359 stories
Why AI Safety Needs Register Robustness The Language Problem AI Evaluation Is Missing An AI assistant should adapt to how people speak without changing its standards for accuracy, uncertainty, or …
In our #NeurIPS2026 paper “A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems (DS)” (preprint: https://arxiv.org/abs/2607.14937) we reduce a DS foundation model to the ingredients minimally necessary to faithfully reproduce long-term statistical and geometrical…
i work on reference checking stuff so i was reading through the ICLR 2027 author guidelines and style files this week the sample .bib that ships with the template has the Deep Learning book as "Goodfellow, Bengio, Courville, Bengio" plus a volume 1 that doesn't exist checked their github and it's…
Generative AI for Recommendations: what YouTube, Netflix and Meta are Moving to, Built From Scratch A build log on real Amazon data: Semantic IDs, a small Transformer that writes the next item, and a …
https://preview.redd.it/gkjgii48gfth1.png?width=575&format=png&auto=webp&s=4e1c35bdacf41d18a6409baedcddc9432ec79814 This happened over the past 30 days.
Build an Art Recommender from scratch with CLIP and ChromaDB Part I: Collecting the data A couple of years ago, as I was taking my first steps in the data science world, I had an idea and decided to …
I'm a PhD student in machine learning in the EU and was looking for internships at exciting companies.
Nonobench measures how well LLMs solve nonograms (picross). Each model gets the row and column clues once and returns the full grid. No tools, one attempt per puzzle. Method: - Standard mode: 30 puzzles from 5x5 to 15x15 (from the Nonograms dataset by Moyà-Alcover, CC BY 4.0).
Google Research has unveiled a federated learning system that moves gradient computation from phones into attested server-side TEEs. Access policies are published to Sigstore's Rekor log and the binaries are reproducibly buildable, so central differential privacy can be checked externally.
TMLR desk rejected two years of work/efforts. What could be the possible reason? No reason was given in the desk rejection. The work is related to continual motion generation.
"TypeSafe AI sells Jev as a frontier-class reasoner that cannot hallucinate, built by the co-inventor of ChatGPT - fast, and almost free. We ran it live on 16,379 benchmark requests, measured its latency and billing, and probed what it is underneath.
On the NeurIPS 2026 Dates site it says that there is 1 day remaining for the "Accepted papers must be imported" deadline. This is my first research paper ever and I couldn't find anything about how to do this on the internet. Could someone help me out on what to do?
I skipped the vendor tables and lined up the independent runs: 113 real coding tasks, four tries each, with the bill attached.Continue reading on Towards AI »
I recently finished The Principles of Diffusion Models, and honestly I think it’s exceptional.
Hearing, waiting, answering fast and knowing when to stop: the parts of a voice agent that make a call feel natural
I got my three papers to review, and it seems like they have changed the review score range again this year?
A voice agent that negotiates freight rates, ten scripted attacks, and the difference between “never crossed the limit” and “never gave the limit away”
AI agents guess when a question is vague. Two things help: write down your rules first, then add a separate check that asks.Continue reading on Towards AI »
Showing 162 of 359 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts
