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.
Category: information science – Page 71
Post-Quantum API Security: Preparing Your APIs for Q-Day
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.
IBM Launches Its Most Advanced Quantum Computers, Fueling New Scientific Value and Progress towards Quantum Advantage
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.
CMS develops new AI algorithm to detect anomalies at the Large Hadron Collider
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.
New ‘gold-plated’ superconductor could be the foundation for massively scaled-up quantum computers in the future
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.
Autonomous mobile robots for exploratory synthetic chemistry
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.
Here we present a modular autonomous platform for general exploratory synthetic chemistry. It uses mobile robots to operate a Chemspeed ISynth synthesis platform, an ultrahigh-performance liquid chromatography–mass spectrometer (UPLC-MS) and a benchtop NMR spectrometer. This modular laboratory workflow is inherently expandable to include other equipment, as shown here by the addition of a standard commercial photoreactor.
New Spectral Camera Uses AI to Boost Farm Yields by 20%
A team of EU scientists is developing a new advanced camera that uses photonics to reveal what the eye cannot see. This innovative system is being developed to transform various industries, including vertical farming. It will allow farmers growing crops like salads, herbs, and microgreens to detect plant diseases early, monitor crop health with precision, and optimise harvest times — boosting yields by up to 20%.
A new European consortium funded under the Photonics Partnership is developing a new imaging platform that ensures everything from crops to factory products is of the highest quality by detecting things humans simply cannot.
Called ‘HyperImage’, the project aims to revolutionise quality assurance and operational efficiency across different sectors. This high-tech imaging system uses AI machine learning algorithms to identify objects for more precise decision-making.
Forget Black Holes—White Holes Would Break Your Puny Brain
White holes, the theoretical opposites of black holes, could expel matter instead of absorbing it. Unlike black holes, whose event horizon traps everything, white holes would prevent anything from entering. While no white holes have been observed, they remain an intriguing mathematical possibility. Some astrophysicists have speculated that gamma ray bursts could be linked to white holes, and even the Big Bang might be explained by a massive white hole. Although the second law of thermodynamics presents a challenge, studying these singularities could revolutionize our understanding of space-time and cosmic evolution.
After reading the article, Harry gained more than 724 upvotes with this comment: “It amazes me how Einstein’s theory and equations branched off into so many other theoretical phenomena. Legend legacy.”
Black holes may well be the most intriguing enigmas in the Universe. Believed to be the collapsed remnants of dead stars, these objects are renowned for one characteristic in particular – anything that goes in never comes out.
A physicist and his cat ‘reveal’ the equation of cat motion
In the social media age, there is little doubt about who is the star of the animal kingdom. Cats rule the screens just as their cousins, the lions, rule the savanna. Thanks to Erwin Schrödinger, this feline also has a place of honor in the history of physics. And it was Eme the cat that inspired Anxo Biasi, researcher at the Instituto Galego de Física de Altas Enerxías (IGFAE), to publish an article in the American Journal of Physics.
A prosthesis driven by the nervous system helps people with amputation walk naturally
State-of-the-art prosthetic limbs can help people with amputations achieve a natural walking gait, but they don’t give the user full neural control over the limb. Instead, they rely on robotic sensors and controllers that move the limb using predefined gait algorithms.
Using a new type of surgical intervention and neuroprosthetic interface, MIT researchers, in collaboration with colleagues from Brigham and Women’s Hospital, have shown that a natural walking gait is achievable using a prosthetic leg fully driven by the body’s own nervous system. The surgical amputation procedure reconnects muscles in the residual limb, which allows patients to receive “proprioceptive” feedback about where their prosthetic limb is in space.
In a study of seven patients who had this surgery, the MIT team found that they were able to walk faster, avoid obstacles, and climb stairs much more naturally than people with a traditional amputation.