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Preface
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- Mathematics for Future Computing and Communications
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- 03 December 2021
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- 16 December 2021, pp ix-x
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4 - Mathematics for AI: Categories, Toposes, Types
- from Part I - Computing
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- Mathematics for Future Computing and Communications
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- 03 December 2021
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- 16 December 2021, pp 98-132
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8 - Mathematics and Network Science
- from Part II - Communications
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- 16 December 2021, pp 211-224
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Part I - Computing
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- Mathematics for Future Computing and Communications
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- 16 December 2021, pp 1-5
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10 - Mathematics and Bayesian Inference
- from Part III - Artificial Intelligence
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- 16 December 2021, pp 285-308
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Part II - Communications
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- 16 December 2021, pp 133-137
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13 - Mathematics and Prospects for Future Breakthroughs
- from Part IV - Future
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- 16 December 2021, pp 377-383
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3 - Mathematics for Quantum Computing
- from Part I - Computing
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- 16 December 2021, pp 74-97
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Frontmatter
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- Mathematics for Future Computing and Communications
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- 16 December 2021, pp i-iv
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12 - Mathematics of Reinforcement Learning
- from Part III - Artificial Intelligence
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- 16 December 2021, pp 329-374
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6 - Mathematics, Information Theory, and Statistical Physics
- from Part II - Communications
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- 16 December 2021, pp 153-186
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Editors and Contributing Authors
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- 16 December 2021, pp 384-388
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5 - Mathematics and Compressed Sensing
- from Part II - Communications
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- 16 December 2021, pp 138-152
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Contents
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- 16 December 2021, pp v-viii
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1 - Mathematics, Models and Architectures
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- 16 December 2021, pp 6-53
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Part III - Artificial Intelligence
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- 16 December 2021, pp 225-229
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9 - Mathematics, Information and Learning
- from Part III - Artificial Intelligence
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- 16 December 2021, pp 230-284
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2 - Mathematics and Software Verification
- from Part I - Computing
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- 16 December 2021, pp 54-73
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7 - Mathematics of Data Networking
- from Part II - Communications
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- 16 December 2021, pp 187-210
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11 - Mathematics, Optimization and Machine Learning
- from Part III - Artificial Intelligence
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- 16 December 2021, pp 309-328
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