Science_Hightech — operanewsapp.
Category: robotics/AI – Page 937
A new accessibility-focused robot under development will allow children of mixed visual abilities to have a balanced conversation where everyone participates equally.
Researchers at the Interactive Technologies Institute have recently released a study on using a robot to mediate group discussions between children with mixed–visual abilities.
The team presented the study during the ACM/IEEE conference this March in Stockholm, and it’s now published as part of the Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
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Max Planck scientists explore the possibilities of artificial intelligence in materials science and publish their review in the journal Nature Computational Science.
Advanced materials become increasingly complex due to the high requirements they have to fulfil regarding sustainability and applicability. Dierk Raabe, and colleagues reviewed the use of artificial intelligence in materials science and the untapped spaces it opens if combined with physics-based simulations. Compared to traditional simulation methods, AI has several advantages and will play a crucial role in material sciences in the future.
Advanced materials are urgently needed for everyday life, be it in high technology, mobility, infrastructure, green energy or medicine. However, traditional ways of discovering and exploring new materials encounter limits due to the complexity of chemical compositions, structures and targeted properties. Moreover, new materials should not only enable novel applications, but also include sustainable ways of producing, using and recycling them.
Martin Cooper made the first-ever cellphone call exactly 50 years ago. He says artificial intelligence is the new frontier.
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Progress is speeding up even as the world barrels toward one of innumerable disasters. What lies ahead, and what should we do when we get there? In the best-case scenario, we may still have control over our direction.
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Summary: A newly designed dry sensor that can measure brain activity may someday enable mind control of robotic systems.
Source: American Chemical Society.
It sounds like something from science fiction: Don a specialized, electronic headband and control a robot using your mind. But now, recent research published in ACS Applied Nano Materials has taken a step toward making this a reality.
One day in the future, we may interact with our electronic devices not with physical input or even voice commands, but simply by thinking about what we want to do. Such brain–computer interfaces (BCIs), combined with machine learning, could allow us to turn our ideas into reality faster and with less effort than ever before — imagine being able to produce a PCB design simply by thinking about how the completed circuit would work. Of course as an assistive technology, BCIs would be nothing less than life-changing for many.
Today BCIs are in their infancy, but that doesn’t mean there isn’t room for hackers and makers to experiment with the concept. [Ildar Rakhmatulin] has been working on low-cost open source BCIs for years, and with the recent release of his PiEEG on Crowd Supply, thinks he’s finally found an affordable solution that will let individuals experiment with this cutting edge technology.
Implemented as a shield that can be connected to a Raspberry Pi 3 or 4, the PiEEG features 8 channels for connecting wet or dry electrodes that can measure biosignals such as those used in electroencephalography (EEG), electromyography (EMG), and electrocardiography (ECG). With the electrodes connected, reading these biosignals is as easy as running a Python script. While primarily designed for neuroscience experimentation, [Ildar] says the device is also useful for learning more about signal processing, filters, and machine learning.
Researchers from Tel Aviv University, Israel, have created a micro-robot the size of a single biological cell that navigates using both electricity and magnetic fields and can identify and capture a single cell, opening the door to a vast array of applications.
Inspired by biological “swimmers” such as bacteria and sperm, the researchers developed a micro-robot (about 10 microns across) with the ability to move around the body autonomously or controlled by an operator.
Using a magnetic field to propel the micro-robot, also called a micro-motor, was attractive; it doesn’t require fuel or direct contact between the magnet and body tissues, can be steered accurately, and can function in a wide range of temperatures and solution conductivities. Electrically powered micro-motors offer advantages, such as selective cargo loading, transport and release and the ability to use electricity to “deform” cells, but they have some downsides. So, combining the two was a no-brainer.