Nagoya University.
Nagoya University, sometimes abbreviated as NU, is a Japanese national research university located in Chikusa-ku, Nagoya. It was the seventh Imperial University in Japan, one of the first five Designated National University and selected as a Top Type university of Top Global University Project by the Japanese government. It is one of the highest ranked higher education institutions in Japan.
Kurzweil says NO, on AI pause non sense.
By Ray Kurzweil April 2023
Regarding the Open Letter to “pause” research on AI “more powerful than GPT-4,” this criterion is too vague to be practical. And the proposal faces a serious coordination problem: those that agree to a pause may fall far behind corporations or nations that disagree. There are tremendous benefits to advancing AI in critical fields such as medicine and health, education, pursuit of renewable energy sources to replace fossil fuels, and scores of other fields. I didn’t sign, because I believe we can address the signers’ safety concerns in a more tailored way that doesn’t compromise these vital lines of research.
A new “all-in-one” stealer malware named EvilExtractor (also spelled Evil Extractor) is being marketed for sale for other threat actors to steal data and files from Windows systems.
“It includes several modules that all work via an FTP service,” Fortinet FortiGuard Labs researcher Cara Lin said. “It also contains environment checking and Anti-VM functions. Its primary purpose seems to be to steal browser data and information from compromised endpoints and then upload it to the attacker’s FTP server.”
The network security company said it observed a surge in attacks spreading the malware in the wild in March 2023, with a majority of the victims located in Europe and the U.S. While marketed as an educational tool, EvilExtractor has been adopted by threat actors for use as an information stealer.
Pneumonia is a potentially fatal lung infection that progresses rapidly. Patients with pneumonia symptoms – such as a dry, hacking cough, breathing difficulties and high fever – generally receive a stethoscope examination of the lungs, followed by a chest X-ray to confirm diagnosis. Distinguishing between bacterial and viral pneumonia, however, remains a challenge, as both have similar clinical presentation.
Mathematical modelling and artificial intelligence could help improve the accuracy of disease diagnosis from radiographic images. Deep learning has become increasingly popular for medical image classification, and several studies have explored the use of convolutional neural network (CNN) models to automatically identify pneumonia from chest X-ray images. It’s critical, however, to create efficient models that can analyse large numbers of medical images without false negatives.
Now, K M Abubeker and S Baskar at the Karpagam Academy of Higher Education in India have created a novel machine learning framework for pneumonia classification of chest X-ray images on a graphics processing unit (GPU). They describe their strategy in Machine Learning: Science and Technology.
Resolving activity in cortical columns and cortical layers in the human brain with ultra-high field fMRI — new insights for biological models of cognitive functions.
Speaker: Rainer Goebel, Maastricht University, Netherlands.
HBP School — The Human Brain Atlas: Neuroscientific basis, tools and applications.
3–7 September 2018
Düsseldorf/Jülich, Germany.
Maastricht, Netherlands.
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Video recorded by Bergrath & Siebert.
Calorie restriction, a proven intervention to slow aging in animals, showed evidence of slowing the pace of biological aging in a human randomized trial.
In a first-of-its-kind randomized controlled trial, an international team of researchers led by the Columbia Aging Center at Columbia University.
Columbia University is a private Ivy League research university in New York City that was established in 1754. This makes it the oldest institution of higher education in New York and the fifth-oldest in the United States. It is often just referred to as Columbia, but its official name is Columbia University in the City of New York.
Every other Wednesday we present a new video, so join us to see the truth laid bare…
Machines are evolving 10 million times faster than we are. Are you ready for robots that run our homes, watch our neighborhoods and even fight our wars? One day in the not too distant future, robots will travel to the far reaches of the universe, they will be the first to colonise new worlds. Robots will lead the way in the exploration of deep space.
Robots, machines of our nightmares, or servants of man? In the 1930s film Metropolis the robot was an evil character, it represented our darkest fears. By the 1950s they had become even more sinister and powerful, but over that last few decades our opinions of robots have dramatically changed, they’ve been reinvented as the police force of the future. But can real robots match the exploits of their celluloid cousins?
