Welcome to the 260th edition of the Data Science Briefing!
The most recent post on the Epidemiology series, Epidemiology 303: Metapopulation Models, explores how to connect multiple populations through a travel matrix. In the graph subsection, you'll find all you need to know about k-core Decomposition, while in the Visualization section, you can explore The Effects of Vaccination through a WSJ visualization.
In our regularly scheduled content, we look at Netflix’s TimeSeries Data Abstraction Layer, Diffusion for World Modeling, and how to Transform colors with matrices.
On the academic front, we explore a global dataset of 7 billion individuals with socio-economic characteristics, how to analyze differences between discursive communities using dialectograms, and learn about Machine learning and information theory concepts towards an AI Mathematician.
This week's book recommendation is "Life as No One Knows It: The Physics of Life's Emergence" by S. I. Walker. You can find all the previous book recommendations on our website. In this week's video, we have a tutorial on Essential Mathematics For Aspiring Game Developers.
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Semper discentes,
The D4S Team
This weeks book is "Life as No One Knows It: The Physics of Life's Emergence" by S. I. Walker. In this book, Walker offers a groundbreaking reimagining of life’s nature, challenging traditional definitions and exploring the origins of living systems from a fresh perspective. At the heart of the book lies Assembly Theory, which proposes that all matter can be viewed as information, with life representing a highly complex assembly of causal information. This paradigm-shifting framework not only redefines life universally but also paves the way for identifying non-terrestrial life forms.
In an interdisciplinary approach that blends insights from Physics and Philosophy, the book explores key distinctions between knowledge, information, and consciousness. It encourages readers to move beyond anthropocentric perspectives, prompting us to consider the existence of life forms vastly different from anything encountered on Earth.
- Introducing Netflix’s TimeSeries Data Abstraction Layer [netflixtechblog.com]
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LeetCode was HARD until I Learned these 15 Patterns [medium.com/algomaster-io]
- Diffusion for World Modeling [diamond-wm.github.io]
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Scaling laws of optimization [francisbach.com]
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Transforming colors with matrices [lisyarus.github.io]
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Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think [sihyun.me]
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This AI Pioneer Thinks AI Is Dumber Than a Cat [wsj.com]
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A global dataset of 7 billion individuals with socio-economic characteristics (M. J. Ton, M. W. Ingels, J. A. de Bruijn, H. de Moel, L. Reimann, W. J. W. Botzen, J. C. J. H. Aerts)
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Quantifying the use and potential benefits of artificial intelligence in scientific research (J. Gao, D. Wang)
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Analyzing differences between discursive communities using dialectograms (T. Enggaard, A. Lohse, M. A. Pedersen, S. Lehmann)
- Generalized contact matrices allow integrating socioeconomic variables into epidemic models (A. Manna, L. Dall’Amico, M. Tizzoni, M. Karsai, N. Perra)
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The Dynamics of Social Conventions in LLM populations: Spontaneous Emergence, Collective Biases and Tipping Points (A. F. Ashery, L. M. Aiello, A. Baronchelli)
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GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models (I. Mirzadeh, K. Alizadeh, H. Shahrokhi, O. Tuzel, S. Bengio, M. Farajtabar)
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Machine learning and information theory concepts towards an AI Mathematician (Y. Bengio, N. Malkin)
Essential Mathematics For Aspiring Game Developers
All the videos of the week are now available in our Youtube playlist.
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