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Engineers grow ‘high-rise’ 3D chips, enabling more efficient AI hardware

The electronics industry is approaching a limit to the number of transistors that can be packed onto the surface of a computer chip. So, chip manufacturers are looking to build up rather than out.

Instead of squeezing ever-smaller transistors onto a single surface, the industry is aiming to stack multiple surfaces of transistors and semiconducting elements—akin to turning a ranch house into a high-rise. Such multilayered chips could handle exponentially more data and carry out many more complex functions than today’s electronics.

A significant hurdle, however, is the platform on which chips are built. Today, bulky silicon wafers serve as the main scaffold on which high-quality, single-crystalline semiconducting elements are grown. Any stackable chip would have to include thick silicon “flooring” as part of each layer, slowing down any communication between functional semiconducting layers.

How A.I. Could Change Science Forever

It’s getting harder to harder to ignore the potential disruptive power of AI in research. Scientists are already using AI tools but could the future lead to complete replacement of humans? How will our scientific institutions transform? These are difficult questions but ones we have to talk about in today’s episode.

Written, presented \& edited by Prof. David Kipping.

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THANK-YOU to T. Widdowson, D. Smith, L. Sanborn, C. Bottaccini, D. Daughaday, S. Brownlee, E. West, T. Zajonc, A. De Vaal, M. Elliott, B. Daniluk, S. Vystoropskyi, S. Lee, Z. Danielson, C. Fitzgerald, C. Souter, M. Gillette, T. Jeffcoat, J. Rockett, D. Murphree, M. Sanford, T. Donkin, A. Schoen, K. Dabrowski, R. Ramezankhani, J. Armstrong, S. Marks, B. Smith, J. Kruger, S. Applegate, E. Zahnle, N. Gebben, J. Bergman, C. Macdonald, M. Hedlund, P. Kaup, W. Evans, N. Corwin, K. Howard, L. Deacon, G. Metts, R. Provost, G. Fullwood, N. De Haan, R. Williams, E. Garland, R. Lovely, A. Cornejo, D. Compos, F. Demopoulos, G. Bylinsky, J. Werner, S. Thayer, T. Edris, F. Blood, M. O’Brien, D. Lee, J. Sargent, M. Czirr, F. Krotzer, I. Williams, J. Sattler, B. Reese, O. Shabtay, X. Yao, S. Saverys, A. Nimmerjahn, C. Seay, D. Johnson, L. Cunningham, M. Morrow, M. Campbell, B. Devermont, Y. Muheim, A. Stark, C. Caminero, P. Borisoff, A. Donovan, H. Schiff, J. Cos, J. Oliver, B. Kite, C. Hansen, J. Shamp, R. Chaffee, A. Ortiz, B. McMillan, B. Cartmell, J. Bryant, J. Obioma, M. Zeiler, S. Murray, S. Patterson, C. Kennedy, G. Le Saint, W. Ruf, A. Kochkov, B. Langley, D. Ohman, P. Stevenson, T. Ford \& T. Tarrants.

REFERENCES
► Smith \& Geach 2024, \

Charter school is replacing teachers with AI

This will really start to pick up now.


An Austin-based national charter school network offers K-12 students an AI-guided education. Operating under a model called “2 Hour Learning,” a company of the same name advertises accelerated pace, app-based classes designed to teach students at “2X” the speed of a traditional classroom, whatever that means. Parents are promised that the system works for 80–90 percent of children, and that students consistently rank in the NWEA’s 90th percentile. Apart from generating top-ranking national standardized test takers, however, one of 2 Hour Learning’s other explicit goals is the removal of teachers from classrooms.

“Imagine starting a school and declaring, ‘We won’t have any academic teachers.’ We did exactly that!” reads a portion of the company’s white paper.

TIMELAPSE OF FUTURE TECHNOLOGY 3 (Sci-Fi Documentary)

This timelapse of future technology, the 3rd year of the video series, goes on a journey exploring the human mind becoming digital. Brain chips turn memories and thoughts into data; could this data be sent out into space to live in the cosmos encoded into the magnetic fields between stars.

Other topics covered in this sci-fi documentary video include: bio-printing, asteroid habitats, terraforming Mars, the future of Teslabots, lucid dreaming, and the future of artificial intelligence and brain to computer interfaces (BCI — brain chips).

PATREON
The first and second volumes of ‘The Encyclopedia of the Future’ are now available on my Patreon.

Visit my Patreon here: / venturecity.

Created by: Jacob B
Narration by: Alexander Masters.

Addition footage: NASA’s Goddard Space Flight Center/CI Lab.

“Life Will Get Weird The Next 3 Years!” — Future of AI, Humanity & Utopia vs Dystopia | Nick Bostrom

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Welcome to Impact Theory, I’m Tom Bilyeu and in today’s episode, Nick Bostrom and I dive into the moral and societal implications of AI as it becomes increasingly advanced.

Nick Bostrom is a leading philosopher, author, and expert on AI here to discuss the future of AI, its challenges, and its profound impact on society, meaning, and our pursuit of happiness.

We touch on treating AI with moral consideration, the potential centralization of power, automation of critical sectors like police and military, and the creation of hyper-stimuli that could impact society profoundly.

We also discuss Nick’s book, Deep Utopia, and what the ideal human life will look like in a future dominated by advanced technology, AI, and biotechnology.

Our conversation navigates through pressing questions about AI aligning with human values, the catastrophic consequences of powerful AI systems, and the need for deeper philosophical and ethical considerations as AI continues to evolve.

Rare Brain Cells Offer Clues to Aging and Rejuvenation

Summary: A study reveals how brain cell interactions influence aging, showing that rare cell types either accelerate or slow brain aging. Neural stem cells provide a rejuvenating effect on neighboring cells, while T cells drive aging through inflammation. Researchers used advanced AI tools and a spatial single-cell atlas to map cellular interactions across the lifespan in mice.

This work sheds light on how interventions, such as enhancing neural stem cells, might combat neurodegeneration. By understanding these cellular dynamics, scientists can explore tailored therapies to slow aging and promote brain resilience. The findings also offer insights into conditions like Alzheimer’s disease, highlighting the importance of cell-to-cell interactions.