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Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation

BAIR

In this blog post, we will discuss ReLMM, a system that we developed that learns to clean up a room directly with a real robot via continual learning. In this work, we design an “on-the-job” mobile robot training system for cleaning by learning to grasp objects throughout different rooms.

Robotics 275
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The 10 Best AI Search Engines to Try in 2024

Unite.AI

In 2024, the digital world is swiftly growing, challenging traditional search engines to meet the rising demand for precise and relevant findings. Consequently, AI search engines are stepping onto the scene as a revolutionary answer. Accordingly, these new AI search engines have markedly improved the user experience.

AI 306
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Top AI-Powered SEO Tools in 2024

Marktechpost

In today’s competitive digital market, ranking high in search engine results is critical for increasing organic traffic and establishing an online presence. They use artificial intelligence to automate your SEO workflow and optimize your content for search engine success. This is where AI SEO tools come in.

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Spatial computing is the next frontier in airline flight safety

IBM Journey to AI blog

Ground engineers must inspect the damage, determine its precise location, depth and extent, and decide if the craft is still airworthy. As enterprise use of mobile devices grows, spatial computing offers organizations a way to benefit more from investments in smartphones, tablets and headsets.

AI 259
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Watsonx: a game changer for embedding generative AI into commercial solutions

IBM Journey to AI blog

These features—along with a broad range of traditional machine learning and AI functions —are now available to independent software vendors (ISVs) and managed service providers (MSPs) as part of IBM’s embeddable software portfolio, supported by the IBM Ecosystem Engineering Build Lab and partner ecosystem.

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The customer experience evolution: Today’s data-driven, real-time discipline

IBM Journey to AI blog

a mobile app). This means organizations need to devote more resources to improving their SEO, mobile apps and social media presences. They need to determine where they should spend their advertising dollars to reach the most persuadable prospects and create an organic inbound engine to capture them.

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T-Mobile US, Inc. uses artificial intelligence through Amazon Transcribe and Amazon Translate to deliver voicemail in the language of their customers’ choice

AWS Machine Learning Blog

This post is co-authored by Dhurjati Brahma, Senior Systems Architect at T-Mobile US, Inc and Jim Chao, Principal Engineer/Architect at T-Mobile US, Inc and Nicholas Zellerhoff Associate Systems Architect at T-Mobile US, Inc. T-Mobile US, Inc. T-Mobile US, Inc. In addition, market research based on U.S.