Lifeboat Foundation

Scientists suggest a desktop quantum computer based on nuclear magnetic resonance (NMR) could soon be on its way to a classroom near you. Although the device might not be suited to handle large quantum applications, the makers say it could help students learn about quantum computing.

SpinQ Chief Scientist Prof. Bei Zeng from University of Guelph, announced the SpinQ Gemini, a two-qubit desktop quantum computer, at the industry session of the Quantum Information Processing (QIP2020) conference, which is held recently in Shenzhen, China. It is the first time that a desktop quantum computer is commercially available, according to the researchers.

SpinQ Gemini is built by the state-of-the-art technology of permanent magnets, providing 1T magnetic field, running at room temperature, and maintenance free. It demonstrates quantum algorithms such as Deutsch’s algorithm and Grover’s algorithm for teaching quantum computing to university and high school students, also provides advanced models for quantum circuit design and control sequence design for researchers.

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The recent killings of unarmed individuals such as George Floyd, Breonna Taylor, Ahmaud Arbery and Tony McDade have sparked a national conversation about the treatment of Black people—and other minorities—in the United States.

“What we’re seeing today is a close examination of the hardships and indignities that people have faced for a very long time because of their race and ethnicity,” said Kyle Ratner, an assistant professor of psychological and brain sciences at UC Santa Barbara. As a social psychologist, he is interested in how social and biological processes give rise to intergroup bias and feelings of stigmatization.

According to Ratner, “It is clear that people who belong to historically marginalized groups in the United States contend with burdensome stressors on top of the everyday stressors that members of non-disadvantaged groups experience. For instance, there is the trauma of overt racism, stigmatizing portrayals in the media and popular culture, and systemic discrimination that leads to disadvantages in many domains of life, from employment and education to healthcare and housing to the legal system.”

I often hear a number of our non US members, of which there are many, have a hard time understanding why Americans are the way we are.

This documentary is non partisan, highly accurate, and in depth. Worth your time if you want to understand Americans, our attitudes, cultures, and thinking.

Why did the United States become a global superpower? America The Story of Us is an epic 12-hour television event that explores the country’s remarkable journey.

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Happy birthday to the World most important Entrepreneur (Olorogun Elon Musk). We at the Ogba Educational Clinic and Artificial intelligence Hub celebrate and wish to immortalize you by Setting up a club after you (The Elon Musk Club). This is in line with our vision to create small Elon’s that would eventually outdo you from Africa.

Join us for an online webinar on Tuesday, June 30th at 9:30 a.m. ET with MIT faculty member and expert in machine learning, Professor Devavrat Shah.

This webinar is a way to understand the topics covered in the ‘Machine Learning: From Data to Decisions’ online course, ask questions, and get a preview of the content.

This is a 60-minute webinar with Prof. Devavrat Shah to learn more about the upcoming Machine Learning: From Data to Decisions (Online) Program, followed by a Q&A session.

Continue reading “Welcome! You are invited to join a webinar: Live Webinar: MIT Professional Education’s Machine Learning: From Data to Decisions. After registering, you will receive a confirmation email about joining the webinar” »

Now that the world is in the thick of the coronavirus pandemic, governments are quickly deploying their own cocktails of tracking methods. These include device-based contact tracing, wearables, thermal scanning, drones, and facial recognition technology. It’s important to understand how those tools and technologies work and how governments are using them to track not just the spread of the coronavirus, but the movements of their citizens.

Contact tracing is one of the fastest-growing means of viral tracking. Although the term entered the common lexicon with the novel coronavirus, it’s not a new practice. The Centers for Disease Control and Prevention (CDC) says contact tracing is “a core disease control measure employed by local and state health department personnel for decades.”

Traditionally, contact tracing involves a trained public health professional interviewing an ill patient about everyone they’ve been in contact with and then contacting those people to provide education and support, all without revealing the identity of the original patient. But in a global pandemic, that careful manual method cannot keep pace, so a more automated system is needed.

A team of scientists, led by Natural History Museum postdoctoral researcher Dr. Anne-Claire Fabre, have conducted the first study on how metamorphosis has influenced the evolution of salamanders.

Using micro-CT scanning to study the skulls of this group of animals, the team were able to build a huge dataset of 148 species of salamanders and used cutting-edge methods to describe the shape of the skull with nearly 1000 reference points, known as landmarks.

Dr. Fabre said, “Most studies of this kind are limited to just a few dozen landmarks. Our study is the first large-scale investigation of this incredibly diverse group. We have captured the shape of the skull in such great detail that it has allowed us to learn more than ever before about how these creatures evolved.”

Not even the lawyers will be spared.

In the summer of 2015, Stanford-bound high school grad Josh Browder spent his nights coding and developing an automated program that would help people contest parking tickets. The native Londoner had recently gotten his driver’s license, and had himself assembled a respectable collection of fines, some of which he felt were unjustly rewarded.

About three weeks later, Browder already had a product called DoNotPay which he shared with his friends. A blogger from Reddit picked up on it, and almost overnight, DoNotPay went from 10 people using it to 50,000 users.

Continue reading “Stanford Grad Who Created The World’s First ‘Robot Lawyer’ Raises $12 Million In Series A” »

A pair of researchers at University College London has found that people with low socioeconomic status experience more declines in age-related functions as they grow older than do people who have a higher socioeconomic status. In their paper published in Proceedings of the National Academy of Sciences, Andrew Steptoe and Paola Zaninotto describe their study of data from the English Longitudinal Study of Ageing, and what they learned.

Prior research has shown that poor people tend to suffer more adverse health effects than those who are better off. They also tend to die younger. But one area of aging that has not been well-studied is the impact of poverty on age-related functional decline, associated with such symptoms as loss of hearing or muscle strength. To learn more about the relationship between socioeconomic status and age-related functional decline, the researchers analyzed data in the English Longitudinal Study of Ageing—an ongoing long-term study of the aging process. Launched in 2002, the study involved collecting data on volunteers aged 50 and over as they grew older. The data includes both medical and physical information, along with test results designed to measure cognitive and emotional levels. The data sample for this new effort included information on 5,018 people 52 years of age or older as they aged over periods of six to eight years.

The researchers found that people living at the lower end of the economic spectrum performed worse on every measure of age-related functionality. Those less well-off lost grip strength, lung function, gait speed, processing speed and executive function. They also tended to report enjoying life less than those who were more affluent. The researchers noted their findings were independent of race, gender, education or age. They also found that those of lesser means experienced more vision problems and were more likely to be depressed.

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