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Jan 10, 2023

Newly discovered anatomy shields and monitors brain

Posted by in categories: biotech/medical, neuroscience, robotics/AI

From the complexity of neural networks to basic biological functions and structures, the human brain only reluctantly reveals its secrets. Advances in neuro-imaging and molecular biology have only recently enabled scientists to study the living brain at level of detail not previously achievable, unlocking many of its mysteries. The latest discovery, described today in the journal Science, is a previously unknown component of brain anatomy that acts as both a protective barrier and platform from which immune cells monitor the brain for infection and inflammation.

The new study comes from the labs of Maiken Nedergaard, co-director of the Center for Translational Neuromedicine at University of Rochester and the University of Copenhagen and Kjeld Møllgård, M.D., a professor of neuroanatomy at the University of Copenhagen. Nedergaard and her colleagues have transformed our understanding of the fundamental mechanics of the human brain and made significant findings to the field of neuroscience, including detailing the many critical functions of previously overlooked cells in the brain called glia and the brain’s unique process of waste removal, which the lab named the glymphatic system.

“The discovery of a new anatomic structure that segregates and helps control the flow of cerebrospinal fluid (CSF) in and around the brain now provides us much greater appreciation of the sophisticated role that CSF plays not only in transporting and removing waste from the brain, but also in supporting its immune defenses,” said Nedergaard.

Jan 10, 2023

Scientists discover ‘zone of uncertainty’ enables the brain to rapidly form new memories

Posted by in category: robotics/AI

The neocortex is the largest and most complex part of the brain and has long been recognized as the ultimate storage site for memories. But how are traces of past events and experiences laid down there? Scientists at the Max Planck Institute for Brain Research and the University of Freiburg Medical School have discovered that a little understood brain area, the zona incerta, has an unconventional way of communicating with the neocortex to rapidly control memory formation.

Memory is one of the most fundamental and fascinating functions of the brain, allowing us to learn from experience and remember our past. It is therefore a central element of our individual and collective human identity. Moreover, a mechanistic understanding of memory has implications reaching from treatment of memory and anxiety disorders, to artificial intelligence and efficient hard-and software design, and is therefore not only of great interest, but also of great importance.

In order to form memories, the brain needs to build associations between that come “bottom-up” (or outside-in) from the environment, and internally-generated “top-down” signals that convey information about past experiences and current aims. These top-down (or inside-out) signals continue to be enigmatic and are therefore a major focus of current research.

Jan 10, 2023

Sentient AI — GPT3 vs LaMDA

Posted by in category: robotics/AI

Ex-Google engineer Blake Lemoine discusses sentient AI
https://www.techtarget.com/searchenterpriseai/feature/Ex-Goo…entient-AI

Interview with LaMDA

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Jan 10, 2023

Will AI Eventually Take Over The World? GPT-3 Responds

Posted by in category: robotics/AI

GPT-3 reveals why it thinks AI will eventually take over the world…

✔️ More GPT-3 Interviews: https://www.youtube.com/playlist?list=PLy-h3fhzw40tfAsCMBXBduszV3ZZnZKqu.

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Jan 10, 2023

Bengali actress Aindrila Sharma dies at 24; can cancer cause cardiac arrest?

Posted by in category: biotech/medical

Due to cancer lots of people dies every year.


Popular Bengali actress Aindrila Sharma, 24, died on Sunday after suffering from multiple cardiac arrests. She was also a cancer survivor. Can cancer and its treatment affect heart? Here’s what experts have to say.

Jan 10, 2023

Mapping endometriosis: A vast cellular atlas is created

Posted by in categories: biotech/medical, genetics

Investigators at Cedars-Sinai have created a unique and detailed molecular profile of endometriosis to help improve therapeutic options for the millions of women suffering from the disease.

The study is published today in the journal Nature Genetics.

“Endometriosis has been an understudied in part because of limited cellular data that has hindered the development of effective treatments. In this study we applied a new technology called , which allowed us to profile the many different cell types contributing to the disease,” said Kate Lawrenson, Ph.D., an associate professor in the Department of Obstetrics and Gynecology at Cedars-Sinai, and co-senior and corresponding author of the study.

Jan 10, 2023

What’s inside the ‘world’s ugliest animal,’ the blobfish

Posted by in category: futurism

The blobfish was crowned the world’s ugliest animal in 2013 — a title it still defends today. But drop it 9,200 feet below sea level, and the water holds up all that flab like a push-up bra, making the fish a little more handsome.

Jan 10, 2023

Fruit flies help researchers decode genetic link to Alzheimer’s disease

Posted by in categories: biotech/medical, genetics, neuroscience

Researchers have used fruit flies to decipher an unexplained connection between Alzheimer’s disease and a genetic variation, revealing that it causes neurons to die.

The findings from the Walter and Eliza Hall Institute (WEHI)-led team uncover a possible cause of neurodegeneration in the early stages of Alzheimer’s and open the door for the future development of new treatments for cognitive diseases.

The study, “An increase in mitochondrial TOM activates apoptosis to drive retinal neurodegeneration,” with collaborators from Australian National University, is published in Scientific Reports.

Jan 10, 2023

A new method to evaluate thermoelectric materials

Posted by in categories: materials, nanotechnology

Working with one of the world’s preeminent thermoelectric materials researchers, a team of researchers in the Clemson Department of Physics and Astronomy and the Clemson Nanomaterials Institute (CNI) has developed a new, fool-proof method to evaluate thermoelectric materials.

Department of Physics and Astronomy Research Assistant Professor Sriparna Bhattacharya, Engineer Herbert Behlow, and CNI Founding Director Apparao Rao collaborated with world-renowned researcher H. J. Goldsmid, professor emeritus at the University of New South Wales (UNSW) in Sydney, Australia, to create a one-stop method for evaluating the efficiency of .

Goldsmid is considered by many to be the “father of thermoelectrics” for his pioneering work in thermoelectric materials. Bhattacharya first connected with Goldsmid on LinkedIn, telling him she had confirmed one of his theoretical predictions during her graduate studies at Clemson University.

Jan 10, 2023

Deep learning-designed diffractive processor computes hundreds of transformations in parallel

Posted by in category: robotics/AI

In today’s digital age, computational tasks have become increasingly complex. This, in turn, has led to an exponential growth in the power consumed by digital computers. Thus, it is necessary to develop hardware resources that can perform large-scale computing in a fast and energy-efficient way.

In this regard, , which use light instead of electricity to perform computations, are promising. They can potentially provide lower latency and reduced power consumption, benefiting from the parallelism that have. As a result, researchers have explored various optical computing designs.

For instance, a diffractive optical is designed through the combination of optics and deep learning to optically perform complex computational tasks such as image classification and reconstruction. It comprises a stack of structured diffractive layers, each having thousands of diffractive features/neurons. These passive layers are used to control light-matter interactions to modulate the input light and produce the desired output. Researchers train the diffractive network by optimizing the profile of these layers using tools. After the fabrication of the resulting design, this framework acts as a standalone optical processing module that only requires an input illumination source to be powered.