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Using data to make improved decisions.

Abdul Latif Jameel Poverty Action Lab (J-PAL), Algorithms, Artificial Intelligence, Behavior, Behavioral economics, Business and management, Classes and programs, Data, Economics, Electrical Engineering & Computer Science (eecs), Health care, Health sciences and technology, Industry, Leadership, Machine learning, MIT Schwarzman College of Computing, School of Engineering, School of Humanities Arts and Social Sciences, Technology and policy, UncategorizedJune 7, 202437Views0Likes0Comments

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CEO of OpenAI Sam Altman and President Sally Kornbluth engage in a conversation about the potential trends in AI.

Artificial Intelligence, Business and management, Careers, Community, Ethics, History of science, Human-computer interaction, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, President Sally Kornbluth, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Sustainability, Technology and society, UncategorizedMay 7, 202442Views0Likes0Comments

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HPI-MIT’s joint design research effort fosters formidable teams.

Artificial Intelligence, Business and management, Cleaner industry, Climate change, Collaboration, Computer Science and Artificial Intelligence Laboratory (CSAIL), Cybersecurity, Design, Electrical Engineering & Computer Science (eecs), Environmental Solutions Initiative, Innovation and Entrepreneurship (I&E), Machine learning, Manufacturing, MIT Morningside Academy for Design, MIT Sloan School of Management, Renewable energy, Research, School of Architecture and Planning, School of Engineering, Startups, Supply chains, UncategorizedMay 4, 202439Views0Likes0Comments
The recent ransomware attack on ChangeHealthcare underscores the disruptive nature of supply chain attacks. Such attacks are becoming increasingly prominent and often target large corporations through the small and medium-sized vendors in their corporate supply chains. Researchers from Massachusetts Institute of Technology (MIT) and Hasso Plattner Institute (HPI) in Potsdam, Germany, are investigating different organizational…

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3 Enquiries: Improving final-stage distribution using artificial intelligence learning systems.

Algorithms, Artificial Intelligence, Business and management, Center for Transportation and Logistics, Interview, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MIT-IBM Watson AI Lab, Research, School of Engineering, Staff, Supply chains, Transportation, UncategorizedApril 17, 202432Views0Likes0Comments
Across the U.S., hundreds of thousands of drivers deliver innumerable parcels daily, with most deliveries taking a few days. Coordinating such a enormous supply chain in a predictable and timely manner is a challenging problem in operations research, particularly optimizing the last leg of delivery routes, which is often the costliest due to factors such…

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