Nov 28, 2022
The weird and wonderful art created when AI and humans unite
Posted by Kelvin Dafiaghor in category: robotics/AI
Will AI kill art? Not likely, says the artist Alexander Reben, who has been working with AI for years.
Archive for the ‘robotics/AI’ category: Page 832
Nov 28, 2022
AI invents millions of materials that don’t yet exist
Posted by Kelvin Dafiaghor in categories: information science, robotics/AI
UC San Diego nanoengineering professor Shyue Ping Ong described M3GNet as “an AlphaFold for materials”, referring to the breakthrough AI algorithm built by Google’s DeepMind that can predict protein structures.
“Similar to proteins, we need to know the structure of a material to predict its properties,” said Professor Ong.
“We truly believe that the M3GNet architecture is a transformative tool that can greatly expand our ability to explore new material chemistries and structures.”
Nov 28, 2022
CEO of AI Startup Says Many AI Startups Will Fail Because They’re Making a Serious Mistake
Posted by Kelvin Dafiaghor in category: robotics/AI
This CEO says generative AI is all flash, no substance — and ultimately, will fail to generate major new revenue streams for VCs’ billions.
Nov 28, 2022
Novel method automates the growth of brain tissue organoids on a chip
Posted by Shubham Ghosh Roy in categories: biotech/medical, internet, robotics/AI
A team of engineers at UC Santa Cruz has developed a new method for remote automation of the growth of cerebral organoids—miniature, three-dimensional models of brain tissue grown from stem cells. Cerebral organoids allow researchers to study and engineer key functions of the human brain with a level of accuracy not possible with other models. This has implications for understanding brain development and the effects of pharmaceutical drugs for treating cancer or other diseases.
In a new study published in the journal Scientific Reports, researchers from the UCSC Braingeneers group detail their automated, internet-connected microfluidics system, called “Autoculture.” The system precisely delivers feeding liquid to individual cerebral organoids in order to optimize their growth without the need for human interference with the tissue culture.
Cerebral organoids require a high level of expertise and consistency to maintain the precise conditions for cell growth over weeks or months. Using an automated system, as demonstrated in this study, can eliminate disturbance to cell culture growth caused by human interference or error, provide more robust results, and allow more scientists access to opportunities to conduct research with human brain models.
Nov 28, 2022
End Game
Posted by Dan Breeden in categories: biotech/medical, drones, economics, education, robotics/AI
https://youtube.com/watch?v=-ZeeuDrknYc
Technology — An investigation into the advancements in digital technology unique to the gaming industry. They can either enhance our lives and make the world a better place to live, or we may find ourselves in a dystopian future where we are ruled and controlled by the very technologies we rely on.
End Game — Technology (2021)
Director: J. Michael Long.
Writers: O.H. Krill.
Stars: Paul Jamison, Razor Keeves.
Genre: Documentary.
Country: United States.
Language: English.
Release Date: 2021 (USA)
Nov 28, 2022
Spooky entanglement revealed between quantum AI and the BBC
Posted by Jose Ruben Rodriguez Fuentes in categories: quantum physics, robotics/AI
Nov 28, 2022
Steerable soft robots could enhance medical applications
Posted by Shubham Ghosh Roy in categories: biotech/medical, robotics/AI
Borrowing from methods used to produce optical fibers, researchers from EPFL and Imperial College have created fiber-based soft robots with advanced motion control that integrate other functionalities, such as electric and optical sensing and targeted delivery of fluids.
In recent decades, catheter-based surgery has transformed medicine, giving doctors a minimally invasive way to do anything from placing stents and targeting tumors to extracting tissue samples and delivering contrast agents for medical imaging. While today’s catheters are highly engineered robotic devices, in most cases, the task of pushing them through the body to the site of intervention continues to be a manual and time-consuming procedure.
Combining advances in the development of functional fibers with developments in smart robotics, researchers from the Laboratory of Photonic Materials and Fiber Devices in EPFL’s School of Engineering have created multifunctional catheter-shaped soft robots that, when used as catheters, could be remotely guided to their destination or possibly even find their own way through semi-autonomous control. “This is the first time that we can generate soft catheter-like structures at such scalability that can integrate complex functionalities and be steered, potentially, inside the body,” says Fabien Sorin, the study’s principal investigator. Their work was published in the journal Advanced Science.
Nov 28, 2022
Japanese railway company to use a giant humanoid robot for fixing power lines
Posted by Shubham Ghosh Roy in categories: employment, robotics/AI
The West Japan Rail Company, also known as JR West, has unveiled its giant worker robot that can be tasked to carry out jobs that are considered risky for humans, New Atlas reported.
【News Release】 生産性・安全性向上に向けて、株式会社人機一体および日本信号株式会社と共同で、人型重機ロボットと鉄道工事用車両を融合させた多機能鉄道重機を開発しています。
詳しくはこちらをご覧ください。 https://www.westjr.co.jp/press/article/items/220415_01_robot.pdf pic.twitter.com/FBVjIe1xCC — JR西日本ニュース【公式】 (@news_jrwest) April 15, 2022
Nov 27, 2022
We made thousands selling AI-generated books
Posted by Shubham Ghosh Roy in categories: employment, robotics/AI
Many creative people have been seeing the writing on the wall: AI is coming for your jobs. That is, if you’re one of the lucky ones able to live off your creative work in the first place — which precious few are. We actually think, however, that this is a needlessly fearful and…
Nov 27, 2022
Research: AI tailors artificial DNA for future drug development
Posted by Gemechu Taye in categories: biological, biotech/medical, food, genetics, robotics/AI
With the help of AI, researchers at Chalmers University of Technology, Sweden, have succeeded in designing synthetic DNA that controls the cells’ protein production. The technology can contribute to the development and production of vaccines, drugs for severe diseases, as well as alternative food proteins much faster and at significantly lower costs than today. How our genes are expressed is a process that is fundamental to the functionality of cells in all living organisms. Simply put, the genetic code in DNA is transcribed to the molecule messenger RNA (mRNA), which tells the cell’s factory which protein to produce and in which quantities.
Researchers have put a lot of effort into trying to control gene expression because it can, among other things, contribute to the development of protein-based drugs. A recent example is the mRNA vaccine against Covid-19, which instructed the body’s cells to produce the same protein found on the surface of the coronavirus. The body’s immune system could then learn to form antibodies against the virus. Likewise, it is possible to teach the body’s immune system to defeat cancer cells or other complex diseases if one understands the genetic code behind the production of specific proteins. Most of today’s new drugs are protein-based, but the techniques for producing them are both expensive and slow, because it is difficult to control how the DNA is expressed. Last year, a research group at Chalmers, led by Aleksej Zelezniak, Associate Professor of Systems Biology, took an important step in understanding and controlling how much of a protein is made from a certain DNA sequence.
“First it was about being able to fully ‘read’ the DNA molecule’s instructions. Now we have succeeded in designing our own DNA that contains the exact instructions to control the quantity of a specific protein,” says Aleksej Zelezniak about the research group’s latest important breakthrough. The principle behind the new method is similar to when an AI generates faces that look like real people. By learning what a large selection of faces looks like, the AI can then create completely new but natural-looking faces. It is then easy to modify a face by, for example, saying that it should look older, or have a different hairstyle. On the other hand, programming a believable face from scratch, without the use of AI, would have been much more difficult and time-consuming. Similarly, the researchers’ AI has been taught the structure and regulatory code of DNA. The AI then designs synthetic DNA, where it is easy to modify its regulatory information in the desired direction of gene expression.
