Welcome to the first Data Science Briefing of 2025!
The first webinar of they year is coming up a week from today. We're starting 2025 with LangChain for Generative AI Pipelines on January 15th. Register now! The next edition of the Generative Artificial Intelligence with the OpenAI API for Developers webinar has just been scheduled for Feb 12, but you can already Register.
We're also proud to announce our latest blogpost the Data For Science substack: Top 10 Books we read in 2024 where we review some of our favorite books of the past 12 months.
In our regularly scheduled content, we explore AI Agents, The State of Generative Models, learn from COVID 5 years later, H5N1 and How I program with LLMs.
On the academic front, we Dive into Time-Series Anomaly Detection and Deep Learning Interviews, Explain Large Language Models Decisions Using Shapley Values and how Artificial intelligence chatbots mimic human collective behaviour.
This week's book recommendation is "The Atomic Human: What Makes Us Unique in the Age of AI" by N. D. Lawrence. You can find all the previous book recommendations on our website. In this week's video, we consider Unifying Physics and Machine Learning: The Next Big Breakthrough?
Data shows that the best way for a newsletter to grow is by word of mouth, so if you think one of your friends or colleagues would enjoy this newsletter, go ahead and forward this email to them. This will help us spread the word!
Semper discentes,
The D4S Team
This week's book is "The Atomic Human: What Makes Us Unique in the Age of AI" by N. D. Lawrence. The book presents a compelling exploration of what defines humanity in the context of advancing artificial intelligence. The central thesis revolves around the idea that our vulnerabilities and imperfections, rather than our technological capabilities, are what truly characterize us as human beings. The book argues that while AI can replicate certain aspects of human thought and behavior, it fundamentally lacks the emotional depth, moral judgment, and ability to navigate complex, ambiguous situations that define human experience.
Lawrence emphasizes the importance of our flaws and social connections in fostering growth and creativity. He posits that these qualities allow us to form cultures and communities that go beyond mere survival, highlighting the unique aspects of human decision-making through historical examples. This perspective challenges the prevailing narrative that positions AI as a competitor to human intelligence, instead suggesting that AI should be viewed as a tool that complements but does not replace our intrinsic human qualities.
This book serves as an engaging examination of what it means to be human in an era increasingly defined by technological advancements, prompting readers to reflect on the essence of humanity amidst the rise of intelligent machines.
- COVID 5 years later: Learning from a pandemic many are forgetting [science.org]
-
The State of Generative Models [nrehiew.github.io]
-
Rules for Writing Software Tutorials [refactoringenglish.com]
-
H5N1: Much More Than You Wanted To Know [astralcodexten.com]
-
Agents [huyenchip.com]
- Infectious diseases killed Victorian children at alarming rates [theconversation.com]
-
How I program with LLMs [crawshaw.io]
- Toward optimal disease surveillance with graph-based active learning (J. L.-H. Tsui, M. Zhang, P. Sambaturu, S. Busch-Moreno, M. A. Suchard, O. G. Pybus, S. Flaxman, E. Semenova, M. U. G. Kraemer)
-
Metapopulation heterogeneities in host mobility, productivity, and immunocompetency always increase virulence and infectiousness (M. Sato, U. Dieckmann, A. Sasaki)
-
Artificial intelligence chatbots mimic human collective behaviour (J. K. He, F. P. S. Wallis, A. Gvirtz, S. Rathje)
-
Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI (S. Kashani, A. Ivry)
-
Phase behavior of Cacio and Pepe sauce (G. Bartolucci, D. M. Busiello, M. Ciarchi, A. Corticelli, I. D. Terlizzi, F. Olmeda, D. Revignas, V. M. Schimmenti)
-
Explaining Large Language Models Decisions Using Shapley Values (B. Mohammadi)
-
Dive into Time-Series Anomaly Detection: A Decade Review (P. Boniol, Q. Liu, M. Huang, T. Palpanas, J. Paparrizos)
Unifying Physics and Machine Learning: The Next Big Breakthrough?
All the videos of the week are now available in our YouTube playlist.
Upcoming Events:
Opportunities to learn from us
On-Demand Videos:
Long-form tutorials
|