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The most popular blog posts about ai & machine learning on Hacker News. 3,242 posts.
Neural network-based models continue to achieve impressive results on longstanding machine learning problems, but establishing their capacity to reason about abstract concepts has proven difficult. Building on previous efforts to solve this important feature of general-purpose learning systems, our latest paper sets…
This is a guest post by Dana Van Aken, Andy Pavlo, and Geoff Gordon of Carnegie Mellon University. This project demonstrates how academic researchers can leverage our AWS Cloud Credits for Research Program to support their scientific breakthroughs. Database management systems (DBMSs) are the most important component…
Standard natural language processing (NLP) is a messy and difficult affair. It requires teaching a computer about English-specific word ambiguities as well a...
Meet pgvectorscale, an open-source PostgreSQL extension that supercharges pgvector’s vector search performance for large-scale vector workloads.
Dive into the inner workings of TikTok’s awesome real-time recommendation system and learn what makes it one of the best in the field!
Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
We analyzed topics covered by 100k Hacker News posts and the sentiments they evoke using Metaflow.
We employ deep multi-agent reinforcement learning to model the emergence of cooperation. The new notion of sequential social dilemmas allows us to model how rational agents interact, and arrive at more or less cooperative behaviours depending on the nature of the environment and the agents’ cognitive capacity. The…
Building the ultimate computational knowledge engine is a highly ambitious and long-term project. The Wolfram|Alpha that you will get to start exploring next week is really just the beginning. Still, there are a lot of ways that you might use Wolfram|Alpha.
A Large Language Model for Zero-Shot Video Generation. VideoPoet demonstrates simple modeling method that can convert any autoregressive language model into a high quality video generator.
Expert insights on payment fraud, account takeover, chargebacks and digital trust from the team behind Sift's fraud prevention platform.
We present Performance RNN, an LSTM-based recurrent neural network designed to model polyphonic music with expressive timing and dynamics. Here’s an example...
Build an ultra-low-latency voice agent with NVIDIA open models. Learn how Nemotron Speech ASR achieves sub-25ms transcription, how Nemotron 3 Nano LLM and Magpie TTS work together, and how to optimize architecture for real-time voice AI deployment.
MIT graduate students have developed a new “cutting-plane” algorithm, a general-purpose algorithm for solving optimization problems. They’ve also developed a new way to apply their algorithm to specific problems, yielding orders-of-magnitude efficiency gains.
Multi-task learning - allowing a single agent to learn how to solve many different tasks - is a longstanding objective for artificial intelligence research. Recently, there has been a lot of excellent progress, with agents like DQN able to use the same algorithm to learn to play multiple games including Breakout and…
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
AI will make us smarter and better at our jobs. But if we don't watch out, it will create chaos.
Life doesn't freeze when winter comes—if anything, that's when riders need reliable transportation most, when being exposed to the elements becomes less appealing. Today, the Waymo Driver successfully navigates rain, fog, sandstorms, and freezing temperatures. As we expand to more cities across the U.S. and globally…
Andy Bell had heard companies were forcing employees to use AI tools so spoke to developers to determine if that was the case and learned some horrors in the process.
As part of the fastMRI research project to use AI to speed up MRI scans, NYU Langone Health is making a new dataset of de-identified brain MRIs available to researchers and Facebook AI is sharing additional tools and resources.
Self-guided agents that think continuously
In my last post I've described how to use Z3 to find simple local peephole optimization patterns for the integer operations in PyPy's JIT. An example is int_and(x, 0) -> 0. In this post I want to scal
Research on aligning AI with human values and intent, and reports documenting model failures.
How an initializer agent and an incremental coding agent help the Claude Agent SDK make steady progress across many context windows.
Posted by Asim Shankar and Wolff Dobson, Google Brain Team UPDATE, April 3 2018: Please see the official user guide for more up-to-date code examp...
