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Swarms of earthquakes have been jolting southern Italy with increasing intensity since 2022, threatening hundreds of thousands of people living atop a volcanic area known as Campi Flegrei, where the land experiences slow vertical movements.

While authorities debate disaster responses and evacuation protocols, researchers may have found a way to thwart the cyclic unrest altogether: by managing water runoff or lowering groundwater levels, thus reducing fluid pressure within the geothermal reservoir.

Through subsurface imaging and lab experiments, Stanford scientists have shown how pressure buildup from water and vapor in the reservoir under Campi Flegrei can lead to earthquakes when the caprock, or lid, seals.

What happens when trailblazing engineers and industry professionals team up? The answer may transform the future of computing efficiency for modern data centers.

Data centers house and use large computers to run massive amounts of data. Oftentimes, the processors can’t keep up with this workload because it’s taxing to predict and prepare instructions to carry out. This slows the flow of data. Thus, when you type a question into a , the answer generates more slowly or doesn’t provide the information you need.

To remedy this issue, researchers at Texas A&M University developed a new technique called Skia in collaboration with Intel, AheadComputing, and Princeton to help computer processors better predict future instructions and improve computing performance.

Researchers have achieved a crucial milestone in quantum computing. They have created an operating system capable of enabling communication between quantum computers using different technologies.

This system, named QNodeOS, represents a significant advancement for quantum machine interoperability. Unlike classical systems like Windows or iOS, it is designed to handle the unique complexity of qubits, regardless of their physical nature. This innovation paves the way for more flexible and powerful quantum networks.

A colossal structure in the distant Universe is defying our understanding of how the Universe evolved.

In light that has traveled for 6.9 billion years to reach us, astronomers have found a giant, almost perfect ring of galaxies, some 1.3 billion light-years in diameter. It doesn’t match any known structure or formation mechanism.

The Big Ring, as the structure has been named, could mean that we need to amend the standard model of cosmology.

A groundbreaking discovery reveals how a hidden gene transfer between fungi and plants triggered Earth’s first ecosystems. This ancient process played a key role in the adaptation of plants to life on land.

Patreon: https://bit.ly/3v8OhY7

Michael Levin is a Distinguished Professor in the Biology Department at Tufts University, where he holds the Vannevar Bush endowed Chair, and he is also associate faculty at the Wyss Institute at Harvard University. Michael and the Levin Lab work at the intersection of biology, artificial life, bioengineering, synthetic morphology, and cognitive science. Michael also appeared on the show in episode #151, which was all about synthetic life and collective intelligence. In this episode, Michael and Robinson discuss the nature of cognition, working with Daniel Dennett, how cognition can be realized by different structures and materials, how to define robots, a new class of robot called the Anthrobot, and whether or not we have moral obligations to biological robots.

The Levin Lab: https://drmichaellevin.org/

OUTLINE
00:00 Introduction.
02:14 What is Cognition?
08:01 On Working with Daniel Dennett.
13:17 Gatekeeping in Cognitive Science.
25:15 The Multi-Realizability of Cognition.
31:30 What are Anthrobots?
39:33 What Are Robots, Really?
59:53 Do We Have Moral Obligations to Biological Robots?

Robinson’s Website: ⁠http://robinsonerhardt.com

Robinson Erhardt researches symbolic logic and the foundations of mathematics at Stanford University. Join him in conversations with philosophers, scientists, weightlifters, artists, and everyone in-between.