Hardware And Networking Quotes

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a ‘change’ is any activity that is physical, logical, or virtual to applications, databases, operating systems, networks, or hardware that could impact services being delivered.
Gene Kim (The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win)
We have in our head a remarkably powerful computer, not vast by conventional hardware standards, but able to represent the structure of our world by various types of associative links in a vast network of various types of ideas.
Daniel Kahneman (Thinking, Fast and Slow)
Under a $652-million clandestine program code named GENIE, the NSA, CIA, and special military operatives have planted covert digital bugs in tens of thousands of computers, routers, and firewalls around the world to conduct computer network exploitation, or CNE. Some are planted remotely, but others require physical access to install through so-called interdiction—the CIA or FBI intercepts shipments of hardware from manufacturers and retailers in order to plant malware in them or install doctored chips before they reach the customer.
Kim Zetter (Countdown to Zero Day: Stuxnet and the Launch of the World's First Digital Weapon)
Private sector networks in the United States, networks operated by civilian U.S. government agencies, and unclassified U.S. military and intelligence agency networks increasingly are experiencing cyber intrusions and attacks,” said a U.S.-China Economic and Security Review Commission report to Congress that was published the same month Conficker appeared. “. . . Networks connected to the Internet are vulnerable even if protected with hardware and software firewalls and other security mechanisms. The government, military, businesses and economic institutions, key infrastructure elements, and the population at large of the United States are completely dependent on the Internet. Internet-connected networks operate the national electric grid and distribution systems for fuel. Municipal water treatment and waste treatment facilities are controlled through such systems. Other critical networks include the air traffic control system, the system linking the nation’s financial institutions, and the payment systems for Social Security and other government assistance on which many individuals and the overall economy depend. A successful attack on these Internet-connected networks could paralyze the United States [emphasis added].
Mark Bowden (Worm: The First Digital World War)
So, just as all Fords rolling off the assembly line in a given week might have serial numbers beginning with the same few characters, all the network chips in a given batch would start with the same few hex digits. Some of Dinah’s chips were cheap off-the-shelf hardware made for terrestrial use, but she also had some rad-hard ones, which she hoarded in a shielded box in a drawer beneath her workstation. She opened that drawer, pulled out that box, and took out a little green PC board, about the size of a stick of gum, with an assortment of chips mounted to it. Printed in white capital letters directly on the board was its MAC address. And its first half-dozen digits matched those in the transmission coming from the Space Troll.
Neal Stephenson (Seveneves)
To be a software developer was to run the rest stops off the exits and to make sure that all the fast-food and gas station franchises accorded with each other and with user expectations; to be a hardware specialist was to lay the infrastructure, to grade and pave the roads themselves; while to be a network specialist was to be responsible for traffic control, manipulating signs and lights to safely route the time-crunched hordes to their proper destinations. To get into systems, however, was to be an urban planner, to take all of the components available and ensure their interaction to maximum effect. It was, pure and simple, like getting paid to play God, or at least a tinpot dictator.
Edward Snowden (Permanent Record)
A convivial society should be designed to allow all its members the most autonomous action by means of tools least controlled by others. People feel joy, as opposed to mere pleasure, to the extent that their activities are creative; while the growth of tools beyond a certain point increases regimentation, dependence, exploitation, and impotence. I use the term "tool" broadly enough to include not only simple hardware such as drills, pots, syringes, brooms, building elements, or motors, and not just large machines like cars or power stations; I also include among tools productive institutions such as factories that produce tangible commodities like corn flakes or electric current, and productive systems for intangible commodities such as those which produce "education," "health," "knowledge," or "decisions." I use this term because it allows me to subsume into one category all rationally designed devices, be they artifacts or rules, codes or operators, and to distinguish all these planned and engineered instrumentalities from other things such as basic food or implements, which in a given culture are not deemed to be subject to rationalization. School curricula or marriage laws are no less purposely shaped social devices than road networks. 5
Ivan Illich
