At CEATEC 2025 in Japan, TDK Corporation presented a prototype that may impact how artificial intelligence learns and reacts in real time.
A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at University of Zurich and ETH Zurich.
The electronics design industry is changing quite a bit, driven mainly by the proliferation of sensors and demand to generate and gather more information. That’s leading to having more sensors, and ...
Schematic of the reverse analog for constructing triplet samples. Credit: Boundary-Layer Meteorology (2023). DOI: 10.1007/s10546-022-00779-6 Machine learning technology that can recognize human faces ...
WILMINGTON, Mass. & LOWELL, Mass.--(BUSINESS WIRE)--UMass Lowell, Analog Devices, Inc. (Nasdaq: ADI), and the Analog Devices Foundation have teamed up to create an Analog Devices RF/Microwave Learning ...
A new technical paper titled “APOSTLE: Asynchronously Parallel Optimization for Sizing Analog Transistors Using DNN Learning” was published by researchers at UT Austin and Analog Devices. “Analog ...
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