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Archive for the ‘information science’ category: Page 106

Nov 28, 2022

AI invents millions of materials that don’t yet exist

Posted by in categories: information science, robotics/AI

UC San Diego nanoengineering professor Shyue Ping Ong described M3GNet as “an AlphaFold for materials”, referring to the breakthrough AI algorithm built by Google’s DeepMind that can predict protein structures.

“Similar to proteins, we need to know the structure of a material to predict its properties,” said Professor Ong.

“We truly believe that the M3GNet architecture is a transformative tool that can greatly expand our ability to explore new material chemistries and structures.”

Nov 28, 2022

The Friedmann equations, and how they are related to protests in China

Posted by in categories: biotech/medical, government, information science

NEW DELHI: Among all the protests that have erupted across China following the strict quarantine measures enforced by the government for Covid-19, one form that has stood out is the display of a physics equation.

In images widely being circulated on social media, students of Beijing’s Tsinghua University can be seen holding sheets on which is written one of the Friedmann equations.

What these equations have to do with the subject of the protests is open to speculation. Many on social media have suggested that it is a play on the words “free man”. Another view is that it symbolises a free and “open” China, because the Friedmann equations describe an “open” (expanding) universe.

Nov 28, 2022

Completing Einstein’s Theories — A Particle Physics Breakthrough

Posted by in categories: information science, particle physics

Osaka University researchers show the relativistic contraction of an electric field produced by fast-moving charged particles, as predicted by Einstein’s theory, which can help improve radiation and particle physics research.

Over a century ago, one of the most renowned modern physicists, Albert Einstein, proposed the ground-breaking theory of special relativity. Most of everything we know about the universe is based on this theory, however, a portion of it has not been experimentally demonstrated until now. Scientists from Osaka University’s Institute of Laser Engineering utilized ultrafast electro-optic measurements for the first time to visualize the contraction of the electric field surrounding an electron beam traveling at near the speed of light and demonstrate the generation process.

According to Einstein’s theory of special relativity, one must use a “Lorentz transformation” that combines space and time coordinates in order to accurately describe the motion of objects passing an observer at speeds near the speed of light. He was able to explain how these transformations resulted in self-consistent equations for electric and magnetic fields.

Nov 27, 2022

Robotics Breakthrough Builds Anything

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

MIT researchers have devised an algorithm using voxels robotics devices to build anything from houses to planes to cars and even other robots by using a grid system that transfers knowledge to determine when to build what, and when to build other robot builders. New Google Deepmind video game artificial intelligence develops agents that can talk, listen, ask questions, navigate, search and retrieve information, control things, and do a range of other intelligent tasks in real-time. New Non-invasive brain computer interface device transmits information through optic nerve to compete with Neuralink BCI.

Tech News Timestamps:
0:00 Robotics Breakthrough Builds Anything — Even Robots.
2:44 New Google Deepmind Video Game AI
5:25 New Neuralink BCI Competitor.

#robot #ai #neuralink

Nov 27, 2022

Groundbreaking New Technology Allows People To Listen to Music Through Touch

Posted by in categories: information science, media & arts, neuroscience

A ground-breaking prototype developed by experts from the Department of Electronics at the University of Malaga and members of the R&D group “Electronics for Instrumentation and Systems,” will allow those with hearing loss to listen to music through the sense of touch.

It consists of an audio-tactile algorithm that transforms monophonic music into tangible stimuli based on vibration utilizing “tactile illusions.” According to the researchers, “It’s like ‘hacking’ the nervous system to receive a different response to the real stimulus sent.”

Continue reading “Groundbreaking New Technology Allows People To Listen to Music Through Touch” »

Nov 26, 2022

How To Increase Longevity | Prof. Matt Kaeberlein

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

No questions concerning plasma dilution or E5, but a good interview with chapters.


Professor Matt Kaeberlein discusses the Dog Aging Project, longevity, Rapamycin, mTOR, and if we can ‘solve aging’

Continue reading “How To Increase Longevity | Prof. Matt Kaeberlein” »

Nov 26, 2022

A Boiling Cauldron: Cybersecurity Trends, Threats, And Predictions For 2023

Posted by in categories: cybercrime/malcode, information science, internet, quantum physics

By Chuck Brooks


There are many other interesting trends to look out for in 2023. These trends will include the expansion of use of a Software Bill of Materials (SBOM), the integration of more 5G networks to bring down latency of data delivery, more Deep Fakes being used for fraud, low code for citizen coding, more computing at the edge, and the development of initial stages of the implementation of quantum technologies and algorithms.

When all is said and done, 2023 will face a boiling concoction of new and old cyber-threats. It will be an especially challenging year for all those involved trying to protect their data and for geopolitical stability.

Continue reading “A Boiling Cauldron: Cybersecurity Trends, Threats, And Predictions For 2023” »

Nov 26, 2022

Fluxonium qubits bring the creation of a quantum computer closer

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

Russian scientists from University of Science and Technology MISIS and Bauman Moscow State Technical University were one of the first in the world to implement a two-qubit operation using superconducting fluxonium qubits. Fluxoniums have a longer life cycle and a greater precision of operations, so they are used to make longer algorithms. An article on research that brings the creation of a quantum computer closer to reality has been published in npj Quantum Information.

