ten Mistakes to Avoid When Creating a Recommendation System « Machine Learning Times The Machine Learning Times
- Artificial Intelligence in Healthcare Market Size Was Valued at USD 7.9 Billion in 2021 and Will Achieve USD 201.3 Billion by 2030 growing at 43.4% CAGR – GlobeNewswireon August 5, 2022 at 3:01 pm
Artificial Intelligence in Healthcare Market Size Was Valued at USD 7.9 Billion in 2021 and Will Achieve USD 201.3 Billion by 2030 growing at 43.4% CAGR GlobeNewswire
- Machine learning vs data science: Differences, similarities, and future (2022) – Dataconomyon August 5, 2022 at 2:58 pm
Machine learning vs data science: Differences, similarities, and future (2022) Dataconomy
- Machine Learning Market 2022: In-Depth Research With Emerging Growth Trends, Driving Factors, Growth Rate and – openPRon August 5, 2022 at 2:46 pm
Machine Learning Market 2022: In-Depth Research With Emerging Growth Trends, Driving Factors, Growth Rate and openPR
- Q&A with Bhakta Rath Award Winners Jingfeng Jiang and Kevin Sunderland – Michigan Technological Universityon August 5, 2022 at 2:20 pm
Q&A with Bhakta Rath Award Winners Jingfeng Jiang and Kevin Sunderland Michigan Technological University
White Papers
Latest research and developments in the field of machine learning and deep learning. Sources: ARXIV, Papers with Code and others
- An Optimal Likelihood Free Method for Biological Model Selection. (arXiv:2208.02344v1 [q-bio.QM])
Systems biology seeks to create math models of biological systems to reduce inherent biological complexity and provide […]
- Adversarial Attacks on ASR Systems: An Overview. (arXiv:2208.02250v1 [cs.SD])
With the development of hardware and algorithms, ASR(Automatic Speech Recognition) systems evolve a lot. As The models […]
- Visually Evaluating Generative Adversarial Networks Using Itself under Multivariate Time Series. (arXiv:2208.02649v1 [cs.LG])
Visually evaluating the goodness of generated Multivariate Time Series (MTS) are difficult to implement, especially in […]
- Neural network accelerator for quantum control. (arXiv:2208.02645v1 [quant-ph])
Efficient quantum control is necessary for practical quantum computing implementations with current technologies. […]
- Unifying physical systems’ inductive biases in neural ODE using dynamics constraints. (arXiv:2208.02632v1 [cs.LG])
Conservation of energy is at the core of many physical phenomena and dynamical systems. There have been a significant […]