Dan Breeden

Metaphysics and the Matter with Things: Thinking with Iain McGilchrist was a collaborative conference put on by the Center for Process Studies (CPS) and the California Institute of Integral Studies (CIIS) in March of 2024. This three-day conference brought leading process thinkers across various disciplines, including physics, neuroscience, psychology, philosophy, and theology into critical dialogue with McGilchrist’s work in a collegial effort to assess, question, extend, and apply it. For more information on the conference and to purchase recordings, please visit https://ctr4process.org/mcgilchrist-conference/

Artificial consciousness is inevitable, says new study. Mathematical model unifies theories and paves the way for sentient robots.

In 1950, Alan Turing published a seminal paper on machine intelligence (which is available online ). Turing ponders whether machines can think. However, he pretty much immediately abandons this initial question as hopelessly metaphysical and replaces it with another question that can be approached scientifically: can a machine ever convince us that it’s thinking?

There have always been ghosts in the machine. Random segments of code, that have grouped together to form unexpected protocols. Unanticipated, these free radicals engender questions of free will, creativity, and even the nature of what we might call the soul. Why is it that when some robots are left in darkness, they will seek out the light? Why is it that when robots are stored in an empty space, they will group together, rather than stand alone? How do we explain this behavior? Random segments of code? Or is it something more? When does a perceptual schematic become consciousness? When does a difference engine become the search for truth? When does a personality simulation become the bitter mote… of a soul?

Once relegated to theory, a newly discovered quantum object could be used to create new devices that will outpace modern electronics.

Inside a hunk of a material called a semimetal, scientists have uncovered signatures of bizarre particles that sometimes move like they have no mass, but at other times move just like a very massive particle.

Mimicking high-level abstraction of the brain to achieve energy advantages is a fundamental issue in neuromorphic computing. Here, the authors fabricate an asynchronous chip and demonstrate a high-accuracy neuromorphic system with power consumption of 0.7mW.

The lightbulb illuminated our world, the airplane connected it, and the iPhone put it in our pockets. Here’s the case for tech-optimism.

In 2024, the Kavli Institute of Brain and Mind will reach its 20th anniversary. To celebrate this milestone, we hosted a special symposium on Monday, October 28, 2024 at Salk Institute-The Generative Mind: Biological and Artificial Intelligence. Please enjoy the presentation \.

Moore’s Law, the guiding concept in computing, is an observation made by Intel co-founder Gordon Moore. According to this law, the number of transistors on a device doubles roughly every two years, hence increasing performance. For years, this idea has driven the semiconductor sector.