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Childhood's End: The digital revolution has turned into something else
To those seeking true intelligence, autonomy, and control among machines, the domain of analog computing, not digital computing, is the place to look.
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We improved Tensorflow Serving performance by over 70%
In this blog, we’ll focus on techniques that improve latency by optimizing both the prediction server and client.
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Solving the Rubik’s cube with a robot hand
We’ve trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. The neural networks are trained entirely in simulation, using the same reinforcement learning code as OpenAI Five paired with a new technique called Automatic Domain Randomization (ADR). The system can handle situations it…
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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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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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Avoid Artificial Stupidity
The first step to AI - data democratisation
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Applying BERT models to Search
How new advances in the science of language understanding will help you find more useful information in Search.
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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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Autocompletion with Deep Learning
We've put together an index of testing terms and articles, covering many of the basics of testing and definitions for common searches.
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GPT-2: 6-Month Follow-Up
We’re releasing the 774 million parameter GPT-2 language model after the release of our small 124M model in February, staged release of our medium 355M model in May, and subsequent research with partners and the AI community into the model’s potential for misuse and societal benefit. We’re also releasing an…
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L2 Regularization and Batch Norm
This blog post is about an interesting detail about machine learning that I came across as a researcher at Jane Street - that of the interaction between L2 r...
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An Analysis of WeChat’s Realtime Image Filtering in Chats
In this work, we study how Tencent implements image filtering on WeChat. We found that Tencent implements realtime, automatic censorship of chat images on WeChat based on what text is in an image and based on an image’s visual similarity to those on a blacklist. Tencent facilitates this realtime filtering by…
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Vibration-minimizing motion retargeting for robotic characters
Creating animations for robotic characters is very challenging due to the constraints imposed by their physical nature. In particular, the combination of fast motions and unavoidable structural deformations leads to mechanical oscillations that negatively affect their performances. Our goal is to automatically…
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Forecasting in Python with Prophet
A guided walkthrough of how to use the Prophet python library to solve a common forecasting problem.
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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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Machine learning can boost the value of wind energy
Carbon-free technologies like renewable energy help combat climate change, but many of them have not reached their full potential. Consider wind power: over the past decade, wind farms have become an important source of carbon-free electricity as the cost of turbines has plummeted and adoption has surged. However, the…
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AI Models Predict Breast Cancer with Radiologist-Level Accuracy
The IBM Research blog is the home for stories told by the researchers, scientists, and engineers inventing What’s Next in science and technology.
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License Plate Detection Without Machine Learning
Learn how to detect vehicles license plates without heavy Machine Learning techniques, just standard image processing routines.
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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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Continuing our work to improve recommendations on YouTube
That's why we update our recommendations system all the time—we want to make sure we’re suggesting videos that people actually want to watch.