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by Courtesy of Dreamworks
Dreamworks’ remake of The Time Machine is the latest expression of our fascination with time travel.
Start with a Black Hole …
The physical possibility of time traveL is something of a catch-22. Any object that’s surrounded by the twisted space-time that time travel requires must by its very nature be fantastically perilous, a maelstrom that would inevitably tear apart the foolhardy traveler. So physicists have labored to create a theoretically acceptable time machine that’s free from nasty side effects like certain death. Their starting point: black holes.
Black holes are famous for sucking in everything around them-including light-and never letting go. But black holes have other characteristics, namely the way they bend nearby space-time. A black hole is infinitely dense, which means that it pulls the fabric of space-time to the breaking point-creating a deep pockmark, complete with a tiny rip at the bottom.
Many have wondered what lies on the other side of this rip. In 1935, Einstein and his colleague Nathan Rosen developed a scenario in which the tiny rip in a black hole could be connected to another tiny rip in another black hole, joining two disparate parts of space-time via a narrow channel, or throat. The Einstein-Rosen bridge, as the notion was then called, looks like a black hole attached to a mirror image of itself.
This bridge-a sort of back door leading from the interior of one black hole into another-is today known as a wormhole. Such a portal could in theory create a shortcut through space-time-just the thing a time traveler would need if he wanted to cheat Father Time out of a few million years.
Next, Modify the Wormhole …
created between two black holes is minuscule, smaller than the center of a single atom, and remains open for only a fraction of a second. Even light, the fastest entity in the universe, would not have enough time to pass through. And no matter how sturdy his spacecraft, our traveler would inevitably be ripped apart by the black hole’s immense gravitational forces. Because of these and other problems, the Einstein-Rosen bridge was for many years thought of as a geometric curiosity, a theoretical quirk that could never be of use to even a fictional time traveler. Einstein’s equations might allow for wormholes, but the universe certainly did not. All that changed in the 1980s, however, when a physicist at the California Institute of Technology devised a better way to use wormholes as time machines.
If Einstein and Rosen are the architects of the space-time shortcut, then Kip Thorne of Caltech is its structural engineer. Starting from the rough sketch that Einstein and Rosen left behind, Thorne created an algorithm that describes in strict mathematical terms the physics of a working time machine. Of course, actually building Thorne’s time portal would require a technological prowess that is at least many centuries away. But his work proves that time travel is possible-at least in theory.
Thorne’s problem was finding a way to hold open the wormhole’s channel, or throat, long enough for an explorer to pass through. Ordinary matter won’t do: No matter how strong it is, any scaffolding made of matter cannot brace against the crush of space-time. Thorne needed a substance that could counteract the squeeze of a black hole. Thorne needed antigravity.
Antigravity does the trick; the problem is finding it. Einstein first postulated the existence of antigravity on cosmic scales in 1915, a conjecture proven correct eight decades later. But Einstein’s antigravity is wispy and dilute, a spoonful of sugar dissolved in the Pacific Ocean. Opening a wormhole requires a regular torrent of antigravity.
The best current candidate for creating concentrated antigravity is called the Casimir effect. Because of the quirks of quantum mechanics, two flat metal plates held a hair’s width apart generate a small amount of negative energy. That energy, multiplied many times over, could in principle be used to create a traversable wormhole. The widening, meanwhile, would dilute the strength of nearby gravity, preventing the traveler from being torn apart.
Once the antigravity scaffolding is holding open the portal, the traveler passing through would emerge in a distant place. But time travelers, of course, want to journey not just geographically but temporally. So Thorne’s next step was to desynchronize the two regions on either side of the wormhole.
To do this, he applied an old trick of Einstein’s. A major consequence of Einstein’s Special Theory of Relativity is that time slows for objects that move quickly. Thorne applied this principle to one of the two black holes that make up a wormhole. Imagine lassoing one of the black holes-perhaps by trapping it inside a cage of negative energy-and towing it around the universe at close to the speed of light. That black hole, and therefore that end of the wormhole, would age more slowly than the stationary end of the wormhole. Over time, the black holes would become desynchronized, two objects connected through the wormhole but existing in different eras. An explorer who entered the stationary end of the wormhole would exit the moving end, many years earlier than when he departed, making the wormhole a true time portal.