A great deal of effort has been devoted to explaining Babel. Not the Babel event -- which most people consider to be a myth -- but the fact that languages tend to diverge. A number of linguistic theories have been developed in an effort to tie all languages together." "Theories Lagos tried to apply to his virus hypothesis." "Yes. There are two schools: relativists and universalists. As George Steiner summarizes it, relativists tend to believe that language is not the vehicle of thought but its determining medium. It is the framework of cognition. Our perceptions of everything are organized by the flux of sensations passing over that framework. Hence, the study of the evolution of language is the study of the evolution of the human mind itself." "Okay, I can see the significance of that. What about the universalists?" "In contrast with the relativists, who believe that languages need not have anything in common with each other, the universalists believe that if you can analyze languages enough, you can find that all of them have certain traits in common. So they analyze languages, looking for such traits." "Have they found any?" "No. There seems to be an exception to every rule." "Which blows universalism out of the water." "Not necessarily. They explain this problem by saying that the shared traits are too deeply buried to be analyzable." "Which is a cop out." "Their point is that at some level, language has to happen inside the human brain. Since all human brains are more or less the same --" "The hardware's the same. Not the software." "You are using some kind of metaphor that I cannot understand." "Well, a French-speaker's brain starts out the same as an English-speaker's brain. As they grow up, they get programmed with different software -- they learn different languages." "Yes. Therefore, according to the universalists, French and English -- or any other languages -- must share certain traits that have their roots in the 'deep structures' of the human brain. According to Chomskyan theory, the deep structures are innate components of the brain that enable it to carry out certain formal kinds of operations on strings of symbols. Or, as Steiner paraphrases Emmon Bach: These deep structures eventually lead to the actual patterning of the cortex with its immensely ramified yet, at the same time, 'programmed' network of electrochemical and neurophysiological channels." "But these deep structures are so deep we can't even see them?" "The universalists place the active nodes of linguistic life -- the deep structures -- so deep as to defy observation and description. Or to use Steiner's analogy: Try to draw up the creature from the depths of the sea, and it will disintegrate or change form grotesquely.
Neal Stephenson (Snow Crash)
Similarly, the computers used to run the software on the ground for the mission were borrowed from a previous mission. These machines were so out of date that Bowman had to shop on eBay to find replacement parts to get the machines working. As systems have gone obsolete, JPL no longer uses the software, but Bowman told me that the people on her team continue to use software built by JPL in the 1990s, because they are familiar with it. She said, “Instead of upgrading to the next thing we decided that it was working just fine for us and we would stay on the platform.” They have developed so much over such a long period of time with the old software that they don’t want to switch to a newer system. They must adapt to using these outdated systems for the latest scientific work. Working within these constraints may seem limiting. However, building tools with specific constraints—from outdated technologies and low bitrate radio antennas—can enlighten us. For example, as scientists started to explore what they could learn from the wait times while communicating with deep space probes, they discovered that the time lag was extraordinarily useful information. Wait times, they realized, constitute an essential component for locating a probe in space, calculating its trajectory, and accurately locating a target like Pluto in space. There is no GPS for spacecraft (they aren’t on the globe, after all), so scientists had to find a way to locate the spacecraft in the vast expanse. Before 1960, the location of planets and objects in deep space was established through astronomical observation, placing an object like Pluto against a background of stars to determine its position.15 In 1961, an experiment at the Goldstone Deep Space Communications Complex in California used radar to more accurately define an “astronomical unit” and help measure distances in space much more accurately.16 NASA used this new data as part of creating the trajectories for missions in the following years. Using the data from radio signals across a wide range of missions over the decades, the Deep Space Network maintained an ongoing database that helped further refine the definition of an astronomical unit—a kind of longitudinal study of space distances that now allows missions like New Horizons to create accurate flight trajectories. The Deep Space Network continued to find inventive ways of using the time lag of radio waves to locate objects in space, ultimately finding that certain ways of waiting for a downlink signal from the spacecraft were less accurate than others. It turned to using the antennas from multiple locations, such as Goldstone in California and the antennas in Canberra, Australia, or Madrid, Spain, to time how long the signal took to hit these different locations on Earth. The time it takes to receive these signals from the spacecraft works as a way to locate the probes as they are journeying to their destination. Latency—or the different time lag of receiving radio signals on different locations of Earth—is the key way that deep space objects are located as they journey through space. This discovery was made possible during the wait times for communicating with these craft alongside the decades of data gathered from each space mission. Without the constraint of waiting, the notion of using time as a locating feature wouldn’t have been possible.
