Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,329 posts.
In May 2015, Google Cloud introduced Preemptible VM instances to dramatically change how you think about (and pay for) computational resources for high-throughput batch computing, machine learning, scientific and technical workloads. Then last year, we introduced lower pricing for Local SSDs attached to Preemptible…
Discover how to build a bubble sheet multiple choice scanner and test grader using Optical Mark Recognition (OMR) along with Python, OpenCV, computer vision
If an algorithm is the death of high school English, maybe that's an okay thing.
Today morning, I came across this reddit post titled Completely losing interest in the career due to AI and AI-pilled people. They describe how in a span of ...
We don’t need an extra reason to be anxious
Insights from Googlers into our products, technology, and the Google culture
Server deployment, parallel requests with continuous batching, new REST API endpoint, and refreshed application UI
A new analysis from OpenAI reveals issues in SWE-Bench Pro, a popular coding benchmark, raising concerns about reliability and accuracy in evaluating AI models.
We articulate a vision of artificial intelligence (AI) as normal technology . To view AI as normal is not to understate its impact—even transformative, general-purpose technologies such as electricity and the internet are “normal” in our conception. But it is in contrast to both utopian and dystopian visions of the…
Stephen Wolfram explores minimal models and their visualizations, aiming to explain the underneath functionality of neural nets and ultimately machine learning.
Training the car to do self-parking using a genetic algorithm
Novel view reconstructions for (right) our method and (left) conventional 3D Gaussian Splatting with random initializations. Our method, even with random initialization, faithfully reconstructs the scene (e.g.. buildings at the back and the ground texture) providing much higher quality renderings.
Posted by Julien Valentin and Sofien Bouaziz
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
Nvidia is in the valley in terms of gaming, the data center, and the omniverse; if it makes it to future heights its margins will be well-earned.
How Cloudflare uses generative AI to slow down, confuse, and waste the resources of AI Crawlers and other bots that don’t respect “no crawl” directives.
Plus Fly’s new Sprites.dev addresses both developer sandboxes and API sandboxes at the same time
Little Bobby Tables has a baby sister. Meet Sally Ignore Previous Instructions.
Introducing SIMA 2, the next milestone in our research creating general and helpful AI agents. By integrating the advanced capabilities of our Gemini models, SIMA is evolving from an instruction-follower into an interactive gaming companion.
Computer vision applications are transforming manufacturing, from defect detection to predictive maintenance. Learn computer vision strategies from industry leaders.
Iterations on revealing recurring patterns of thought, feeling, and behavior
Technical AI safety is a multifaceted area of research, with many sub-questions in areas such as reward learning, robustness, and interpretability. These will all need to be answered in order to make sure AI development will go well for humanity as systems become more and more powerful. Not all of these questions are…
Over the past few weeks I’ve been dabbling with deep learning, in particular convolutional neural networks . One standout paper from recent times is Google’s Multi-digit Number Recognition from Street View . This paper describes a system for extracting house numbers from street view imagery using a single end-to-end…
From live events to hands-on product demos to deep technical research, see what we're doing with AI at Red Hat.
A simple guide to what CNNs are, how they work, and how to build one from scratch in Python.
The field of machine learning and artificial intelligence is making rapid progress. Many people are starting to ask what a world with intelligent computers will look like. But what is the ratio of hype to real progress? What kinds of problems have been well solved by current machine learning techniques, which ones are…