While the movies were creating ruthless men of steel, real robots were starting their own painful march into the world. Robots are still basic but over the past few decades they have advanced enormously. Before robots can become the masters of the universe, or even the servants of mankind, they need to accomplish one important thing, they need to move around.
This 1999 documentary includes interviews with prominent roboticists and artificial intelligence specialists. Beginning with robot locomotion and historical clips of ingenious experiments from MIT’s Leg Laboratory, BigDog’s ancestors dynamically walk, hop, trot, and perform impressive gymnastics. To find out the best way for a robot to move around the scientists look to nature. There have been many attempts to copy nature, some successful, others less than perfect.
This film by Ken Gumbs tackles the issue of pending greater-than-human artificial intelligence and the possible ramifications. Different individuals with different backgrounds are interviewed on the subject, including a theologian, a philosopher, a brain builder and a cyborg. A wide spectrum of topics are discussed, including trans-humanism, mind-machine mergers, uploading, and artificial super-intelligence.
To build a workforce that can meet the expected future demand in the quantum sector, we need to train many more quantum-literate educators and marshal support for them.
In 2018 the US federal government passed the National Quantum Initiative Act, a program designed to accelerate the country’s quantum research and development activities. In the next decade, quantum information science and quantum technologies are expected to have a significant impact on the US economy, as well as on that of other countries. To fulfill that promise, the US will need a “quantum-capable” workforce that is conversant with the core aspects of quantum technologies and is large enough to meet the expected demand. But even now, as quantum-career opportunities are just starting to appear, supply falls behind demand; according to a 2022 report, there is currently only around one qualified candidate for every three quantum job openings [1]. We call for education institutions and funding agencies to invest significantly in workforce development efforts to prevent the worsening of this dearth.
Most of today’s jobs in quantum information science and technology (QIST) require detailed knowledge and skills that students typically gain in graduate-level programs [2]. As the quantum industry matures from having a research and development focus toward having a deployment focus, this requirement will likely relax. The change is expected to increase the proportion of QIST jobs compatible with undergraduate-level training. However, 86% of QIST-focused courses currently take place at PhD-granting research institutions [3]. Very few other undergraduate institutions offer opportunities to learn about the subject. To meet the future need, we believe that aspect needs to change with QIST education being incorporated into the curricula at predominantly undergraduate institutions and community colleges in the US. However, adding QIST classes to the curricula at these institutions will be no easy task.
https://youtube.com/watch?v=QHHrph7zDLw&feature=share
How do viruses make more copies of themselves? They do this by taking over human cells. When a virus infects a cell, it hijacks the protein-making machinery of the cell by releasing its own genetic code, or instructions, into the cell. Now, instead of making proteins for the body, the cell starts working for the virus, helping it replicate. The cell makes more and more virus particles that are released to go on and infect more cells.
Play a Kahoot! trivia game based on this animation: http://www.vaccinemakers.org/trivia.
Watch the related animation, “A Virus Attacks a Cell,” to learn how viruses get into our cells to begin the process of reproduction: https://youtu.be/jkNxmTrrZSk.
Animation created by and for the Vaccine Makers Project.
The Vaccine Makers Project gratefully acknowledges the ongoing collaboration and partnership with XVIVO, creator of medical animations and scientific media: https://xvivo.com.
Copyright © 2016, Medical History Pictures, Inc. All rights reserved.
The Vaccine Makers Project (VMP) is the classroom-based program of the Vaccine Education Center at the Children’s Hospital of Philadelphia (VEC at CHOP). The Center’s team is composed of scientists, physicians, mothers and fathers devoted to the study and prevention of infectious diseases. The Center was launched in October 2000 to provide accurate, comprehensive and up-to-date information about vaccines and the diseases they prevent. The VMP program is committed to public education about vaccine science via scientifically supported, historically accurate, and emotionally compelling content.
Access the VMP’s free classroom materials: http://www.VaccineMakers.org.