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Java as a Choice for the Era of Cloud-Native Computing – ITPro Today

Computer programming languages evolve, but the importance of so-called legacy languages upon which many mission-critical applications rely on is recognized, and modernizing these languages is paramount. Java is a case in point. Whoever asked if Java is dead (there were and still are plenty out there who ask this question) has not looked at the longevity of COBOL. For starters, Java was never about the language but the ecosystem surrounding the Java Virtual Machine (JVM), a language platform. But the efforts to make Java performant in cloud-native computing (CNC), including serverless and WebAssembly, reflect the investment many enterprises have made in Java and want to use it in the latest development environments.

To get the most out of CNC, developers build software applications in microservices architecture and use serverless services, such as function as a service. This requires applications to load up in super-fast time. A container can be spun up in milliseconds, an application run, and then the container is terminated. On a public cloud, there are also charges related to how long containers are in use. A function run in serverless mode is charged by memory used and duration, typically rounded to 1 millisecond, so fast-running languages have a clear cost benefit. Programming languages need to load in milliseconds to be CNC-compatible.

Related: Java Language at 25: Write Once, Run Anywhere Lives On

The first rule of advice is to use the existing programming language that predominates, if possible, causing the least change and having the skills available. For many organizations that have invested in Java, the question is whether Java is CNC-ready. Traditional Java runtimes are unsuited for microservices. Each instance would need to load too many megabytes, whereas other languages such as Node.js and Go are far more streamlined and faster to start up. This motivated the Java community to address the challenge of modernizing Java. Several high-tech companies with a stake in Java, including Fujitsu, IBM (including Red Hat), and Oracle, formed the open source MicroProfile project within the Eclipse Foundation, which, to quote its mission, "is aimed at optimizing Enterprise Java for the microservices architecture."

One of the lessons learned in working with microservices is that when multiple microservices run within the same JVM, a greedy microservice can starve others of resources. The solution is to deploy a single microservice per application server, which led to specialized Java runtimes such as Liberty (IBM), Quarkus (Red Hat), and Spring Boot (VMware). To avoid fragmentation in the Java community, as Java began to be used for microservices, MicroProfile was created to provide a common set of APIs for multiple Java frameworks and runtimes. Since its launch in 2016, the project moved quickly and has released multiple specifications and updates to move at the speed the CNC industry is evolving.

Related: How and When to Use Cloud-Native Technology

The need to support Kubernetes is essential in today's CNC environments, and runtimes like Liberty, Quarkus, and Spring Boot are designed to be Kubernetes native. These runtimes address the memory consumption, fast startup, and other concerns that enable Java to be a first-class choice for microservices running in Kubernetes environments.

Liberty is not something IBM has talked about much, but we believe this will change, and it is worth taking note of what it offers the Java community. Created in 2012, WebSphere Liberty is a modern progression of the WebSphere application server (WAS), and much of it was given over to Open Liberty, an IBM open-source project launched in 2017. Many monolithic enterprise Java applications, typically running in virtual machines, continue to use application servers like WebLogic and WebSphere, and are in a keep stable and maintain mode. Liberty is designed for Java applications being modernized and for fresh CNC projects and is a small, lightweight kernel to which individual capabilities can be added, so keeping the startup load to a minimum with just enough to support an application or microservice. It offers all the benefits of a MicroProfile implementation.

Open Liberty is a production-ready open source Java runtime for CNC and is supported by WebSphere licenses. WebSphere Liberty is a commercial build of Open Liberty and adds several functions for helping modernize monolithic enterprise Java applications.

Omdia has seen IBM's benchmarks with Liberty having the best throughput across its portfolio of Java runtimes, as well as rivals, and lower memory requirements, which will lower running costs. In its near-term roadmap, IBM will launch new features in Open Liberty that will demonstrate an "instant on" feature, with super-fast first response times, making it suitable for serverless where scaling containers down to zero and up to hundreds is typical. Liberty InstantOn uses Linux Checkpoint/Restore in Userspace (CRIU), which takes process snapshots and allows them to be restored instantly in Kubernetes managed containers. This also applies to a full Java monolithic application that can be started in under a third of a second. These forthcoming features in Liberty will be a boost for Java in CNC.

The W3C standard WebAssembly (Wasm) is a growing development approach that allows in-browser code to run at near-native performance and is supported on all major browsers. Languages such as C/C++, C#/.Net, Rust, Python, and Go are currently supported. Efforts are in progress to run Java natively in the browser using WebAssembly. There is an open source project, JWebAssembly, a Java bytecode to WebAssembly compiler.

