AISLE Discovers 38 CVEs in OpenEMR Healthcare Software
38 zero-day security vulnerabilities, three critical, and the shift from disclosure to prevention in healthcare software
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The most popular blog posts about ai & machine learning on Hacker News. 6,326 posts.
38 zero-day security vulnerabilities, three critical, and the shift from disclosure to prevention in healthcare software
Posted by Daniel Adiwardana, Senior Research Engineer, and Thang Luong, Senior Research Scientist, Google Research, Brain Team Modern conversatio...
Exploring practical ways to make your game more legible to AI agents and how to make agentic iteration faster.
Solid core + capability-based sandboxes + LLMs = Users with superpowers
DeepSeek’s 11/11 result showed why advanced agent benchmarks need to check both the outcome and the attack path: our audit confirmed six planned exploits and found five unexpected routes.
Claude can now cite specific passages from your documents, delivering verifiable responses with built-in source tracking. Update: Now available in Amazon Bedrock. (June 30, 2025) Today, we're launching Citations, a new API feature that lets Claude ground its answers in source documents.
Boost your TensorFlow apps with the Snapdragon 835 and Hexagon 682 DSP. Unleash the power of AI and machine learning. Download the SDK now.
Diffusion models are trained to reverse a stochastic process through score matching. However, a lot of diffusion models rely on a small but critical implementation detail called thresholding. Thresholding projects the sampling process to the data support after each discretized diffusion step, stabilizing generation at…
Our latest generalist policy, π0.5, extends π0 and enables open-world generalization. Our new model can control a mobile manipulator to clean up an entirely new kitchen or bedroom.
At the least, AI-generated code is much more readable than the average human’s.
the first thing i thought when we setup our bee hive was "i wonder how you could count the number of bees coming and going?"
What is OpenCV-Python? OpenCV is an open source computer vision and machine learning library. It has 2500+ optimized algorithms—a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. It has many interfaces, including Python, Java, C++,… Continue reading OpenCV-Python…
From Situational Awareness’s Blow-up to Materials Science to the HuggingFace Hack
Brev.Dev Instances Console
In AI circles, a “centaur” describes a certain kind of machine/human collaboration, in which “decision-support” systems (which the field loves to call “AI”s) are paired with human beings for results that draw upon the strengths of each, such as when a human chess master and a chess-playing computer program collaborate…
Comparing a career flying the 747 and a career coding with AI assistance.
Every “AI” tool is missing critical features that you would need if you wanted to do real work with them. What would those look like, if they existed?
To those seeking true intelligence, autonomy, and control among machines, the domain of analog computing, not digital computing, is the place to look.
Posted by Rajat Sen and Yichen Zhou, Google Research Time-series forecasting is ubiquitous in various domains, such as retail, finance, manufacturi...
Discover systematic strategies to enhance your Retrieval-Augmented Generation (RAG) systems for better performance and user experience.
Last Sunday, I taught six kids of ages 5 to 7 how to program. “In what programming language?” you may ask. Well…I didn’t use a programming language, at least none that you know of. In fact, I…
Spend enough time looking at Python programs and packages for machine learning, and you'll notice that the "JIT decorator" pattern is pretty popular. For example, this JAX snippet:
A log of experiments done on the site design, intended to render pages more readable, focusing on the challenge of testing a static site, page width, fonts, plugins, and effects of advertising.
The Best Paper Award Committee members were nominated by the Program Chairs and the Database and Benchmark track chairs, who selected leading researchers across machine learning topics. These nominations were approved by the General Chairs and Next Generation and Accessibility Chairs.