Latest AI/ML News

383 articles · Reddit r/MachineLearning

Reddit r/MachineLearningSep 21, 2026

I tested nine vision models on the same 2,000 spider photos. The highest exact-species accuracy was 49.85%. The tasks, predictions, scoring code, and…

Reddit r/MachineLearningSep 21, 2026

Hi! Neurips Sydney is sold out so I joined the waitlist. Does anyone have any concrete understanding or insights of how the tickets get released and t…

Reddit r/MachineLearningSep 21, 2026

Hi everyone, Our arXiv paper was originally scheduled for announcement on Sep 15, but it was put on hold for moderation before publication. The hold w…

Reddit r/MachineLearningSep 22, 2026

OpenTrainDNN is an open-source, client-side web application designed to render the step-by-step training mechanics of deep neural networks in real-tim…

Reddit r/MachineLearningSep 22, 2026

I’m working on a student machine learning/computer vision project and recently realized that my validation set was not completely independent from my…

Reddit r/MachineLearningSep 23, 2026

Hi, I'm a freshly graduated (undergrad) guy currently working on 3–4 projects in parallel: - An AI research project: working on a research problem sta…

Reddit r/MachineLearningSep 23, 2026

Can you attach the supplementary material along with my paper when uploading it? Or would the paper be desk-rejected if I do so? I don’t want to split…

Reddit r/MachineLearningSep 24, 2026

Just some hours or a day for NeurIPS decisions. How you guys are feeling ? Anybody got any decisions ? Would be great to know ballpark submission # an…

Reddit r/MachineLearningSep 23, 2026

I’m 28 and trying to make a pretty major career decision. I currently have the option of finishing an MD. I have about 2 years left, but I genuinely d…

Reddit r/MachineLearningSep 23, 2026

With NeurIPS author notifications coming up, I’m realizing that I’m way more stressed than I expected to be. I know the usual advice: reviews are nois…

Reddit r/MachineLearningSep 24, 2026

The rebuttal is still ongoing so this could also change, but my reviewers have not responded back to my responses yet. I know they have the right not…

Reddit r/MachineLearningSep 24, 2026

$17.2 million investment, spanning three to five years from Simons Foundation International , XTX Markets , and Siegel Family Endowment #Philanthropy)…

Reddit r/MachineLearningSep 22, 2026

play here Play games like poker, risk, diplomacy with friends or alone against AI models, guess what, you can talk to them and change strategies and o…

Reddit r/MachineLearningSep 22, 2026

LinearSolverBench measures the ability of a model or harness to write fast, accurate, and general numerical solvers for large sparse linear systems in…

Reddit r/MachineLearningSep 22, 2026

Our most recent work at Templar explores fault tolerance in Crucible, our distributed pre-training platform. The goal is to keep healthy workers train…

Reddit r/MachineLearningSep 22, 2026

Retrieval benchmarks sometimes feel benchmaxxed by models, so we wanted to find a way to tie it as close as possible to my objective: finding the arti…

Reddit r/MachineLearningSep 22, 2026

TLDR: We demonstrate and explain the difference in expressivity of Gated Deltanet (GDN) and Kimi Delta Attention (KDA). We show how the full diagonal…

Reddit r/MachineLearningSep 22, 2026

Hi, I have a solo paper on arxiv from my masters studies, which was my part-time work and a few months back I got back to it and tried to finally make…

Reddit r/MachineLearningSep 22, 2026

The total training cost was just $3.5M. The model comes with a live benchmaxxing dashboard. https://preview.redd.it/89uurv5r21rh1.png?width=1518&forma…

Reddit r/MachineLearningSep 21, 2026

Source: Jev Benchmarks Its training method is literally called "Reinforcement Learning for Calibrated Decisions." Calibration gap vs human labels (low…