Browsers are how many end users interact with applications, and allowing browsers to run applications as fast as native opens new opportunities for developers. Wasm is a nascent and growing technology, and when anything runs in the browser, additional security considerations need to be made. Remembering that security issues plagued the era of browser engines like Flash and Silverlight (JavaFX is still active) and were a factor in their demise, it is important for the Wasm community to develop the technology with security in-built from the ground up.

Michael Azoff is Chief Analyst, Cloud and Data Center Practice, at Omdia.

This article originally ran on Omdia, the research arm of Informa.

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Food industry found it harder to fill cloud vacancies in Q2 data – just-food.com

Cloud-related jobs in the food industry that were closed during the second quarter had been online for an average of 36.7 days when they were taken offline, data suggests.

This was an increase compared to the equivalent figure a year earlier, indicating that the required skillset for these roles has become harder to find in the past year.

Cloud computing is one of the topics that GlobalData, our parent company and the source of the data, has identified as being a key disruptive technology force facing companies in the coming years. Companies that excel and invest in these areas now are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges.

On a regional level, these roles were hardest to fill in Europe, with related jobs that were taken offline in the second quarter online for an average of 56 days.

At the opposite end of the scale, jobs were filled fastest in the Middle East and Africa, with adverts taken offline after 15 days on average.

While the food industry found it harder to fill these roles in the latest quarter, these companies actually found it easier to recruit cloud jobs than the wider market, with ads online for 10.5% less time on average compared to similar jobs across the entire jobs market.

GlobalData's job analytics database tracks the daily hiring patterns of thousands of companies across the world, drawing in jobs as they're posted and tagging them with additional layers of data on everything from the seniority of each position to whether a job is linked to wider industry trends.

Hygienic Load Cells and Weighing Solutions

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KubeCon EU 2022: CNCF CTO Discusses the Future of Kubernetes, Emerging Use Cases & More – Spiceworks News and Insights

Kubernetes is quickly becoming the default go-to platform for deploying, scaling and maintaining software and applications. Its value lies in its open-source credentials, letting businesses deploy applications on-premises, hybrid, or on a public cloud. The Cloud Native Computing Foundation (CNCF) claims that today, 96% of organizations are either using or evaluating the technology. But what makes the platform so ubiquitous? Aberdeen Strategy & Researchs VP Jim Rapoza met with Chris Aniszczyk, the CTO of CNCF, at the sidelines of KubeCon EU 2022 to understand the whats and the whys of Kubernetes. Read on!

A modernized application infrastructure serves as the backbone of todays successful organizations. Organizations that excel in application development are, according to a study by Aberdeen Strategy and Research, in the top 30% of key success metrics in quality, performance, security, and reliability. These leaders run application development programs that are of the highest quality, the most efficient, and the most secure.

But what are those secret ingredients that make the application development programs of these leaders so successful? According to Jim Rapoza, the vice president and principal analyst at Aberdeen Strategy & Research, organizations running best-in-class application development embrace modernization across their entire IT stack, building cloud, on-premise, and development environments ideally positioned to run containers and Kubernetes based applications.

Similarly, DevOps organizations that are leaders in their industries are twice as much likely than their peers to develop Kubernetes applications. The same organizations are 95% more likely to take advantage of serverless trends in development, more likely to have multicluster container environments, and 60% more likely to deploy applications in hybrid cloud infrastructures.

SEE MORE: Why Managed Kubernetes as a Service Should Be a Part of Your DevOps Strategy

So why is Kubernetes becoming the go-to container-orchestration system for successful organizations? Rapoza states that, unlike traditional monolithic applications, applications built with Kubernetes and containers are created out of a whole set of microservices, all doing their own thing and creating unique levels of flexibility, portability, and scalability for applications. If a traditional application is at best a three-piece acapella group singing a pop song, a Kubernetes based application is a full orchestra playing a complex symphony, he says.

To learn more about recent developments in the Kubernetes universe, Rapoza caught up with Chris Aniszczyk, the CTO of Cloud Native Computing Foundation (CNCF) at KubeCon + CloudNativeCon EU 2022 conference in Valencia, Spain. CNCF, a Linux Foundation project that was founded in 2015 as an open source, vendor-neutral hub of cloud native computing, hosts plenty of KubeCon and CloudNativeCon events every year to let business leaders and developers share ideas, announce new projects, and discuss the latest developments in the application development sphere. The next KubeCon + CloudNativeCon North America 2022 conference will be held in Detroit, Michigan from October 24 28, 2022.

