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...
A new research collaboration led by Mitsubishi investigates the possibility of extracting three separate soundtracks from an original audio source, breaking down the audio track into...
Researchers in China and the United States recently explored how an attention-based deep neural network (ABNN) could help improve sonar systems. The research was published in...
Researchers from MIT and the Qatar Center for Artificial Intelligence have developed a machine learning system that analyzes high-resolution satellite imagery, GPS coordinates and historical crash...
A new paper from Google Research indicates that the current trend towards the curation of very high-volume datasets may be counterproductive to developing effective artificial intelligence...
Researchers from Ireland, the UK and the US have warned that the growth in hyperscale AI training datasets threaten to propagate the worst aspects of their...
A new study from the University of Maryland and Facebook AI has found a ‘significant performance penalty’ for deep learning systems that use highly compressed JPEG...
Researchers from China have developed a method to copyright-protect image datasets used for computer vision training, by effectively ‘watermarking’ the images in the data, and then...
Researchers from Poland and Japan, working with Sony, have found evidence that machine learning systems trained on GPUs rather than CPUs may contain fewer errors during...
Researchers from South Korea have used machine learning techniques to develop an ‘invisible’ keyboard for space-constrained mobile devices that allows users to type 157.5% faster, even...
Google Research has proposed a new method to improve the efficiency and accuracy of image-based computer vision training workflows by improving the way that the images...
Researchers in the UK have developed a machine learning biometric system capable of identifying individuals from the shape of their hands. The intent of the work...
Removing a particular piece of data that contributed to a machine learning model is like trying to remove the second spoonful of sugar from a cup...
Computer scientists from the Netherlands and Spain have determined how a deep learning system learns better when distracted. The artificial intelligence (AI) is aimed at image...
