RememberboxA text-first reading library | Saved | 751 |
|---|---|---|
| Page | 21 |
2026-03-14
| Article | Read |
|---|---|
| Increasing intelligence in AI agents can worsen collective outcomes When resources are scarce, will a population of AI agents coordinate in harmony, or descend into tribal chaos? Diverse decision-making AI from different developers is entering everyday devices -- from phones and medical devices to battlefield drones and cars -- and these AI agents typically compete for finite shared resources such as charging slots, relay bandwidth, and traffic priority. Yet their collective dynamics and hence risks to users and society are poorly understood. Here we study AI-ag | |
| Atoms Atoms builds physical automation for food, mining, and transport — transforming industry and moving the world. | |
| Estimating $π$ with a Coin We describe a simple Monte Carlo method for estimating $π$ by tossing a coin. Although the underlying Catalan-number series identities appear implicitly in the probability theory literature, the interpretation of $\fracπ{4}$ presented here seems to be new. |
2026-03-13
| Article | Read |
|---|---|
| Homeopathic dilutions In homeopathy, homeopathic dilution (known by practitioners as "dynamisation" or "potentisation") is a process in which a substance is diluted with alcohol or distilled water and then vigorously shaken in a process called "succussion". Insoluble solids, such as quartz and oyster shell, are diluted by grinding them with lactose (trituration). The founder of homeopathy, Samuel Hahnemann (1755–1843), asserted that the process of succussion activated the "vital energy" of the diluted substance,[1] a |
2026-03-11
| Article | Read |
|---|---|
| Fungal electronics Fungal electronics is a family of living electronic devices made of mycelium bound composites or pure mycelium. Fungal electronic devices are capable of changing their impedance and generating spikes of electrical potential in response to external control parameters. Fungal electronics can be embedded into fungal materials and wearables or used as stand alone sensing and computing devices. |
2026-03-10
2026-03-09
| Article | Read |
|---|---|
| A* search algorithm A* (pronounced "A-star") is a graph traversal and pathfinding algorithm that is used in many fields of computer science due to its completeness, optimality, and optimal efficiency.[1] Given a weighted graph, a source node and a goal node, the algorithm finds the shortest path (with respect to the given weights) from source to goal. |
2026-03-08
| Article | Read |
|---|---|
| GitHub - astroautomata/SymTorch: Deep Learning Interpretability with Symbolic Regression Deep Learning Interpretability with Symbolic Regression - astroautomata/SymTorch | |
| GitHub - vulhunt-re/vulhunt: Vulnerability detection framework by Binarly's REsearch team Vulnerability detection framework by Binarly's REsearch team - vulhunt-re/vulhunt | |
| GitHub - bbenchoff/OrthoRoute: OrthoRoute: A GPU-accelerated PCB autorouter for KiCad OrthoRoute: A GPU-accelerated PCB autorouter for KiCad - bbenchoff/OrthoRoute | |
| GitHub - agentjido/jido: 🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows. 🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows. - agentjido/jido | |
| Model guidance | OpenAI API Compare model features, migration guidance, and prompting best practices across OpenAI models. | |
| GitHub - karpathy/autoresearch: AI agents running research on single-GPU nanochat training automatically AI agents running research on single-GPU nanochat training automatically - karpathy/autoresearch | |
| GitHub - YaoZ720/SwarmAgenticCode: The official code for SwarmAgentic. The official code for SwarmAgentic. . Contribute to YaoZ720/SwarmAgenticCode development by creating an account on GitHub. |
2026-03-07
| Article | Read |
|---|---|
| Optimizing the GPU kernel — CUDA training materials documentation In this part of the workshop, we are going to investigate how the individual kernel can take advantage of all the features provided by GPU. As an example, we are going to use the reduction problem. Consider a vector of N elements that contains floating point numbers from 0 to 1. The task is to compute the sum of all the elements in the vector. The basic approach in a serial code is to designate a single floating point variable and add elements to it one by one in a loop. Thus, on each iteration, |
2026-03-05
| Article | Read |
|---|---|
| Differential Equations - Partial Differential Equations In this chapter we introduce Separation of Variables one of the basic solution techniques for solving partial differential equations. Included are partial derivations for the Heat Equation and Wave Equation. In addition, we give solutions to examples for the heat equation, the wave equation and Laplace’s equation. |
2026-03-04
| Article | Read |
|---|---|
| Algorithms Books | |
| Agents UI | Build beautiful voice AI Agents UI is LiveKit's open source component library built with React and shadcn for designing voice agent interfaces. |
2026-03-03
| Article | Read |
|---|---|
| GitHub - maderix/ANE: Training neural networks on Apple Neural Engine via reverse-engineered private APIs Training neural networks on Apple Neural Engine via reverse-engineered private APIs - maderix/ANE | |
| Inside the M4 Apple Neural Engine, Part 2: ANE Benchmarks Measuring the real performance of Apple's neural accelerator | |
| Inside the M4 Apple Neural Engine, Part 1: Reverse Engineering How we bypassed CoreML and talked directly to the hardware |