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Revolutionizing Finance: FEI's Online Artificial Intelligence in Finance and Accounting Conference, April 9 and 10

Financial Executives International (FEI), the association of choice for finance leaders, today announced the agenda for the AI in Finance and Accounting Conference. The event will be hosted virtually on April 9 and 10,

Nano-X Imaging (NNOX) Presents AI Bone Health Data at Top Conferences

We recently published a list of Top 8 AI News Updates Investors Should Not Miss. In this article, we are going to take a look at where Nano-X Imaging Ltd. (NASDAQ:NNOX) stands against other top AI news updates investors should not miss.

AI hardware 4month
DDN Named Winner of 2025 Artificial Intelligence Excellence Award for Pioneering AI Innovation

DDN, the global leader in AI and data intelligence solutions, has been recognized as a winner of the 2025 Artificial Intelligence Excellence Awards by the Business Intelligence Group for Infinia 2.0—a software data platform that delivers global AI data unification in data centers and multi-clouds.

Fujitsu advances AI in radio access networks for real-time video analytics

The integration of AI into radio access networks enables applications such as predicting criminal behavior and detecting falls among vulnerable individuals.

JFrog advances AI security with Hugging Face partnership, Nvidia NIM and new MLOps platform

Leading the list of announcements is a new partnership with Hugging Face Inc., the world's largest repository of open-source machine learning models. Under the partnership, JFrog will provide advanced security scanning across all models hosted on the Hugging Face Hub, with a "JFrog Certified" badge highlighting models that pass verification.

Cybersecurity 5month
From automation to analysis, AI-driven innovations are making synchrotron science faster, smarter, more efficient

The National Synchrotron Light Source II (NSLS-II)—a U.S. Department of Energy (DOE) Office of Science user facility at DOE's Brookhaven National Laboratory—is among the world's most advanced synchrotron light sources,

Deep learning model boosts plasma predictions in nuclear fusion by 1,000 times

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning-based approach that significantly accelerates the computation of a nonlinear Fokker-Planck-Landau (FPL) collision operator for fusion plasma.

Deep Learning 5month
Deep Learning Model Amplifies Plasma Predictions 1,000x

Abstract The nonlinear collision operator consumes a significant amount of computation time in tokamak whole-volume modeling, and in current numerical

Deep Learning 5month