Chemicals Machine Learning Software Review Systems Review 
CIO
NOVEMBER 9, 2023
This section of the executive order also includes vagaries such as “The Departments of Energy and Homeland Security will also address AI systems’ threats to critical infrastructure, as well as chemical, biological, radiological, nuclear, and cybersecurity risks.” Thus, additional clarity around reporting of deep R&D is needed.
John Snow Labs
JUNE 1, 2023
Clinical NLP Clinical NLP systems have several requirements such as: Entity Extraction – Clinical Natural Language Processing engines surface relevant clinical concepts including acronyms, shorthand, and jargon from unstructured clinical data. the clinical NLP system should be able to detect it.
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John Snow Labs
MAY 10, 2023
Healthcare NLP saves the time and effort of physicians, and makes the information of use by: Using specialized engines that scrub large sets of unstructured data and discover improperly coded or previously missed patient conditions. Allowing physicians to extract critical insights rather than wasting time in reviewing complex EHRs.
Altexsoft
SEPTEMBER 9, 2022
Another example is labeling and categorizing objects in any scientific field, be it archeological finds, chemical samples, or living things in biology. Such uniform usage enables interoperability and integration between disparate systems. Usually such files are kept in a database system – a metadata repository.
CIO
AUGUST 15, 2023
Moreover, CarMax found that its customers wanted information from reviews and ratings submitted by other consumers. So, the CarMax technology and content teams recognized the need to create a new system that could produce updated vehicle information and analyze and summarize customer reviews at scale.
Altexsoft
MAY 6, 2022
When ice cream melts in your hands on a hot day, it can be a bit frustrating; but if a load of vaccines can’t be used because it went bad due to wrong storage or transportation conditions, the results are a lot more serious, if not fatal. What is cold chain logistics? We’ll talk more about packaging technologies in one of the next sections.
Altexsoft
MARCH 30, 2020
Source: Tibbo Systems. Major cons: high repair cost, safety risks, the potentially greater damage to machines. Major cons: the need for organizational changes, large investments in hardware, software, expertise, and staff training. Predictive maintenance became possible due to the arrival of Industry 4.0, IIoT system.
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