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Meta's Omnilingual MT for 1,600 Languages
Advances made through No Language Left Behind (NLLB) have demonstrated that high-quality machine translation (MT) scale to 200 languages. Later Large...
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,242 posts.
2522
A better way to build ML: Why you should be using Active Learning
Data labeling is often the biggest bottleneck in machine learning. Active learning lets you train machine learning models with much less labeled data. The best AI-driven companies, like Tesla, use active learning.
2523
Transitioning entirely to neural machine translation
Visit the post for more.
2524
LeftoverLocals: Listening to LLM responses through leaked GPU local memory
We are disclosing LeftoverLocals: a vulnerability that allows recovery of data from GPU local memory created by another process on Apple, Qualcomm, AMD, and Imagination GPUs. LeftoverLocals impacts the security posture of GPU applications as a whole, with particular significance to LLMs and ML models run on impacted…
2525
How do domain-specific chatbots work? A retrieval augmented generation overview
Demystifying and deconstructing Q&A bots that work over your data.
2526
Utah bill aims to make officers disclose AI-written police reports
A bill headed to the Senate floor in Utah would require officers to disclose if a police report was written by generative AI. The bill, S.B. 180, requires a department to have a policy governing the use of AI. This policy would mandate that police reports created in whole or in part by generative...
2527
AlphaFold: Using AI for Scientific Discovery
In our study published in Nature, we demonstrate how artificial intelligence research can drive and accelerate new scientific discoveries. We’ve built a dedicated, interdisciplinary team in hopes of using AI to push basic research forward: bringing together experts from the fields of structural biology, physics, and…
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Theoretical Machine Learning Lecture Series: Deep Learning and Cognition
Deep learning, which is the reemergence of artificial neural networks, has recently succeeded as an approach towards artificial intelligence. In many fields, including computational linguistics, deep learning approaches have largely displaced earlier machine learning approaches, due to the superior performance they…
2531
OpenAI: Start using ChatGPT instantly
We’re making it easier for people to experience the benefits of AI without needing to sign up
2532
Making AI better at math tutoring
Too many students struggle with math. In fourth grade, only 36% of students are proficient in math. By ... Read more
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Oyster: Towards Unsupervised Object Detection from Lidar Point Clouds
Transform your supply chain with Waabi’s AI-first autonomous trucking solution. Scale freight operations, improve safety, and boost efficiency. Learn more.
2534
Intel Introduces Neuromorphic Test Chip
Intel Newsroom delivers the latest news, announcements, and updates. Stay informed on Intel innovations.
2535
Generating audio for video
Video-to-audio research uses video pixels and text prompts to generate rich soundtracks
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Impala: Scalable Distributed Deep Reinforcement Learning
Deep Reinforcement Learning (DeepRL) has achieved remarkable success in a range of tasks, from continuous control problems in robotics to playing games like Go and Atari. The improvements seen in these domains have so far been limited to individual tasks where a separate agent has been tuned and trained for each task.
2539
MLflow: An Open Source Machine Learning Platform
MLflow is an open-source platform to manage the ML lifecycle, offering tools for data preparation, model training, and deployment at scale.
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Reproducible machine learning with PyTorch and Quilt
In this article, we'll use Quilt to transfer versioned training data to a remote machine. We'll start with the Berkeley Segmentation Dataset, package the dataset, then train a PyTorch model for super-resolution imaging.
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Flyte: A Cloud Native Machine Learning and Data Processing Platform
Today Lyft is excited to announce the open sourcing of Flyte, a structured programming and distributed processing platform for highly…
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Using Neural Networks to Find Answers in Tables
Posted by Thomas Müller, Software Engineer, Google Research Much of the world’s information is stored in the form of tables, which can be found o...
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Open-Source Machine Learning Repos to Inspire Your Next Project
In the last couple of years, machine learning has opened up new horizons in a wide range of industries, with advanced use cases emerging: Facebook’s facial recognition, Netflix’s recommended movies, PrismaAI’s image style transfer, Siri’s voice recognition, Google Allo’s natural… Continue reading 25 Open-Source…
2545
Attack of the Vibe Coded Photoshop Clones
Over the last several months I have been tracking AI guys trying to create vibe coded clones of popular apps, especially Adobe’s apps which have always been the most pirated apps since the 90s. There are now about a dozen vibe coded attempts to clone Photoshop and some other Adobe apps, not incl
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Hey Siri: An On-Device DNN-Powered Voice Trigger for Apple’s Personal Assistant
The “Hey Siri” feature allows users to invoke Siri hands-free. A very small speech recognizer runs all the time and listens for just those…
2548
Keeping 20k GPUs healthy
How we do active and passive monitoring on hyperscalers and neoclouds.
2549
Thomson Reuters Launches Its Own Frontier Model
Thomson, the company's proprietary LLM, was trained and is run at a fraction of the cost of comparable frontier models and remains fully owned and controlled by Thomson Reuters
2550
Advancing AI Benchmarking with Game Arena
We’re expanding Game Arena with Poker and Werewolf, while Gemini 3 Pro and Flash top our chess leaderboard.