In his conversation with Rapoza, Aniszczyk talked about what Kubernetes means for business today, how it is transforming the way services and applications are created and delivered, and how businesses can better understand and leverage this vital technology. Watch the top highlights of Jim Rapozas interview with Chris Aniszczyk here:

According to Aniszczyk, Kubernetes came about to meet the needs of organizations to scale up their operations and to support millions of users. Over the past decade, companies have embraced digital transformation, moved to the Cloud, and the purpose of KubeCon is to help companies take advantage of new technologies and new developments in Kubernetes to scale their operations. Kubernetes can help companies deliver software faster and deliver value to customers.

KubeCon has seen tremendous participation this year with over 7,000 in-person and over 11,000 virtual attendees, said Aniszczyk. The conference aims to answer questions from over 7.1 million developers worldwide, and 150,000 developers from 140 countries are now participating in projects, making it a global community that is coming together to refine the Kubernetes technology.

If you want to learn about how to use the modern Kubernetes technologies, enable cloud native digital transformation, technology events like KubeCon are a good place to visit. Here you can learn the best practices of how to deliver software faster and more efficiently, updating them continuously, and delivering value to customers faster, he added.

SEE MORE: How To Build and Design a Cloud-Native Software From Scratch

If youre interested in scalability, reliability and efficiency, you need something like Kubernetes to efficiently power all your workloads, said Aniszczyk. Kubernetes helps businesses scale, helps make the infrastructure more efficient, be it at the Edge or on satellites. Businesses can use the technology to scale workloads and data centers in the cloud- two use cases that benefit from Kubernetes.

In terms of skill sets, theres a beautiful organization called EdX that provides training on Kubernetes. There is also a pre-professional certification called Kubernetes and Cloud Native Associate that I highly recommend developers to look at, says Aniszczyk. Also. Kubernetes.io and Cloud Native Foundation on Twitter are great places to learn.

Do you think Kubernetes has already become the default container orchestration platform for businesses? Let us know on LinkedIn, Twitter, or Facebook. We would love to hear from you!

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Quantum materials: entanglement of many atoms discovered for the first time – Newswise

Newswise In physics, Schroedingers cat is an allegory for two of the most awe-inspiring effects of quantum mechanics: entanglement and superposition. Researchers from Dresden and Munich have now observed these behaviors on a much larger scale than that of the smallest of particles. Until now, materials that display properties like, e.g., magnetism have been known to have so-called domains islands in which the materials properties are homogeneously either of one or a different kind (imagine them being either blackorwhite, for example). Looking at lithium holmium fluoride (LiHoF4), the physicists have now discovered a completely new phase transition, at which the domains surprisingly exhibit quantum mechanical features, resulting in their properties becoming entangled (being black and white at the same time). Our quantum cat now has a new fur because weve discovered a new quantum phase transition in LiHoF4which has not previously been known to exist, comments Matthias Vojta, Chair of Theoretical Solid State Physics at TUD.

Phase transitions and entanglement

We can easily observe the spontaneously changing properties of a substance if we look at water: at 100 degrees Celsius it evaporates into a gas, at zero degrees Celsius it freezes into ice. In both cases, these new states of matter form as a consequence of a phase transition where the water molecules rearrange themselves, thus changing the characteristics of the matter. Properties like magnetism or superconductivity emerge as a result of electrons undergoing phase transitions in crystals. For phase transitions at temperatures approaching the absolute zero at -273.15 degrees Celsius, quantum mechanical effects such as entanglement come into play, and one speaks of quantum phase transitions. Even though there are more than 30 years of extensive research dedicated to phase transitions in quantum materials, we had previously assumed that the phenomenon of entanglement played a role only on a microscopic scale, where it involves only a few atoms at a time,explains Christian Pfleiderer, Professor of Topology of Correlated Systems at the TUM.

Quantum entanglement is one of the most astonishing phenomena of physics, where the entangled quantum particles exist in a shared superposition state that allows for usually mutually exclusive properties (e.g., black and white) to occur simultaneously. As a rule, the laws of quantum mechanics only apply to microscopic particles. The research teams from Munich and Dresden have now succeeded in observing effects of quantum entanglement on a much larger scale, that of thousands of atoms. For this, they have chosen to work with the well-known compound LiHoF4.

