Please login to be able to save your searches and receive alerts for new content matching your search criteria.
Generative ML models present a novel opportunity for a wider group of societal members to engage with AI, imagine new use cases, and applications with an increasing ability to disseminate the outcomes of such endeavors to larger audiences. However, ...
Recent advances in generative AI have resulted in a rapid and dramatic increase in the fidelity of created artifacts, from realistic-looking images of faces [10] to antimicrobial peptide sequences that treat diseases [5] to faked videos of prominent ...
Advances in ML have revolutionized its effectiveness for a variety of applications. Indeed, in areas like image classification and NLP, ML (AI) has changed the rules of the game and opened the door to incredible advances. Design processes seem to match ...
This article reviews four commonly used computational methods of corpus analysis (i.e., verbal data analysis, corpus linguistics, programming, and sentiment analysis). Focusing on the types of datasets, skills, and tools, we explain the features of each ...
Clustering is an essential task of the whole pattern recognition process, and it can serve under several roles, for instance in terms of data pre-processing tool for better (i.e., more accurate) pattern recognition analysis and mining. In this vest, a ...
In this work, we present a method for generating sound-tracings using a mixture density recurrent neural network (MDRNN). A sound-tracing is a rendering of perceptual qualities of short sound objects through body motion. The model is trained on a ...
Artificial Intelligence (AI) and Machine Learning (ML) approaches, well known from IT disciplines, are beginning to excite the networking and networked systems community. Of late, we are seeing a huge excitement about applying AI and ML to networked ...
This panel discusses trends and prospects for using AI tools in the VFX pipeline. Panel experts will talk about the current AI tools that work in the industry, give answers to questions and their vision of their technology development.
In this special discussion session on machine learning, the panel members discuss various issues related to building secure and low power neuromorphic systems. The security of neuromorphic systems may be discussed in term of the reliability of the model,...
There is sustained and growing interest in human-robot teaming across academia and industry. Many critical questions still remain as to how to foster flexible, effective, teaming that allow humans and robots to work closely together. This panel will ...
Computer vision is a rapidly evolving discipline. It includes methods for acquiring, processing, and understanding still images and video to model, replicate, and sometimes, exceed human vision and perform useful tasks.
Computer vision will be commonly ...
The Emotion Recognition In The Wild Challenge and Workshop (EmotiW) 2013 Grand Challenge consists of an audio-video based emotion classification challenge, which mimics real-world conditions. In total, 27 teams participated in the challenge. The ...
Data compilation methods, whether generated by remotely deployed sensors collecting physically observable measurements or collaborative communications, such as blogs and online survey forms, are amassing extremely large repositories of information. ...
The quantity of data produced by weather sensors, simulations and operational numerical models continues to grow rapidly. In fact, in many areas of atmospheric science, the amount of data has overwhelmed the ability of humans to analyze, understand and ...
This is the summary of the panel All Things Mobile: The Present and Future of Mobile Phone Computing.
This panel will enable the participants to understand key concepts, state-of-the-art techniques, and open issues in content analysis and understanding that make use of non-conventional methods. As such we will cover aspects such as (1) eye gaze for ...