Michele Pasin / Quotes

Machine learning spans symbols and networks

Machine Learning is a branch of AI that spans both the classical symbolic approach and connectionism. Here, models of learning capture the ability of an agent to improve itself in light of information in the environment. Often, the ability of connectionist systems to learn is cited as one of its defining characteristics, and a feature most attractive to AI researchers.

Saved 15 June 2022 / www.amazon.com ↗

#machine-learning #connectionism #learning #artificial-intelligence

Machine intelligence

I mean “machine intelligence” as a unifying term for what others call machine learning and artificial intelligence. (Some others have used the term before…

Shivon Zilis - Machine Intelligence #machine-learning #artificial-intelligence #intelligence #learning #technology

Reinforcement learning inspired by the brain

DeepMind’s algorithm is directly inspired by theories about how the human brain stores, retrieves, and learns information—called reinforcement learning. The…

Beyond Zero and One (Andrew Smart) #machine-learning #neuroscience #artificial-intelligence #learning

Data science as a way out of academia

The most accessible job to a typical physicist cum programmer goes by the job title Data Scientist. It's also one of the more high paying jobs in technology…

How To Leave Academia #programmers #data-scientists #machine-learning #learning #jobs

DeepMind and the Gödel Machine

many of the writers cited above would point to dozens of cool AI projects, such as Jürgen Schmidhuber’s Gödel Machine, which can self-improve by writing its…

Beyond Zero and One (Andrew Smart) #artificial-intelligence #machine-learning #Google

Problem: “philosophy of x” vs. “x”

In numerous places in the expert-supplied taxonomies, we also noticed that cat- egory names sometimes included a “philosophy of” prefix and sometimes did not…

From Encyclopedia To Ontology: Toward Dynamic Representation Of The Discipline Of Philosophy #philosophy #connectionism #artificial-intelligence #intelligence #name

Inceptionism: neural networks dreaming psychedelic images

But why does the human brain react to LSD the way it does? And, if a machine were to achieve human-like consciousness, would it also react to “digital” LSD…

Beyond Zero and One (Andrew Smart) #machine-learning #psychedelics #hallucinations #Google