Year 2020 o.o!!!
AI startup FutureAI has announced that its neural simulator software successfully tested one billion neurons on a desktop computer comprised completely of off-the-shelf components.
A new study has shown for the first time how electrical creation and control of magnetic vortices in an antiferromagnet can be achieved, a discovery that will increase the data storage capacity and speed of next generation devices.
Researchers from the University of Nottingham’s School of Physics and Astronomy have used magnetic imaging techniques to map the structure of newly formed magnetic vortices and demonstrate their back-and-forth movement due to alternating electrical pulses. Their findings have been published in Nature Nanotechnology.
“This is an exciting moment for us, these magnetic vortices have been proposed as information carriers in next-generation memory devices, but evidence of their existence in antiferromagnets has so far been scarce. Now, we have not only generated them, but also moved them in a controllable way. It’s another success for our material, CuMnAs, which has been at the center of several breakthroughs in antiferromagnetic spintronics over the last few years,” says Oliver Amin.
😀 😍
Sam Altman, the CEO of OpenAI, apparently has more up his sleeve than bringing about the AI apocalypse.
As the Financial Times reports, Altman is in advanced talks to secure around $100 million for Worldcoin, another of his ventures.
Worldcoin’s promise is hazy at best, but seems to involve scanning everybody’s eye and giving them some amount of crypto. The project’s verbiage invokes OpenAI’s vision of powerful automation that will lead to an era of plenty, promising it will usher in a “path to AI-funded UBI.”
Over 12 years, researchers mapped all of a larval fruit fly’s brain, charting 3,016 neurons and 548,000 connections. It’s big news for neuroscience.
Join top executives in San Francisco on July 11–12, to hear how leaders are integrating and optimizing AI investments for success. Learn More.
Specifically, the arrival of AI-based tools such as ChatGPT and DALL-E have dazzled us with their dynamic capabilities as well as unnerved us with their staggering potential. The current debate on AI is hinged on broad philosophical questions and the public’s response. What do people make of all this?
Summary: ChatGPT has successfully passed a radiology board-style exam, demonstrating the potential of large language models in medical contexts. The study utilized 150 multiple-choice questions mimicking the style and difficulty of the Canadian Royal College and American Board of Radiology exams.
ChatGPT, based on the GPT-3.5 model, answered 69% of questions correctly, just under the passing grade of 70%. However, an updated version, GPT-4, managed to exceed the passing threshold with a score of 81%, showcasing significant improvements, particularly in higher-order thinking questions.
A new Webb Space Telescope image of the bright, nearby star Fomalhaut reveals details never seen before, including nested rings of dust that hint at the forces of unseen planets.
A team led by University of Arizona astronomers used NASA
Established in 1958, the National Aeronautics and Space Administration (NASA) is an independent agency of the United States Federal Government that succeeded the National Advisory Committee for Aeronautics (NACA). It is responsible for the civilian space program, as well as aeronautics and aerospace research. Its vision is “To discover and expand knowledge for the benefit of humanity.” Its core values are “safety, integrity, teamwork, excellence, and inclusion.” NASA conducts research, develops technology and launches missions to explore and study Earth, the solar system, and the universe beyond. It also works to advance the state of knowledge in a wide range of scientific fields, including Earth and space science, planetary science, astrophysics, and heliophysics, and it collaborates with private companies and international partners to achieve its goals.
Summary: A new study discovered not all microglia are the same, challenging existing beliefs. A unique subset of these cells, the ARG1+microglia, important for proper cognitive functions, were identified in mice, with evidence suggesting a similar subset exists in humans.
Microglia lacking the protein ARG1 led to less exploratory behavior in mice, indicating cognitive deficits. These discoveries open exciting new possibilities for understanding brain diseases and developing novel therapies.
High-performance computing (HPC) has become an essential tool for processing large datasets and simulating nature’s most complex systems. However, researchers face difficulties in developing more intensive models because Moore’s Law—which states that computational power doubles every two years—is slowing, and memory bandwidth still cannot keep up with it. But scientists can speed up simulations of complex systems by using compression algorithms running on AI hardware.
A team led by computer scientist Hatem Ltaief are tackling this problem head-on by employing hardware designed for artificial intelligence (AI) to help scientists make their code more efficient. In a paper published in the journal High Performance Computing, they now report making simulations up to 150 times faster in the diverse fields of climate modeling, astronomy, seismic imaging and wireless communications.
Previously, Ltaief and co-workers showed that many scientists were riding the wave of hardware development and “over-solving” their models, carrying out lots of unnecessary calculations.
This simulation models a huge number of atoms in detail with the help of artificial intelligence.
By Alex Wilkins