To improve access to large data sets, scientists are looking to cloud-based solutions for data management.
In the coming decade, big projects like the Large Hadron Collider (LHC) and the Square Kilometre Array (SKA) are each expected to produce an exabyte of data yearly, which is about 20 times the digital content of all the written works throughout human history. This information overload requires new thinking about data management, which is why scientists have begun to look to the “cloud.” In such a scenario, data would be stored and analyzed remotely, with the advantage that information would become more accessible to a wider scientific community. Efforts are underway to create “science clouds,” but disagreements remain over their structure and implementation. To discuss these details, around 60 scientists came together for The Science Cloud meeting in Bad Honnef, Germany. The attendees shared lessons from past and ongoing projects in the hope of building the groundwork for a future scientific computing infrastructure.
How molecules change when they react to stimuli such as light is fundamental in biology, for example during photosynthesis. Scientists have been working to unravel the workings of these changes in several fields, and by combining two of these, researchers have paved the way for a new era in understanding the reactions of protein molecules fundamental for life.
The large international research team, led by Professor Jasper van Thor from the Department of Life Sciences at Imperial, report their results in the journal Nature Chemistry.
Crystallography is a powerful technique in structural biology for taking ‘snapshots’ of how molecules are arranged. Over several large-scale experiments and years of theory work, the team behind the new study integrated this with another technique that maps vibrations in the electronic and nuclear configuration of molecules, called spectroscopy.
Superconductivity promises to transform everything from power grids to personal electronics. Yet getting the low-waste form of power to operate at ambient temperatures and pressures is proving to be easier said than done.
A discovery by a team of researchers from Emory University and Stanford University in the US could inform theories that might help us get around the stumbling blocks.
The finding involves what’s known as oscillating superconductivity. Typical superconductor behaviors involve electron partnerships called Cooper pairs moving through materials without losing significant amounts of energy in the form of heat.
Conference presentation of “Process Physics, Time and Consciousness: Nature as an internally meaningful, habit-establishing process.” As presented at the Whitehead Psychology Nexus Workshop Conference held in Fontareches, France, March 27-30th, 2015 (with some minor adjustments). For full published paper, see: https://tinyurl.com/yc9r6kys (date of publication: October 18, 2017).
Abstract:
Process Physics, Time and Consciousness: Nature as an internally meaningful, habit-establishing process.
Author: Jeroen B. J. van Dijk, Eindhoven, The Netherlands.
Ever since Einstein’s arrival at the forefront of science, mainstream physics likes to think of nature as a giant 4-dimensional spacetime continuum in which all of eternity exists all at once – in one timeless block universe. Accordingly, much to the dismay of more process-minded researchers, the experience of an ongoing present moment is typically branded as illusory. Mainstream physics is having a hard time, though, to provide a well-founded defense for this illusoriness of time. This is because physics, as an empirical science, is itself utterly dependent on experience to begin with. Moreover, if nature were indeed purely physical – as contemporary mainstream physics wants us to believe – it’s quite difficult to see how it could ever be able to give rise to something so explicitly non-physical like conscious experience. On top of this, the argument of time’s illusoriness becomes even more doubtful in view of the extra-ordinary level of sophistication that would be required for our conscious experience to achieve such an utterly convincing, but – physically speaking – pointless illusion. It’s because of problems like these that process thought has persistently objected against this ‘eternalism’ of mainstream physics. Just recently, physicist Lee Smolin even brought up some other major arguments against this timeless picture in his controversial 2013 book ‘Time Reborn’. And although he passionately argues that physics should take an entirely different direction, he admits that he has no readily available roadmap to success. Fortunately, however, over the last 15 years or so, a neo-Whiteheadian, ‘neurobiologically inspired’ way of doing foundational physics, namely Reg Cahill’s Process Physics, has been making its appearance on the scene. Process Physics aims to model the universe as an initially orderless and uniform process plenum by setting up a stochastic, self-referential modeling of nature. In Process Physics, all self-referential and initially noisy activity patterns are “mutually in-formative” as they are actively making a meaningful difference to (i.e. “in-forming”) each other. Due to this mutual in-formativeness, the stochastic activity patterns will act as “start-up seeds” that become engaged in self-renewing update iterations. In this way, the system starts to evolve from its initial featurelessness to then “branch out” to higher and higher levels of complexity – all this according to the same basic principles as a naturally evolving neural network. Because of this “neuromorphic” behaviour, the process system can be thought of as habit-bound with a potential for creative novelty and open-ended evolution. Furthermore, threedimensionality, gravitational and relativistic effects, nonlocality, and classical behaviour are spontaneously emergent within the system. Also, the system’s constantly renewing activity patterns bring along an inherent present moment effect, thereby reintroducing time as the system’s ongoing change. As a final point, subjectivity – in the form of mutual informativeness – is a naturally evolving, innate feature, not a coincidental, later-arriving side-effect.