Jason Farman (Delayed Response: The Art of Waiting from the Ancient to the Instant World)
system testing, involves testing of a complete application environment in a situation that mimics real-world use, such as interacting with a database, using network communications, or interacting with other hardware, applications,
Anonymous
This device combines multiple features into a single hardware device. These features often include those of an AP, firewall, router, and Dynamic Host Configuration Protocol (DHCP) server, along with other features. Strictly speaking, these devices are residential WLAN gateways as they are the entry point from the Internet into the wireless network. However, most vendors instead choose to label their products as wireless broadband routers or simply wireless routers. Due
Mark Ciampa (Security+ Guide to Network Security Fundamentals)
Terrorism suspects aren’t the NSA’s only targets, however. Operations against nation-state adversaries have exploded in recent years as well. In 2011, the NSA mounted 231 offensive cyber operations against other countries, according to the documents, three-fourths of which focused on “top-priority” targets like Iran, Russia, China, and North Korea. Under a $652-million clandestine program code named GENIE, the NSA, CIA, and special military operatives have planted covert digital bugs in tens of thousands of computers, routers, and firewalls around the world to conduct computer network exploitation, or CNE. Some are planted remotely, but others require physical access to install through so-called interdiction—the CIA or FBI intercepts shipments of hardware from manufacturers and retailers in order to plant malware in them or install doctored chips before they reach the customer.
Anonymous
M113 Family of Vehicles Mission Provide a highly mobile, survivable, and reliable tracked-vehicle platform that is able to keep pace with Abrams- and Bradley-equipped units and that is adaptable to a wide range of current and future battlefield tasks through the integration of specialised mission modules at minimum operational and support cost. Entered Army Service 1960 Description and Specifications After more than four decades, the M113 family of vehicles (FOV) is still in service in the U.S. Army (and in many foreign armies). The original M113 Armoured Personnel Carrier (APC) helped to revolutionise mobile military operations. These vehicles carried 11 soldiers plus a driver and track commander under armour protection across hostile battlefield environments. More importantly, these vehicles were air transportable, air-droppable, and swimmable, allowing planners to incorporate APCs in a much wider range of combat situations, including many "rapid deployment" scenarios. The M113s were so successful that they were quickly identified as the foundation for a family of vehicles. Early derivatives included both command post (M577) and mortar carrier (M106) configurations. Over the years, the M113 FOV has undergone numerous upgrades. In 1964, the M113A1 package replaced the original gasoline engine with a 212 horsepower diesel package, significantly improving survivability by eliminating the possibility of catastrophic loss from fuel tank explosions. Several new derivatives were produced, some based on the armoured M113 chassis (e.g., the M125A1 mortar carrier and M741 "Vulcan" air defence vehicle) and some based on the unarmoured version of the chassis (e.g., the M548 cargo carrier, M667 "Lance" missile carrier, and M730 "Chaparral" missile carrier). In 1979, the A2 package of suspension and cooling enhancements was introduced. Today's M113 fleet includes a mix of these A2 variants, together with other derivatives equipped with the most recent A3 RISE (Reliability Improvements for Selected Equipment) package. The standard RISE package includes an upgraded propulsion system (turbocharged engine and new transmission), greatly improved driver controls (new power brakes and conventional steering controls), external fuel tanks, and 200-amp alternator with four batteries. Additional A3 improvements include incorporation of spall liners and provisions for mounting external armour. The future M113A3 fleet will include a number of vehicles that will have high speed digital networks and data transfer systems. The M113A3 digitisation program includes applying hardware, software, and installation kits and hosting them in the M113 FOV. Current variants: Mechanised Smoke Obscurant System M548A1/A3 Cargo Carrier M577A2/A3 Command Post Carrier M901A1 Improved TOW Vehicle M981 Fire Support Team Vehicle M1059/A3 Smoke Generator Carrier M1064/A3 Mortar Carrier M1068/A3 Standard Integrated Command Post System Carrier OPFOR Surrogate Vehicle (OSV) Manufacturer Anniston Army Depot (Anniston, AL) United Defense, L.P. (Anniston, AL)
Russell Phillips (This We'll Defend: The Weapons & Equipment of the US Army)
For hardware, you’ll need an Android device running Android version 4.3 or later. While Android began supporting BLE version 4.3, we recommend a device running at least version 4.4, which includes an updated and more stable version of the BLE protocol stack. You’ll also need to make sure the hardware supports Bluetooth Low Energy.
Kevin Townsend (Getting Started with Bluetooth Low Energy: Tools and Techniques for Low-Power Networking)
Tas led us down the hall to his cold, dark, Gigeresque computer room. Network cables and power cords covered with thick metal shielding dangled from the ceiling, forming a web over our heads as they trailed back and forth to the racks of computer hardware. They looked like tendrils spreading out from the belly of some hideous alien-cyborg creature. Red LED lights flashed here and there in the darkness, and racks of computer equipment loomed obelisk-like around us. “This place is creepy,” Butch said. “Do you sacrifice virgins in here when you’re not hacking?” Tas smirked.
