1831
Fast and Accurate Document Detection for Scanning
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,240 posts.
1832
Population-based training of neural networks
Neural networks have shown great success in everything from playing Go and Atari games to image recognition and language translation. But often overlooked is that the success of a neural network at a particular application is often determined by a series of choices made at the start of the research, including what…
1833
Google I/O: Big changes coming for SEOs with ubiquitous AI
Google I/O 2023 makes AI ubiquitous across products. What SGE and generative search mean for SEOs and content marketers.
1834
Waymo will bring autonomous vehicles to Tokyo
こんにちは(Konnichiwa) and hello, Japan! We're thrilled to announce that Waymo, in partnership with Nihon Kotsu and GO, will bring our autonomous vehicles to Tokyo for our first international road trip. There, our Driver will learn and adapt to left-hand traffic and new driving nuances associated with operating in one of…
1835
OpenAI o1 Results on ARC-AGI-Pub
How far are the o1 preview and mini models from AGI?
1836
Baidu released ERNIE 5.5 Flash Base
ERNIE 5.5 Flash Base: a 280B-A14B hybrid-attention MoE pretrained on 33.5T tokens. An open, efficient pretraining base.
1837
Bard can now connect to your Google Apps and services
Bard gets its most capable model yet, along with new and expanded features.
1838
Building AI agents to query your databases
In the world of AI agents, the ability to understand and analyze structured data is a game-changer. While large language models excel at understanding natural...
1839
AI model for near-instant image creation on consumer-grade hardware
The University of Surrey unveils NitroFusion, an open-source AI model for near-instant image generation on a single consumer-grade GPU.
1840
An On-Device Deep Neural Network for Face Detection
Apple started using deep learning for face detection in iOS 10. With the release of the Vision framework, developers can now use this…
1841
Speeding up PyTorch inference on Apple devices with AI-generated Metal kernels
Our lab investigated whether frontier models can write optimized GPU kernels for Apple devices to speed up inference. We found that they can: our AI-generated Metal kernels were 1.24x faster across KernelBench v0.1 problems, and 1.87x faster across KernelBench v0 problems.
1842
Starcloud
The NVIDIA Inception startup projects that space-based data centers will offer 10x lower energy costs and reduce the need for energy consumption on Earth.
1843
The Gemini app is now on Mac
Google is bringing the Gemini app to macOS as a native desktop experience.
1844
Using LLMs to enhance our testing practices
Discover how Assembled uses LLMs to save engineering hours on test writing, boost productivity, and ensure code quality without slowing development.
1845
Google Brain Toronto
A “vector” is a geometric object with two important properties: magnitude and direction. These two attributes might also describe Canada’s AI sector today, as key inves…
1846
Can you use autoregressive diffusion to generate market data?
The following is part of a series of posts about 2026 summer intern projects – for more, see “What the interns have wrought, special jumbo 2026 edition”
1847
Creating ad hoc microphone arrays from personal devices (2019)
Researchers in the Microsoft Speech and Dialog Research Group have made an ad hoc microphone array by allowing meeting participants to join their phones together to enable more accurate meeting transcriptions. Explore how this array outperforms a single-device system.
1848
Orpheus-3B – Emotive TTS by Canopy Labs
Canopy Labs is developing digital humans that are indistinguishable from real ones.
1849
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Finding Signal in the Noise: Machine Learning and the Markets (Jane Street)
Listen in on Jane Street’s Ron Minsky as he has conversations with engineers working on everything from clock synchronization to reliable multicast, build systems to reconfigurable hardware. Get a peek at how Jane Street approaches problems, and how those ideas relate to tech more broadly.
1851
What Extropic is building
The demand for computing power in the AI era is increasing at an unprecedented exponential rate. Luckily, for the past several decades, the miniaturization of CMOS transistor technology following Moore’s law has allowed much of this exponential growth to be accounted for by increasing computer efficiency.
1852
Nvidia to Acquire Run:AI
To help customers make more efficient use of their AI computing resources, NVIDIA today announced it has entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. Customer AI deployments are becoming increasingly complex, with workloads…
1853
New Capabilities for GPT-3: Edit and Insert
We’ve released new versions of GPT-3 and Codex which can edit or insert content into existing text, rather than just completing existing text.
1854
Project Gameface launches on Android
We've open sourced the code for Project Gameface so developers and enterprises can leverage it to build new experiences with increased accessibility.
1855
WebVR Experiments
We’ve created a showcase of the amazing VR experiences developers are building on the web. To play with them, all you need is a browser.
1856
NanoGPT Slowrun: Language Modeling with Limited Data, Infinite Compute
NanoGPT Slowrun is an open effort to implement data-efficient learning algorithms; 5.5x data efficiency in the first week and improving.
1857
How to scale your model: A systems view of LLMs on TPUs
Training LLMs often feels like alchemy, but understanding and optimizing the performance of your models doesn't have to. This book aims to demystify the science of scaling language models: how TPUs (and GPUs) work and how they communicate with each other, how LLMs run on real hardware, and how to parallelize your…
1858
Graph Neural Networks – An Overview
How Neural Networks can be used in graph data
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We compete with GitHub. Bing does not show our website
A genuine question on why we are not getting indexed by Bing.