Or Try It on a Shoestring
The most recent development in the physics of time travel came in 1991, when Princeton astrophysicist J. Richard Gott III suggested that hypothetical objects called cosmic strings might enable an astronaut to travel backward in time. Cosmic strings are long, thin objects that some cosmologists believe coalesced out of the universe’s very earliest days. They are infinitely long, no wider than a single atom, and so dense that a few miles of a single cosmic string would outweigh Earth itself.
Gott’s proposal relies on idealized versions of cosmic strings. In order to be em-ployed in the service of a time traveler, two cosmic strings, perfectly parallel and traveling at nearly the speed of light, must whiz past one another like two cars traveling in opposite directions on a highway. As the strings pass each other, space-time would become profoundly distorted by the influence of these fast-moving filaments. A savvy time traveler, waiting in a nearby spaceship, could exploit those distortions by flying around the coupled strings. If he timed it just right, the twists in space-time would enable him to return to his starting point before he began-making the voyage a one-way trip back in time. Which means that, according to the laws of physics, journeys through time are conceivable, if rather difficult to arrange. It may be only a matter of time.
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A European radio telescope array just reached a major milestone in its quest to paint a picture of the radio night sky—and you can explore highlights of this mind-blowing cosmic map for yourself.
A team of scientists working on the LOw Frequency ARray (LOFAR) radio telescope in Europe published an overview of a new, freely available data package that covers 27 percent of the Northern sky. The data will be useful for researchers studying everything from the evolution of galaxies, black holes, exoplanets, and certain types of stars. These researchers are also looking for non-experts to get involved–they need your help to spot the wonders of the cosmos in all of those images.
LOFAR senses radio waves, as opposed to optical light captured by telescopes such as NASA’s Hubble Space Telescope. LOFAR also targets lower-frequency light than most other radio telescopes. It will map the entire Northern sky with very good resolution, says Timothy Shimwell, an astronomer at ASTRON, the Netherlands Institute for Radio Astronomy, which operates the LOFAR telescope.
The map is already incredibly detailed. With more than 4 million radio sources, most of which are galaxies, this data release has “more radio sources in it than all other surveys of the entire sky combined,” says Joe Callingham, a radio astronomer at Leiden University who contributed to LOFAR and will use its data in his research.
The telescope is essentially a large antenna stretching across Europe, built from smaller antennas. The hardware of the telescope doesn’t look cutting edge. The setup that detects lower frequencies is literally “a stick in the ground with some wires coming off it,” says Shimwell. The machine that detects higher frequencies, meanwhile, is essentially “a big styrofoam box with, like, a bow-tie shaped antenna inside it.” These are both relatively inexpensive compared to building a set of huge radio dishes like many other chúng tôi real brains of LOFAR are in the processing that’s done afterwards, Shimwell says. “It’s almost like a software telescope.”
On the “ground” of the visualization you can see a circle of disembodied Earth where the main antennas based in the Netherlands are planted. The cones of bright spots represent the view of the telescope—the areas of the sky it has scanned already. The bright spots are mostly galaxies that the telescope has imaged.
[Related: The ‘double-disk’ shape of the Milky Way could be common across galaxies]
Like the constellations you see when you look up at the night sky, LOFAR sees radio sources as a flat canvas. But the stars and galaxies spotted are actually spread out in three dimensions—two objects might appear to be close to each other in the sky while, in reality, one is much farther away. For example, the stars Betelgeuse and Bellatrix make up each shoulder in the constellation Orion, appear close together in the sky. But Betelgeuse is roughly twice as far away as Bellatrix is from Earth.
By combining the radio maps with data from another project, the LOFAR team could figure out how far away many of the radio sources in their dataset were. A team member used these measurements to make the distance of each bright spot correspond to its real distance in the cosmos.