Jamie Sedgwick (Death in the Hallows (Hank Mossberg, Private Ogre #2))
first is that we’re living in a time of astonishing progress with digital technologies—those that have computer hardware, software, and networks at their core.
Erik Brynjolfsson (The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies)
physical sharing and exchange of computer tapes and disks on which the code was recorded. In current Internet days, rapid technological advances in computer hardware and software and networking technologies have made it much easier to create and sustain a communal development style on ever-larger scales. Also, implementing new projects is becoming progressively easier as effective project design becomes better understood, and as prepackaged infrastructural support for such projects becomes available on the Web. Today, an open source software development project is typically initiated by an individual or a small group seeking a solution to an individual's or a firm's need. Raymond (1999, p. 32) suggests that "every good work of software starts by scratching a developer's personal itch" and that "too often software developers spend their days grinding away for pay at programs they neither need nor love. But not in the (open source) world...." A project's initiators also generally become the project's "owners" or "maintainers" who take on responsibility for project management." Early on, this individual or group generally develops a first, rough version of the code that outlines the functionality envisioned. The source code for this initial version is then made freely available to all via downloading from an Internet website established by the project. The project founders also set up infrastructure for the project that those interested in using or further developing the code can use to seek help, provide information or provide new open source code for others to discuss and test. In the case of projects that are successful in attracting interest, others do download and use and "play with" the code-and some of these do go on to create new and modified code. Most then post what they have done on the project website for use and critique by any who are interested. New and modified code that is deemed to be of sufficient quality and of general interest by the project maintainers is then added to the authorized version of the code. In many projects the privilege of adding to the authorized code is restricted to only a few trusted developers. These few then serve as gatekeepers for code written by contributors who do not have such access (von Krogh and Spaeth 2002). Critical tools and infrastructure available to open source software project participants includes email lists for specialized purposes that are open to all. Thus, there is a list where code users can report software failures ("bugs") that they encounter during field use of the software. There is also a list where those developing the code can share ideas about what would be good next steps for the project, good features to add, etc. All of these lists are open to all and are also publicly archived,
Eric von Hippel (Democratizing Innovation)
Virtualization in computing often refers to the abstraction of some physical component into a logical object. By virtualizing an object, you can obtain some greater measure of utility from the resource the object provides. For example, Virtual LANs (local area networks), or VLANs, provide greater network performance and improved manageability by being separated from the physical hardware.
Matthew Portnoy (Virtualization Essentials)
ARP poisoning uses ARP packets to give clients false hardware address updates and attackers use it to redirect or interrupt network traffic.
Darril Gibson (CompTIA Security+: Get Certified Get Ahead: SY0-401 Study Guide)
By having no affiliation with “coin” in its name, Ethereum was moving beyond the idea of currency into the realm of cryptocommodities. While Bitcoin is mostly used to send monetary value between people, Ethereum could be used to send information between programs. It would do so by building a decentralized world computer with a Turing complete programming language.11 Developers could write programs, or applications, that would run on top of this decentralized world computer. Just as Apple builds the hardware and operating system that allows developers to build applications on top, Ethereum was promising to do the same in a distributed and global system. Ether, the native unit, would come into play as follows: Ether is a necessary element—a fuel—for operating the distributed application platform Ethereum. It is a form of payment made by the clients of the platform to the machines executing the requested operations. To put it another way, ether is the incentive ensuring that developers write quality applications (wasteful code costs more), and that the network remains healthy (people are compensated for their contributed resources).
Chris Burniske (Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond)
Outside of proof-of-work, other consensus mechanisms exist, such as proof-of-stake (PoS). Proof-of-stake can be thought of as an alternative form of mining, one that doesn’t require lots of hardware and electricity, but instead requires people to put their reputation and assets at risk to help validate transactions. Logistically, proof-of-stake requires transaction validators to “stake” a balance of the cryptoasset and then attest to the validity of transactions in blocks. If validators are lying or otherwise deceiving the network, they will lose their staked assets. As the name implies, in “proving they have something at stake,” the validators are incentivized to be honest.