Spherical samples enable precision measurements

At very low temperatures, LiHoF4acts as a ferromagnet where all magnetic moments spontaneously point in the same direction. If you then apply a magnetic field exactly vertically to the preferred magnetic direction, the magnetic moments will change direction, which is known as fluctuations. The higher the magnetic field strength, the stronger these fluctuations become, until, eventually, the ferromagnetism disappears completely at a quantum phase transition. This leads to the entanglement of neighboring magnetic moments. If you hold up a LiHoF4sample to a very strong magnet, it suddenly ceases to be spontaneously magnetic. This has been known for 25 years, summarizes Vojta.

What is new is what happens when you change the direction of the magnetic field. We discovered that the quantum phase transition continues to occur, whereas it had previously been believed that even the smallest tilt of the magnetic field would immediately suppress it, explains Pfleiderer. Under these conditions, however, it is not individual magnetic moments but rather extensive magnetic areas, so-called ferromagnetic domains, that undergo these quantum phase transitions. The domains constitute entire islands of magnetic moments pointing in the same direction. We have used spherical samples for our precision measurements. That is what enabled us to precisely study the behavior upon small changes in the direction of the magnetic field, adds Andreas Wendl, who conducted the experiments as part of his doctoral dissertation.

From fundamental physics to applications

We have discovered an entirely new type of quantum phase transitions where entanglement takes place on the scale of many thousands of atoms instead of just in the microcosm of only a few, explains Vojta. If you imagine the magnetic domains as a black-and-white pattern, the new phase transition leads to either the white or the black areas becoming infinitesimally small, i.e., creating a quantum pattern, bevor dissolving completely. A newly developed theoretical model successfully explains the data obtained from the experiments. For our analysis, we generalized existing microscopic models and also took into account the feedback of the large ferromagnetic domains to the microscopic properties, elaborates Heike Eisenlohr, who performed the calculations as part of her PhD thesis.

The discovery of the new quantum phase transitions is important as a foundation and general frame of reference for the research of quantum phenomena in materials, as well as for new applications. Quantum entanglement is applied and used in technologies like quantum sensors and quantum computers, amongst other things, says Vojta. Pfleiderer adds: Our work is in the area of fundamental research, which, however, can have a direct impact on the development of practical applications, if you use the materials properties in a controlled way.

Publikation:Emergence of mesoscale quantum phase transitions in a ferromagnetAndreas Wendl, Heike Eisenlohr, Felix Rucker, Christopher Duvinage, Markus Kleinhans, Matthias Vojta & Christian Pfleiderer,Nature609, 6570 (2022)https://www.nature.com/articles/s41586-022-04995-5

More information:The research has been financially supported by the Excellence Strategy of the German Federal and State Governments within the Wrzburg-Dresden Cluster of Excellence Complexity and Topology in Quantum Matter (ct.qmat) and the Cluster of Excellence Munich Center for Quantum Science and Technology (MCQST). In addition, the work has been supported by the European Research Council (ERC) via the Advanced Grant ExQuiSid and by the Deutsche Forschungsgemeinschaft (DFG) within the Collaborative Research Centers (SFB) 1143 und TRR80.

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Physics – Measuring the Similarity of Photons – Physics

September 2, 2022• Physics 15, 135

A new optical device measures photon indistinguishabilityan important property for future light-based quantum computers.

L. Carroll, Through the Looking-Glass (1871), illustrated by J. Tenniel; adapted by A. Crespi/Polytechnic University of Milan

L. Carroll, Through the Looking-Glass (1871), illustrated by J. Tenniel; adapted by A. Crespi/Polytechnic University of Milan

Photons can be used to perform complex computations, but they must be identical or close to identical. A new device can determine the extent to which several photons emitted by a source are indistinguishable [1]. Previous methods only gave a rough estimate of the indistinguishability, but the new method offers a precise measurement. The devicewhich is essentially an arrangement of interconnected waveguidescould work as a diagnostic tool in a quantum optics laboratory.

