Beyond supervised learning for pervasive healthcare
The integration of machine/deep learning and sensing technologies is transforming
healthcare and medical practice. However, inherent limitations in healthcare data, namely …
healthcare and medical practice. However, inherent limitations in healthcare data, namely …
A collective AI via lifelong learning and sharing at the edge
A Soltoggio, E Ben-Iwhiwhu, V Braverman… - Nature Machine …, 2024 - nature.com
One vision of a future artificial intelligence (AI) is where many separate units can learn
independently over a lifetime and share their knowledge with each other. The synergy …
independently over a lifetime and share their knowledge with each other. The synergy …
Yolo-former: Marrying yolo and transformer for foreign object detection
Y Dai, W Liu, H Wang, W Xie… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The automatic detection of foreign objects between platform screen doors (PSDs) and metro
train doors significantly affects personnel and property safety and maintains the train's …
train doors significantly affects personnel and property safety and maintains the train's …
Real-time short video recommendation on mobile devices
X Gong, Q Feng, Y Zhang, J Qin, W Ding, B Li… - Proceedings of the 31st …, 2022 - dl.acm.org
Short video applications have attracted billions of users in recent years, fulfilling their various
needs with diverse content. Users usually watch short videos on many topics on mobile …
needs with diverse content. Users usually watch short videos on many topics on mobile …
Llmcad: Fast and scalable on-device large language model inference
Generative tasks, such as text generation and question answering, hold a crucial position in
the realm of mobile applications. Due to their sensitivity to privacy concerns, there is a …
the realm of mobile applications. Due to their sensitivity to privacy concerns, there is a …
Iot in the era of generative ai: Vision and challenges
Equipped with sensing, networking, and computing capabilities, Internet of Things (IoT) such
as smartphones, wearables, smart speakers, and household robots have been seamlessly …
as smartphones, wearables, smart speakers, and household robots have been seamlessly …
Towards energy-efficient deep learning: An overview of energy-efficient approaches along the deep learning lifecycle
V Mehlin, S Schacht, C Lanquillon - arXiv preprint arXiv:2303.01980, 2023 - arxiv.org
Deep Learning has enabled many advances in machine learning applications in the last few
years. However, since current Deep Learning algorithms require much energy for …
years. However, since current Deep Learning algorithms require much energy for …
Graft: Efficient inference serving for hybrid deep learning with SLO guarantees via DNN re-alignment
Deep neural networks (DNNs) have been widely adopted for various mobile inference tasks,
yet their ever-increasing computational demands are hindering their deployment on …
yet their ever-increasing computational demands are hindering their deployment on …
Pruning parameterization with bi-level optimization for efficient semantic segmentation on the edge
With the ever-increasing popularity of edge devices, it is necessary to implement real-time
segmentation on the edge for autonomous driving and many other applications. Vision …
segmentation on the edge for autonomous driving and many other applications. Vision …
The Ba(Bi0.5Ta0.5)O3 modified (K0.5Na0.5)NbO3 lead-free transparent ferroelectric ceramics with high transmittance and excellent energy storage performance
H Wu, S Shi, X Liu, H Wang, J Xu, L Yang… - Journal of Materials …, 2022 - Springer
For solving the contradiction that good optical properties and electrical properties of (K0.
5Na0. 5) NbO3 (KNN)-based transparent ferroelectric ceramics cannot be achieved at the …
5Na0. 5) NbO3 (KNN)-based transparent ferroelectric ceramics cannot be achieved at the …