“All of the data in that visualization is actually real,” Shimwell says. The radio sources aren’t all galaxies, but astronomers expect around 99.9 percent should be, Callingham says. Stars, unless they’re doing something strange, aren’t as bright as galaxies in radio frequencies, he says.
In 2023 the team published their first data release on 2 percent of the sky. They hope to complete the whole Northern sky in three or four years, Shimwell says.
With the enormous amount of data, scientists need people to help sort through images and train algorithms to sort through them better. You can join a citizen science project to help spot supermassive black holes and star forming galaxies in the images.
The new LOFAR dataset “is a really exciting and fantastic data product,” says Marin Anderson, an astronomer at NASA’s Jet Propulsion Laboratory and the Project Scientist for the Owens Valley Long Wavelength Array, a different radio observatory. The density of radio sources it has detected is more than eight times what other similar radio telescopes have been able to pick up, she says.
Anderson’s research focuses on radio signals that change over time—like those from stars and chúng tôi low-frequency range of the telescope will assist that kind of research, because emissions from stars and exoplanets are also better seen in low-frequency radio, compared to the frequencies that most radio telescopes see. Anderson is also gratified to see the sharpness of images from LOFAR.
“When you look at an image from Hubble…it’s mind blowing,” Anderson says. But usually when you look at a radio image, even if there’s lots of science packed into it, it’s “just a fuzzy blob.” In these sharper images, radio astronomers finally have something equivalent.
How frequently are you required to queue for a buddy who is late? It’s interesting how some individuals are so awful at scheduling while being so brilliant at inventing excuses for being chronically late. There’s traffic, damaged autos, alarm issues, and extraterrestrial visits. Whatever the situation, you swallow another justification, squander your time, and are likely to feel frustrated, furious, or sad, depending on your personality type.
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Estimated time of arrival, abbreviated as ETA, is a word used internationally to express the time of arrival. It is used in the shipping and logistics business to forecast when cargo will arrive at its ultimate destination port. Carries send arrival estimates to consignees so that they may plan their next steps based on when the cargo will arrive at the ultimate port. The container may come after the due date.
The estimated time of arrival (ETA) of a vessel, crate, or package in transit might assist the recipient in tracking their shipment without calling the shipment office. Simultaneously, operational teams may utilize this data to increase predictability and optimize supply schedules.How to Determine the Estimated Time of Arrival?
Several variables are brought into mind while computing ETAs. These are some examples. The distance from the point of origin to the end of the destination.
The vessel’s average speed
The number of ports of call
Weather and climate conditions
Time to refuel the vehicle
Congestion and port traffic
Unexpected emergencies, for example.Formula
Estimated departure time + Estimated transit time = Estimated arrival time (ETA)
Carriers must appropriately assess the time investment in procedures when issuing ETAs. Real-time visibility provided by API connectivity and intelligent technology aids in tracking vessels and providing an accurate departure time at the port for the ship or container.ETD vs. ETA
Estimated time of departure & Estimated time of delivery is two interchangeable words. When the vessel anticipates leaving the origin port is the estimated time of departure (ETD). Based on this, one may evaluate the arrival time (ETA).
The estimated delivery time (ETD) is when the shipment anticipates arriving at the final destination, which is the consignee’s address. ETD is rarely calculated but instead planned based on last-mile delivery activities. Please keep in mind that the expected arrival time (ETA) pertains to the ultimate port of destination, not the delivery location of the consignee. The predicted time of delivery is computed based on the ETA.Actual Arrival Time vs. Estimated Arrival Time
As the name implies, the estimated arrival time is the projected time when the vessel expects to arrive at the port.Terms linked to estimated arrival time
Estimated departure time
Complete container load
fewer than a container load
We’ve all experienced unexpected traffic delays caused by accidents, road construction, and other factors that affect our projected arrival time. It would be best if you left sooner than necessary. Bring books and study materials with you if you come soon so you may broaden your thoughts and have more intellectual weaponry for the job at hand. Carry articles and reading that will help you learn more about the next conference.