In optical quantum computing, sequences of photons are made to interact with each other in complex optical circuits (see Synopsis: Quantum Computers Approach Milestone for Boson Sampling). For these computations to work, the photons must have the same frequency, the same polarization, and the same time of arrival in the device. Researchers can easily check if two photons are indistinguishable by sending them through a type of interferometer in which two waveguidesone for each photoncome close enough that one photon can hop into the neighboring waveguide. If the two photons are perfectly indistinguishable, then they always end up together in the same waveguide.

For larger sets of photons, this kind of pairwise testing becomes impractical, as it has to be repeated for all possible two-photon combinations. Researchers have devised approximate methods, but they only give upper and lower bounds on the indistinguishability. When you have more than two photons, it is not so easy to assess whether they are identical, says Andrea Crespi from the Polytechnic University of Milan.

Crespi and his colleagues have come up with a simple method to determine the indistinguishability of multiple photons by letting them interact in a highly coordinated array of waveguides. As a first demonstration, the team constructed a system for four photons. They started with a glass slab and used a laser-writing technique to imprint eight high-density tubes for guiding photons through the slab. These waveguides are like an eight-lane freeway for photon drivers who can change lanes at specific points where neighboring lanes touch. For example, lane 2 touches lanes 1 and 3 at specific locations. A similar bridge also connects lanes 1 and 8, so that every lane touches two neighbors.

Using a semiconductor source called a quantum dot, the team repeatedly fed four photons into the odd lanes (1, 3, 5, 7) and recorded which lanes were occupied with a photon at the end of the freeway. Many final lane arrangements were observed, such as (1, 3, 5, 6) and (2, 4, 6, 8). Next the researchers heated one of the lanes with a laser to gradually change its index of refraction, which induced an oscillation in the probabilities for some of the final lane arrangements. These oscillations implied that interference effects were influencing the lane changes.

The team showed theoretically that the amplitude of the oscillations gives the so-called genuine indistinguishability, which is a number from 0 to 1, where 1 corresponds to perfectly identical photons. They found an indistinguishability of 0.8, meaning their system had some imperfections. The researchers also showed that they could make the oscillations disappear by rotating the polarization of one input photonthus making it distinguishable from the others.

The technique can conceivably work with more photons, but the number of measurements needed to see the lane-arrangement variation grows exponentially with the number of photons. So Crespi admits that it would be impractical for future optical computers dealing with 100 photons or more. Still, he foresees their device as a way to troubleshoot a quantum optics experiment when there is some doubt about the indistinguishability of the input photons. Our experiment adds a tool to the toolbox of the quantum optics experimenter, he says.

This paper reports a useful method to diagnose photonic quantum circuits by measuring the multiphoton indistinguishability, an important metric that is very sensitive to experimental imperfections, says quantum information specialist Chao-Yang Lu from the University of Science and Technology of China. Its a very clever interferometer design, says quantum optics expert Wolfgang Lffler from Leiden University in the Netherlands. He is also impressed by the optical system that generates and separates the photon sequence. Getting everything to work together is a major effort, Lffler says.

Michael Schirber

Michael Schirber is a Corresponding Editor forPhysics Magazine based in Lyon, France.

Mathias Pont, Riccardo Albiero, Sarah E. Thomas, Nicol Spagnolo, Francesco Ceccarelli, Giacomo Corrielli, Alexandre Brieussel, Niccolo Somaschi, Hlio Huet, Abdelmounaim Harouri, Aristide Lematre, Isabelle Sagnes, Nadia Belabas, Fabio Sciarrino, Roberto Osellame, Pascale Senellart, and Andrea Crespi

Phys. Rev. X 12, 031033 (2022)

Published September 2, 2022

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Unexplored Quantum Realm to Webb Reveals a Very Weird Alien Planet (The Galaxy Report) – The Daily Galaxy –Great Discoveries Channel

Posted on Sep 1, 2022 in Astrobiology, Astronomy, Astrophysics, Extraterrestrial Life, James Webb Space Telescope, quantum physics, Science, Science News, Space News, Universe

Todays stories from our amazing Universe include Will NASA Beat China to a Giant Radio Telescope on the Moons Far Side to What will Humanitys Legacy to the Universe Be, and much more.

Webb Snaps Its First Image Of An Exoplanet And Its A Very Weird World The unusual world is among the first targets studied by the new space observatory, reports IFL Science. The world in question is called HIP 65426b and its truly puzzling. Previous claims said it shouldnt exist as it doesnt fit our models of exoplanets (planets outside the Solar System), so observations of it are crucial to help astronomers develop better ones.

