Machine learning (ML) applications have shown remarkable performance in vanous intelligent tasks but high computational intensity and large memory requirements have hindered its widespread ubhzation in embedded and Internet of things devices due to resource constraints. Many optimization techniques have been proposed previously for domain specific architectures. These optimizations will affect an embedded device differently. […]

Digital advertising is a rapidly growing industry, commonly seen on Facebook and Google. However, most people who start promoting their business with Internet Ads are not professional and experienced marketers. They need help to design and launch ads campaign, especially on writing ads copies. Meanwhile, people have started to embrace AI technologies in the industry […]

Galmed is creating leading edge medical image processing technology that exploits machine learning to empower physicians and improve patient care. The success of our algorithms depends on the availability of high-quality data, which in our current study means working with chest x-ray images (CXRs) that are accurately labeled with the findings that a radiologist would […]

The goal of Engagement Intellect system (at Deloitte) is to use conversations between patients and physicians and convert them into useful information. This is done using recent advancements in artificial intelligence technologies that can automatically extract symptoms, medical history, and other relevant information from the voice recordings. Besides extraction, the project will focus on associating […]

In this project, using such mainstream cryptocurrencies as BitCoin and Ethereum as representatives, the intern will analyze the transaction collection strategies of their mining pools, and then collect transactions and the corresponding blocks data to build a large dataset, from which the computing power of different mining pools and their proportions will be analyzed, together […]

Surgery is undoubtedly one of the most important events in a person’s life. It is thus imperative that a feedback system is in place to ensure that proper care is provided to patients during surgery. Currently, such systems involve experienced surgeons watching hours of surgery to determine how well the surgery was performed based on […]

Research and develop a machine learning application to detect fraud in health insurance claims. The project will seek to understand how machine learning can contribute significantly to health insurance fraud detection, and develop a methodology to yield the best results using available data and current machine learning best practices. The output of the project will […]

This project proposes a novel planning algorithm based on merging a sampling-based global planner with an inverse kinematics-based controller, defined local planner. The idea is to run off-line the global planner before the motion starts. Then, during the motion, the local planner is executed and simultaneously at lower frequency the global one is performed “to […]

Ciena would like to drastically improve its ability to track, analyse and forecast the cost of products. Building on experience with the current tool suite and business practices, Ciena aims to develop a next-generation product cost analytics solution that will run on its existing IT infrastructure and allow capture, analysis and modeling of historical as […]

Clinical logistics has more than 20 years of experience in providing clinical samples to some of the largest pharmaceutical companies for the clinical studies. These samples are mainly used in clinical studies for research and development of new drugs. Thus the quality and timely provision of sample is of utmost importance. Currently the operation of […]

The goal of this project is to design and implement a mobile “dashboard” interface for an ocean vessel profiling device that captures speed, location, torque, and other data relevant to ship powering measurement and prediction. The interface will provide real-time visualizations that a pilot, engineer, or scientist can use to monitor the impact of ship […]

Machine learning can be used to predict employee events around retention, promotion or movement. This project explores how to generate better predictions by exploring correlations and exploiting them through features that increase predictive strength. Furthermore, the project explores how to reliably fine-tune the predictive model to a particular data set in the presence of interdependence […]