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Some species of deaf moths can absorb as much as 85 per cent of the incoming sound energy from predatory bats—who use echolocation to detect them. The findings, published in the Journal of the Royal Society Interface today, reveal the moths, who are unable to hear the ultrasonic calls of bats, have evolved this clever defensive strategy to help it survive.

Bats hunt at night using echolocation. The technique, which is also known as biological sonar, first evolved around 65 million years ago and enables bats to search for and find prey putting huge predation pressure on nocturnal insects. One defence that many nocturnal insects evolved is the ability to hear the ultrasonic calls of bats, which allows them to actively evade approaching bats.

Many moth species, however, cannot hear. The team of researchers from the University of Bristol wanted to investigate the alternative defences against bats that some species of deaf moths might have evolved.

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Scientists from Imperial College London have proposed a new regulatory framework for assessing the impact of AI, called the Human Impact Assessment for Technology (HIAT).

The researchers believe the HIAT could identify the ethical, psychological and social risks of technological progress, which are already being exposed in a growing range of applications, from voter manipulation to algorithmic sentencing.

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For now, it’s a simple network. But, it could be an important first step toward smarter and more adaptive prosthetics and brain-computer interfaces — and potentially lay the groundwork for a world where neural implants create real brain networks.

“On one side it sets the basis for a novel scenario that was never encountered during natural evolution, where biological and artificial neurons are linked together and communicate across global networks; laying the foundations for the Internet of Neuro-electronics,” Themis Prodromakis, a nanotechnology researcher and director at the University of Southampton’s Centre for Electronics Frontiers said in a press release.

“On the other hand, it brings new prospects to neuroprosthetic technologies, paving the way towards research into replacing dysfunctional parts of the brain with AI chips.”

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Cardiologists at The Ohio State University Wexner Medical Center are the first in the United States to test a new type of ablation technology for patients suffering from atrial fibrillation, a common type of irregular heartbeat.

The team is participating in a global clinical trial to assess pulsed field ablation (PFA) technology to treat patients with atrial fibrillation. Developed by.

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Ogba Educational Clinic

A nightmarish scene was burnt into my memory nearly two decades ago: Changainjie, Beijing’s normally chaotic “fifth avenue,” desolate without a sign of life. Schools shut, subways empty, people terrified to leave their homes. Every night the state TV channels reported new cases and new deaths. All the while, we had to face a chilling truth: the coronavirus, SARS, was so novel that no one understood how it spread or how to effectively treat it. No vaccines were in sight. In the end, it killed nearly 1,000 people.

It’s impossible not to draw parallels between SARS and the new coronavirus outbreak, COVID-19, that’s been ravaging China and spreading globally. Yet the response to the two epidemics also starkly highlights how far biotech and global collaborations have evolved in the past two decades. Advances in genetic sequencing technologies, synthetic biology, and open science are reshaping how we deal with potential global pandemics. In a way, the two epidemics hold up a mirror to science itself, reflecting both technological progress and a shift in ethos towards collaboration.

Let me be clear: any response to a new infectious disease is a murky mix of science, politics, racism, misinformation, and national egos. It’s naïve to point to better viral control and say it’s because of technology alone. Nevertheless, a comparison of the two outbreaks dramatically highlights how the scientific world has changed, for the better, in the last two decades.

Continue reading “How to Battle an Epidemic? Digitize Its DNA and Share It With the World” | >

D-Wave today announced the launch of Leap 2, the latest version of its quantum cloud service that gives developers real-time access to its hardware quantum systems.

As the company notes, Leap 2 was built with the feedback of thousands of developers in mind who used the previous generation of the service since it launched 18 months ago.

At the core of Leap 2 is D-Wave’s new hybrid solver that can handle complex problems with up to 10,000 variables. As a hybrid system, D-Wave uses both classical and quantum hardware to solve these problems.

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