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Algorithms

A new artificial intelligence model has potential to enhance efficiency in a automated warehouse.

Researchers at MIT have developed an artificial intelligence tool to improve the efficiency of robotic warehouses. The researchers, drawing from their work in moderating traffic congestion, created a deep-learning model that can process information about the warehouse, including robot paths, tasks, and obstacles, to optimize warehouse functionality. By grouping the robots into smaller units, the…

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A new artificial intelligence model has the potential to enhance and simplify processes within an automated warehouse.

In crowded robotic warehouses, managing hundreds of robots to navigate efficiently and avoid collisions is a complex challenge. This has prompted a group of MIT researchers to create a deep-learning model to tackle the problem. Using AI, the team has developed an innovative model that encapsulates details about the warehouse environment - the robots, planned…

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Empowering individuals facing challenges with the use of Artificial Intelligence.

Karthik Dinakar SM ’12, PhD ’17 and Birago Jones SM ’12, former Media Lab students, developed a tool in 2010 to aid content moderation teams in companies like Twitter (now X) and YouTube. While getting ready to present this project at a cyberbullying summit at the White House, the pair discovered an issue with their…

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A fresh AI model might enhance efficiency in an automated warehouse.

As automated warehouses become increasingly popular in various industries, ensuring the efficiency and safety of hundreds of robots navigating such spaces is a significant challenge. Notably, even top-performing algorithms struggle to keep pace with the demands of e-commerce or manufacturing. To address this, a group of MIT researchers, who use AI to mitigate traffic congestion,…

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Empowering individuals with challenges to utilize Artificial Intelligence.

In 2010, MIT Media Lab students Karthik Dinakar and Birago Jones embarked on a project to develop a tool to aid content moderation for companies like Twitter and YouTube. The original concept had difficulty identifying posts using teenage slang and other non-obvious language nuances, but after realizing those most familiar with the data should be…

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A new artificial intelligence model has the potential to simplify processes in an automated warehouse.

Navigating hundreds of robots in a warehouse without causing accidents is a growing challenge for many industries, from e-commerce to automotive production. To address this issue, a team of researchers at the Massachusetts Institute of Technology (MIT) has developed an AI-based approach that increases efficiency and reduces congestion. The team devised a deep learning model that…

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Empowering individuals facing challenges with the use of Artificial Intelligence.

In 2010, MIT Media Lab graduate students Karthik Dinakar and Birago Jones collaborated on a project aimed at helping Twitter and YouTube content moderation teams detect problematic content. One daunting challenge they initially faced was understanding the nuanced and coded language that posters were using. This hurdle sparked an understanding that successful model development required…

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