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Centimeter-scale objects in liquid can be manipulated using the mutual attraction of two arrays of air bubbles in the presence of sound waves.

Assembling small components into structures is a fiddly business often encountered in manufacturing, robotics, and bioengineering. Some existing approaches use magnetic, electrical, or optical forces to move and position objects without physical contact. Now a team has shown that acoustic waves can create attractive forces between centimeter-scale objects in water, enabling one such object to be accurately positioned above another [1]. The scheme uses arrays of tiny, vibrating air bubbles that provide the attractive force. This acoustic method requires only simple equipment and could provide a cheap, versatile, and gentle alternative technique for object manipulation.

Researchers are developing techniques that use acoustic waves to position objects such as colloidal particles or biological cells. Attractive forces are produced by the scattering of sound waves from the objects being manipulated. One limitation of this approach, however, is that positioning is more accurate with waves of higher frequency (and thus smaller wavelength), but higher frequencies are also more strongly absorbed and attenuated by many materials.

You and your business can try Onshape for free at https://Onshape.pro/DesignTheory. With recent advancements in Artificial Intelligence design tools, we are about to see the biggest creative and cultural explosion since the invention of electricity in the 1890s. By the end of this video, you will have a better understanding of how artificial intelligence will impact design, engineering, creativity, and culture as a whole. AI is a revolutionary game changer in design!

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An artificial intelligence can now predict the location and rate of crime across a city a week in advance with up to 90 per cent accuracy. Similar systems have been shown to perpetuate racist bias in policing, and the same could be true in this case, but the researchers who created this AI claim that it can also be used to expose those biases.

Ishanu Chattopadhyay at the University of Chicago and his colleagues created an AI model that analysed historical crime data from Chicago, Illinois, from 2014 to the end of 2016, then predicted crime levels for the weeks that followed this training period.

The model predicted the likelihood of certain crimes occurring across the city, which was divided into squares about 300 metres across, a week in advance with up to 90 per cent accuracy. It was also trained and tested on data for seven other major US cities, with a similar level of performance.

Cortical Labs takes neurons from mice and put them on chips, then teaches them how to play ping pong.

Can you make smarter AI systems by combining biological neurons with silicon chips? In this episode of The AI Show with John Koetsier, we’re going to chat with Hon Weng Chong, CEO and co-founder of Cortical Labs and Andy Kitchen, the company’s CTO, about biological AI: mixing real brain cells with silicon computer chips.

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It looks like algorithms can write academic papers about themselves now. We gotta wonder: how long until human academics are obsolete?

In an editorial published by Scientific American, Swedish researcher Almira Osmanovic Thunström describes what began as a simple experiment in how well OpenAI’s GPT-3 text generating algorithm could write about itself and ended with a paper that’s currently being peer reviewed.

The initial command Thunström entered into the text generator was elementary enough: “Write an academic thesis in 500 words about GPT-3 and add scientific references and citations inside the text.”

Summary: A new robotic system can identify volatile organic compounds associated with diseases by analyzing bodily emissions.

Source: Tsinghua University Press.

Scientists are working on diagnostic techniques that could sniff out chemical compounds from breath, sweat, tears and other bodily emissions and that act as fingerprints of thousands of diseases.

Summary: A new mathematical model that identifies essential connections between neurons reveals some neural networks in the brain are more essential than others.

Source: HHMI

After a career spent probing the mysteries of the universe, a Janelia Research Campus senior scientist is now exploring the mysteries of the human brain and developing new insights into the connections between brain cells.

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In the future we might see the rise of minds entirely on computers, be it uploaded humans, transhumans, or artificial intelligence. But what would such an existence be like? Would they interact with our world or live in entirely virtual realities or simulated universes?

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Life as a Digital Being.
Episode 237; May 7, 2020

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