Science Archives - Liwaiwai

Predictions: Top 25 Careers Likely In High Demand In The Future

Predicting the top careers of the future can be challenging due to the rapidly evolving nature of technology and the job market. However, based on current trends, here are 25 careers that are likely to be in high demand in the future: Data Scientist: As companies continue to collect more data, they’ll need professionals who can analyze and interpret it. Cybersecurity Specialist: As our reliance on digital systems grows, so does the need for experts who can protect these systems from threats. Artificial Intelligence Engineer: With AI becoming more prevalent, there will be a need for engineers who can develop…

9 Ways AI Can Interact With Culture

Since 2018, Google Arts & Culture Lab has been exploring the application of artificial intelligence (AI) and machine learning (ML) in an artistic and cultural context. Both as a tool and a collaborator, AI — like other emerging and revolutionizing technologies before it — opens up a multitude of possibilities for artists, technologists and cultural institutions, whether that’s within the creative process, to solve a challenge, or as a new way of engaging with audiences. Many of our collaborations originate from singular questions: What’s it like to hear color? How can an artist’s archive inspire the creative process? Can I…

ChatGPT Is Making The Internet More Fun And Less Confusing

The Internet has become a place where you can find information on just about anything, from the latest celebrity gossip to how to build a nuclear reactor (but please, don’t try that at home!). With so much information at our fingertips, it can be overwhelming trying to sift through it all. But, lucky for us, we have now ChatGPT to help us out! ChatGPT, developed by the geniuses at OpenAI, is an AI system that’s making the Internet a lot more fun and a lot less confusing. With its ability to understand and generate human-like language, ChatGPT is changing the…

CSAIL Researchers Team Up For Neurosymbolic Programming Summer School

CSAIL researchers recently helped organize the first neurosymbolic programming summer school at the California Institute of Technology. From July 11 to 13, the program brought together students of different backgrounds who are interested in the field. Neurosymbolic programming models are techniques that build off of machine learning by utilizing a combination of human-like neural networks and program-like logical components. “Neurosymbolic programming is a new area of computer science research that has the potential to have a great impact on how we find new scientific discoveries and conduct experiments,” Computer-Aided Programming Group research scientist Omar Costilla-Reyes said. “Our objective with the event…

Is AI The Key To The Metaverse?

Will the Metaverse(s) change humanity as we know it? Will the Metaverse(s) be the ultimate augmentation of human perception? Will it become an agora for our dreams (and, of course, nightmares), able to transform human perception entirely? Has it already started? Meta founder Mark Zuckerberg has unveiled several ambitious artificial-intelligence projects, describing AI as “the key to unlocking the Metaverse”. In his video demonstration, he created a basic virtual world – including an island, trees and a beach – using the AI feature Builder Bot. Mr Zuckerberg also announced a plan to build a universal speech translator, aiming to provide…

How IBM Quantum Is Advancing Physics With World-Leading Theory Research

IBM Quantum isn’t just building quantum computers — we’re developing an ecosystem around a technology which pushes the limit of human knowledge. In order to navigate forward in this field, we must rely on theoretical physicists to chart the course. You can think of IBM Quantum’s theorists as writing quantum computing’s rulebook. Theorists research the ability of classical and quantum computing at the most basic level in order to determine what kinds of advantages quantum might offer. They help create strategies to mitigate errors and improve our device performance in the short term, while figuring out how to correct errors…

Study Finds New Biomarkers That Could Assist In Identifying Deep-Space Flight Risks

An international team of scientists has found new biomarkers that can be used for diagnostic purposes and potentially as predictive tools of the risks associated with deep-space flight. In their study, the team, including three researchers from Lawrence Livermore National Laboratory (LLNL), examined approximately two-decade-old blood samples from space shuttle astronauts before and after flight. Their findings have been published online in the journal Frontiers in Genetics. “We knew that nucleic acid within exosomes can be intact for 15-20 years, but we weren’t sure how space travel would affect them and whether we would find intact exosomes containing nucleic acids in the two-decade-old…

Scientists Make First Detection Of Exotic “X” Particles In Quark-Gluon Plasma

In the first millionths of a second after the Big Bang, the universe was a roiling, trillion-degree plasma of quarks and gluons — elementary particles that briefly glommed together in countless combinations before cooling and settling into more stable configurations to make the neutrons and protons of ordinary matter. In the chaos before cooling, a fraction of these quarks and gluons collided randomly to form short-lived “X” particles, so named for their mysterious, unknown structures. Today, X particles are extremely rare, though physicists have theorized that they may be created in particle accelerators through quark coalescence, where high-energy collisions can…

Stanford Engineers Develop Algorithm To Aid Kidney Transplant Exchanges

A historic kidney transplant exchange recently took place in the Middle East, but it might never have transpired without an algorithm developed at Stanford by Itai Ashlagi, a Stanford associate professor of management science and engineering, and his graduate student Sukolsak Sakshuwong. In all, three ailing recipients received life-sustaining transplants while three healthy donors gave kidneys. In kidney transplant lingo, such complex transactions are known as a cyclic exchange. In this particular cycle, an Israeli woman donated one of her healthy kidneys to an ailing recipient in Abu Dhabi. Meanwhile, the daughter of the Emirati recipient donated one of her healthy kidneys…

Machine Learning Aids In Materials Design

Scientists developed a machine learning algorithm to predict 3D molecular crystal density from 2D chemical structures. A long-held goal by chemists across many industries, including energy, pharmaceuticals, energetics, food additives and organic semiconductors, is to imagine the chemical structure of a new molecule and be able to predict how it will function for a desired application. In practice, this vision is difficult, often requiring extensive laboratory work to synthesize, isolate, purify and characterize newly designed molecules to obtain the desired information. Recently, a team of Lawrence Livermore National Laboratory (LLNL) materials and computer scientists have brought this vision to fruition for energetic…

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