Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...
The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...
Today's energy industry is undergoing profound changes in response to the demands of climate change mitigation. To improve their operations, optimize resources, and enhance customer experiences, ...
The "Machine Learning and Deep Learning in the Quantum Era 2024: A Market Forecast and Technology Assessment" report has been added to ResearchAndMarkets.com's offering. Machine learning (ML) is one ...
At a time when data are doubling every two years, the U.S. is projected to create over 40 billion gigabytes of data by 2025. To prepare for the influx, Kennesaw State University associate professor ...
Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...
New research paper from Pennsylvania State University explores quantum machine learning (QML) and its use in hardware security. Find the technical paper here. April 2022. Satwik Kundu and Swaroop ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results