Researchers developed a way to make large language models more adaptable to challenging tasks like strategic planning or process optimization.
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MIT-IBM Watson AI Lab
Inroads to personalized AI trip planning
A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.
Read MoreAI-enabled control system helps autonomous drones stay on target in uncertain environments
The system automatically learns to adapt to unknown disturbances such as gusting winds.
Read MoreAI learns how vision and sound are connected, without human intervention
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.
Read MoreA new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.
Read MoreA new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.
Read MoreThe framework helps clinicians choose phrases that more accurately reflect the likelihood that certain conditions are present in X-rays.
Read MoreThis new framework leverages a model’s reasoning abilities to create a “smart assistant” that finds the optimal solution to multistep problems.
Read MoreResearchers fuse the best of two popular methods to create an image generator that uses less energy and can run locally on a laptop or smartphone.
Read MoreA new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
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