121
Advances in Conversational AI
Facebook AI has made scientific progress in improving nuanced conversational skills, including consistency, specificity, and empathy.
122
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...
123
124
New Method for Compressing Neural Networks Better Preserves Accuracy
Get the latest news and features about smart home, Alexa Built-in, and Alexa Gadgets.
125
Video Architecture Search
Posted by Michael S. Ryoo, Research Scientist and AJ Piergiovanni, Student Researcher, Robotics at Google Video understanding is a challenging pr...
126
A 2019 Guide for Automatic Speech Recognition
Computer-based processing and identification of human voices is known as speech recognition. It can be used to authenticate users in certain systems, as well as provide instructions to smart devices like the Google Assistant, Siri or Cortana. Essentially, it works… Continue reading A 2019 Guide for Automatic Speech…
127
128
129
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…
130
131
Building a State of the Art Bacterial Classifier with Fast.ai and Paperspace
In this post, we’re going to be demonstrating how to to build a state of the art Bacterial Classification model on Gradient using the Fast.ai machine learning library.
132
133
Natural Language in Python Using SpaCy: An Introduction
Deep dive into python spacy with code examples, real-world applications, and expert insights for data science practitioners.
134
135
RNN-Based Handwriting Recognition in Gboard
Posted by Sandro Feuz and Pedro Gonnet, Senior Software Engineers, Handwriting Team In 2015 we launched Google Handwriting Input, which enabled u...
136
Neural MMO – A Multiagent Game Environment
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
137
Towards Reproducible Research with PyTorch Hub
Reproducibility is an essential requirement for many fields of research including those based on machine learning techniques. However, many machine learning publications are either not reproducible or are difficult to...
138
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…
139
140
Deep Learning to Federated Learning in 10 Lines of PyTorch and PySyft
Update as of November 18, 2021: The version of PySyft mentioned in this post has been deprecated. Any implementations using this older version of PySyft are…
141
SpaCy PyTorch Transformers
Huge transformer models like BERT, GPT-2 and XLNet have set a new standard for accuracy on almost every NLP leaderboard. You can now use these models in spaCy, via a new interface library we've developed that connects spaCy to Hugging Face's awesome implementations.
142
143
Real-time Continuous Transcription with Live Transcribe
Posted by Sagar Savla, Product Manager, Machine Perception The World Health Organization (WHO) estimates that there are 466 million people globally...
144
Amazon Transcribe Streaming Now Supports WebSockets
I love services like Amazon Transcribe. They are the kind of just-futuristic-enough technology that excites my imagination the same way that magic does. It’s incredible that we have accurate, automatic speech recognition for a variety of languages and accents, in real-time. There are so many use-cases, and nearly all…
145
Deep Learning Illustrated: Building Natural Language Processing Models
A hands-on guide to natural language processing with Keras. Covers word2vec, sentiment classification, CNNs, RNNs, and LSTMs using the IMDb dataset in Python.
146
147
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.
148
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.
149
150