Understanding what graph neural networks can learn, especially their ability to learn to execute algorithms, remains a central theoretical challenge. In this work, we prove exact learnability results for graph algorithms under bounded-degree and finite-precision constraints. Our approach follows a two-step process. First, we train an ensemble of multi-layer perceptrons (MLPs) to execute the local instructions of a single node. Second, during inference, we use the trained MLP ensemble as the update function within a graph neural network […]

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Questions for developers: “What’s the one area you’re afraid to touch?” “When’s the last time you deployed on a Friday?” “What broke in production in the last 90 days that wasn’t caught by tests?” Questions for the CTO/EM: “What feature has been blocked for over a year?” “Do you have real-time error visibility right now?” “What was the last feature that took significantly longer than estimated?” Questions for business stakeholders: “Are there features that got quietly turned off […]

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The Big Announcement On April 6, 2026, Ben Sigman, CEO of Bitcoin lending platform Libre Labs and self-described friend of Jovovich, posted on X announcing MemPalace, an open-source AI memory system built with Claude. The pitch was ambitious. From Sigman’s launch post: “My friend Milla Jovovich and I spent months creating an AI memory system with Claude. It just posted a perfect score on the standard benchmark — beating every product in the space, free or paid.” The […]

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Sponsor content from IBM.

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arXiv:2603.08717v1 Announce Type: new Abstract: AI-enabled Radio Access Networks (AI-RANs) are expected to serve heterogeneous users with time-varying learning tasks over shared edge resources. Ensuring equitable inference performance across these users requires adaptive and fair learning mechanisms. This paper introduces an online-within-online fair multi-task learning (OWO-FMTL) framework that ensures long-term equity across users. The method combines two learning loops: an outer loop updating the shared model across rounds and an inner loop rebalancing user priorities within each round […]

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Hi everyone! I want to start a project where I train my model on Unity with Reinforcement Learning algorithms. It’s not going to be physics learning like learning to walk, but more like decision making. I am a software engineering student, where do you recommend me to start learning, do you have any suggested sources? Please guide meee!!! submitted by /u/santafarian [link] [comments]

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The life of a prescription at Amazon Pharmacy From pricing estimation and regulatory compliance to inventory management and chatbot assistants, machine learning models help Amazon Pharmacy customers stay healthy and save time and money. Conversational AI Alexandre Alves Anita Vila September 30, 01:32 PM October 02, 11:42 AM Pharmacies play a vital role in ensuring patients health, but the process of dispensing medications is far more complex than it may appear. At Amazon Pharmacy, we are using artificial […]

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‘’Marketing Doesn’t Work’’ -Sam Ovens, in a Marketing Video from 2018 It might seem like a great idea to charge between 1,000 – 10,000 dollars for info that is already available for free online to everyone. (Yes, I’ve bought a few of these – some of them yummy, some less so…) You just package it nicely and feed it to people who think they need what you promise & are too lazy to even complete the course after […]

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