Chris Burniske (Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond)
Sarge, this is Grayson,” I send to Sergeant Fallon. She has turned the platoon channel into our new top-level command circuit. The encryption isn’t completely bulletproof, especially not against our own people, but even with the hardware they have on the Midway, it will take the fleet a while to break into our renegade comms network
Marko Kloos (Lines of Departure (Frontlines, #2))
Reber’s telescope, though without precedent, was small and crude by today’s standards. Modern radio telescopes are quite another matter. Unbound by backyards, they’re sometimes downright humongous. MK 1, which began its working life in 1957, is the planet’s first genuinely gigantic radio telescope—a single, steerable, 250-foot-wide, solid-steel dish at the Jodrell Bank Observatory near Manchester, England. A couple of months after MK 1 opened for business, the Soviet Union launched Sputnik 1, and Jodrell Bank’s dish suddenly became just the thing to track the little orbiting hunk of hardware—making it the forerunner of today’s Deep Space Network for tracking planetary space probes
Neil deGrasse Tyson (Astrophysics for People in a Hurry (Astrophysics for People in a Hurry Series))
Wi-Fi is one of the maximum vital technological developments of the present day age. It’s the wireless networking wellknown that enables us experience all of the conveniences of cutting-edge media and connectivity. But what is Wi-Fi, definitely? The time period Wi-Fi stands for wi-fi constancy. Similar to other wi-fi connections, like Bluetooth, Wi-Fi is a radio transmission generation. Wireless fidelity is built upon a fixed of requirements that permit high-pace and at ease communications among a huge sort of virtual gadgets, get admission to points, and hardware. It makes it viable for Wi-Fi succesful gadgets to get right of entry to the net without the want for real wires. Wi-Fi can function over brief and long distances, be locked down and secured, or be open and unfastened. It’s particularly flexible and is simple to use. That’s why it’s located in such a lot of famous devices. Wi-Fi is ubiquitous and exceedingly essential for the manner we function our contemporary linked world. How does Wi-Fi paintings? Bluetooth Mesh Philips Hue Wi-fi Although Wi-Fi is commonly used to get right of entry to the internet on portable gadgets like smartphones, tablets, or laptops, in actuality, Wi-Fi itself is used to hook up with a router or other get entry to point which in flip gives the net get entry to. Wi-Fi is a wireless connection to that tool, no longer the internet itself. It also affords get right of entry to to a neighborhood community of related gadgets, that's why you may print photos wirelessly or study a video feed from Wi-Fi linked cameras without a want to be bodily linked to them. Instead of the usage of stressed connections like Ethernet, Wi-Fi uses radio waves to transmit facts at precise frequencies, most typically at 2.4GHz and 5GHz, although there are numerous others used in more niche settings. Each frequency range has some of channels which wireless gadgets can function on, supporting to spread the burden in order that person devices don’t see their indicators crowded or interrupted by other visitors — although that does happen on busy networks.
Anonymous
miners are purely economically rational individuals—mercenaries of compute power—and their profit is largely driven by the value of the cryptoasset as well as by transaction fees. Therefore, the more the price goes up, and the more transactions are processed, the more likely new computers will be added to help support and secure the network.2 In turn, the greater hardware support there is for the network, the more people will trust in its security, thereby driving more people to buy and use the asset.
Chris Burniske (Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond)
Ethereum’s network with its underlying blockchain went live on July 30, 2015. While much development energy had gone into creating the Ethereum software, this was the first time that miners could get involved because there was finally a blockchain for them to support. Prior to this launch, Ethereum was quite literally suspended in the ether. Now, Ethereum’s decentralization platform was open for business, serving as the hardware and software base for decentralized applications (dApps). These dApps can be thought of as complex smart contracts, and could be created by developers independent of the core Ethereum team, providing leverage to the reach of the technology.
