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Using neural networks to solve advanced mathematics equations
Facebook AI has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems.
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The latest blog posts to take off on Hacker News. 3,242 posts.
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Online speech recognition with wav2letter anywhere
We have open-sourced wav2letter@anywhere, an inference framework for online speech recognition that delivers state-of-the-art performance.
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ALBERT: A Lite BERT for Self-Supervised Learning of Language Representations
Posted by Radu Soricut and Zhenzhong Lan, Research Scientists, Google Research Ever since the advent of BERT a year ago, natural language research...
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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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Model beats Wall Street analysts in forecasting business financials
MIT researchers have developed an automated machine-learning model that uses probability techniques to significantly outperform human Wall Street analysts in predicting quarterly business sales.
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Beyond L2 Loss – How We Experiment with Loss Functions
Estimating expected time of arrival (ETA) is crucial to what we do at Lyft. Estimates go directly to riders and drivers using our apps, as…
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A guide to OCR with Tesseract, OpenCV and Python
Dive deep into OCR with Tesseract, including Pytesseract integration, training with custom data, limitations, and comparisons with enterprise solutions.
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A Predictive Database
What is a predictive database? A database that lets you query predictions from structured tabular data with no model training step. Learn how predictive databases work, when to use them, and how they compare to traditional ML.
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FastMRI initiative releases neuroimaging data set
As part of the fastMRI research project to use AI to speed up MRI scans, NYU Langone Health is making a new dataset of de-identified brain MRIs available to researchers and Facebook AI is sharing additional tools and resources.
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Object-recognition dataset stumped the world’s best computer vision models
When computer vision detectors are turned loose in the real world, their performance noticeably drops. In an effort to close this performance gap, a team of MIT and IBM researchers set out to create a very different kind of object-recognition dataset called ObjectNet.
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Understanding “Deep Double Descent”
Double descent is a puzzling phenomenon in machine learning where increasing model size/training time/data can initially hurt performance, but then i…
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Building AI that can master complex cooperative games with hidden information
To advance research on AI that can understand others’ points of view and collaborate effectively, Facebook AI has developed a bot that sets a new state of the art in Hanabi, a card game in which all players work together.
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DeepSpeech 0.6
The Machine Learning team at Mozilla continues work on DeepSpeech, an automatic speech recognition (ASR) engine which aims to make speech recognition technology and trained models openly available to developers. ...
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Amazon SageMaker Autopilot
Update September 30, 2021 – This post has been edited to remove broken links. Today, we’re extremely happy to launch Amazon SageMaker Autopilot to automatically create the best classification and regression machine learning models, while allowing full control and visibility. In 1959, Arthur Samuel defined machine…
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Astrophotography with Night Sight on Pixel Phones
Posted by Florian Kainz and Kiran Murthy, Software Engineers, Google Research Taking pictures of outdoor scenes at night has so far been the dom...
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Machine Learning on Encrypted Data Without Decrypting It
Explore cutting-edge cryptographic techniques for machine learning on encrypted data. Discover how to process sensitive information without decryption, ensuring privacy and security.
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BodyPix: Real-Time Person Segmentation in the Browser with Tensorflow.js
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
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Time Series Prediction – A short introduction for pragmatists
Are you trying to predict time series but don't know where to start? This blog post will provide a comparison of the most prominent techniques and show you how …
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OpenAI Releases Largest GPT-2 Text Generation Model
As the final model release of GPT-2’s staged release, we’re releasing the largest version (1.5B parameters) of GPT-2 along with code and model weights to facilitate detection of outputs of GPT-2 models. While there have been larger language models released since August, we’ve continued with our original staged release…
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The FBI Is Tracking Our Faces in Secret, and We’re Suing
There can be no accountability if there is no transparency.
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The Machine Learning Software Engineering Interview
Iterations on revealing recurring patterns of thought, feeling, and behavior
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