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Artificial Intelligence Software
Artificial Intelligence (AI) software is computer technology designed to simulate human intelligence. It can be used to perform tasks that require cognitive abilities, such as problem-solving, data analysis, visual perception and language translation. AI applications range from voice recognition and virtual assistants to autonomous vehicles and medical diagnostics.
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    Dexit

    Dexit

    314e Corporation

    ...It ingests documents from any channel, fax, scan, email, upload, or API, and applies a purpose-built AI model to identify, extract, and interpret patient information from unstructured sources, scanned faxes, layered PDFs, and handwritten notes. It features a virtual fax server to eliminate paper workflows; automated classification and routing to match records to patient MPIs and drive documents into the right workflow; a drag-and-drop workflow builder enabling users to design complex, healthcare-specific processes with triggers, conditions, approvals, API calls, and communications; and governance tools for review, monitoring, and exception handling. Dexit aims to reduce labor burden, improve throughput, and let staff focus on higher-value tasks.
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    Microsoft Genomics
    ...Because Microsoft Genomics is on Azure, you have the performance and scalability of a world-class supercomputing center, on demand in the cloud. Take advantage of a backend network with MPI latency under three microseconds and non-blocking 32 gigabits per second (Gbps) throughput. This backend network includes remote direct memory access technology that enables parallel applications to scale to thousands of cores. Azure provides you with high memory and HPC-class CPUs to help you get results fast. Scale up and down based on what you need and pay only for what you use to reduce costs. ...
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    AWS Elastic Fabric Adapter (EFA)
    ...Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High-Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud. EFA is available as an optional EC2 networking feature that you can enable on any supported EC2 instance at no additional cost. ...
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