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Cracking the code of complexity in computer science's P vs. NP problem
New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...
Risk management is becoming more and more important in the financial industry, but the models used to determine exposure—from ...
The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (HOLO or the Company), a technology service provider, has launched a groundbreaking ...
New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science. But the way to do it ...
The University of Tennessee, Knoxville, is a leader in automated materials characterization, integrating AI, machine learning ...
The University of Waterloo has seen an increase in the number of researchers included in this year's Highly Cited ...
Akkodis, a global leader in digital engineering consulting, today announced a series of successful technology implementations demonstrating its deep expertise and strong demand for AI-enabled ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
The University of Waterloo has seen an increase in the number of researchers included in this year’s Highly Cited ...
The University of Waterloo has seen an increase in the number of researchers included in this year’s Highly Cited ...
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