What will humanitys legacy to the Universe be? The last 70 years have taken us farther than the previous 70,000. But can we accomplish more than creating a record saying, We were here? asks Big Think.

Unexplored Quantum Realm about 3 Billion Times Colder than Deep Space, reports Rice University Japanese and U.S. physicists have used atoms about 3 billion times colder than interstellar space to open a portal to an unexplored realm of quantum magnetism.

NASAs Next Launch Attempt for Artemis I Will Occur September 3Technical glitches and questionable weather forecasts continue to delay liftoff for NASAs landmark lunar mission, reports Scientific American.

NASA Unveils Candidate Landing Sites for Artemis AstronautsWhen humans return to the moon, theyll likely visit one of these 13 regions near the moons south pole, reports Scientific American.

NASA and China Want to Land on the Same Areas on the Moon. They may have to compete for the limited resources on the lunar surface, reports Gizmodo. NASAs Artemis 3 mission has its sights set on the Moons south pole, a particularly valuable area since it may contain water ice in its shadowed regions.

Unobstructed Window on the Cosmos Will NASA Beat China to a Giant Radio Telescope on Moons Far Side? asks The Daily Galaxy. NASA better move fast! In February of 2019, China established the first human-technology landing site on Moons far side that they named The Milky Way Base. China has named the landing site of its Change-4 lunar probe (image landing above) Statio Tianhe after the Chinese name for the Milky Way Galaxy for the first-ever soft landing on the far side of the moon.

The Milky Way An Autobiography of Our Galaxy

Immortal Mystery ObjectEvery Brown Dwarf Ever Created Still Exists, reports The Daily Galaxy. Unlike stars, brown dwarfs cool as they age morphing in their appearance.

Webb inspects the heart of the Phantom Galaxy The Phantom Galaxy is around 32 million light-years away from Earth in the constellation Pisces, and lies almost face-on to Earth. This, coupled with its well-defined spiral arms, makes it a favorite target for astronomers studying the origin and structure of galactic spirals.

NASA Webbs First Full-Color Images, Data Are Set to Sound, reports NASATheres a new, immersive way to explore some of the first full-color infrared images and data from NASAs James Webb Space Telescope through sound. Listeners can enter the complex soundscape of the Cosmic Cliffs in the Carina Nebula, explore the contrasting tones of two images that depict the Southern Ring Nebula, and identify the individual data points in a transmission spectrum of hot gas giant exoplanet WASP-96 b.

Object Bigger than Pluto Discovered, Called 10th Planet, reports Robert Roy Britt for Space.com The new object, temporarily named 2003 UB313, is about three times as far from the Sun as is Pluto.

Jupiters true colors pop in new images from NASAs Juno mission, reports Tereza Pultarova for Space.com

1.7 billion years ago, Earth had a natural nuclear reactor Planets can create nuclear power on their own, naturally, without any intelligence or technology. Earth already did: 1.7 billion years ago, reports Big Think.

New telescopes seek the cosmic dark ages Radio astronomers look to far-flung locations to detect low-frequency signals that emanate from the ancient universe, reports Physics Today.

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Physics – A Wire on the Edge – Physics

September 1, 2022• Physics 15, s114

A cold-atom experiment suggests that interactions between particles can induce the coexistence of localized and extended states in a quantum wire.

In a 1D wire, the presence of impurities can halt the flow of any noninteracting particles, a process known as localization. Localized and conducting noninteracting particles cannot coexist in a 1D wire, so these impurities can limit the wires transport capabilities. Now Yunfei Wang from Shanxi University, China, and colleagues show that researchers could get around this localization problem if they instead use interacting particles [1]. The team says that the insights provided by their 1D study could be relevant to 3D systems.

For their experiments, the team created an artificial wire in a synthetic dimension defined by the momentum states of ultracold cesium atoms. They cooled the atoms to 10 nK, a temperature at which the atoms formed a Bose-Einstein condensate. Shining lasers on the atoms induced in the atoms controlled momentum-state changes such that an atom changing momentum states emulated a particle traveling through a wire. The team included impurities in the system by tuning the lasers to produce energy mismatches between the energy states of different atoms. The resulting interactions between atoms echoed the interactions between particles. Finally, by detecting the atoms momenta after experiencing momentum-state changes, the team inferred the analogous particle position in the wire.