You can speak with significant individuals who are already present if you arrive early. It may be the helper or coworkers that were there before your visit. One or two remarks or observations will provide you with valuable information for your forthcoming presentation.Final Thoughts
There are several responses to the question, “ Why is it important to calculate the ETA?”. One thing is sure: the more precise the expected arrival time (ETA), the more efficient transportation and logistics organizations may use it. This article enables even more exact ETA predictions by including a wide variety of order-related data, such as routes for all allocated operations, current traffic, and different characteristics, such as historical average loading and unloading durations for each activity or remaining driving time.
Qualcomm’s overheating Snapdragon 810
Perhaps the most troubled chipset of recent times is 2023’s hotter than hot Qualcomm Snapdragon 810. Its smaller Snapdragon 808 sibling also paid the price for Qualcomm’s dented reputation.
Before the chip landed, rumors abounded that the processor ran into overheating issues. Sure enough, the LG G Flex 2, the first phone sporting the chipset, suffered performance throttling due to heat, handing in benchmarks below previous-gen chipsets. As more and more handsets launched, widespread fears of a chip-level problem were confirmed. The HC M9 and Xiaomi Mi Note Pro were two other high-profile launches that ran more than a little hot that year.
Intel didn’t even make it to 4G
Andy Walker / Android Authority
Intel makes this list not for the damage its chips did to products but for its negligible impact in the smartphone space. However, it wasn’t for lack of trying. Intel and Google entered a joint partnership to provide Android support for Intel processors in September 2011, followed by Intel Atom processors designed for phones under the Medfield, Clover Trail, and Moorefield architectures.
Two of the first Android smartphones to use an Intel processor were the Lenovo K800 and Motorola RAZR i in 2012. But the early Atom lineup was perhaps most popular in the tablet space. None of these became knock-out devices. ASUS turned out to be the most avid adopter of Intel’s mobile chipsets. ASUS’ 2014 Zenfone series launched with dual-core Intel Atom processors. The company moved on to a quad-core Atom chipset for 2023’s Zenfone 2 and Zenfone Zoom handsets. But that was as far as the company went — ASUS eventually moved on to MediaTek and Qualcomm chipsets like the rest of the industry.
MediaTek’s dabble with deca-core
While we’re on the subject of chipsets that didn’t end up in consumer hands, does anyone remember the MediaTek Helio X20 and X30? 2023’s Helio X20 was well ahead of its time — it was the first chipset to sport a tri-cluster CPU arrangement which you’ll now find in all high-end Android mobile chipsets.
Despite boasting a novel tri-cluster design and 10 CPU cores, the Helio X20 and its successors were all underpowered. The use of just two big cores and eight low power cores, four of which had low clock speeds, left the chipset lacking the grunt of rival flagship processors. Although not a good look for a supposedly flagship-tier chipset, the X20 found a home in affordable phones from Doogie, Elephone, LeEco, Sharp, Xiaomi, and more.
MediaTek was first to today’s tri-cluster CPU designs but couldn’t land the necessary performance win.
MediaTek continued this idea with 2023’s Helio X30, which featured a new PowerVR GPU and Tensilica DSP designed to rival the best in the business. But the lackluster performance failed to entice customers — Meizu was MediaTek’s only client for the X30. In fact, the 10-core Helio X lineup was seemingly so bad for business that MediaTek dropped out of the flagship chip space for years, only recently returning with the powerhouse Dimensity 9000.
Deliberately throttling performance was always going to backfire.
Apple instituted a lower-cost battery replacement program to address the controversy, even for out-of-warranty customers. A subsequent iOS 11.3 update also includes an option to turn off this generously dubbed “peak performance capability.” Even so, Apple is still throttling the performance of older iPhones once they reach a certain age.
Read more: GPU vs CPU — What’s the difference?
Robert Triggs / Android Authority
That’s it for our top five, but quite a few other chipset fails spring to mind. Here’s a roundup of a few of the more noticeable ones:
Did you know that Xiaomi also dabbled in phone SoC development? Its Surge S1 was built from eight low-power Cortex-A53 CPU cores, middling Mali-T860 MP4 GPU, and an outdated 28nm HPC process. It only appeared in the Chinese-exclusive Xiaomi Mi 5c, so hardly made a splash. The Surge S1 was an OK affordable processor, but we haven’t seen anything better from Xiamoi since that limited 2023 debut.
