Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
With most computer programs—even complex ones—you can meticulously trace through the code and memory usage to figure out why that program generates any specific behavior or output. That’s generally ...
A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
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'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...
Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into transferable principles, enabling boundless creation.
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.
A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution of neural network models. According ...
NDSS 2025 – Defending Against Membership Inference Attacks On Iteratively Pruned Deep Neural Network
Membership Inference Authors, Creators & Presenters: Jing Shang (Beijing Jiaotong University), Jian Wang (Beijing Jiaotong ...
FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...
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