Lifeboat Foundation

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Researchers at the Tulane University School of Medicine are working on a cost-effective, CRISPR-Cas12a-based pathogen detection tool.

Deducing the correct pattern that links pairs of coloured grids is relatively easy for most people, but relies on skills that artificial intelligence models lack. A new $1 million prize hopes to encourage the development of an AI that can solve such puzzles.

By Alex Wilkins

Scientists are using artificial intelligence (AI) to identify new animal species. But can we trust the results?

For now, scientists are using AI just to flag potentially new species; highly specialized biologists still need to formally describe those species and decide where they fit on the evolutionary tree. AI is also only as good as the data we train it on, and at the moment, there are massive gaps in our understanding of Earth’s wildlife.

Year 2017 face_with_colon_three

A two-bit magnetic memory is demonstrated, based on the magnetic states of individual holmium atoms, which are read and written in a scanning tunnelling microscope set-up and are stable over many hours.

In this episode of the 5th Industrial Revolution VODcast we sit down with Dr. Jordan Okie of Arizona State University School of Earth and Space Exploration to discuss a key relevancy to the next industrial revolution, sustainability, through the lens of Dr. Okie’s area of expertise: Ecology and Biology. Our key takeaways: We are in a race against time and extinction. We will need to find a way to evolve through technology to survive, be it here on Earth or in our exploration of Space.

Researchers from the Icahn School of Medicine at Mount Sinai have shed valuable light on the nuanced functions and intricate regulatory methods of RNA editing, a critical mechanism underlying brain development and disease.

In a study published June 26 in Nature Communications, the team reported finding major differences between postmortem and living prefrontal cortex brain tissues as they relate to one of the most abundant RNA modifications in the brain, known as adenosine-to-inosine (A-to-I) editing.

This discovery will play a significant role in shaping the development of diagnostics and therapies for brain diseases.

Johns Hopkins research sheds new light on how mammals track their position and orientation while moving, revealing that visual motion cues alone allow the brain to adjust and recalibrate its internal map even in the absence of stable visual landmarks.

Their results are published in Nature Neuroscience.

“When you move through space, you have a lot of competing sensory information telling you where you are and how fast you are going, and your brain has to make sense of that,” said study co-leader Noah Cowan, professor of mechanical engineering at the Whiting School of Engineering and director of the Locomotion in Mechanical and Biological Systems (LIMBS) Laboratory.

A research team led by Academician Du Jiangfeng and Professor Rong Xing from the University of Science and Technology of China (USTC), part of the Chinese Academy of Sciences (CAS), in collaboration with Professor Jiao Man from Zhejiang University, has used solid-state spin quantum sensors to examine exotic spin-spin-velocity-dependent interactions (SSIVDs) at short force ranges. Their study reports new experimental findings concerning interactions between electron spins and has been published in Physical Review Letters.

The Standard Model is a very successful theoretical framework in particle physics, describing fundamental particles and four basic interactions. However, the Standard Model still cannot explain some important observational facts in current cosmology, such as dark matter and dark energy.

Some theories suggest that new particles can act as propagators, transmitting new interactions between Standard Model particles. At present, there is a lack of experimental research on new interactions related to velocity between spins, especially in the relatively small range of force distance, where experimental verification is almost non-existent.