Speaking of octa-core Cortex-A53 processors, remember when they swamped the budget market? Thank goodness they’re gone, but MediaTek stubbornly held onto this arrangement for a couple of years after Qualcomm and Samsung (mostly) moved on. See the entire Helio P series up to 2023’s P35 and 2023’s Helio G25 and G35 as the last examples. Although these chips may have been cost-effective, we’ve seen significant performance jumps in more affordable smartphone segments since vendors started implementing a couple of big cores.
According to a report published by the World Travel and Tourism Council, by the year 2028, the tourism sector is expected to grow by $12.4 billion at an annual growth rate of 3.8% p.a. As the industry continues to expand, it has started embracing digitization which in turn has made the complete process of B2B and B2C interaction agile and frictionless. Ever since the Internet boom, consumer expectations have heightened and the travel industry is adapting to provide customers or travelers with the best in class service as well as value for their money. With a plethora of travel applications, it has now become more accessible to search, book and travel to the ends of the world.
As we enter the year 2023, we decided to look at the top reasons which have made travel applications – a catalyst – to the rise of the global economy.
1. Giving Tailored and Unique Experience
Related: – How can Successful in Mobile App Market in 2023
2. Smooth Bookings and Reservations on the Go
Helping both the vendor and the consumer alike, travel applications tend to streamline transactions and hence makes it easier for both the parties to keep track of the money they spend and earn.
For example, a user can easily book a hotel a thousand miles away without the need to leave his home, and a hotel can receive the payment as well as guest details in a fast and frictionless manner. Be it digital receipts or the booking confirmation these applications have made the process completely paperless, while at the same time avoiding intermediary costs (travel agent fee, costs of international money transfer, etc…).
3. More Customer Data to Improve your Business
The travel and tourism industry solely operates on user reviews and experiences. If a user visits a destination and finds it appealing, the place is likely to see more visitors visiting it in the time to come. Similarly, terrible experiences with poor amenities would leave a destination wanting for tourist and visitors.
Streamlining businesses and transactions through travel applications allow business owners to gather more customer information sequentially and process this information/reviews to find out ways to improve their business.
4. Easy to Do Behavioural Marketing
Utilizing the data and metrics obtained from the travel applications allows travel companies to gain insights into where the customer spends his time online. This includes a diversity of information such as what applications the user gravitates towards, what they like, what they don’t like etc. Each of these factors acts as a critical driver` for the travel companies to offer the right product and services from the supplier to consumers.
Travel companies think of these applications as a testing ground where they get to decipher what consumers need and based on the requirements create discounts and offers which turns visitors into customers.
To increase the tourist’s inflow, various countries have launched travel applications which will help provide both the residents and non-residents a deeper insight into what the country has to offer. Some of these applications include:
1. Incredible India App
A location-based travel application, the Incredible India App gives users information regarding government approved tourist service providers aside from letting them know about the hotspots within the city. From government approved guides to government registered hotels, a user can quickly obtain information on his device with a single request made on the app.
2. Tripgator Application
3. TravelSmartHow will These Travel Applications Evolve in 2023?
As technology and times evolve so do these travel applications. Below are the top 5 trends we are likely to see being adopted in the year 2023.
1. Wearable Travel Apps
Ever since the launch of the first Apple watches in the year 2014, wearable applications have started gaining traction. Though there are some limitations that prevent wearable applications from seeing mainstream adoption, research shows that these applications have a definite place in the market.
With the wearable travel applications the process of commuting can be made frictionless and convenient for users, for example, airlines push updates directly on the passenger’s smartwatch. Similarly, the live locations of cabs and taxis can be made visible.
Chatbots, a use case of AI, has excellent potential to be successful in easing the commute and assisting the customers with their queries. Chatbots can be designed to analyze the user response and their travel patterns as well as choices, and hence offer travel options at an affordable price.
While they will save the travel companies money spent on employing resources to answer user queries, they will also be able to offer a personalized experience to the user.