One of the main questions in the development of a universal quantum computer is about . Namely, which quantum objects are the best to make processors for quantum computers: electrons, photons, ions, superconductors, or other “quantum transistors.” Superconducting qubits have become one of the most successful platforms for quantum computing during the past decade. To date, the most commercially successful superconducting qubits are transmons, which are actively investigated and used in the quantum developments of Google, IBM and other world leading laboratories.

The main task of a qubit is to store and process information without errors. Accidental noise and even mere observation can lead to the loss or alteration of data. The stable operation of often requires extremely low ambient temperatures—close to zero Kelvin, which is hundreds of times colder than the temperature of open space.

Nov 25, 2022

Terabit FSO communication based on a soliton microcomb

Posted by in categories: computing, information science, internet, security, space

Large-capacity wireless data transmission systems are demanded along with the development of multimedia services, video-based interactions, and cloud computing in the era of big data. Compared with radio-frequency communication systems, free-space optical (FSO) signal transmission technology has the merits of high data rate, great flexibility, less power consumption, high security, and large license-free bandwidths [13], which has been widely applied in terrestrial transmission [4], last mile solutions [5], ground-to-satellite optical communication [6], disaster recovery [7], and so on. To date, up to 10 Gbit/s FSO communication system has been realized for transmission distance over 1,000 km of star-ground or inter-star communications [8], and 208 Gbit/s terrestrial communication is also reported at 55 m transmission distance [9]. Wavelength-division multiplexing (WDM) technology is commonly employed to improve data transmission capacity in fiber communication systems, which would be more effective in FSO communication systems benefitting from very weak non-linear cross talk between different frequency channels in free space. Based on a simulation platform, a WDM FSO communication system could boost the signal transmission capacity to 1.28 Tbit/s by modulating 32 optical channels with dual-polarization 16 quadrature amplitude modulation signals [10]. To date, beyond 10 Tbit/s FSO communication systems have been experimentally demonstrated recently using WDM technology [11,12]. However, a WDM communication system becomes power-hungry and bulky with the increase of transmission channels while traditional distributed feedback lasers are used as optical carriers. In addition, more rigorous requirement is imposed on the frequency tolerance of carrier lasers to avoid channel overlap with the decrease of channel frequency interval.

The invention of microresonator-based optical frequency combs provides novel integrated optical laser sources with the natural characteristic of equi-spaced frequency intervals which can overcome the challenge of massive parallel carrier generation [13 19]. In particular, the spontaneously organized solitons in continuous-wave (CW)-driven microresonators provide a route to low-noise ultra-short pulses with a repetition rate from 10 GHz to beyond terahertz. Soliton microcombs (SMCs) are typical stable laser sources where the double balances of non-linearity and dispersion as well as dissipation and gain are reached in microcavities. Meanwhile, the linewidth of the comb lines is similar with the pump laser, which enables low power consumption and costs multiwavelength narrow-linewidth carriers for a wide range of applications. Through designing the scale of microresonators, the repetition rate of SMCs could be compatible with dense wavelength-division multiplexing (DWDM) communication standard. To date, several experiments have demonstrated the potential capacity for ultra-high-speed fiber communication systems using SMCs as multiwavelength laser sources [20 30]. For instance, a coherent fiber communication system has improved the transmission capacity up to 55 Tbit/s using single bright SMCs as optical carriers and a local oscillator [20]. And dark solitons and soliton crystals are also employed as multiwavelength laser sources for WDM communication systems [27 30]. However, few studies have carried out massive parallel FSO communication systems using the integrated SMCs as laser sources.

In this paper, we experimentally demonstrate a massive parallel FSO communication system using an SMC as a multiple optical carrier generator. 102 comb lines are modulated by 10 Gbit/s differential phase shift keying (DPSK) signals to boost the FSO transmission rate up to beyond 1 Tbit/s. The transmitter and receiver terminals are installed in two buildings at a distance of ∼1 km, respectively. Using a CW laser as reference, the influence of optical signal-to-noise ratios (OSNRs) on the bit error rate (BER) performance is experimentally analyzed. Our results show an effective solution for large-capacity spatial signal transmission using an integrated SMC source which has potential applications in future satellite-to-ground communication systems.

Nov 24, 2022

Will artificial intelligence ever discover new laws of physics?

Posted by in categories: alien life, information science, quantum physics, robotics/AI

SPEAKING at the University of Cambridge in 1980, Stephen Hawking considered the possibility of a theory of everything that would unite general relativity and quantum mechanics – our two leading descriptions of reality – into one neat, all-encompassing equation. We would need some help, he reckoned, from computers. Then he made a provocative prediction about these machines’ growing abilities. “The end might not be in sight for theoretical physics,” said Hawking. “But it might be in sight for theoretical physicists.”

Artificial intelligence has achieved much since then, yet physicists have been slow to use it to search for new and deeper laws of nature. It isn’t that they fear for their jobs. Indeed, Hawking may have had his tongue firmly in his cheek. Rather, it is that the deep-learning algorithms behind AIs spit out answers that amount to a “what” rather than a “why”, which makes them about as useful for a theorist as saying the answer to the question of life, the universe and everything is 42.