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How neurons autonomously regulate their excitability

Nerve cells can regulate their sensitivity to incoming signals autonomously. A new study led by the University of Bonn has now discovered a mechanism that does just that. The German Center for Neurodegenerative Diseases and the Max Planck Institute for Neurobiology of Behavior were involved in the work. The results have now been published in the journal Cell Reports.

Anyone who has ever sent a voice message with a knows how much the volume matters: Shouting into the microphone results in a distorted and unclear recording. But whispering is not a good idea either—then the result is too quiet and also difficult to understand. That is why sound engineers ensure the perfect sound at every concert and talk show: They regulate each microphone’s gain to match the input signal.

The neurons in the brain can also fine-tune their sensitivity, and even do so autonomously. A new study led by the University of Bonn and the University Hospital Bonn shows how they do this. For this purpose, the participants investigated nerve cell networks that also play a role in vision, hearing and touch. The stimulus first travels to the so-called thalamus, a structure deep in the center of the brain. From there, it is then conducted to the , where it is further processed.

AI robot terrifies officials, explains our illusion, with Elon Musk

AI robots fly, sing, dance, carry cars and respond to Elon Musk. Incredible new robots join Ameca and Boston Dynamics.

To learn more about AI, please visit https://brilliant.org/digitalengine where you’ll also find loads of fun courses on maths, science and computer science.

Here’s the first video on our new channel, Go Rogue:
https://youtu.be/k07unSpmBSg.

Thanks to Brilliant for sponsoring this video.

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A new AI testing system could help unlock secrets of the human genome

The new method, called GOPHER, helps researchers to determine the best AI program to use for analyzing the human genome.

Artificial intelligence (AI) is an innovative tool that can be trained to make predictions and solve problems quickly and with accuracy. However, the reasoning behind the output, or information sent out after the AI software receives input from datasets, is not yet clearly understood.

Understanding how AI creates its predictions.


Metamorworks/iStock.

Researchers have been trying to comprehend the way AI produces information and what rules and regulations the AI follows, or creates, as it processes data.

Microphone-equipped toilet will detect diseases and give you advice

The microphone sensor can classify bowel diseases using machine learning.

There are many diseases that could potentially be detected through human waste. One such infection includes cholera. Cholera is a bacterial disease.

Cholera is spread through contaminated food and water. Large epidemics that spread the bacterium are related to fecal contamination of water or food. It can sometimes be spread through undercooked shellfish and other seafood-related infections, as well. is spread through contaminated food and water. Large epidemics that spread the bacterium are related to fecal contamination of water or food. It can sometimes be spread through undercooked shellfish and other seafood-related infections, as well.

A design company has turned a Tesla Semi into an RV concept

Imagine having an autonomous RV.

We all love and dream of having an RV, but having an electric-powered autonomous RV could be the ultimate dream. There are many RV designs on trucks, but having an autonomous truck that drives you anywhere you wish while doing the chores could be the future of both transport and housing.

Based on the specifications Tesla revealed this week and how amazing these renderings of the electric truck as a motorhome appear, the Tesla Semi may become a fantastic electric-powered luxury RV.

Many individuals find the concept of an entirely solar-and electric-powered camper very appealing.


Jowua/Twitter.

There are many RV designs on trucks, but having an autonomous truck that drives you anywhere you wish while doing the chores could be the future of both transport and housing.

Advanced “Lab on a Chip” — Scientists Have Created a Powerful, Ultra-Tiny Spectrometer

Researchers in the field of optical spectrometry have created a better instrument for measuring light. This advancement could improve everything from smartphone cameras to environmental monitoring.

The research, led by Finland’s Aalto University, developed a powerful, incredibly small spectrometer that fits on a microchip and is run by artificial intelligence. Their research was recently published in the journal Science.

The study used a relatively new class of super-thin materials known as two-dimensional semiconductors, and the result is a proof of concept for a spectrometer that could be easily integrated into a number of technologies such as quality inspection platforms, security sensors, biomedical analyzers, and space telescopes.

Implementing a MRIdian program

Join the audience for a Women in Medical Physics live webinar at 3 p.m. GMT/10 a.m. EST on 14 December 2022 exploring how to begin a new MR-Linac program for MRIdian in your radiation oncology department.

MRIdian is the world’s first radiation therapy system to integrate a diagnostic-quality MRI with an advanced linear accelerator and the only system with MR-guided, real-time, 3D, multiplanar soft-tissue tracking and automated beam control. MRIdian offers precise and personalized care through on-table adaptive treatments without the need for fiducials. The technological foundations of MRIdian allows for the delivery of ablative dose with tighter margins in five or fewer fractions, all while maintaining low to no toxicity. With tens of thousands of patients treated, and an ever-growing body of clinical evidence, MRIdian is leading the MRI-guided revolution in radiation therapy.

AI-designed structured material creates super-resolution images using a low-resolution display

One of the promising technologies being developed for next-generation augmented/virtual reality (AR/VR) systems is holographic image displays that use coherent light illumination to emulate the 3D optical waves representing, for example, the objects within a scene. These holographic image displays can potentially simplify the optical setup of a wearable display, leading to compact and lightweight form factors.

On the other hand, an ideal AR/VR experience requires relatively to be formed within a large field-of-view to match the resolution and the viewing angles of the human eye. However, the capabilities of holographic image projection systems are restricted mainly due to the limited number of independently controllable pixels in existing image projectors and spatial light modulators.

A recent study published in Science Advances reported a deep learning-designed transmissive material that can project super-resolved images using low-resolution image displays. In their paper titled “Super-resolution image display using diffractive decoders,” UCLA researchers, led by Professor Aydogan Ozcan, used deep learning to spatially-engineer transmissive diffractive layers at the wavelength scale, and created a material-based physical image decoder that achieves super-resolution image projection as the light is transmitted through its layers.

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