3. Predictive Analysis
One of the most exciting developments travel applications can see is the inclusion of predictive analysis. Predictive analysis is the analysis of the present data set to predict future behavior. This analysis if incorporated in travel applications can help find the best possible route at the best price for use in the times to come. This will help alert users about when to book tickets to specific destinations and when to avoid based on past analysis.
In the present scenario, the success of any business can’t be imagined without the support of mobile app development . With digital disruption and mobilegeddon crashing 2023, the utility of travel apps is only going to increase more than ever. Building a long-term relationship with customers and providing experience each time they travel will undoubtedly boost revenue for the government.Shagun bagra
Hey!!! My name is Shagun Bagra. My interest in researching and share information on the Digital Transformation and Technology.
Women wearing capri pants and teens in bell-bottom pants were the first signs I noticed that signaled the return of the 1960s. My daughter wanting a lava lamp for her birthday was another sign. And the forthcoming Paul Simon and Bob Dylan concert tour is yet another key indicator that 1960s fashions, music, and attitudes are back in vogue. But the clearest sign that we’ve gone back to the hippie days of my youth is the resurgence of time-sharing computer systems. (see July 1999 article, “Rent an app and relax” in Datamation)
Today, it’s labeled ERP outsourcing, and the companies are called application service providers (ASPs), but the basic concept is the same as the old-fashioned time share. Instead of hiring an IT staff, buying a lot of software and hardware, and praying for a miracle, an organization buys the processing tasks it needs from a third party on a per-seat pricing basis. The outsourcer–EDS Corp., Hewlett-Packard Co., IBM, Oracle Corp. and others–sets up the application, trains your staff, runs the software on its boxes in its data center, and upgrades the software when needed.
ASPs ON THE RISE
By 2003, offering ERP services over the Web will be a $2 billion business, as more than a dozen applications service providers (ASPs) jump into the market.
Thanks to three things–the Internet, widespread interest in ERP as a solution, and vendors desperate to penetrate a suspicious middle market–the lease-rather-than-buy approach is all the rage these days. Software vendors, implementation consultants, market analysts, and publishing companies can’t pump out enough material praising the concept, and market researchers forecast ERP outsourcing revenues of $4 billion or more by tomorrow afternoon. For example, the ASP subset of ERP outsourcing–applications and transactions presented over the Internet by a third party hosting the software in one system for multiple clients–will become a $2 billion a year business by the year 2003, according to International Data Corp., of Framingham, Mass. (see chart, “ASPs on the rise”).
A short history lesson
The time-sharing approach, also known as a service bureau, grew out of two basic factors prevalent three decades ago. One, the buyers needed the technology but were afraid of the costs and complexities of “electronic data processing”–that’s what IT was called in those days. Two, the EDP sellers–IBM and the BUNCH (Burroughs, Univac, NCR, Control Data, Honeywell) couldn’t find enough customers to buy their iron, so they rented the systems by the minute or second, hence the name, “time sharing.” Here’s the Reality Check: Time sharing was all about risk avoidance, otherwise known as risk management.
By the end of the 1970s, though, the EDP risk-management equation changed. The technology had matured. More EDP priests were available to run the systems. System prices began to drop in the 1980s, due to competition, government intervention, and improved technology (there’s a reason why dumb terminals had that name). Except in a few industries or functions-the securities industry and payroll processing–time sharing became passe. CEO manhood was symbolized by having your own data center and MIS department–only wimps shared systems. Managers perceived that the risk of not owning and controlling the technology was higher than the risk of owning it.
Fast forward to 1999. Client/server ERP systems are introduced; it’s a new software technology on a new hardware base. The fledgling technology acquires a reputation as money and time sinkholes. CEOs hate spending money on any new and unproven technology–look at the success of the AS/400 to this day. Yet the appeal of an integrated suite that is Y2K compliant and is used by your customers and suppliers is strong. So the cautious CEOs listen to the pitches from EDS, Hewlett-Packard, IBM, Oracle, SAP AG, and the dozens of other companies offering to reduce the ERP risk by renting you a complete solution.
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