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.
Researchers at the Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory have created a new, AI-powered system for designing more durable microstructured ...
Revolutionizing fragrance design using deep neural networks (DNNs) scent profiles from chemical data
Scientific research explores the potential of DNNs in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor descriptor data from 94 ...
Anyone exploring technological advances in artificial intelligence (AI) will inevitably encounter spiking neural networks (SNNs) — the next step toward energy‑efficient real‑time AI. The difference ...
A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered materials that can manipulate light and other forms of electromagnetic ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...
DNN Attack Surfaces Authors, Creators & Presenters: Myungsuk Moon (Yonsei University), Minhee Kim (Yonsei University), Joonkyo Jung (Yonsei University), Dokyung Song (Yonsei University) PAPER ASGARD: ...
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