Show HN: AI Peer Reviewer – Multiagent System for Scientific Manuscript Analysis
github.com
AtomVM, the Erlang virtual machine for IoT devices
atomvm.net
Photos taken inside musical instruments
dpreview.com
Acclimation of Osmoregulatory Function in Salmon
unm.edu
Webb telescope helps refines Hubble constant, suggesting resolution rate debate
phys.org
Show HN: I built an AI agent that turns ROS 2's turtlesim into a digital artist
github.com
Gradients Are the New Intervals
mattkeeter.com
Using lots of little tools to aggressively reject the bots
lambdacreate.com
The Book of Secret Knowledge
github.com
Ask HN: Anyone making a living from a paid API?
Show HN: Fontofweb – Discover Fonts Used on a Website or Websites Using Font(s)
fontofweb.com
Surprisingly fast AI-generated kernels we didn't mean to publish yet
crfm.stanford.edu
The ‘white-collar bloodbath’ is all part of the AI hype machine
cnn.com
Beating Google's kernelCTF PoW using AVX512
anemato.de
The Illusion of Causality in Charts
filwd.substack.com
Pure vs. Impure Iterators in Go
jub0bs.com
AccessOwl (YC S22) is hiring an AI TypeScript Engineer to connect 100s of SaaS
ycombinator.com
Web dev is still fun if you want it to be
github.com
Show HN: Icepi Zero – The FPGA Raspberry Pi Zero Equivalent
github.com
After personally seeing many researchers in fields like biology, materials science, and chemistry struggle to apply machine learning to their valuable domain datasets to accelerate scientific discovery and gain deeper insights, often due to the lack of specialized ML knowledge needed to select the right algorithms, tune hyperparameters, or interpret model outputs, we knew we had to help.
That's why we're so excited to introduce the new AutoML feature in Curie , our AI research experimentation co-scientist designed to make ML more accessible! Our goal is to empower researchers like them to rapidly test hypotheses and extract deep insights from their data. Curie automates the aforementioned complex ML pipeline – taking the tedious yet critical work.
For example, Curie can generate highly performant models, achieving a 0.99 AUC (top 1% performance) for a melanoma (cancer) detection task. We're passionate about open science and invite you to try Curie and even contribute to making it better for everyone!
Check out our post: https://www.just-curieous.com/machine-learning/research/2025...