# deep neural networks (blogs) — RSS Amplifier Recent posts from the 6 feeds in the RSS Amplifier directory that cover deep neural networks. Page: Feed: --- ## [Elon Musk is the world s first Trillionaire after SpaceX IPO](https://www.fanaticalfuturist.com/2026/06/elon-musk-is-the-world-s-first-trillionaire-after-spacex-ipo/) _2026-06-13 · Matthew Griffin · Matthew Griffin | Keynote Speaker & Master Futurist_ SpaceX's market debut jumped 19% on day one, lifting Elon Musk's fortune past $1 trillion and making him the world's first trillionaire, according to the Bloomberg index. The post Elon Musk is the world s first Trillionaire after SpaceX IPO appeared first on Matthew Griffin | Keynote Speaker & Master Futurist . ## [This new Chinese re-configurable processor gives AI a performance boost](https://www.fanaticalfuturist.com/2026/06/this-new-chinese-re-configurable-processor-gives-ai-a-performance-boost/) _2026-06-07 · Matthew Griffin · Matthew Griffin | Keynote Speaker & Master Futurist_ Researchers at the Hong Kong University of Science and Technology have built ReAAP, a reconfigurable processor that pairs a smart software compiler with adaptable hardware to run deep neural networks up to 5.7x faster than a leading GPU and 3.3x faster than an ARM CPU. The post This new Chinese re-configurable processor gives AI a performance boost appeared first on Matthew Griffin | Keynote… ## [Printed artificial neurons that mimic brain cells could slash AI energy bills](https://www.fanaticalfuturist.com/2026/06/printed-artificial-neurons-that-mimic-brain-cells-could-slash-ai-energy-bills/) _2026-06-06 · Matthew Griffin · Matthew Griffin | Keynote Speaker & Master Futurist_ Northwestern University researchers jet-printed flexible artificial neurons that fire like real brain cells - realistic enough to trigger live mouse neurons - pointing toward neuromorphic chips that could one day cut the punishing energy cost of AI. The post Printed artificial neurons that mimic brain cells could slash AI energy bills appeared first on Matthew Griffin | Keynote Speaker & Master… ## [Passion for software in the age of AI](https://maxliani.wordpress.com/2026/05/11/passion-for-software-in-the-age-of-ai/) _2026-05-11 · Max Liani · Art, Tech and other Nonsense_ We are all using AI, marvelling at it one minute, scowling at it the next, but can we be passionate about something we didn't make? ## [Stabilizing Deep Neural Networks by Staying Close to the Identity](https://jwuphysics.github.io/posts/2026/01/stabilizing-deep-neural-networks/) _2026-01-24 · John F. Wu · jwuphysics_ Deep neural networks can be thought of as compositions of many simple transformations, each represented by a layer with trainable parameters. When the number of layers is large, the effect of multiplying many random matrices becomes exponentially unstable, i.e. they can grow or shrink exponentially. This is the primary reason that naive initialization leads to exploding or vanishing signals for… ## [Learning with LLMs](https://jwuphysics.github.io/blog/2025/12/learning-with-llms/) _2025-12-05 · John F. Wu · jwuphysics_ AI is here, and its impacts on education cannot be overstated. Let’s put aside the issues of cheating; I assume that you want to learn, perhaps with the assistance of LLMs if they are actually helpful. But how do you know you’re not using AI as a crutch, versus using it to augment learning? The former setting outsources your thinking to AI, whereas the latter can help you reveal gaps in your… ## [Re-envisioning Euclid Galaxy Morphology](https://jwuphysics.github.io/blog/2025/10/euclid-galaxy-morphology/) _2025-10-29 · John F. Wu · jwuphysics_ With the Euclid and Roman Space Telescope missions ready to image billions of galaxies, we’ll need data-driven methods to find new, rare phenomena that exist outside human-defined taxonomies! Sparse Autoencoders (SAEs) can be that discovery engine, surfacing interpretable features in modern galaxy surveys. This blog post highlights some preliminary results from our tiny NeurIPS ML4PS workshop… ## [Galaxy environments and graph neural networks](https://jwuphysics.github.io/blog/2025/07/gnns-galaxy-environments/) _2025-07-31 · John F. Wu · jwuphysics_ This post discusses how graph neural networks (GNNs) can model the galaxy–halo