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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
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 105 posts.
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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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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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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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EleutherAI One Year Retrospective
A look back at the first year of EleutherAI.
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Using AI to Animate Children’s Drawings
We’ve built a first-of-its-kind method for using AI to automatically animate children’s drawings of people.
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Unveiling our new Quantum AI campus
Google is unveiling a new Quantum AI campus in Santa Barbara, California.
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Customizing GPT-3 for Your Application
Fine-tune with a single command.
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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.
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New algorithm flies drones faster than human racing pilots
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A Browsable Petascale Reconstruction of the Human Cortex
Posted by Tim Blakely, Software Engineer and Michał Januszewski, Research Scientist, Connectomics at Google In January 2020 we released the fly “he...
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Nearest neighbor indexes for similarity search
Vector similarity search is a game-changer in the world of search. It allows us to efficiently search a huge range of media, from GIFs to articles — with incredible accuracy in sub-second timescales for billion+ size datasets.
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Scientists begin building highly accurate digital twin of our planet
A digital twin of our planet is to simulate the Earth system in future. It is intended to support policy-makers in taking appropriate measures to better prepare for extreme events. A new strategy paper by European scientists and ETH Zurich computer scientists shows how this can be achieved.
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YOLOv5 on CPUs: Sparsifying to Achieve GPU-Level Performance
From live events to hands-on product demos to deep technical research, see what we're doing with AI at Red Hat.
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Google Tensor SoC debuts on the new Pixel 6 this fall
Google Tensor is our first custom-built SoC specifically for Pixel phones, and it will power the Pixel 6 and Pixel 6 Pro later this fall.
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Clip: Connecting Text and Images
We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3.
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Leonardo, the Bipedal Robot, Can Ride a Skateboard and Walk a Slackline
Researchers at Caltech have built a bipedal robot that combines walking with flying to create a new type of locomotion, making it exceptionally nimble and capable of complex movements.
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OpenCV AI Competition 2021 Highlights and Team Profiles Part 1
If social media is any indication, OpenCV AI Competition 2021 participants have really hit the ground running. The competition, sponsored by Microsoft Azure and Intel, features over 1000 developers on over 200 Phase 1 winning teams worldwide and our feeds are already buzzing with awesome videos and photos as teams…
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Megatron-Turing NLG 530B, the World’s Largest Generative Language Model
MT-NLG has 3x the number of parameters compared to the existing largest model of this type and demonstrates unmatched accuracy in a broad set of natural language tasks.
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Mike Levin on using bioelectricity to study how cells form (2019)
By Lindsay Brownell At first glance, the lab of Wyss Associate Faculty member Mike Levin looks like any standard biology lab: graduate students in white lab coats pipette liquids into tubes at benches surrounded by centrifuges, freezers, racks of graduated cylinders hanging over sinks, and shelves of petri dishes…