The teams measurements show that a wire with interacting particles supports rich quantum transport behavior. Depending on the strength of the interactions and the level of impurities in the wire, it can behave as either a conductor, an insulator, or both, improving the wires transport abilities. The team says that their atom wire is analogous to a disordered optical waveguide. As such they say that their results could help in designing strategies to improve information propagation in photonic lattices.

Martin Rodriguez-Vega

Martin Rodriguez-Vega is an Associate Editor for Physical Review Letters.

Yunfei Wang, Jia-Hui Zhang, Yuqing Li, Jizhou Wu, Wenliang Liu, Feng Mei, Ying Hu, Liantuan Xiao, Jie Ma, Cheng Chin, and Suotang Jia

Phys. Rev. Lett. 129, 103401 (2022)

Published September 1, 2022

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Three Keys to Implementing Artificial Intelligence in Drug Discovery – Pharmacy Times

AI-based technologies are increasingly being used for things such as virtual screening, physics-based biological activity assessment, and drug crystal-structure prediction.

Despite the buzz around artificial intelligence (AI), most industry insiders know that the use of machine learning (ML) in drug discovery is nothing new. For more than a decade, researchers have used computational techniques for many purposes, such as finding hits, modeling drug-protein interactions, and predicting reaction rates.

Whatisnew is the hype. As AI has taken off in other industries, countless start-ups have emerged promising to transform drug discovery and design with AI-based technologies for things such as virtual screening, physics-based biological activity assessment, and drug crystal-structure prediction.

Investors have made huge bets that these start-ups will succeed. Investment reached$13.8 billionin 2020 and more than one-third of large-pharma executivesreportusing AI technologies.

Although a few AI-native candidates are in clinical trials,around 90%remain in discovery or preclinical development, so it will take years to see if the bets pay off.

Artificial Expectations

Along with big investments comes high expectationsdrug the undruggable, drastically shorten timelines, virtually eliminate wet lab work.Insider Intelligenceprojectsthat discovery costs could be reduced by as much as 70% with AI.

Unfortunately, its just not that easy. The complexity of human biology precludes AI from becoming a magic bullet. On top of this, data must be plentiful and clean enough to use.

Models must be reliable, prospective compounds need to be synthesizable, and drugs have to pass real-life safety and efficacy tests. Although this harsh reality hasnt slowed investment, it has led to fewer companies receiving funding, to devaluations, and to discontinuation of some more lofty programs, such as IBMs Watson AI for drug discovery.

This begs the question: Is AI for drug discovery more hype than hope? Absolutely not.

Do we need to adjust our expectations and position for success? Absolutely, yes. But how?

Three Keys to Implementing AI in Drug Discovery

Implementing AI in drug discovery requires reasonable expectations, clean data, and collaboration. Lets take a closer look.

1. Reasonable Expectations

AI can be a valuable part of a companys larger drug discovery program. But, for now, its best thought of as one option in a box of tools. Clarifying when, why, and how AI is used is crucial, albeit challenging.

Interestingly, investment has largely fallen to companies developing small molecules, which lend themselves to AI because theyre relatively simple compared to biologics, and also because there are decades of data upon which to build models. There is also great variance in the ease of applying AI across discovery, with models for early screening and physical-property prediction seemingly easier to implement than those for target prediction and toxicity assessment.

Although the potential impact of AI is incredible, we should remember that good things take time.Pharmaceutical Technologyrecently askedits readers to project how long it might take for AI to reach its peak in drug discovery, and by far, the most common answer was more than 9 years.

2. Clean Data

The main challenge to creating accurate and applicable AI models is that the available experimental data is heterogenous, noisy, and sparse, so appropriate data curation and data collection is of the utmost importance.

This quote from a2021Expert Opinion on Drug Discoveryarticlespeaks wonderfully to the importance of collecting clean data. While it refers to ADEMT and activity prediction models, the assertion also holds true in general. AI requires good data, and lots of it.

But good data are hard to come by. Publicly available data can be inadequate, forcing companies to rely on their own experimental data and domain knowledge.

Unfortunately, many companies struggle to capture, federate, mine, and prepare their data, perhaps due to skyrocketing data volumes, outdated software, incompatible lab systems, or disconnected research teams. Success with AI will likely elude these companies until they implement technology and workflow processes that let them:

3. Collaboration

Companies hoping to leverage AI need a full view of all their data, not just bits and pieces. This demands a research infrastructure that lets computational and experimental teams collaborate, uniting workflows and sharing data across domains and locations. Careful process and methodology standardization is also needed to ensure that results obtained with the help of AI are repeatable.

