Physics-AI symbiosis

The New AI: General & Sound & Relevant for Physics

The New AI: General & Sound & Relevant for Physics

Most traditional artificial intelligence (AI) systems of the past 50 years are either very limited, or based on heuristics, or both. The new millennium, however, has brought substantial progress in the field of theoretically optimal and practically feasible algorithms for prediction, search, inductive inference based on Occam’s razor, problem solving, decision making, and reinforcement learning...

Stochastic Search and Phase Transitions: AI Meets Physics

Computationally hard instances of combinatorial problems arise at a certain critical ratio of constraints to variables. At the critical ratio, problem distributions undergo dramatic changes. I will discuss how an analogous phenomenon occurs in phase transitions studied in physics, and how experiments with critically constrained problems have led to surprising new insights into average-case comp...

Algorithms for the Greater Good! On Mental Modeling and Acceptable Symbiosis in Human-AI Collaboration

Effective collaboration between humans and AI-based systems requires effective modeling of the human in the loop, both in terms of the mental state as well as the physical capabilities of the latter. However, these models can also open up pathways for manipulating and exploiting the human in the hopes of achieving some greater good, especially when the intent or values of the AI and the human a...

Symbiosis

What is in store for the guppy? Variation is essential to understanding the genetics underlying biological processes. The guppy provides a huge amount of natural variation that can be studied genetically. This variation has not been produced by mutagenesis screens, but instead has been shaped by natural selection. Thus, combined with emerging genomic resources, the guppy is an ideal organism fo...