Designing high performance organic neuromorphic devices remains a challenge. Here, Liu et al. report the development of an organic synapse based on a semicrystalline polymer PBFCL10 with device dimension of 50 nm and integration size of 1 Kb and a mixed‐signal neuromorphic hardware system based on the organic neuromatrix and FPGA controller for decision‐making tasks.
Hilary Putnam has argued that computational functionalism cannot serve as a foundation for the study of the mind, as every ordinary open physical system implements every finite-state automaton. I argue that Putnam’s argument fails, but that it points out the need for a better understanding of the bridge between the theory of computation and the theory of physical systems: the relation of implementation. It also raises questions about the class of automata that can serve as a basis for understanding the mind. I develop an account of implementation, linked to an appropriate class of automata, such that the requirement that a system implement a given automaton places a very strong constraint on the system. This clears the way for computation to play a central role in the analysis of mind.
Quantum advantage is the milestone the field of quantum computing is fervently working toward, where a quantum computer can solve problems that are beyond the reach of the most powerful non-quantum, or classical, computers.
Quantum refers to the scale of atoms and molecules where the laws of physics as we experience them break down and a different, counterintuitive set of laws apply. Quantum computers take advantage of these strange behaviors to solve problems.
Continue reading “Quantum Advantage: A Physicist Explains The Future of Computers” »
NASA’s Europa Clipper spacecraft is headed to one of Jupiter’s largest moons. It’s bringing along a microchip filled with human names.
Neuralink, the Elon Musk-founded company developing implantable chips that can read brain waves, has raised an additional $43 million in venture capital, according to a filing with the SEC.
The filing published this week shows the company increased its previous tranche, led by Peter Thiel’s Founders Fund, from $280 million to $323 million in early August. Thirty-two investors participated, according to the filing.
Neuralink hasn’t disclosed its valuation recently. But in June, Reuters reported that the company was valued at about $5 billion after privately-executed stock trades.
“Luna is a twenty-first-century penal colony but, since no one can stand Earth gravity after being on the moon for a few weeks, all who are sent there must stay. When the liberated people rise against the authority, they receive unexpected help from a computer with a personality.“
Part 1 ||||| You can find Part 2 here: https://youtu.be/P1jI2Oh4-lo.
Chapter list:
00:00:00 — (i) Book info.
00:02:25 — (01) That Dinkum Thnkum 01
00:27:06 — (02) That Dinkum Thnkum 02
00:57:20 — (03) That Dinkum Thnkum 03
01:35:45 — (04) That Dinkum Thnkum 04
02:03:08 — (05) That Dinkum Thnkum 05
02:34:06 — (06) That Dinkum Thnkum 06
03:09:22 — (07) That Dinkum Thnkum 07
03:30:53 — (08) That Dinkum Thnkum 08
03:49:45 — (09) That Dinkum Thnkum 09
04:46:19 — (10) That Dinkum Thnkum 10
05:12:25 — (11) That Dinkum Thnkum 11
05:47:51 — (12) That Dinkum Thnkum 12
06:08:50 — (13) That Dinkum Thnkum 13
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My name is Artem, I’m a computational neuroscience student and researcher. In this video we discuss engrams – fundamental units of memory in the brain. We explore what engrams are, how memory is allocated, where it is stored, and how different memories become linked with each other.
The Sirius 16 is perhaps the first gaming laptop to ship with Linux, equipped with impressive hardware from AMD’s latest mobile Ryzen CPU and Radeon GPU.
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My name is Artem, I’m a computational neuroscience student and researcher. In this video we discuss the Tolman-Eichenbaum Machine – a computational model of a hippocampal formation, which unifies memory and spatial navigation under a common framework.
Continue reading “Can We Build an Artificial Hippocampus?” »
Wouldn’t it be nice to have a computer answer all of the biggest questions in the universe?
In his first year of graduate school, in 2013, Michael Wagman walked into his advisor’s office and asked, “Can you help me simulate the universe?”
Wagman, a theoretical physicist and associate scientist at the US Department of Energy’s Fermi National Accelerator Laboratory, thought it seemed like a reasonable question to ask. “We have all of these beautiful theoretical descriptions of how we think the world works, so I wanted to try and connect those formal laws of physics to my everyday experience of reality,” he says.
