12/29/2023 0 Comments Gehc learning factory for inferencing![]() ![]() ![]() Michael Veronis, Chief Revenue Officer at AppTek "We look forward to implementing our joint vision." ![]() As we cover multiple sources and types of information input together, we address the full scope of recognition, cognition, interpreting and analytics. "This partnership brings the full stack Human Language Technology to the federal and commercial space in both Europe and the United States. The combined capabilities of AppTek and expert.ai supercharge enterprise and government NLU and NLP (natural language processing) applications, expanding the data types and sources available for analysis to provide even more informational output. The partnership leverages AppTek's leadership in Automatic Speech Recognition (ASR) and Neural Machine Translation (NMT) technologies with expert.ai's natural language understanding (NLU) capabilities to enable organizations to leverage audio content in the unstructured data sets that they manage for improving decision making and augmenting intelligent automation.Īs organizations increasingly utilize language data-emails, documents, reports and other free form text- for an ever-growing range of enterprise use cases (knowledge discovery, contract analysis, policy review, email management, text summarization, classification, entity extraction, etc.), natural language capabilities will play a critical role in powering any process or application that relies on unstructured language data. The company's ground-breaking work in accelerated computing and artificial intelligence is reshaping trillion-dollar sectors, including transportation, healthcare, and manufacturing, and fueling the growth of many others.ĪI TECH,AI APPLICATIONS,SOFTWARE AppTek and expert.ai Announce Strategic PartnershipĪppTek and expert.ai announced today they have entered into a strategic technology partnership to bring AI-based text analytics to dynamic audio content in multiple languages. The GPU, invented by NVIDIA in 1999, sparked the growth of the PC gaming industry and redefined modern computer graphics, high-performance computing, and artificial intelligence. In addition, the most recent versions of plug-ins, parsers, and examples are open-source and accessible via the TensorRT GitHub repository. TensorRT 8 is now widely accessible and free to NVIDIA Developer program members. Through its innovative healthcare solutions, this allows doctors to provide the greatest quality of treatment. TensorRT is being used by GE Healthcare, a global leader in medical technology, diagnostics, and digital solutions, to help accelerate computer vision applications for ultrasounds, a key tool for disease detection. The company collaborates with NVIDIA to provide ground-breaking AI services that will allow text analysis, neural search, and conversational applications at scale. Hugging Face is an open-source AI leader on which the world's biggest AI service providers in various sectors rely. Industry leaders have used TensorRT for deep learning inference applications in conversational AI and various other areas. This substantially reduces compute and storage overhead for efficient Tensor Core inference. Quantization-aware training allows developers to utilize trained models to perform inference in INT8 precision without sacrificing accuracy. Sparsity is a new performance approach in NVIDIA Ampere architecture GPUs that improves efficiency and allows developers to accelerate neural networks by minimizing computational operations. TensorRT applications can be used in hyperscale data centers, embedded product platforms, and automotive product platforms. TensorRT has been downloaded over 2.5 million times by more than 350,000 developers from 27,500 companies across various industries, including healthcare, automotive, finance, and retail, during the last five years. Companies may now double or treble their model size with TensorRT 8 to make significant gains inaccuracy. Previously, companies had to reduce the size of their models, which resulted in considerably less accurate findings. The improvements in TensorRT 8 provide record-breaking speed for language applications, executing BERT-Large, one of the world's most commonly used transformer-based models, in 1.2 milliseconds. TensorRT 8, the eighth version of NVIDIA's AI software, was released today, cutting inference time for language queries in half, enabling developers to create the world's best-performing search engines, ad recommendations, and chatbots and provide them from the cloud to the edge.
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