Enhancing Backpropagation via Local Loss Optimization

Favorite Posted by Ehsan Amid, Research Scientist, and Rohan Anil, Principal Engineer, Google Research, Brain Team While model design and training data are key ingredients in a deep neural network’s (DNN’s) success, less-often discussed is the specific optimization method used for updating the model parameters (weights). Training DNNs involves minimizing

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Shared by Google AI Technology July 29, 2022

What is an Open Source Program Office and why you should have one

Favorite A well-designed Open Source Program Office is the center of competency for an organization’s Open Source operations and structure. The post What is an Open Source Program Office and why you should have one first appeared on Voices of Open Source. Click Here to View Original Source (opensource.org)

Look and Talk: Natural Conversations with Google Assistant

Favorite Posted by Tuan Anh Nguyen, Staff Software Engineer, Google Assistant, and Sourish Chaudhuri, Staff Software Engineer, Google Research In natural conversations, we don’t say people’s names every time we speak to each other. Instead, we rely on contextual signaling mechanisms to initiate conversations, and eye contact is often all

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Shared by Google AI Technology July 27, 2022

ML-Enhanced Code Completion Improves Developer Productivity

Favorite Posted by Maxim Tabachnyk, Staff Software Engineer and Stoyan Nikolov, Senior Engineering Manager, Google Research The increasing complexity of code poses a key challenge to productivity in software engineering. Code completion has been an essential tool that has helped mitigate this complexity in integrated development environments (IDEs). Conventionally, code

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Shared by Google AI Technology July 26, 2022

OSI to attend SCaLE 19x conference

Favorite Meet OSI at SCaLE 19X- the 19th annual Southern California Linux Expo happening July 28th – July 30th. The post OSI to attend SCaLE 19x conference first appeared on Voices of Open Source. Click Here to View Original Source (opensource.org)

Developing advanced machine learning systems at Trumid with the Deep Graph Library for Knowledge Embedding

Favorite This is a guest post co-written with Mutisya Ndunda from Trumid. Like many industries, the corporate bond market doesn’t lend itself to a one-size-fits-all approach. It’s vast, liquidity is fragmented, and institutional clients demand solutions tailored to their specific needs. Advances in AI and machine learning (ML) can be

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Shared by AWS Machine Learning July 26, 2022