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After AI’s summer: What’s next for artificial intelligence?


The most optimistic promises of AI will likely not be realized in 2024. Hopefully, any disappointments will not result in another AI winter.

MIT’s Improbable AI Lab, a group within the Computer Science and Artificial Intelligence Laboratory (CSAIL), for instance, has developed a framework that makes use of three different foundation models each tuned for specific tasks such as language, vision and action. This system allows robots “to autonomously complete complex mobile manipulation tasks such as sautéing and serving a piece of shrimp, opening a two-door wall cabinet to store heavy cooking pots, calling and entering an elevator and lightly rinsing a used pan using a kitchen faucet.” The moment Clark references is from 2012, when several AI researchers including Alex Krizhevsky along with Ilya Sutskever and Geoffrey Hinton developed a convolutional neural network (CNN) architecture, a form of deep learning, that achieved a dramatic reduction in image classification error rates.

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