Philosophy’s value and power are greatly diminished when it operates within a too closely confined professional space. Extreme Philosophy: Bold Ideas and a Spirit of Progress serves as an antidote to the increasing narrowness of the field. It offers readers–including students and general readers–twenty internationally acclaimed philosophers who highlight and defend odd, extreme, or ‘mad’ ideas. The resulting conjectures are often provocative and bold, but always clear and accessible.
Ideas discussed in the book, include:
propaganda need not be irrational
science need not be rational
extremism need not be bad
tax evasion need not be immoral
anarchy need not be uninviting
democracy need not remain as it generally is
humans might have immaterial souls
human minds might have all-but-unlimited powers
knowing might be nothing beyond being correct
space and time might not be ‘out there’ in reality
value might be the foundational part of reality
value might differ in an infinitely repeating reality
reality is One
reality is vague
In brief, the volume pursues adventures in philosophy. This spirit of philosophical risk-taking and openness to new, ‘large’ ideas were vital to philosophy’s ancient origins, and they may also be fertile ground today for philosophical progress.

More at: www.taylorfrancis.com

Why do we get certain diseases, whereas other diseases do not exist?

In this book, Alon, one of the founders of systems biology, builds a foundation for systems medicine.

Starting from basic laws, the book derives why physiological circuits are built the way they are. The circuits have fragilities that explain specific diseases and offer new strategies to treat them.

By the end, the reader will be able to use simple and powerful mathematical models to describe physiological circuits. The book explores, in three parts, hormone circuits, immune circuits, and aging and age-related disease. It culminates in a periodic table of diseases.

Alon writes in a style accessible to a broad range of readers – undergraduates, graduates, or researchers from computational or biological backgrounds. The level of math is friendly and the math can even be bypassed altogether. For instructors and readers who want to go deeper, the book includes dozens of exercises that have been rigorously tested in the classroom

More at: www.taylorfrancis.com

Why information is the unifying principle that allows us to understand the evolution of complexity in nature

More than 150 years after Darwin’s revolutionary On the Origin of Species, we are still attempting to understand and explain the amazing complexity of life. Although we now know how evolution proceeds to build complexity from simple ingredients, quantifying this complexity is still a difficult undertaking. In this book, Christoph Adami offers a new perspective on Darwinian evolution by viewing it through the lens of information theory. This novel theoretical stance sheds light on such matters as how viruses evolve drug resistance, how cells evolve to communicate, and how intelligence evolves. By this account, information emerges as the central unifying principle behind all of biology, allowing us to think about the origin of life—on Earth and elsewhere—in a systematic manner.

Adami, a leader in the field of computational biology, first provides an accessible introduction to the information theory of biomolecules and then shows how to apply these tools to measure information stored in genetic sequences and proteins. After outlining the experimental evidence of the evolution of information in both bacteria and digital organisms, he describes the evolution of robustness in viruses; the cooperation among cells, animals, and people; and the evolution of brains and intelligence. Building on extensive prior work in bacterial and digital evolution, Adami establishes that (expanding on Dobzhansky’s famous remark) nothing in biology makes sense except in the light of information. Understanding that information is the foundation of all life, he argues, allows us to see beyond the particulars of our way of life to glimpse what life might be like in other worlds.

Read the full article at: press.princeton.edu

A Passion for Cooperation is the exciting autobiography of Robert Axelrod, one of the most acclaimed and wide-ranging scientists of the last fifty years. After being recognized by President Kennedy for being a promising young scientist while in high school, Axelrod built a career dedicated to collaborating with business school professors, international relations scholars, political scientists, computer scientists, and even evolutionary biologists and cancer researchers. Fifty years later, he was honored by President Obama with the National Medal of Science for scientific achievement and leadership and his work has been referred to as the gold standard of interdisciplinary research. 

Yet Axelrod’s autobiography is not just an account of his wide-ranging passion for cooperation. It reveals his struggles to overcome failures and experience the joys of gaining new insights into how to achieve cooperation. A Passion for Cooperation recounts Robert Axelrod’s adventures talking with the leader of the organization Hamas, the Prime Minister of Israel, and the Foreign Minister of Syria. Axelrod also shares stories of being hosted in Kazakhstan by senior Soviet retired generals and visiting China with well-connected policy advisors on issues of military aspects of cyber conflict. Through stories of the difficulties and rewards of interdisciplinary collaborations, readers will discover how Axelrod’s academic and practical work have enriched each other and demonstrated that opportunities for cooperation are much greater than generally thought. 

More at: press.umich.edu

Amil Merchant, Simon Batzner, Samuel S. Schoenholz, Muratahan Aykol, Gowoon Cheon & Ekin Dogus Cubuk 
Nature (2023)

Novel functional materials enable fundamental breakthroughs across technological applications from clean energy to information processing1,2,3,4,5,6,7,8,9,10,11. From microchips to batteries and photovoltaics, discovery of inorganic crystals has been bottlenecked by expensive trial-and-error approaches. Concurrently, deep-learning models for language, vision and biology have showcased emergent predictive capabilities with increasing data and computation12,13,14. Here we show that graph networks trained at scale can reach unprecedented levels of generalization, improving the efficiency of materials discovery by an order of magnitude. Building on 48,000 stable crystals identified in continuing studies15,16,17, improved efficiency enables the discovery of 2.2 million structures below the current convex hull, many of which escaped previous human chemical intuition. Our work represents an order-of-magnitude expansion in stable materials known to humanity. Stable discoveries that are on the final convex hull will be made available to screen for technological applications, as we demonstrate for layered materials and solid-electrolyte candidates. Of the stable structures, 736 have already been independently experimentally realized. The scale and diversity of hundreds of millions of first-principles calculations also unlock modelling capabilities for downstream applications, leading in particular to highly accurate and robust learned interatomic potentials that can be used in condensed-phase molecular-dynamics simulations and high-fidelity zero-shot prediction of ionic conductivity.

Read the full article at: www.nature.com