A presentation on the conception of the present moment in physics and cognitive neuroscience (presented at the 3rd European Summer School in Process Thought in Düsseldorf, Germany, 25–29 September 2014).
It’s no surprise that machines have the same problem. Although they’re armed with a myriad of sensors, self-driving cars are still trying to live up to their name. They perform well under perfect weather conditions and roads with clear traffic lanes. But ask the cars to drive in heavy rain or fog, smoke from wildfires, or on roads without streetlights, and they struggle.
This month, a team from Purdue University tackled the low visibility problem head-on. Combining thermal imaging, physics, and machine learning, their technology allowed a visual AI system to see in the dark as if it were daylight.
At the core of the system are an infrared camera and AI, trained on a custom database of images to extract detailed information from given surroundings—essentially, teaching itself to map the world using heat signals. Unlike previous systems, the technology, called heat-assisted detection and ranging (HADAR), overcame a notorious stumbling block: the “ghosting effect,” which usually causes smeared, ghost-like images hardly useful for navigation.
The apparent equivalence of gravitational mass to inertial mass is a remarkable and beautiful feature of the cosmos, with a deep implication, says Chanda Prescod-Weinstein
Researchers show it’s possible to make photons that cross paths interact, paving the way for technology breakthroughs.
A research team at the Advanced Science Research Center at the CUNY Graduate Center (CUNY ASRC) has demonstrated that it is possible to manipulate photons so that they can collide, interacting in new ways as they cross paths. Detailed in the journal Nature Physics.
As the name implies, Nature Physics is a peer-reviewed, scientific journal covering physics and is published by Nature Research. It was first published in October 2005 and its monthly coverage includes articles, letters, reviews, research highlights, news and views, commentaries, book reviews, and correspondence.
Gravity is the force that attracts objects toward the Earth and maintains the orbital motion of planets around the Sun. Our scientific understanding of gravity was established by Isaac Newton.
Despite the many successes of Einstein’s theory of gravity, many phenomena, such as gravity inside a black hole and gravitational waves, can’t be explained.
Tod Strohmayer (GSFC), CXC, NASA — Illustration: Dana Berry (CXC)
Our scientific understanding of gravity was established by Isaac Newton in 1687. Newton’s theory of gravity stood the test of time for two centuries until Albert Einstein proposed his ‘General Theory of Relativity,’ filling in the gaps left by Newton’s theory of gravity.
An international team finds new single-crystalline oxide thin films with fast and dramatic changes in electrical properties via Li-ion intercalation through engineered ionic transport channels.
Researchers have pioneered the creation of T-Nb2O5 thin films that enable faster Li-ion movement. This achievement, promising more efficient batteries and advances in computing and lighting, marks a significant leap forward in iontronics.
An international research team, comprising members from the Max Planck Institute of Microstructure Physics, Halle (Saale), Germany, the University of Cambridge, UK, and the University of Pennsylvania, USA, have reported an important breakthrough in materials science. They achieved the first realization of single-crystalline T-Nb2O5 thin films, exhibiting two-dimensional (2D) vertical ionic transport channels. This results in a swift and significant insulator-metal transition through Li-ion intercalation in the 2D channels.
