Nicholas Bourbaki, The Architecture of Mathematics, The American Mathematical Monthly, Vol. 57, No. 4 (Apr., 1950), pp. 221–232
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Neurobiological Mechanisms Underlying Qualia
Many of my essays are quite old. They were, in effect, written by a person who no longer exists in that my views, beliefs, and overall philosophy have grown and evolved over the years. Consequently, if I were to write on the same topics again, the resulting essays might differ significantly from their current versions. Rather than edit my essays to remain contemporary with my views, I have chosen to preserve them as a record of my past inclinations and writing style. Thank you for understanding.
Elon Musk UPDATE Neuralink 4.0 Chip Destroy Entire BCI Industry!
Elon Musk UPDATE Neuralink 4.0 Chip introduces Neuralink’s next-generation O1 brain chip developed with Samsung.
This video explores the latest progress of the Neuralink 4.0 chip, including movement restoration, speech recovery, Blindsight vision technology, and how Neuralink patients are using brain-computer interfaces today.
We also examine Samsung’s 4nm partnership, the new R1 surgical robot, and competition from Synchron, Paradromics, and China’s NEO system to understand how the Neuralink 4.0 chip could shape the future of the BCI industry.
If you’re interested in Elon Musk, AI, neuroscience, and future medical technology, this breakdown explains why many experts view the Neuralink 4.0 chip as one of the most important developments in brain-computer interfaces.
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How to Build a Synthethic Mind: Brain Inspired AI Exists Now
Further Reading.
Thumbnail image credit: Adobe Stock.
Brains and algorithms partially converge in natural language processing.
https://www.nature.com/articles/s4200…
Strong Prediction: Language Model Surprisal Explains Multiple N400 Effects.
https://pmc.ncbi.nlm.nih.gov/articles…
Foundation model of neural activity predicts response to new stimulus types.
https://www.nature.com/articles/s4158…
Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning.
https://www.nature.com/articles/s4146…
A Computational Perspective on NeuroAI and Synthetic Biological Intelligence.
Gary Marcus on AI: How do we bridge the mind with the brain?
Gary Marcus is now one of the loudest skeptics of the AI boom. In 2012, almost nobody was listening.
I have the tape.
That year, I sat down with him for Singularity. FM, right after he published a sharp critique of Ray Kurzweil’s theory of mind in The New Yorker. Marcus was already making the argument that would define his career. Intelligence is not just pattern-matching. The mind is a kluge, a messy evolutionary patch job. And scale alone will not get you to real #AI.
More than a decade later, that argument is everywhere. Labs are chasing the hybrid and neurosymbolic approaches he pointed to back then. The field finally caught up to the conversation.
But here is what makes the interview worth revisiting. He also bet big on neuroscience as the road forward, on projects like Blue Brain and Whole Brain Emulation. The breakthroughs came from somewhere else entirely.
So was he the prophet, or just early on some calls and wrong on others? Watch it and decide for yourself.
Cancer cells co-opt nociceptive nerves to thrive in nutrient-poor environments and upon nutrient-starvation therapies
(Cell Metabolism 34, 1999–2017.e1–e10; December 6, 2022)
We recently identified several errors during a routine review of the data associated with the published article.
In Figure 2A, the dataset corresponding to the Boyden chamber co-culture condition was inadvertently duplicated from the conditioned media dataset during the preparation of the source data files. The figure itself was generated using the correct raw experimental datasets at the time of analysis and plotting. Therefore, the quantitative results shown in the published figure remain accurate. We have now corrected the source data files by restoring the appropriate raw dataset for the Boyden chamber co-culture condition. The corrected source data are consistent with the originally reported results and do not affect the conclusions of the study.
A renewable cell source for cancer immunotherapy could make off-the-shelf treatments possible
In a paper published in Cell, a USC Stem Cell-led team reports a new way of generating a renewable and expandable supply of the progenitor cells that give rise to macrophages. These immune cells help drive the body’s response against pathogens, and they hold strong promise as the basis for immunotherapies against cancer and other diseases.
The paper, “Expansion and CAR Engineering of Granulocyte-Monocyte Progenitors for Cellular Immunotherapy,” demonstrates that progenitor cells known as granulocyte-monocyte progenitors (GMPs), which give rise to macrophages and other immune cells, can be extensively expanded in the laboratory and engineered both to target specific cancer markers and to help stimulate broader immune responses.
“The study establishes a scalable and engineerable GMP platform for cellular immunotherapy and introduces concepts that we believe could have broad implications for both cancer immunotherapy and stem cell biology,” said the paper’s corresponding author Qi-Long Ying, MD, Ph.D., professor of stem cell biology and regenerative medicine at the Keck School of Medicine of USC.
Abstract: Address correspondence to: Adam D
Bachstetter, Spinal Cord and Brain Injury Research Center, Department of Neuroscience, University of Kentucky, 741 S. Limestone Street, BBSRB Room B459, Lexington, Kentucky 40536–0509, USA. Phone: 859.218.4315; Email: adam.bachstetter@uky.edu.