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iGibson Challenge on Interactive and Social Navigation - Google On April 17, Saturday, 2021

Computer vision has significantly advanced over the past decade thanks to large-scale benchmarks. More recent computer vision research has tackled active tasks, which require both perception and action. The First Embodied AI Workshop, co-organized by Google at CVPR 2020, hosted several benchmark challenges for active tasks. This year, Stanford and Google are proud to announce a new version of the iGibson Challenge on Interactive and Social Navigation. The challenge explores how robots can learn to interact with people and objects in their environments.

Read more at ai.googleblog.com

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Open AI - 'ANN CLIP' mimics human brain neurons in Image Recognition On March 11, Thursday, 2021

Open AI, founded by Elon Musk, has discovered that their artificial neural network CLIP shows behavior strikingly similar to a human brain. This find make scientists hopeful for the future of AI networks' ability to identify images in a symbolic, conceptual and literal capacity. The first biological neuron recorded to operate in a similar fashion was the "Halle Berry" neuron. Open AI's multi-modal vision system continues to outperfom existing systems.

Read more at techxplore.com

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SEER - Computer Vision Supplement by Facebook On March 08, Monday, 2021

Facebook has developed SEER (Self-Supervised) - a Deep learning solution able to register images on the Internet independent of categorised and labeled data sets. SEER performed better than the most advanced self-supervised systems. It has a 60.5 percent accuracy rate when trained on only 1 percent of the same data set.

Read more at ai.facebook.com

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