Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Mahjoubfar, Ata"'
Humans apprehend the world through various sensory modalities, yet language is their predominant communication channel. Machine learning systems need to draw on the same multimodal richness to have informed discourses with humans in natural language;
Externí odkaz:
http://arxiv.org/abs/2208.11253
On-Shelf Availability (OSA) of products in retail stores is a critical business criterion in the fast moving consumer goods and retails sector. When a product is out-of-stock (OOS) and a customer cannot find it on its designed shelf, this motivates t
Externí odkaz:
http://arxiv.org/abs/2205.13060
Publikováno v:
PLoS ONE 17(4): e0264364, 2022
Neuromorphic computing mimics the neural activity of the brain through emulating spiking neural networks. In numerous machine learning tasks, neuromorphic chips are expected to provide superior solutions in terms of cost and power efficiency. Here, w
Externí odkaz:
http://arxiv.org/abs/2008.01380
Publikováno v:
Scientific Reports 9 (2019) 11088
Deep learning has achieved spectacular performance in image and speech recognition and synthesis. It outperforms other machine learning algorithms in problems where large amounts of data are available. In the area of measurement technology, instrumen
Externí odkaz:
http://arxiv.org/abs/1904.09233
We show that dispersive propagation of light followed by phase detection has properties that can be exploited for extracting features from the waveforms. This discovery is spearheading development of a new class of physics-inspired algorithms for fea
Externí odkaz:
http://arxiv.org/abs/1706.07841
We are inspired by mechanical gearboxes and demonstrate its analog counterpart in optics. We use nonlinear dispersion modes as "gears" to overcome the mismatch between the ultrahigh speed of optical data and the much slower sampling rate of electroni
Externí odkaz:
http://arxiv.org/abs/1612.04562
Autor:
Jalali, Bahram, Mahjoubfar, Ata
Publikováno v:
Proceeding of the IEEE, Vol. 103, No. 7, pp. 1071-1086, 2015
This paper proposes a new class of hardware accelerators to alleviate bottlenecks in the acquisition, analytics, storage and computation of information carried by wideband streaming signals.
Comment: 12 Figures
Comment: 12 Figures
Externí odkaz:
http://arxiv.org/abs/1506.07629
High throughput real-time instruments are needed to acquire large data sets for detection and classification of rare events. Enabled by the photonic time stretch digitizer, a new class of instruments with record throughputs have led to the discovery
Externí odkaz:
http://arxiv.org/abs/1503.05834
Recently it has been shown that the intensity time-bandwidth product of optical signals can be engineered to match that of the data acquisition instrument. In particular, it is possible to slow down an ultrafast signal, resulting in compressed RF ban
Externí odkaz:
http://arxiv.org/abs/1409.0609