Beyond collaboration within organizations, key industry players are also collaborating to help AI reach its full potential, making security and confidentiality key concerns. For example, many large pharma companies have partnered with start-ups to help drive their AI efforts.

Collaborative initiatives, such as the MELLODDY Project, have formed to help companies leverage pooled data to improve AI models and vendors such as Dotmatics are building AI models using customers collective experimental data.

About the Author

Haydn Boehm is Director of Product Marketing at Dotmatics, a leader in R&D scientific software connecting science, data, and decision-making. Its enterprise R&D platform and scientists favorite applications drive efficiency and accelerate innovation.

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Three Keys to Implementing Artificial Intelligence in Drug Discovery - Pharmacy Times

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The pharma industry found it easier to fill artificial intelligence vacancies in Q2 2022 – Pharmaceutical Technology

Artificial intelligence related jobs that were closed during Q2 2022 had been online for an average of 30 days when they were taken offline.

This was a decrease compared to the equivalent figure a year earlier, indicating that the required skillset for these roles has become easier to find in the past year.

Artificial intelligence is one of the topics that GlobalData, our parent company and from whom the data for this article is taken, have identified as being a key disruptive technology force facing companies in the coming years. Companies that excel and invest in these areas now are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges.

On a regional level, these roles were hardest to fill in North America, with related jobs that were taken offline in Q2 2022 having been online for an average of 34 days.

The next most difficult place to fill these roles was found to be the Middle East and Africa, while Europe was in third place.

At the opposite end of the scale, jobs were filled fastest in Asia-Pacific, with adverts taken offline after 18.1 days on average.

While the pharmaceutical industry found it easier to fill these roles in the latest quarter, these companies also found it easier to recruit artificial intelligence jobs than the wider market, with ads online for 25% less time on average compared to similar jobs across the entire jobs market.

GlobalData's job analytics database tracks the daily hiring patterns of thousands of companies across the world, drawing in jobs as they're posted and tagging them with additional layers of data on everything from the seniority of each position to whether a job is linked to wider industry trends.

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The pharma industry found it easier to fill artificial intelligence vacancies in Q2 2022 - Pharmaceutical Technology

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Equality watchdog takes action to address discrimination in use of artificial intelligence – PoliticsHome

The use of artificial intelligence by public bodies is to be monitored by Britains equality regulator for the first time to ensure technologies are not discriminating against people.

There is emerging evidence that bias built into algorithms can lead to less favourable treatment of people with protected characteristics such as race and sex.

The Equality and Human Rights Commission has made tackling discrimination in AI a major strand of its new three-year strategy.

It is today publishing new guidance to help organisations avoid breaches of equality law, including the public sector equality duty (PSED). The guidance gives practical examples of how AI systems may be causing discriminatory outcomes.

From October, the Commission will work with a cross-section of 30 local authorities and other public bodies in England and Scotland to understand how they are using AI to deliver essential services, such as benefits payments, amid concerns that automated systems are inappropriately flagging certain families as a fraud risk.

The EHRC is also exploring how best to use its powers to examine how organisations are using facial recognition technology, following concerns that the software may be disproportionately affecting people from ethnic minorities.

These interventions will improve how organisations use AI and encourage public bodies to take action to address any negative equality and human rights impacts.

Marcial Boo, chief executive of the EHRC, said:

While technology is often a force for good, there is evidence that some innovation, such as the use of artificial intelligence, can perpetuate bias and discrimination if poorly implemented.

Many organisations may not know they could be breaking equality law, and people may not know how AI is used to make decisions about them.

Its vital for organisations to understand these potential biases and to address any equality and human rights impacts.

As part of this, we are monitoring how public bodies use technology to make sure they are meeting their legal responsibilities, in line with our guidance published today. The EHRC is committed to working with partners across sectors to make sure technology benefits everyone, regardless of their background.

The monitoring projects will last several months and will report initial findings early next year.

The Artifical Intelligence in Public Services guidance advises organisations to consider how the PSED applies to automated processes, to be transparent about how the technology is used and to keep systems under constant review.

In the private sector, the EHRC is currently supporting a taxi driver in a race discrimination claim regarding Ubers use of facial recognition technology for identification purposes.

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Equality watchdog takes action to address discrimination in use of artificial intelligence - PoliticsHome

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