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(NASDAQ: BEAT), a medical technology company focused on transforming cardiac care by providing powerful personalized insights ...
Efficient Learning Algorithms for the Best Capped Base-Stock Policy in Lost Sales Inventory Systems Periodic review, lost sales inventory systems with lead times are notoriously challenging to ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now DeepMind wants to enable neural networks to ...
shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
A U.S. Naval Research Laboratory (NRL) research team successfully conducted the first reinforcement learning (RL) control of ...
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Algorithms that address malicious noise could result in more accurate, dependable quantum computing
Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...
The model could uncover quakes that would previously have been dismissed as human-generated vibrations. Cities are loud places. Traffic, trains, and machinery generate a lot of noise. While it’s a ...
Millions of dollars are being spent to develop artificial intelligence software that reads x-rays and other medical scans in hopes it can spot things doctors look for but sometimes miss, such as lung ...
AI-based evaluation of medical imaging data usually requires a specially developed algorithm for each task. Scientists have now presented a new method for configuring self-learning algorithms for a ...
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