Work with thought leaders and academic experts in Artificial Intelligence
Companies can benefit from working with experts in Artificial Intelligence in various ways. These researchers can help develop and implement AI solutions to improve efficiency, automate processes, and enhance decision-making. They can also assist in data analysis and predictive modeling to identify patterns and trends. Additionally, AI researchers can provide insights and recommendations for optimizing business strategies and customer experiences. By collaborating with these experts, companies can gain a competitive edge, drive innovation, and achieve their business goals.
Researchers on NotedSource with backgrounds in Artificial Intelligence include Dr. Pantaleon Fassbender, ENG. BRYAN ASEGA, Artem Timoshenko, Ph.D., Dr. Antonio Pagliaro, Ph.D., Ping Luo, Tyler Streeter, Dr. Andrew Raij, Ph.D., Dr. Vartenie Aramali, Ph.D., Keiran Thompson, Christos Makridis, Dr. Wolfgang Messner, Nicolangelo Iannella, IQRAM HUSSAIN, Ph.D., and Matthew Deuschle.
Dr. Pantaleon Fassbender
Highly experienced global leadership and corporate health management advisor
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Other Research Expertise (7)
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Most Relevant Publications (1+)
6 total publications
Application of artificial intelligence: risk perception and trust in the work context with different impact levels and task types
AI & SOCIETY / Jun 02, 2023
Klein, U., Depping, J., Wohlfahrt, L., & Fassbender, P. (2023). Application of artificial intelligence: risk perception and trust in the work context with different impact levels and task types. AI & SOCIETY. https://doi.org/10.1007/s00146-023-01699-w
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Ping Luo
Bioinformatics Specialist at Princess Margaret Cancer Centre with experience in deep learning
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Other Research Expertise (21)
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Most Relevant Publications (1+)
23 total publications
CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization
Neurocomputing / Jan 01, 2018
Tian, L.-P., Luo, P., Wang, H., Zheng, H., & Wu, F.-X. (2018). CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization. Neurocomputing, 275, 2031–2040. https://doi.org/10.1016/j.neucom.2017.10.039
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Dr. Andrew Raij, Ph.D.
Principal Research Scientist and Lab Director | VR, AR, MR, XR, Spatial Computing, Immersive Technologies
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Other Research Expertise (13)
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Most Relevant Publications (1+)
54 total publications
A Large-Scale Study of Surrogate Physicality and Gesturing on Human–Surrogate Interactions in a Public Space
Frontiers in Robotics and AI / Jul 07, 2017
Kim, K., Nagendran, A., Bailenson, J. N., Raij, A., Bruder, G., Lee, M., Schubert, R., Yan, X., & Welch, G. F. (2017). A Large-Scale Study of Surrogate Physicality and Gesturing on Human–Surrogate Interactions in a Public Space. Frontiers in Robotics and AI, 4. https://doi.org/10.3389/frobt.2017.00032
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Dr. Wolfgang Messner
Professor in International Business with expertise in Data Analytics and Machine Learning
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Other Research Expertise (14)
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65 total publications
Improving the cross-cultural functioning of deep artificial neural networks through machine enculturation
International Journal of Information Management Data Insights / Nov 01, 2022
Messner, W. (2022). Improving the cross-cultural functioning of deep artificial neural networks through machine enculturation. International Journal of Information Management Data Insights, 2(2), 100118. https://doi.org/10.1016/j.jjimei.2022.100118
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Nicolangelo Iannella
Senior Research fellow, The University of Oslo, Faculty of Mathematics and Natural Sciences
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Other Research Expertise (18)
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Most Relevant Publications (2+)
47 total publications
A spiking neural network architecture for nonlinear function approximation
Neural Networks / Jul 01, 2001
Iannella, N., & Back, A. D. (2001). A spiking neural network architecture for nonlinear function approximation. Neural Networks, 14(6–7), 933–939. https://doi.org/10.1016/s0893-6080(01)00080-6
A neuromorphic VLSI design for spike timing and rate based synaptic plasticity
Neural Networks / Sep 01, 2013
Rahimi Azghadi, M., Al-Sarawi, S., Abbott, D., & Iannella, N. (2013). A neuromorphic VLSI design for spike timing and rate based synaptic plasticity. Neural Networks, 45, 70–82. https://doi.org/10.1016/j.neunet.2013.03.003
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IQRAM HUSSAIN, Ph.D.
Weill Cornell Medicine, Cornell University, NY, USA
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Other Research Expertise (32)
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Most Relevant Publications (1+)
43 total publications
Tracking Trajectory Planning of Space Manipulator for Capturing Operation
International Journal of Advanced Robotic Systems / Sep 01, 2006
Huang, P., Xu, Y., & Liang, B. (2006). Tracking Trajectory Planning of Space Manipulator for Capturing Operation. International Journal of Advanced Robotic Systems, 3(3), 31. https://doi.org/10.5772/5735
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Example Artificial Intelligence projects
How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Artificial Intelligence?
AI-powered Customer Service Chatbot
An AI researcher can develop a chatbot that uses natural language processing and machine learning algorithms to provide personalized customer support. This chatbot can handle customer inquiries, resolve issues, and even make product recommendations, improving customer satisfaction and reducing the workload of customer service teams.
Automated Fraud Detection System
By collaborating with an AI researcher, companies can build an automated fraud detection system that analyzes large volumes of data in real-time. This system can identify suspicious patterns and anomalies, flagging potential fraudulent activities and minimizing financial losses.
Predictive Maintenance for Manufacturing
An AI expert can develop predictive maintenance models that leverage machine learning algorithms to analyze sensor data from manufacturing equipment. By predicting equipment failures in advance, companies can schedule maintenance activities, reduce downtime, and optimize production efficiency.
AI-powered Marketing Campaign Optimization
Working with an AI researcher, companies can optimize their marketing campaigns using AI techniques. These researchers can analyze customer data, segment audiences, and recommend personalized content and targeting strategies to maximize campaign effectiveness and ROI.
AI-driven Supply Chain Optimization
Collaborating with an AI expert can help companies optimize their supply chain operations. These researchers can develop AI models to analyze historical data, predict demand, optimize inventory levels, and streamline logistics, leading to cost savings and improved operational efficiency.