connection within its large-scale surroundings. Dark matter structures, which seem to account for most of the mass in the Universe, can be represented as nodes in a cosmic graph. But dark matter—which solely interacts via gravitation—is also much easier to simulate than the messy baryons, whose magnetohydrodynamics are… ## [Clear Vision, Clear Communications](https://jwuphysics.github.io/blog/2025/07/clear-vision/) _2025-07-10 · John F. Wu · jwuphysics_ The Eleven Laws of Showrunning by Javier Grillo-Marxuach is full of useful advice for management and operations. Nominally, it’s about how to deliver a television show, from ideation to writing to production to postproduction, but there’s a ton of guidance that’s surprisingly relevant for working with large language models (LLMs). ## [Worlds we impose](https://jwuphysics.github.io/blog/2025/06/worlds-we-impose/) _2025-06-18 · John F. Wu · jwuphysics_ In the book Impro: Improvisation and the Theatre, Keith Johnstone recounts a moment between a teacher and a special needs student. The teacher holds up a flower and says, “Look at the pretty flower.” The girl responds, “All of the flowers are beautiful.” Then the teacher gently says, “but this flower is especially beautiful.” The girl proceeds to scream and thrash about violently. ## [Crypto Payments, No Custody (Sponsored)](https://crawlproof.com/a/jX5u1uBVi2zz) _2025-06-17 · **Sponsored**_ Send crypto to merchant wallets via API with real-time updates and automatic fees. ## [Graph neural networks in astrophysics](https://jwuphysics.github.io/blog/2025/06/graph-neural-networks-in-astrophysics/) _2025-06-09 · John F. Wu · jwuphysics_ Many physical phenomena exhibit relational inductive biases and can be represented as mathematical graphs. In recent years, graph neural networks (GNNs) have been successfully used to model and learn from astronomical data. This post provides an introductory review to GNNs for astrophysics. ## [What a month of blog analytics taught me about social media platforms](https://jwuphysics.github.io/blog/2025/06/blogging-social-media/) _2025-06-02 · John F. Wu · jwuphysics_ If you’re a blogger or researcher sharing your work online, you’ve probably wondered: is social media actually useful for disseminating your writing? I’ve been asking myself this question since returning to blogging just over a month ago. ## [The benefits of slow growth, misguided rabbit holes, and painful mistakes](https://jwuphysics.github.io/blog/2025/05/slow-growth-rabbit-holes/) _2025-05-25 · John F. Wu · jwuphysics_ I am a self-confessed productivity junkie. I hate wasting time. And if you scroll through social media, or even my blog posts, you might think that the typical research or learning process is just a happy, monotonic hill climb, capped off with regular announcements of new discoveries or gained expertise. But what if the most important lessons emerge not from unencumbered progress, but rather from… ## [Foundation Models in Astronomy](https://jwuphysics.github.io/blog/2025/05/foundation-models-in-astronomy/) _2025-05-16 · John F. Wu · jwuphysics_ Here’s a casual introduction to foundation models and how they might impact astronomy research in the coming years. I’m writing this on the train back from New York to Baltimore, having just wrapped up the Foundation Models in Astronomy workshop at the Flatiron Institute Center for Computational Astrophysics. My co-organizers and I are planning to write up a more comprehensive blog post based on… ## [Mesh Edge Construction](https://maxliani.wordpress.com/2025/03/01/mesh-edge-construction/) _2025-03-02 · Max Liani · Art, Tech and other Nonsense_ I present algorithms to compute unique edges in a polygonal mesh. ## [Trying ChatGPT on an undergrad physics problem](https://heteroskedasticblog.wordpress.com/2024/10/08/trying-chatgpt-on-an-undergrad-physics-problem/) _2024-10-08 · heteroskedasticblog · Heteroskedastic_ Here s a fun question I had this week: how much energy loss does a vacuum pump incur for a plasma-chemical reactor? I m doing all my calculations in terms of energy consumed in electron-volts per molecule. The reactor operates at 10mbar. I wanted to get a practical value, rather than theoretical, so I looked up a Continue reading Trying ChatGPT on an undergrad physics problem