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At the Mount Sinai Health System we have successfully translated many algorithms from concept to testing and clinical care, in ways that have led to financial savings and improved patient outcomes.
Decoding algorithms, such as maximum likelihood techniques, exploit the structure of these codes to recover the original information with high fidelity.
Nonbinary Low-Density Parity-Check Codes and Decoding Algorithms Publication Trend The graph below shows the total number of publications each year in Nonbinary Low-Density Parity-Check Codes and ...
This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...
In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...
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Tech Xplore on MSNAI 'coach' helps language models choose between text and code to solve problemsLarge language models (LLMs) excel at using textual reasoning to understand the context of a document and provide a logical ...
Incorporating AI into the development workflow is not simply a byproduct of technology hype; rather, it reflects a change in the manner we construct software.
KBRA releases research examining the differences between asset-backed securities (ABS) and commercial mortgage-backed securities (CMBS) for data center trans ...
The Trump administration has expanded Palantir’s work with the government, spreading the company’s technology — which could easily merge data on Americans — throughout agencies.
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