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The loss of pollinators, such as bees, is a huge challenge for global biodiversity and affects humanity by causing problems in food production. At Tampere University, researchers have now developed the first passively flying robot equipped with artificial muscle. Could this artificial fairy be utilized in pollination?

The development of stimuli-responsive polymers has brought about a wealth of material-related opportunities for next-generation small-scale, wirelessly controlled soft-bodied robots. For some time now, engineers have known how to use these materials to make small robots that can walk, swim and jump. So far, no one has been able to make them fly.

Researchers of the Light Robots group at Tampere University are now researching how to make smart material fly. Hao Zeng, Academy Research Fellow and the group leader, and Jianfeng Yang, a doctoral researcher, have come up with a new design for their project called FAIRY – Flying Aero-robots based on Light Responsive Materials Assembly. They have developed a polymer-assembly robot that flies by wind and is controlled by light.

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At the same time, the court gagged the petitioner against prosecuting the suit “in other forums”.

Meta Platforms Inc. (FB.O), the owner of Facebook, wanted court to throw out the suit arguing that it cannot be tried in Kenya. The company said that the local Employment and Labour Relations Court has no jurisdiction to hear the suit lodged by Daniel Motaung’, a South African national working in Nairobi.


By Joseph Wangui.

Court Reporter

Panelists: michael graziano, jonathan cohen, vasudev lal, joscha bach.

The seminal contribution “Attention is all you need” (Vasvani et al. 2017), which introduced the Transformer algorithm, triggered a small revolution in machine learning. Unlike convolutional neural networks, which construct each feature out of a fixed neighborhood of signals, Transformers learn which data a feature on the next layer of a neural network should attend to. However, attention in neural networks is very different from the integrated attention in a human mind. In our minds, attention seems to be part of a top-down mechanism that actively creates a coherent, dynamic model of reality, and plays a crucial role in planning, inference, reflection and creative problem solving. Our consciousness appears to be involved in maintaining the control model of our attention.

In this panel, we want to discuss avenues into our understanding of attention, in the context of machine learning, cognitive science and future developments of AI.

Full program and references: https://cognitive-ai-panel.webflow.io/panels/attention