Salesforce Inc. is attempting to tackle the growing challenge of artificial intelligence “agent sprawl” through the latest ...

Abstract: In recent years, neural network models have been widely used in many tasks, however, tampering operations from malicious attackers, e.g., backdoor attacks and parameter malicious tampering, ...

The MarketWatch News Department was not involved in the creation of this content. Los Angeles, CA, Jan. 12, 2026 (GLOBE NEWSWIRE) -- Warp announced the launch of the Warp Network Visualizer, a browser ...

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...

As a result, the on-chip learning-based neuromorphic system achieved up to 20,000 times faster processing speed while maintaining similar interpretation accuracy to existing conventional techniques.

Abstract: This study investigates the application of Spiking Neural Network (SNN) in seismic signal denoising by developing a Convolutional Neural Network (CNN) to SNN conversion framework. We focus ...

Faculty of Chemistry, Institute of Computational Biological Chemistry, University of Vienna, Wien 1090, Austria Vienna Doctoral School of Chemistry (DosChem), University of Vienna, Wien 1090, Austria ...

3D rendering—the process of converting three-dimensional models into two-dimensional images—is a foundational technology in computer graphics, widely used across gaming, film, virtual reality, and ...

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