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Jul 12, 2022

Cells To Silicon: Your Brain In 2050

Posted by in categories: computing, neuroscience

At present, our brains are mostly dependent on all the stuff below the neck to turn thought into action. But advances in neuroscience are making it easier than ever to hook machines up to minds. See neuroscientists John Donoghue and Sheila Nirenberg, computer scientist Michel Maharbiz, and psychologist Gary Marcus discuss the cutting edge of brain-machine interactions in “Cells to Silicon: Your Brain in 2050,” part of the Big Ideas series at the 2014 World Science Festival.

This program is part of the Big Ideas Series, made possible with support from the John Templeton Foundation.

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Jul 12, 2022

The Most Powerful Computers You’ve Never Heard Of…

Posted by in category: computing

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Jul 12, 2022

It looks like a mini monster vehicle

Posted by in category: transportation

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Jul 12, 2022

Humanity getting lost in the MATRIOSHKA Brain🤖

Posted by in categories: computing, finance, space travel

A Matrioshka Brain is a supermassive structure in space consisting of processors and connected to each other into a massive computer around a sun harnessing its energy completely. So far we haven’t built one as we don’t have the technology for it but when we do the question will be if people will be lost in the vast computing power of the Matrishka brain.

Watch all 3 videos with Brendan Caulfield:
3. Future of Humanity https://youtu.be/XbhWEDhcdFk.
2. The Rockets of SpaceX 🚀https://youtu.be/VPgVS9qgBEM
1. The CAR company that will take us to SPACE🚀 https://youtu.be/Y0jiGkAH-pE

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Jul 11, 2022

Scientists Have Engineered Parasitic Worms That Can Kill Cancer Cells

Posted by in categories: biotech/medical, materials

Nematodes, a specific sort of microscopic worm, have been proven by Osaka University researchers to be capable of killing cancer cells, according to Interesting Engineering and SciTechDaily.

The study titled “Nematode surface functionalization with hydrogel sheaths tailored in situ” by Wildan Mubarok, Masaki Nakahata, Masaru Kojima and Shinji Sakai showed that Hydrogel-based “sheaths” that can be further modified to transport useful cargo (cancer-killing substances) could be applied to these worms as a coating.

Jul 11, 2022

Scientists are searching for solutions after studies show pulse oximeters don’t work as well for people of color

Posted by in categories: biotech/medical, health

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Often when Dr. Thomas Valley sees a new patient in the intensive care unit at Michigan Medicine in Ann Arbor, he clamps a pulse oximeter on their finger – one of the many devices he uses to gauge their health and what course of care they might require, whether they are a child having seizures, a teenage car accident victim or an older person with Covid-19.

But recently, Valley, an assistant professor in the University of Michigan’s Division of Pulmonary and Critical Care, realized first-hand that the small device may yield less accurate oxygen readings in patients with dark skin.

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Jul 11, 2022

The ultimate fate of a star shredded by a black hole

Posted by in categories: cosmology, materials

In 2019, astronomers observed the nearest example to date of a star that was shredded, or “spaghettified,” after approaching too close to a massive black hole.

That tidal disruption of a sun-like star by a black hole 1 million times more massive than itself took place 215 million from Earth. Luckily, this was the first such event bright enough that astronomers from the University of California, Berkeley, could study the optical light from the stellar death, specifically the light’s polarization, to learn more about what happened after the star was torn apart.

Their observations on Oct. 8, 2019, suggest that a lot of the star’s material was blown away at high speed—up to 10,000 kilometers per second—and formed a spherical cloud of gas that blocked most of the high-energy emissions produced as the black hole gobbled up the remainder of the star.

Jul 11, 2022

AI researchers tackle longstanding ‘data heterogeneity’ problem for federated learning

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

Researchers from North Carolina State University have developed a new approach to federated learning that allows them to develop accurate artificial intelligence (AI) models more quickly and accurately. The work focuses on a longstanding problem in federated learning that occurs when there is significant heterogeneity in the various datasets being used to train the AI.

Federated learning is an AI training technique that allows AI systems to improve their performance by drawing on multiple sets of data without compromising the privacy of that data. For example, federated learning could be used to draw on privileged patient data from multiple hospitals in order to improve diagnostic AI tools, without the hospitals having access to data on each other’s patients.

Federated learning is a form of machine learning involving multiple devices, called clients. The clients and a centralized server all start with a basic model designed to solve a specific problem. From that starting point, each of the clients then trains its local model using its own data, modifying the model to improve its performance. The clients then send these “updates” to the centralized server. The centralized server draws on these updates to create a , with the goal of having the hybrid model perform better than any of the clients on their own. The central server then sends this hybrid model back to each of the clients. This process is repeated until the system’s performance has been optimized or reaches an agreed-upon level of accuracy.

Jul 11, 2022

The Future of Earth: 1000 Years From Now

Posted by in categories: climatology, sustainability

The Future of Earth: 1,000 Years From Now.


In the last 250 years, humans have drastically and irreversibly transformed the Earth. Greenhouse gases emitted by human industries have changed the planet’s climate, presenting the single greatest threat humanity has ever faced. If humans can cause such incredible damage to the Earth in 250 years, what will our planet look like in 1,000 years time?

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Jul 11, 2022

A new approach to enhance multi-fingered robot hand manipulation

Posted by in category: robotics/AI

In recent years, roboticists have developed increasingly advanced robotic systems, many of which have artificial hands or robot hands with multiple fingers. To complete everyday tasks in both homes and public settings, robots should be able to use their “hands” to efficiently grasp and manipulate objects.

Enabling dexterous manipulation involving multiple fingers in robots, however, has so far proved challenging. This is primarily because it is an advanced skill that entails an adaptation to the shape, weight, and configuration of objects.

Researchers at Universität Hamburg have recently introduced a new approach to teach robots to grasp and manipulate objects using a multi-fingered robotic hand. This approach, introduced in IEEE Transactions on Neural Networks and Learning Systems, allows a robotic hand to learn from humans through teleoperation and adapt its manipulation strategies based on human hand postures and the data gathered when interacting with the environment.