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Using machine learning to estimate lost demand in a fulfillment chain
How Instacart uses Machine Learning to spot lost demand in its fulfillment chain
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The latest blog posts to take off on Hacker News. 3,242 posts.
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Amazon Unveils New Alexa Dialog Modeling for Natural, Cross-Skill Conversations
Get the latest news and features about smart home, Alexa Built-in, and Alexa Gadgets.
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Random Forest vs. Neural Network
Choosing between Random Forest and Neural Network depends on the data type. Random Forest suits tabular data, while Neural Network excels with images, audio, and text data.
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Cracking open the black box of automated machine learning
ATMSeer is an interactive visualization tool for users to see and control algorithms and hyperparameters of machine-learning (AutoML) systems. The work was developed by researchers in the MIT Laboratory for Information and Decision Systems (LIDS), Hong Kong University of Science and Technology (HKUST), and Zhejiang…
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Moving Camera, Moving People: A Deep Learning Approach to Depth Prediction
Posted by Tali Dekel, Research Scientist and Forrester Cole, Software Engineer, Machine Perception The human visual system has a remarkable abili...
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Translatotron: An End-to-End Speech-to-Speech Translation Model
Posted by Ye Jia and Ron Weiss, Software Engineers, Google AI Speech-to-speech translation systems have been developed over the past several decade...
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Neural nets typically contain smaller “subnetworks” that can often learn faster
MIT CSAIL's "Lottery ticket hypothesis" finds that neural networks typically contain smaller subnetworks that can be trained to make equally accurate predictions, and often much more quickly.
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Microsoft makes AI tool for better search available as an open source project
Only a few years ago, web search was simple. Users typed a few words and waded through pages of results.
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Predicting Stack Overflow Tags with Google’s Cloud AI
Check out a cool project that leverages Stack Overflow Data and Google's Cloud AI to predict what tags would work best on Stack Overflow questions.
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TensorFlow Graphics: Computer Graphics Meets Deep Learning
Posted by Julien Valentin and Sofien Bouaziz
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Google’s Cloud TPU Pods are now publicly available in beta
Cloud TPU Pods are now available in beta, helping you train models faster and at lower cost in the cloud.
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Smarter Training of Neural Networks
These days, nearly all the artificial intelligence-based products in our lives rely on “deep neural networks” that automatically learn to process labeled data.
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OpenAI releases larger GPT-2 model
We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training.
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Open-Sourcing Ax and BoTorch: New AI Tools for Adaptive Experimentation
We are open-sourcing BoTorch and Ax, two new tools that leverage adaptive experimentation to efficiently tackle optimization challenges in tuning software configurations, machine learning hyperparameters, ranking systems, and more.
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Speedgate: World’s First Sport Generated by AI
Developers from AKQA, a global innovation agency most known for working with some of the hottest brands and public figures, trained a recurrent neural network and a deep convolutional generative…
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MuseNet
We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments, and can combine styles from country to Mozart to the Beatles. MuseNet was not explicitly programmed with our understanding of music, but instead discovered patterns of harmony, rhythm, and style…
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OpenCV-Python Cheat Sheet: From Importing Images to Face Detection
What is OpenCV-Python? OpenCV is an open source computer vision and machine learning library. It has 2500+ optimized algorithms—a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. It has many interfaces, including Python, Java, C++,… Continue reading OpenCV-Python…
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Aroma: Using machine learning for code recommendation
Aroma is a code-to-code search and recommendation tool that uses ML to make the process of gaining insights from big codebases much easier.