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Cracking Random Number Generators Using Machine Learning
Cutting-edge cyber security research from NCC Group. Find public reports, technical advisories, analyses, & other novel insights from our global experts.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 185 posts.
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Samsung Foundry Forum announcements
Details were disclosed at the company’s 5th Annual Samsung Foundry Forum
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Nvidia Scientists Take Top Spots in 2021 Brain Tumor Segmentation Challenge
NVIDIA data scientists took three of the top spots in a brain tumor segmentation challenge validation phase at the prestigious MICCAI 2021.
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Nvidia releases Paint me Picture – A web app for GauGAN2
GauGAN2, the latest version of NVIDIA Research’s wildly popular AI painting demo, allows anyone to create photorealistic masterpieces.
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Zillow just gave us a look at machine learning's future
It's put up or shut up time for Data Science teams. When the business depends on our work for revenue growth, success is expected. Failure is fatal.
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It’s not a self-driving car unless you can sleep in it
GROUND TRUTH is an inside look at the development and deployment of self-driving technology, from the simulation labs to city streets.
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AI Explorables: big ideas in machine learning, simply explained
People + AI Research (PAIR) is a multidisciplinary team at Google that explores the human side of AI.
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Decoding the Peloton
From Voltages to "Cadence, Output, and Resistance" TL;DR - I’ve decoded (most of) the protocol that the Peloton bike uses to communicate with its head unit tablet and built a device,...
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Wav2vec Overview: Semi and Unsupervised Speech Recognition
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Multimodal Neurons in Artificial Neural Networks
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding the associations and biases that CLIP and similar…
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Gradient Descent Models Are Kernel Machines
This paper shows that models which result from gradient descent training (e.g., deep neural nets) can be expressed as a weighted sum of simi...
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Spice.ai – Open-source, time series AI for developers
Read blog posts about Spice.ai OSS from the team and community
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TensorFlow Graph Neural Networks
Introducing TensorFlow GNN, a library to build Graph Neural Networks on the TensorFlow platform.
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Monster Mash: A Sketch-Based Tool for Casual 3D Modeling and Animation
Posted by Cassidy Curtis, Visual Designer and David Salesin, Principal Scientist, Google Research 3D computer animation is a time-consuming and hig...
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Cynthia Rudin wins the 2021 AAAI Squirrel AI Award
Cynthia Rudin becomes second recipient of AAAI Squirrel AI Award for pioneering socially responsible AI
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Cuda.jl v3.3: union types, debug info, graph APIs
There have been several releases of CUDA.jl in the past couple of months, with many bugfixes and many exciting new features to improve GPU programming in Julia: CuArray now supports isbits Unions, CUDA.jl can emit debug info for use with NVIDIA tools, and changes to the compiler make it even easier to use the latest…
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Flashlight: Fast and flexible machine learning in C++
Deep and machine learning (ML) frameworks are good at what they do, but altering their underlying code is typically difficult. Flashlight is a new open source library written entirely in C++ that enables teams to rapidly modify frameworks to fit their needs. Read more:
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Introduction to Convolutional Neural Networks
This beginner guide will help you understand how convolution neural networks (CNNs) work and what they are useful for.
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Why I'm Lukewarm on Graph Neural Networks
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Review: The Book of Why
The Book of Why: The New Science of Cause and Effect is a collaborative effort aimed at a general audience by Judea Pearl , a professor of computer science at UCLA, and Dana Mackenzie , a science writer. As a medical student with a laughably poor formal education in statistics, I believe I qualify as a card-carrying…
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Unifying the CUDA Python Ecosystem
For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and maintain bindings back to Python…
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Learning with Not Enough Data: Semi-Supervised Learning
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GPT-J-6B: 6B JAX-Based Transformer
Summary: We have released GPT-J-6B, 6B JAX-based (Mesh) Transformer LM (Github).GPT-J-6B performs nearly on par with 6.7B GPT-3 (or Curie) on various zero-shot down-streaming tasks.You can try out …
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Advancing AI theory with first-principles understanding of deep neural networks
Deep neural networks have long been considered too complex to understand from first principles — but new research does just that, presenting a theoretical framework for DNNs.
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Speech to Birdsong Conversion
A blog about signals, programming, music, and other stuff.
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FastText is the best text classification library for a quick baseline
Text classification is a very frequent use case for machine learning (ML) and natural language processing (NLP). It’s used for things like spam detection in emails, sentiment analysis for social media posts, or intent detection in chat bots. In this series I am going to compare several libraries that can be used to…