Remove how-to categories smart-home
article thumbnail

Essay competition on the Automation of Wisdom and Philosophy — $25k in prizes

AI Impacts

Background AI is likely to automate more and more categories of thinking with time. To some extent this will depend on how much good human thinking is devoted to these questions; but at some point it will probably depend crucially on how advanced, reliable, and widespread the automation of high-quality thinking about novel situations is.

article thumbnail

Build brand loyalty by recommending actions to your users with Amazon Personalize Next Best Action

AWS Machine Learning Blog

In this post, we show you how to use the Next Best Action recipe to personalize action recommendations based on each user’s past interactions, needs, and behavior. Amazon Personalize is a fully managed machine learning (ML) service that makes it effortless for developers to deliver highly personalized user experiences in real time.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Ivan Crewkov CEO & Co-Founder of Buddy AI – Interview Series

Unite.AI

Since its launch in 2020, the Buddy app has won several awards and topped the charts in the App Store's Kids and Education category with over 36M downloads worldwide. In 2014, you launched Cubic.ai, one of the first smart speakers and voice-assistant apps for smart homes. With Cubic.ai, I moved from Siberia to the U.S.

article thumbnail

PRESTO – A multilingual dataset for parsing realistic task-oriented dialogues

Google Research AI blog

They can help with everything from setting alarms to giving map directions and can even assist people with disabilities to more easily manage their homes. Posted by Rahul Goel and Aditya Gupta, Software Engineers, Google Assistant Virtual assistants are increasingly integrated into our daily routines.

NLP 98
article thumbnail

Designing Societally Beneficial Reinforcement Learning Systems

BAIR

Deep reinforcement learning (DRL) is transitioning from a research field focused on game playing to a technology with real-world applications. At the same time as the emergence of powerful RL systems in the real world, the public and researchers are expressing an increased appetite for fair, aligned, and safe machine learning systems.

Robotics 147
article thumbnail

AI2’s Hackathon 2023

Allen AI

In past years, Hackathon projects have led to hilarious digital versions of AI2 employees and dubious smart speaker apps, but they’ve also ended up in projects that went farther than the 2.5-day day hacking spree. day hacking spree. For example, SUPP.AI We all have interesting work to do. Oftentimes, serendipity leads to good ideas!”

article thumbnail

Black Swan Data CTO on how to tackle petabyte-level learning

Snorkel AI

If you’re not familiar with how large consumer packaged goods companies work, a lot of times they’ll wait for certain trends to surface. If our company has been smart enough to move first, then they’ll have market dominance—otherwise, they may be playing catch up. We do that on top of big sources of data.