61
Machine Learning Engineer Guide: Feature Store vs. Data Warehouse
The feature store is a data warehouse of features for machine learning (ML)....
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 111 posts.
62
ACM Prize in Computing Awarded to AlphaGo Developer
Silver, a professor at University College London and Principal Research Scientist at DeepMind, is recognized as a central figure in the growing and impactful area of deep reinforcement learning, leading the team that developed AlphaGo.
63
A new model and dataset for long-range memory
Throughout our lives, we build up memories that are retained over a diverse array of timescales, from minutes to months to years to decades. When reading a book, we can recall characters who were introduced many chapters ago, or in an earlier book in a series, and reason about their motivations and likely actions in…
64
Accelerating TensorFlow Performance on Mac
Accelerating TensorFlow 2 performance on Mac
65
Deep learning to translate between programming languages
TransCoder is the first self-supervised neural transcompiler system for migrating code between programming languages. It can translate code from Python to C++, for example, and it outperforms rule-based translation programs.
66
Using ‘radioactive data’ to detect if a data set was used for training
Facebook AI has developed a new technique to mark the images in a dataset, so that researchers can then determine if a particular machine learning model...
67
Reformer, the Efficient Transformer
Posted by Nikita Kitaev, Student Researcher, UC Berkeley and Łukasz Kaiser, Research Scientist, Google Research Understanding sequential data — s...
68
Interactive C++ for Data Science
Interactive C++ for Data Science In our previous blog post “Interactive C++ with Cling” we mentioned that exploratory programming is an effective way to reduce the complexity of the problem. This post will discuss some applications of Cling developed to support data science researchers.
69
A highly efficient, real-time text-to-speech system deployed on CPUs
Text-to-speech systems across the industry typically rely on GPUs or specialized hardware to generate state-of-the-art speech in real-time production. We solved core efficiency challenges to process one second of audio in 500 milliseconds — using only CPUs.
70
Table Detection and Extraction Using Deep Learning
Extract table from image with Nanonets table detection OCR. Learn OCR table Deep Learning methods to detect tables in images or PDF documents.
71
TaBERT: A new model for understanding queries over tabular data
TaBERT is the first model that has been pretrained to learn representations for both natural language sentences and tabular data.
72
Let’s build a high-performance fuzzer with GPUs
TL;DR: Can we use GPUs to get 10x performance/dollar when fuzzing embedded software in the cloud? Based on our preliminary work, we think the answer is yes! Fuzzing is a software testing technique that supplies programs with many randomized inputs in an attempt to cause unexpected behavior. It’s an important, […]
73
Classifying 200k articles in 7 hours using NLP
Sculpt AI was built by a team of machine learning experts and SALT.agency and is a code-free AI platform. Keep reading to learn more about the benefits of this.
74
PyTorch 1.5
Today, we’re announcing the availability of PyTorch 1.5, along with new and updated libraries. This release includes several major new API additions and improvements. PyTorch now includes a significant update...
75
Pixelopolis, a self-driving car demo from Google I/O built with TensorFlow-Lite
Pixelopolis is an interactive installation that showcases self-driving miniature cars powered by TensorFlow Lite. Each car is outfitted with its own Pixel phone, which used its camera to detect and understand signals from the world around it. In order to sense lanes, avoid collisions and read traffic signs, the phone…
76
Computational predictions of protein structures associated with COVID-19
The scientific community has galvanised in response to the recent COVID-19 outbreak, building on decades of basic research characterising this virus family. Labs at the forefront of the outbreak response shared genomes of the virus in open access databases, which enabled researchers to rapidly develop tests for this…
77
78
Cloud AI Platform Pipelines
AI Platform Pipelines provides enterprise-ready infrastructure for deploying and running structured ML workflows, and pipeline tools for building, debugging, and sharing pipelines and components.
79
80
81
82
Cruise (GM) receives permit for fully driverless cars
2020 has been a heap of bad. And not small bad either. As we’ve been stuck at home, viewing the world through either real or virtual…
83
HiPlot: High-dimensional interactive plots made easy
We are releasing HiPlot, a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data.
84
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…
85
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…
86
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...
87
The What-If Tool: Code-Free Probing of Machine Learning Models (2018)
Posted by James Wexler, Software Engineer, Google AI Building effective machine learning (ML) systems means asking a lot of questions. It's not eno...
88
RTX3080 TensorFlow and NAMD Performance on Linux
The much anticipated NVIDIA GeForce RTX3080 has been released. How good is it with TensorFlow for machine learning? How about molecular dynamics with NAMD? I've got some preliminary numbers for you!
89
Automating receipt processing with deep learning
In this article, I cover the theory behind receipt digitization and implement an end-to-end pipeline using OpenCV and Tesseract. I also review a few important papers that do Receipt Digitization using Deep Learning.
90
FermiNet: Quantum Physics and Chemistry from First Principles
In August 2024, we published the next phase of our work in Science. Our research proposes a solution to one of the most difficult challenges in computational quantum chemistry: understanding how molecules transition to and from excited states when stimulated.