A new study from Google Research and UC Berkeley adds to longstanding criticism regarding the computer vision (CV) research sector’s reliance on the venerable ImageNet dataset,...
A group of biomedical engineers at Johns Hopkins has developed an artificial intelligence (AI) training strategy to gain a deeper understanding of the brains of mice....
Though techno-thriller The Circle (2017) is more a comment on the ethical implications of social networks than the practicalities of external video analytics, the improbably tiny...
Researchers at the Japan Advanced Institute of Science and Technology have integrated biological signals with machine learning methods to enable “emotionally intelligent” AI. Emotional intelligence could...
Researchers at the Gwangju Institute of Science and Technology in Korea have developed a new deep learning model that can predict the binding between a drug...
Researchers at the University of California – Irvine have created a hybrid human-machine framework that they say is key to building smarter artificial intelligence (AI) systems....
A group of researchers from Germany is exploring a new human speech recognition model based on machine learning and deep neural networks. The new model could...
If your good friend Alice likes to wear yellow sweaters, you’re going to be seeing a lot more yellow sweaters than the average person. After a...
History suggests that eventually the ‘open’ age of computer vision research, where reproducibility and favorable peer review are central to the development of a new initiative,...
A team of researchers led by Zhiyi Yu of Sun Yat-sen University has developed a new hand gesture recognition algorithm that is complex, accurate, and applicable. ...
A math professor from American University, along with his team of collaborators, developed a statistical model that can detect misinformation in social media posts. Machine learning...
Researchers from MIT Computer Science & Artificial Intelligence Laboratory (CSAIL) have experimented with using random noise images in computer vision datasets to train computer vision models...
A new approach to machine learning developed by a team of researchers at the University of Cambridge could accelerate the search for new disease treatments. The...
While our current computers usually perform pre-programmed actions, this stands in contrast to our brains, which are highly adaptive. Our adaptability is heavily reliant on synaptic...
Researchers at the University of Waterloo have developed a deep learning network that can detect disease biomarkers with a high degree of accuracy. It achieves 98...
