Researchers have explored the potential of deep neural networks (DNNs) in transforming fragrance design. By analyzing the sensing data of 180 essential oils, the DNN was trained using the odor ...

New technical paper titled “EVE: Environmental Adaptive Neural Network Models for Low-Power Energy Harvesting System” was published by researchers at UT San Antonio, University of Connecticut, and ...

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 ...

A technical paper titled “Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection” was presented at the August 2024 USENIX Security Symposium by ...

Many Lifelong-DNN models recognition rates are well above 90%. As with many ML systems, Neurala will initially target image recognition. However, the technology can be applied to a range of data.

Artificial intelligence (AI) based on deep neural network (DNN) architecture has been widely used in image recognition and has large potential in autonomous driving, according to Digitimes Research.

3. Focus on models that generate predictable results. In addition to keeping the outputs within a safe range, we also want to know that the models don’t produce results that wildly swing from ...

Like Google’s Meena and initially with GPT-2, at first Turing NLG may only be shared in private demos.. Language generation models with the Transformer architecture predict the word that comes ...