MIT algorithm shows surprising result - it takes less data to find optimal solutions to certain problems

 For more complex types of problem solving, such as different types of operations type problems like supply chain management, or electrical distribution on grid networks, usually require large amounts of data, which can be expensive and time consuming. But a MIT group found an algorithm that optimizes the solution to the problem, using far less data than researchers ever imagined. Read about what they did!