Silicon Photonics Link for 100G Interconnect and Beyond -- Li Hao
Over the past decade, the silicon photonics community has made fantastic progress in implementing high performance optical and electro-optical devices in silicon. Today silicon photonic integrated circuits have become one of the most promising technique to support the rapid scaling of internet bandwidth and high throughput of datacenters. This presentation will start from the motivation and development of silicon photonics based optical interconnects. Several key design challenges of practical silicon photonics based optical links will then be discussed and will briefly introduce several energy efficient silicon photonics transceiver systems.
Efficient instance annotation in multi-instance learning -- Anh Pham
The cost associated with manually labeling every individual instance in large datasets is prohibitive. Significant labeling efforts can be saved by assigning a collective label to a group of instances (a bag). This setup prompts the need for algorithms that allow labeling individual instances (instance annotation) based on bag-level labels. Probabilistic models in which instance-level labels are latent variables can be used for instance annotation. Brute-force computation of instance-level label probabilities is exponential in the number of instances per bag due to marginalization over all possible combinations. Existing solutions for addressing this issue include approximate methods such as sampling or variational inference. We propose a discriminative probability model and an efficient and effective expectation maximization procedure for inference to address the instance annotation problem.
Enabling Smart Cloud Services Through Remote Sensing: An Internet of Everything Enabler -- Sherif Abdelwahab
The recent emergence and success of cloud-based services has empowered remote sensing and made it very possible. Cloud-assisted remote sensing (CARS) enables distributed sensory data collection, global resource and data sharing, remote and real-time data access, elastic resource provisioning and scaling, and pay-as-you-go pricing models. CARS has great potentials for enabling the so-called Internet of Everything (IoE), thereby promoting smart cloud services. In this talk, we overview CARS. First, we describe its benefits and capabilities through real-world applications. Second, we present a multi-layer architecture of CARS by describing each layer’s functionalities and responsibilities, as well as its interactions and interfaces with its upper and lower layers. Third, we discuss the sensing services models that CARS offers. Fourth, we discuss some popular commercial cloud platforms that have already been developed and deployed in recent years. Finally, we present and discuss CARS major design requirements and challenges.
There will also be refreshments after the colloquium