Using Activation Functions in Deep Learning Models

A deep learning model in its simplest form are layers of perceptrons connected in tandem. Without any activation functions, they are just matrix multiplications with limited power, regardless how many of them. Activation is the magic why neural network can be an approximation to a wide variety of non-linear function. In PyTorch, there are many …

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Google Research, 2022 & beyond: Robotics

Posted by Kendra Byrne, Senior Product Manager, and Jie Tan, Staff Research Scientist, Robotics at Google (This is Part 6 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Within our lifetimes, we will see robotic technologies that can help with everyday …

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Building AI chatbots using Amazon Lex and Amazon Kendra for filtering query results based on user context

Amazon Kendra is an intelligent search service powered by machine learning (ML). It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for. In some scenarios, you need the search results to be filtered based on …

ClosedAI strikes again

I know you are mostly interested in image generating AI, but I’d like to inform you about new restrictive things happening right now. It is mostly about language models (GPT3, ChatGPT, Bing, CharacterAI), but affects AI and AGI sphere, and purposefully targeting open source projects. There’s no guarantee this won’t be used against the image …

Love Language: Valentine’s Day Marketing Messages that Inspire Spending

Holidays, especially those that involve gifting, are filled with opportunities for marketers to inspire consumers to buy something special for themselves or a loved one. Let’s face it, people feel a ton of satisfaction from getting and giving gifts, no matter the occasion. Holidays are the perfect excuse to do it. Valentine’s Day marketing is …

Smash or pass? This computer can tell

Could an app tell if a first date is just not that into you? Engineers say the technology might not be far off. They trained a computer to identify the type of conversation two people were having based on their physiological responses alone.

Designing Data: Proactive Data Collection and Iteration for Machine Learning

Lack of diversity in data collection has caused significant failures in machine learning (ML) applications. While ML developers perform post-collection interventions, these are time intensive and rarely comprehensive. Thus, new methods to track and manage data collection, iteration, and model training are necessary for evaluating whether datasets reflect real world variability. We present designing data, …