Robots can convince other robots to do something.
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Erbai, a robot built by a Chinese start-up, was seen in August, in footage recently released, persuading other robots to flee from an exhibition hall and “go home”
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Southeast Asia’s emerging economies are vying to become a top AI hub — a race that has them both coming together and, quietly, battling among themselves.
The Association of Southeast Asian Nations (ASEAN), made up of 10 countries with a combined population of 672 million people, already has some advantages when compared to Europe or the U.S.
With over 200 million people aged 15 to 34, the region’s youthful and largely tech savvy populations make the region adaptable to future technological advances. That, combined with government support for accelerating AI in the region, could deliver substantial rewards for local workers.
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using IdeogramI recently started an AI-focused educational newsletter, that already has over 170,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers, and concepts. Please give it a try by subscribing below:
RAVEN (Robotic Avian-inspired Vehicle for multiple ENvironments) (Image: © Alain Herzog CC BY SA) EPFL researchers have built a drone that can walk, hop, and jump into flight with the aid of birdlike legs, greatly expanding the range of potential environments accessible to unmanned aerial vehicles.
For human researchers, it takes many years of work to discover new super-resolution microscopy techniques. The number of possible optical configurations of a microscope—for example, where to place mirrors or lenses—is enormous.
Researchers at the Max Planck Institute for the Science of Light (MPL) have developed an artificial intelligence (AI) framework which autonomously discovers new experimental designs in microscopy. The framework, called XLuminA, performs optimizations 10,000 times faster than well-established methods.
The researchers’ work is published in Nature Communications.
