Machinelearning
50 items across the graph · 33 news stories — tagged with Machinelearning.
Latest news
ICONIP 2026 — what happens if the sole author cannot attend in person? [D]
Hi everyone 👋 My paper was recently accepted to ICONIP 2026, but I’m the sole author and most likely won’t be able to attend the conference in person due to work commitments. I’m trying to understand what options might be available before I contact the organizers. Has anyone here attended or published at ICONIP in pre…
Read full story →More news · 32
Evidence-based governor for coding agents — looking for people to try it and constructive feedback [P]
Read full story →Open-source Python library + no-code web dashboard for evaluating oncology AI models at clinical decision thresholds. [P]
Most classification metrics for oncology AI models (AUC, ICC, MAE) measure global agreement. They don't answer the question that actually matters at the point of care: how reliable is this model at the exact cutoff that decides whether a patient gets flagged, biopsied, or treated…
Read full story →I implemented the YOLO26n model inference from scratch using ARM64 Assembly Language (No framework) [P]
Read full story →Prompt Injection in NeurIPS 2026? [D]
The reviews were just released, and I downloaded my paper from OpenReview to identify areas that needed improvement. However, GPT warned me that the PDF contained a prompt injection. I never inserted such a prompt. After comparing my original submission with the version downloade…
Read full story →NeurIPS 2026 Reviews Are Out Today (22 July, AoE) — Discussion Thread [D]
Reviews drop today. This thread is for reactions, celebrations, commiserations, and anything useful in between. First: if you got good reviews, say so. There's a norm in these threads where only the bad news gets aired, and it skews everyone's sense of what's normal. Post your wi…
Read full story →Neurips reviews are out: what next? [D]
I apologize for being out of it for so long... in the past, I'd usually let some eager beaver colleague handle the back-and-forth with reviewers, ACs, etc. But alas this time I'm all alone. I submitted a couple of papers to Neurips and just got the reviews today. I'm wondering wh…
Read full story →Fable 5 solved one of the most famous problems in Algebraic Geometry [R]
Read full story →Follow up: GPT-2's vocabulary as a hyperbolic tree — 32,070 tokens in a Poincaré ball you can fly through [P]
Read full story →Open-sourcing a two-stage prompt-injection detector (regex gate + quantised DeBERTa-v3 ONNX), trained partly on real attacks from a game I ran [P]
I built a prompt-injection detector for LLM inputs and I've open-sourced the whole thing - code, weights, and the dataset. The design is two stages. A regex layer (around 430 patterns, plus a decode-then-scan step for base64/ROT13/leetspeak) settles the easy majority of traffic i…
Read full story →Passing the Swedish Medical Licensing Exam by Post-Training Open-Weight LLMs with SFT and RLVR [P]
submitted by /u/AccomplishedCat4770 [link] [comments]
Read full story →Most AI agents have no concept of opportunity cost [D]
One thing that's been bugging me is how casually a lot of agents use tools. Every tool call adds something. More latency. Another thing that can fail. More context to carry around. I've seen agents call five or six tools for work that probably could've been done with two. It made…
Read full story →Tried testing qwen 35b moe model on s26 ultra , without compromising on precision [R] ,[D]
Started testing a private qwen 35B moe capacity LLM runtime on s26 ultra, early testing shows that active model footprint can fit within the device’s memory limits.( not sharing the methods or architecture used) and results suggest roughly 90 input processing t/s achievable after…
Read full story →Can someone review my project? [R]
Hello, I recently finished writing my first paper (draft). Could someone read through it (skim or in-depth), and possibly give me comments/suggestions if I want it to get accepted to conferences? You can DM me for the paper, it is training an elbow exoskeleton controller for Park…
Read full story →I tried to give an LLM room to think. This is where it led. [P]
A little over a year ago I wasn’t trying to build a cognitive architecture. I was trying to solve one problem. I wanted to give an LLM room to think beyond a single prompt. That one idea ended up leading somewhere I never expected. Every time I solved one problem, another one sho…
Read full story →What field to choose for diving deep into AI research? [D]
My question is which part of AI I should enter for research. I have explored a bit of topological data analyis and neurosymbolic ai but I am not sure yet. So far I have implemented deep learning from attention, transformer, RoPE, RMSNorm, GQA, flashattention, in fact i created a…
Read full story →Are Current AI Memory Architectures Optimizing for the Wrong Abstraction? [D]
While writing an essay about AI memory and persistent context, I started wondering whether current AI memory systems are optimized for the right thing. Current AI systems already maintain forms of persistent context through saved memories, conversation summaries, user preferences…
Read full story →Predicting human preference for generated image pairs using HPSv3 [P]
Hey! I'm looking for ways to predict human preference for a project I'm building. (imagebench.ai) I've tryed HPSv3 , https://github.com/MizzenAI/HPSv3 and made post about it here: https://imagebench.ai/blog/does-the-score-match-your-eye It looks ok, but have many limitation as yo…
Read full story →Journals vs Conferences ML Research [R]
Lately in the last two/three years, I have noticed ICML, Neurips becoming more prestigious than the actual journals. What is the actual reason of this culture? Is this due to the AI boom and rising demand and the fact that conferences have a higher and a faster acceptance rate as…
