“Periodic table of machine learning” could fuel AI discovery
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.
Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.
A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.
By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.
The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.
A 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.
The framework helps clinicians choose phrases that more accurately reflect the likelihood that certain conditions are present in X-rays.
This new framework leverages a model’s reasoning abilities to create a “smart assistant” that finds the optimal solution to multistep problems.
Researchers 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.
New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.