Financial Forensics
Nowadays finance is inundated with a flurry of data that is increasing in complexity as well as in size.
Nowadays finance is inundated with a flurry of data that is increasing in complexity as well as in size.
The CADI group is working with the Department of Orthopaedics at UB on simulation-based training modalities for orthopaedic surgery.
Characterization of pharmacological signal transductions leading to drug-induced expressions of genes and proteins requires the capability to identify interactions between different potential predictor components.
BIG Data Sets are overwhelming the Discovery Process in science, industry and healthcare.
CADI has developed an image guided neurosurgery toolkit to produce optimum plans resulting in minimally invasive surgeries.
The computational requirement of simulation is a combination of the data processed in a model and the time in which processing has to be performed.
Neurosurgery is a complex procedure where the surgeon has to integrate multi-modal data to produce an optimum surgical plan. Many times the region of interest is surrounded by vital structures (such as motor cortex, temporal cortex, vision and audio sensors, etc.) and has irregular configurations. Slight damage to such eloquent brain structures can severely impair the patient.
Nowadays finance is inundated with a flurry of data that is increasing in complexity as well as in size. For example, the data covering the quotes and transactions from the major US exchanges (TAQ) grows exponentially, now at a rate of hundreds of terabytes per year. Although there are some parallel computing platforms that facilitate simple requests related to TAQ, there is nothing in place currently having the capacity to handle, more complicated things such as mergers between the TAQ and other potentially large databases.
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