Read full story →Edge AI ASL Recognition on Raspberry Pi 5 – Looking for Feedback on My System Design [P]
I'm implementing an offline ASL recognition system on Raspberry Pi 5 using MediaPipe hand landmarks and TensorFlow Lite. The system recognizes the ASL alphabet and converts it to text and speech without an internet connection. My current pipeline is: MediaPipe (21 hand landmarks)…
Read full story →CPU TTS benchmark with UTMOS MOS scoring: Kokoro, Supertonic, Inflect-Nano, and Kyutai's new Pocket TTS [P]
Sharing a CPU TTS benchmark with objective MOS scores in case it's useful for anyone evaluating small TTS models. Adding this because Kyutai's Pocket TTS is architecturally different from the others in the field and I hadn't seen a head-to-head with it yet. Models: Kokoro 82M (Py…
Read full story →A trained fast-weight memory: a 3M-param transformer installs never-trained rules at inference, forward-only — where test-time training transfers nothing (single RTX 3090, fully reproducible) [R]
Read full story →Question regarding Xournal++ and software 4 taking university notes during class [D]
Hi. I have a question, could this plan and pipeline work?. I will be attending university master's classes on AI (thankfully got accepted a few days ago) and computers in a few months. There will be university lectures on machine learning, computer vision, robotics, video games a…
Read full story →Fun Game - https://numdle-game.pages.dev/ [P]
Number guessing game where you can test who is better the AI or humans. 🚀 🧐 Made with the RL Research model where the agent and you get seven questions to guess a number between 1 and 1000. Numdle submitted by /u/Kooky_Golf2367
Read full story →Hamiltonian Neural Networks from a Differential Geometry Perspective [D]
Read full story →Improving machine-translated novels via style transfer — looking for advice on the faithfulness/fluency tradeoff [P]
Hey all. I recently started working on a project to improve machine-translated webnovels via style transfer. The basic idea is to take the clunky translated prose and rewrite it to something that reads like it was written by a professional author, while remaining as faithful as p…
Read full story →Looking for feedback on a small test SLM I built completely from scratch [P]
Architecture: - Parameter count: 216.5M - Layers: 10 - Attention / no attention:** Attention — 12-head multi-head self-attention, RoPE positional encoding, SDPA. Decoder-only, pre-norm, RMSNorm + SwiGLU, tied input/output embeddings. (hidden 1032, head_dim 86, FFN 4416) - Tokeniz…
Read full story →Making Optimization Work When Labels Are Scarce [R]
https://www.gnosyslabs.com/case-studies/safety-classifier-sparse-labels Gnosys is an autonomous model engineer: it improves prompts and classifiers when ground truth is too sparse for conventional optimization. On ToxicChat, a public safety benchmark, under realistic label scarci…
Read full story →Google's Agentic Peer-Reviewer Handled ~10K Papers at ICML/STOC — Formal Research Paper Now Out [R]
Google deployed an agentic AI peer-reviewer at two top CS conferences — reviewing ~10,000 papers with 30-minute turnaround — and the new formal research paper shows it catches 34% more mathematical errors than zero-shot prompting; the precedent for AI-automated scientific review…
Read full story →[D] Looking for people serious about ML, DL & DSA 🚀[D]
I recently started a Telegram community called The Daily Commit. The goal is simple: stay consistent and hold each other accountable. What we do: 🧠 Share what we learned every day. ❓ Discuss ML, DL & DSA doubts. 📚 Share quality resources. 🚀 Build projects together. 💪 Stay con…
Read full story →Kicking off GPU Mode [D]
Hey ! I’m starting a series to document my work on GPU infrastructure, LLMs, and CV. Stop #1 is up: A brief look at why GPUs are the center of the industry, the CPU/GPU divide, and why nvidia-smi is the first place you check when things break. We’ll move past the basics quickly t…
Read full story →High Dimensional, Dynamic Rotary Positional Embedding [P]
At the end
Read full story →How're you deploying LLMs in production now-a-days? What's the best and most affordable way? [D]
I've been developing an AI product using LLM APIs (from OpenRouter) but want to deploy an open-source LLM in my own Prod env. which I can control. Few reasons behind this are: - I wanna own the complete stack around my product. - Second I wanna fine-tune the model around my useca…
Read full story →From the graph · 17
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Visualizer for neural network, deep learning and machine learning models
NSFW detection on the client-side via TensorFlow.js
The machine learning toolkit for time series analysis in Python
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qu…
Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts buil…
A general classifier module to allow Bayesian and LSI classifications.
A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:
A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create…
The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Q…
Dynamic detection of likely invariants
Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates an…
Data science for beginners involves learning to extract insights from data using statistics, programming (Python/R), and visualization. Key steps include data c…
A curated collection of AI learning materials
Welcome to the Multiverse of Data Science — a comprehensive, ever-expanding collection of over 100 real-world projects covering the entire data science pipeline…
Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)
DagsHub client libraries
