AI Technology & Industry Review
A research team from CMU, Oxford and Facebook AI proposes a vision-language model that, when trained on a source language, can be applied to different languages without additional annotated training data.
A bold Carnegie Mellon University (CMU) team recently explored the prospect of using AI to review AI papers.
Researchers from Stanford University, UC Berkeley and CMU review neuromechanical simulations and DRL, with a focus on modelling the control of human locomotion.
A team of researchers from CMU and Technion recently introduced a new system, Penrose, that can turn complex mathematical notations into various styles of simple diagrams.
XTREME, a multi-task benchmark that evaluates cross-lingual generalization capabilities of multilingual representations across 40 languages and nine tasks.
In a new study, researchers use a physics simulator to learn to predict physical forces in videos of humans interacting with objects.
Researchers from Carnegie Mellon University and Google Brain have now proposed an unsupervised data augmentation (UDA) technique that significantly improves semi-supervised learning (SSL) by conducting data augmentation on unlabeled data.
Carnegie Mellon University researchers have made another leap in the field with their Joint Language-to-Pose (JL2P) model, which generate animations from text input via a joint multimodal space comprising language and poses.
New research from Carnegie Mellon University, Peking University and the Massachusetts Institute of Technology shows that global minima of deep neural networks can been achieved via gradient descent under certain conditions. The paper Gradient Descent Finds Global Minima of Deep Neural Networks was published November 12 on arXiv.
Petuum and Carnegie Mellon University (CMU) researchers have introduced Texar, an open-source general purpose text generation toolkit that can help boost R&D in fast model prototyping and experimentation.
Google Cloud announced today that Carnegie Mellon University School of Computer Science Dean Dr. Andrew Moore will join Google Cloud to lead its AI efforts at the end of this year. The company also announced that its Chief AI Scientist Dr. Fei-Fei Li will return to Stanford University this fall.
The 2018 Conference on Computer Vision and Pattern Recognition (CVPR) opened today in Salt Lake City, USA. The CVPR organizing committee used the occasion to announce its coveted Best Paper and Best Student Paper selections.
Thousands in the machine learning community say they will boycott Nature’s paywalled Machine Intelligence Journal, which is set for a January 2019 release.
On April 17th, researchers from Carnegie Mellon University and Petuum, a Pittsburgh-based CMU spinoff focused on artificial intelligence platforms jointly published On “Unifying Deep Generative Models”.
Mobvoi hired Dr. Mei-Yuh Hwang as its Vice President of Engineering in 2016. A respected speech recognition researcher and former Principle NLP Scientist Manager at Microsoft, Dr. Hwang is a pioneer in voice recognition and machine translation.
PITTSBURGH, PA – October 10, 2017 – Petuum, Inc., a machine learning (ML) infrastructure platform, has closed $93 million in Series B fundingContinue Reading