TensorFlow Graphics: Computer Graphics Meets Deep Learning
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The most popular blog posts about ai & machine learning on Hacker News. 3,240 posts.
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.
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.
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…
From live events to hands-on product demos to deep technical research, see what we're doing with AI at Red Hat.
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…
The OpenPipe platform has migrated to Weights & Biases and CoreWeave. Browse migration details and the OpenPipe technical archive.
There is a lot of excitement around retrieval augmented generation or “RAG.” Roughly the idea is: some of the deficiencies in current generative AI or large language models (LLMs) can b…
Neuroscientists often use neural networks to model the kind of tasks the brain performs, in hopes that the models could suggest new hypotheses regarding how the brain itself performs those tasks. But a group of MIT researchers urges that more caution should be taken when interpreting these models.
Our pioneering speech generation technologies are helping people around the world interact with more natural, conversational and intuitive digital assistants and AI tools.
Karpathy's autoresearch runs one experiment at a time. We gave it access to our GPU infra and let it run experiments in parallel.
Demystifying code AI: Learn how Cody analyzes context, retrieves references, prompts models, and refines completions behind the scenes.
Machine learning algorithms pinpoint new materials 200 times faster than previously possible
Golang might just be the best language for building AI agents.
Coefficient has directed over $7 billion in grants since 2014. Our mission is to help others as much as we can with the resources available to us.
RedPajama-Data-v2 is a 30 trillion token open dataset from 84 CommonCrawl dumps across five languages, with over 40 precomputed quality annotations.
Training and deploying AI models is often associated with massive data centers or super computers, with good reason. The ability to continually process, create, and improve models from all kinds of information: images, video, text, and voice, at massive scale, is no small computing feat. Deploying these models on…
The IBM Research blog is the home for stories told by the researchers, scientists, and engineers inventing What’s Next in science and technology.
Benjamin Spector* , Jordan Juravsky* , Stuart Sul , Owen Dugan , Dylan Lim , Dan Fu , Simran Arora , Chris Ré
Posted by Sharan Narang and Aakanksha Chowdhery, Software Engineers, Google Research In recent years, large neural networks trained for language un...
Impactful scientific work requires working on the right problems—problems which are not just interesting, but whose solutions matter.
We are not adding generative AI to our apps. Here's why.