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A.I.
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Meta AI Introduces Data2vec Open-Source Framework for Self-Supervised Learning in NLP, Speech and Vision Processing
A holistic open-source framework to improve the performance of multiple modalities and outperform the existing single-modality algorithms.
ETH researchers led by Marco Hutter developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine its visual perception of the environment with its sense of touch for the first time.