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Category: robotics/AI – Page 1274

An Interview with COO Dijam Panigrahi.

“a unified and shared software infrastructure to empower enterprise customers to build and run scalable, high-quality eXtended Reality (XR) – Augmented Reality (AR), Virtual Reality (VR) and Mixed Reality (MR) – applications in public, private, and hybrid clouds.”

What does that all mean?

Simply, GridRaster creates spatial, high-fidelity maps of three-dimensional physical objects. So if you plan to build an automobile or aircraft, use the software to capture an image and create a detailed mesh model overlay that can be viewed using a VR headset. The mesh model can be shared with robots and other devices.

Continue reading “GridRaster Uses the Metaverse to Build High Tech Prototypes and Finished Products” | >

The fundamental rotation of micro and nano-objects is crucial for the functionality of micro and nanorobotics, as well as three-dimensional imaging and lab-on-a-chip systems. These optical rotation methods can function fuel-free and remotely, and are therefore better suited for experiments, while current methods require laser beams with designed intensity profiles or objects with sophisticated shapes. These requirements are challenging for simpler optical setups with light-driven rotation of a variety of objects, including biological cells.

In a new report now published in Science Advances, Hongru Ding and a research team in engineering and at the University of Texas at Austin, U.S., developed a universal approach for the out-of-plane rotation of various objects based on an arbitrary low-power laser beam. The scientists positioned the laser source away from the objects to reduce optical damage from direct illumination and combined the rotation mechanism via optothermal coupling with rigorous experiments, coupled to multiscale simulations. The general applicability and biocompatibility of the universal light-driven rotation platform is instrumental for a range of engineering and scientific applications.

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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.

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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!

Become a patron of my channel on Patreon: https://www.patreon.com/JohnMauriello.

Form Fundamentals Online Industrial Design Course: https://bit.ly/335vsqO.

Want to learn more about my work? Check out my portfolio: https://www.studioello.com.

Continue reading “Will Artificial Intelligence End Human Creativity?” | >

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.

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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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