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Archive for the ‘information science’ category: Page 93

May 29, 2022

Artificial intelligence helps in the identification of astronomical objects

Posted by in categories: information science, robotics/AI, space

Classifying celestial objects is a long-standing problem. With sources at near unimaginable distances, sometimes it’s difficult for researchers to distinguish between objects such as stars, galaxies, quasars or supernovae.

Instituto de Astrofísica e Ciências do Espaço’s (IA) researchers Pedro Cunha and Andrew Humphrey tried to solve this classical problem by creating SHEEP, a that determines the nature of astronomical sources. Andrew Humphrey (IA & University of Porto, Portugal) comments: “The problem of classifying is very challenging, in terms of the numbers and the complexity of the universe, and is a very promising tool for this type of task.”

The first author of the article, now published in the journal Astronomy & Astrophysics, Pedro Cunha, a Ph.D. student at IA and in the Dept. of Physics and the University of Porto, says, “This work was born as a side project from my MSc thesis. It combined the lessons learned during that time into a unique project.”

May 28, 2022

What are the security risks of open sourcing the Twitter algorithm?

Posted by in categories: information science, security

May 27, 2022

What if quantum physics could eradicate illness? | Jim Al-Khalili for Big Think

Posted by in categories: biological, evolution, genetics, information science, particle physics, quantum physics

Can quantum science supercharge genetics? | Jim Al-Khalili for Big Think.


This interview is an episode from The Well, our new publication about ideas that inspire a life well-lived, created with the John Templeton Foundation.

Continue reading “What if quantum physics could eradicate illness? | Jim Al-Khalili for Big Think” »

May 27, 2022

AI reskilling: A solution to the worker crisis

Posted by in categories: biotech/medical, business, employment, finance, information science, robotics/AI

By 2025, the World Economic Forum estimates that 97 million new jobs may emerge as artificial intelligence (AI) changes the nature of work and influences the new division of labor between humans, machines and algorithms. Specifically in banking, a recent McKinsey survey found that AI technologies could deliver up to $1 trillion of additional value each year. AI is continuing its steady rise and starting to have a sweeping impact on the financial services industry, but its potential is still far from fully realized.

The transformative power of AI is already impacting a range of functions in financial services including risk management, personalization, fraud detection and ESG analytics. The problem is that advances in AI are slowed down by a global shortage of workers with the skills and experience in areas such as deep learning, natural language processing and robotic process automation. So with AI technology opening new opportunities, financial services workers are eager to gain the skills they need in order to leverage AI tools and advance their careers.

Today, 87% of employees consider retraining and upskilling options at workplaces very important, and at the same time, more companies ranked upskilling their workforce as a top-5 business priority now than pre-pandemic. Companies that don’t focus on powering AI training will fall behind in a tight hiring market. Below are some key takeaways for business leaders looking to prioritize reskilling efforts at their organization.

May 26, 2022

AI Inventing Its Own Culture, Passing It On to Humans, Sociologists Find

Posted by in categories: information science, robotics/AI

Algorithms could increasingly influence human culture, even though we don’t have a good understanding of how they interact with us or each other.

May 26, 2022

Error-free quantum computing gets real

Posted by in categories: computing, information science, particle physics, quantum physics

In modern computers, errors during processing and storage of information have become a rarity due to high-quality fabrication. However, for critical applications, where even single errors can have serious effects, error correction mechanisms based on redundancy of the processed data are still used.

Quantum computers are inherently much more susceptible to disturbances and will thus probably always require error correction mechanisms, because otherwise errors will propagate uncontrolled in the system and information will be lost. Because the fundamental laws of quantum mechanics forbid copying quantum information, redundancy can be achieved by distributing logical quantum information into an entangled state of several physical systems, for example multiple .

The team led by Thomas Monz of the Department of Experimental Physics at the University of Innsbruck and Markus Müller of RWTH Aachen University and Forschungszentrum Jülich in Germany has now succeeded for the first time in realizing a set of computational operations on two logical quantum bits that can be used to implement any possible operation. “For a real-world quantum , we need a universal set of gates with which we can program all algorithms,” explains Lukas Postler, an experimental physicist from Innsbruck.

May 22, 2022

Quantifying Biological Age: Blood Test #3 in 2022

Posted by in categories: biotech/medical, genetics, information science, life extension

Join us on Patreon!
https://www.patreon.com/MichaelLustgartenPhD

Levine’s Biological age calculator is embedded as an Excel file in this link from my website:
https://michaellustgarten.com/2019/09/09/quantifying-biological-age/

Continue reading “Quantifying Biological Age: Blood Test #3 in 2022” »

May 18, 2022

Self-driving microscopes discover shortcuts to new materials

Posted by in categories: information science, nanotechnology, physics, robotics/AI, transportation

Researchers at the Department of Energy’s Oak Ridge National Laboratory are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.

“There are so many potential materials, some of which we cannot study at all with conventional tools, that need more efficient and systematic approaches to design and synthesize,” said Maxim Ziatdinov of ORNL’s Computational Sciences and Engineering Division and the CNMS. “We can use smart automation to access unexplored materials as well as create a shareable, reproducible path to discoveries that have not previously been possible.”

The approach, published in Nature Machine Intelligence, combines physics and machine learning to automate microscopy experiments designed to study materials’ functional properties at the nanoscale.

May 17, 2022

You can practice for a job interview with Google AI

Posted by in categories: information science, robotics/AI

Never mind reading generic guides or practicing with friends — Google is betting that algorithms can get you ready for a job interview. The company has launched an Interview Warmup tool that uses AI to help you prepare for interviews across various roles. The site asks typical questions (such as the classic “tell me a bit about yourself”) and analyzes your voiced or typed responses for areas of improvement. You’ll know when you overuse certain words, for instance, or if you need to spend more time talking about a given subject.

Interview Warmup is aimed at Google Career Certificates users hoping to land work, and most of its role-specific questions reflect this. There are general interview questions, though, and Google plans to expand the tool to help more candidates. The feature is currently only available in the US.

AI has increasingly been used in recruitment. To date, though, it has mainly served companies during their selection process, not the potential new hires. This isn’t going to level the playing field, but it might help you brush up on your interview skills.

May 15, 2022

A Physiology Clock for Human Aging: BP and FEV1 As Top Predictors

Posted by in categories: biotech/medical, information science, life extension, robotics/AI

Join us on Patreon!
https://www.patreon.com/MichaelLustgartenPhD

Papers referenced in the video:
A Physiology Clock for Human Aging (preprint)
https://www.biorxiv.org/content/10.1101/2022.04.14.488358v1

Continue reading “A Physiology Clock for Human Aging: BP and FEV1 As Top Predictors” »

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