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Nov 20, 2024

Novel AI algorithm captures photons in motion

Posted by in categories: information science, robotics/AI

Flying with Photons: Rendering Novel Views of Propagating Light https://arxiv.org/abs/2404.


Close your eyes and picture the iconic “bullet time” scene from “The Matrix”—the one where Neo, played by Keanu Reeves, dodges bullets in slow motion. Now imagine being able to witness the same effect, but instead of speeding bullets, you’re watching something that moves one million times faster: light itself.

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Nov 20, 2024

New model could calculate probability of intelligent life in our Universe and beyond

Posted by in categories: alien life, computing, information science, physics

A team of astrophysicists, led by our Institute for Computational Cosmology, have developed a new model that could estimate how likely it is for intelligent life to emerge in our Universe and beyond.

In the 1960s, American astronomer Dr Frank Drake came up with an equation to calculate the number of detectable extraterrestrial civilisations in our Milky Way galaxy.

More than 60 years on, researchers at Durham, the University of Edinburgh and the Université de Genève, have produced a new model based on the conditions created by the acceleration of the Universe’s expansion and the amount of stars formed instead.

Nov 19, 2024

Math professor could help answer physics of ice buildup on planes

Posted by in categories: information science, mathematics, physics, transportation

Team develops simulation algorithms for safer, greener, and more aerodynamic aircraft.


Ice buildup on aircraft wings and fuselage occurs when atmospheric conditions conducive to ice formation are encountered during flight, presenting a critical area of focus for their research endeavors.

Ice accumulation on an aircraft during flight poses a significant risk, potentially impairing its performance and, in severe cases, leading to catastrophic consequences.

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Nov 16, 2024

Avi Loeb’s Statement on UAPs to the House Oversight and Accountability Committee

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

Over the past few months, I was asked multiple times by Staff of the House Committee on Oversight and Accountability whether I am available to testify before the U.S. Congress on Unidentified Anomalous Phenomena (UAPs). As a result, I cleared my calendar for November 13, 2024 and prepared the following written statement. At the end, I was not called to testify before Congress and so I am posting below my intended statement. The Galileo Project under my leadership is about to release this week unprecedented results from commissioning data of its unique Observatory at Harvard University. Half a million objects were monitored on the sky and their appearance was analyzed by state-of-the-art machine learning algorithms. Are any of them UAPs and if so — what are their flight characteristics? Unfortunately, the congressional hearing chairs chose not to hear about these scientific results, nor about the scientific findings from our ocean expedition to the site of the first reported meteor from interstellar space.

Stay tuned for the first extensive paper on the commissioning data from the first Galileo Project Observatory, to be posted publicly in the coming days. Here is my public statement.

Nov 14, 2024

It would be easier to find aliens in a parallel universe than in our own, new multiverse study claims

Posted by in categories: alien life, information science

A new model based on the famous alien-hunting Drake equation suggests that some parallel universes within the hypothetical “multiverse” could have higher chances of containing extraterrestrial life than our universe.

Nov 14, 2024

Post-Quantum API Security: Preparing Your APIs for Q-Day

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

In our increasingly interconnected digital world, the foundations of secure communication and data privacy are built upon cryptographic algorithms that have stood the test of time.


Discover how quantum computing threatens current API security and learn strategies to prepare your APIs for Q-Day by adopting post-quantum cryptography solutions.

Nov 14, 2024

IBM Launches Its Most Advanced Quantum Computers, Fueling New Scientific Value and Progress towards Quantum Advantage

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

YORKTOWN HEIGHTS, N.Y., Nov. 13, 2024 /PRNewswire/ — Today at its inaugural IBM Quantum Developer Conference, IBM (NYSE: IBM) announced quantum hardware and software advancements to execute complex algorithms on IBM quantum computers with record levels of scale, speed, and accuracy.

IBM Quantum Heron, the company’s most performant quantum processor to-date and available in IBM’s global quantum data centers, can now leverage Qiskit to accurately run certain classes of quantum circuits with up to 5,000 two-qubit gate operations. Users can now use these capabilities to expand explorations in how quantum computers can tackle scientific problems across materials, chemistry, life sciences, high-energy physics, and more.

Nov 13, 2024

CMS develops new AI algorithm to detect anomalies at the Large Hadron Collider

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

In the quest to uncover the fundamental particles and forces of nature, one of the critical challenges facing high-energy experiments at the Large Hadron Collider (LHC) is ensuring the quality of the vast amounts of data collected. To do this, data quality monitoring systems are in place for the various subdetectors of an experiment and they play an important role in checking the accuracy of the data.

Nov 12, 2024

New ‘gold-plated’ superconductor could be the foundation for massively scaled-up quantum computers in the future

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

The interface superconductor underwent a transition under a magnetic field and became more robust, the scientists said in the paper This suggests it has transformed into a “triplet superconductor.” — a type of superconductor that is more resistant to magnetic fields than conventional superconductors.

They conducted the research in conjunction with the National Institute of Standards and Technology. In earlier work, they demonstrated that thin films of gold and niobium naturally suppress decoherence — the loss of quantum properties due to external environmental interference.

Given its robust quantum qualities and its ability to suppress decoherence, this new superconducting material promises to be ideal for use in quantum computers, the scientists said. Minimizing decoherence within the system is a key challenge, which necessitates extreme measures to isolate the quantum computer from external influences, such as shifts in temperature or electromagnetic interference, as well as the use of error-correcting algorithms to ensure calculations remain accurate.

Nov 11, 2024

Autonomous mobile robots for exploratory synthetic chemistry

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

Autonomous laboratories can accelerate discoveries in chemical synthesis, but this requires automated measurements coupled with reliable decision-making.


Much progress has been made towards diversifying automated synthesis platforms4,5,19 and increasing their autonomous capabilities9,14,15,20,21,22. So far, most platforms use bespoke engineering and physically integrated analytical equipment6. The associated cost, complexity and proximal monopolization of analytical equipment means that single, fixed characterization techniques are often favoured in automated workflows, rather than drawing on the wider array of analytical techniques available in most synthetic laboratories. This forces any decision-making algorithms to operate with limited analytical information, unlike more multifaceted manual approaches. Hence, closed-loop autonomous chemical synthesis often bears little resemblance to human experimentation, either in the laboratory infrastructure required or in the decision-making steps.

We showed previously11 that free-roaming mobile robots could be integrated into existing laboratories to perform experiments by emulating the physical operations of human scientists. However, that first workflow was limited to one specific type of chemistry—photochemical hydrogen evolution—and the only measurement available was gas chromatography, which gives a simple scalar output. Subsequent studies involving mobile robots also focused on the optimization of catalyst performance12,13. These benchtop catalysis workflows11,12,13 cannot carry out more general synthetic chemistry, for example, involving organic solvents, nor can they measure and interpret more complex characterization data, such as NMR spectra. The algorithmic decision-making was limited to maximizing catalyst performance11, which is analogous to autonomous synthesis platforms that maximize yield for a reaction using NMR23 or chromatographic10,24 peak areas.

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