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

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, Robots, School of Engineering, UncategorizedJune 6, 202431Views0Likes0Comments
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.

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, Robots, School of Engineering, UncategorizedJune 5, 202438Views0Likes0Comments
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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A fresh AI model might enhance efficiency in an automated warehouse.

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, Robots, School of Engineering, UncategorizedJune 5, 202441Views0Likes0Comments
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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A new artificial intelligence model has the potential to simplify processes in an automated warehouse.

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, Robots, School of Engineering, UncategorizedJune 4, 202430Views0Likes0Comments
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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The Engineering Department extends a warm welcome to its latest professors.

Aeronautical and astronautical engineering, Artificial Intelligence, Biological engineering, Broad Institute, Chemical engineering, Civil and environmental engineering, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Cryptography, Data, DMSE, Economics, Electrical Engineering & Computer Science (eecs), Electronics, Environment, Faculty, Human-computer interaction, human-robot interaction, IDSS, Immunology, Laboratory for Information and Decision Systems (LIDS), Machine learning, Media Lab, Medicine, MIT Schwarzman College of Computing, Music, Music and theater arts, Research Laboratory of Electronics, Robotics, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, UncategorizedMay 24, 202443Views0Likes0Comments

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A cooperative effort within a community for advancement.

Algorithms, Artificial Intelligence, Boston and region, Cambridge, Classes and programs, Data, Graduate, Housing, IDSS, MIT Schwarzman College of Computing, Policy, postdoctoral, Profile, Racism, School of Architecture and Planning, Social justice, Students, Uncategorized, Undergraduate Research Opportunities Program (UROP), Urban studies and planningMay 23, 202438Views0Likes0Comments
The Massachusetts Institute of Technology (MIT) has been collaborating with Roxbury, Massachusetts' Camfield Estates housing development for over a decade, helping to combat systemic racial disparities in housing. Led by Associate Professor Catherine D'Ignazio, a team from the MIT Initiative for Combatting Systemic Racism (ICSR) primarily focus their research on the impact of data and…

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Creating the policy for the future.

Artificial Intelligence, Collaboration, Data, Graduate, Hackathon, Housing, IDSS, MIT Schwarzman College of Computing, Policy, postdoctoral, Special events and guest speakers, Students, Technology and policy, UncategorizedMay 6, 202437Views0Likes0Comments
First-year students in the Social and Engineering Systems (SES) doctoral program at MIT, Eric Liu and Ashely Peake, are interested in investigating housing inequality issues. They took the opportunity to conduct hands-on research on real-world problems at the MIT Policy Hackathon, an event that invites participants globally to find potential solutions to societal challenges. This…

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Creating the strategy for the future

Artificial Intelligence, Collaboration, Data, Graduate, Hackathon, Housing, IDSS, MIT Schwarzman College of Computing, Policy, postdoctoral, Special events and guest speakers, Students, Technology and policy, UncategorizedMay 6, 202435Views0Likes0Comments
First-year students in MIT's Social and Engineering Systems (SES) doctoral program, Eric Liu and Ashley Peake, have a unique interest in investigating housing inequality issues. At the MIT Policy Hackathon, they had an opportunity to apply their knowledge and conduct research on these real-world issues. The hackathon, organized by students in the IDSS and TPP,…

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Creating the strategy for the future.

Artificial Intelligence, Collaboration, Data, Graduate, Hackathon, Housing, IDSS, MIT Schwarzman College of Computing, Policy, postdoctoral, Special events and guest speakers, Students, Technology and policy, UncategorizedMay 5, 202438Views0Likes0Comments
First year students, Eric Liu and Ashely Peake, from the Social and Engineering Systems (SES) doctoral program at MIT Institute for Data, Systems, and Society (IDSS), are researching housing inequality issues. They used a policy hackathon organized by IDSS as an opportunity for hands-on research. The annual event gathers participants from around the world to…

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