MIT researchers have made a major breakthrough in developing artificial intelligence that can reason like humans. They've created a hybrid architecture that combines neural networks with logical approaches, enabling AI systems to perform complex tasks in coding, strategic planning, and robotics. The team has organized natural language abstractions into three libraries, focusing on code synthesis, sequential decision making, and robotics. These libraries use neurosymbolic methods to combine neural networks with classical logical approaches, allowing AI systems to understand natural language, detect non-essential information, and adapt to new situations.

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