Chris Burniske (Cryptoassets: The Innovative Investor's Guide to Bitcoin and Beyond)
An example of the extent of the FSB and GRU covert cyber collection and exploitation was the exposure of what was most likely a Russian State Security & Navy Intelligence covert operation to monitor, exploit and hack targets within the central United States from Russian merchant ships equipped with advanced hacking hardware and tools. The US Coast guard boarded the merchant ship SS Chem Hydra and in it they found wireless intercept equipment associated with Russian hacking teams. Apparently the vessel had personnel on board who were tasked to collect intelligence on wireless networks and attempt hackings on regional computer networks in the heartland of America.59
Malcolm W. Nance (The Plot to Hack America: How Putin's Cyberspies and WikiLeaks Tried to Steal the 2016 Election)
AlphaPoint Completes Blockchain Trial Together with Scotiabank AlphaPoint, a fintech company, devoted to blockchain technological innovation, has accomplished a successful proof technology together with Scotiabank, a major international bank based in Barcelone, Canada. From the trial, Scotiabank sought to learn and examine how the AlphaPoint Distributed Journal Platform could be leveraged inside across a selection of use situations. When questioned if AlphaPoint and Scotiabank intended to further build this job, Igor Telyatnikov, president and also COO regarding AlphaPoint, advised Bitcoin Journal that he was not able to comment especially on the subsequent steps in the particular Scotiabank-AlphaPoint effort. He performed, however, suggest that AlphaPoint is about to reveal several additional media shortly. “We have a couple of other significant announcements that is to be announced inside the coming calendar month, including a generation launch using a systemically crucial financial institution, ” said Telyatnikov. “2017 will be shaping around be an unbelievable year for that distributed journal technology market as a whole and then for AlphaPoint also. ” Within the multi-month venture, trade studies were published upon deployment of the AlphaPoint Distributed Journal Platform, which usually ran concurrently on Microsoft’s Azure impair and AlphaPoint hardware. Inside real-time, typically the blockchain community converted FIXML messages to be able to smart deals and produced an immutable “single truth” across the complete network. The particular Financial Details eXchange (FIX) is a sector protocol used for communicating stock options information inside specific digital messages. Including information about getting rates, market info and buy and sell orders. Using trillions involving dollars bought and sold annually around the Nasdaq only, financial providers entities are usually investing seriously in maximizing electronic buying and selling to increase their particular speed monetary markets and decrease costs. Blockchain technology may help them help save $8-12 million per annum, which includes savings up to 70 percent throughout reporting, 50 % in post-trade and 50 % in consent, according to a report by Accenture and McLagan.
Melissa Welborn
So long as module improvement respects the protocols by which the module connects to other modules, module improvement can proceed independently of those other modules. An extreme case of this is when the protocols are between different levels of the modular hierarchy and when there is richness on both sides of the protocol. When the upper side of the protocol is rich, the knowledge base on the lower side of the protocol is often referred to as a 'platform' on which knowledge modules above it can be based. In science, Newton's laws were a platform on which both celestial and terrestrial mechanics could be based. In technology, the personal computer software operating system is a platform on which a rich set of software application can be based. Moreover, when the lower side of the protocol is also rich, the shape of the knowledge network becomes hourglass-like. In the case of technological knowledge, the waist of the hourglass is a distinguished layer or protocol, with technologies underneath implementing the protocol and technologies above building on the protocol - with both sides 'screened' from each other by the protocol itself. As a result, the number of applications explodes independent of implementation details; similarly, the number of implementations explodes independent of application details. The number of software applications built on the Windows operating system is enormous; the number of hardware and software implementations of the Windows operating system is also enormous. In other words, imagine two complex adaptive systems, one organized modularly and one not. At one moment, both might be able to exploit their environments equally and thus be equally 'adapted' to their environment. But they will evolve at vastly different rates, with the one organized modularly quickly outstripping the one not so organized. Modularity appears to be an evolved property in biology, one that is mimicked in the organization of human knowledge.
Venkatesh Narayanamurti (The Genesis of Technoscientific Revolutions: Rethinking the Nature and Nurture of Research)
Bundling eventually stopped working for Microsoft. After the antitrust investigation, the company maintained its dominance on the PC operating systems market, but it lost control of many other markets. Eventually the industry jumped from PC to mobile. Microsoft tried to exactly replicate the network effects it had before—an ecosystem of hardware manufacturers who paid a licensing fee to run Windows Mobile, and app developers and consumers to match—but this time it didn’t work. Instead, Google gave away its Android mobile OS for free, driving adoption for phone makers. The massive reach of Android attracted app developers, and a new network effect was built, derived from a business model where the OS was free but the ecosystem was monetized using search and advertising revenue. Microsoft has also lost the browser market to Google Chrome, and is being challenged in its Office Suite by a litany of startup competitors large and small. It continued to use bundling as a strategy, adding workplace chat via Teams to its suite—but it hasn’t achieved a clear victory against Slack. If bundling hasn’t been a sure thing for Microsoft, it’s an even weaker strategy for others. The outcome seems even less assured when examining how Google bundled Google+ into many corners of its product, including Maps and Gmail, achieving hundreds of millions of active users without real retention. Uber bundled Uber Eats across many touchpoints within its rideshare app, but still fell behind in food delivery versus DoorDash. Bundling hasn’t been a silver bullet, as much as the giants in the industry hope it is.
Andrew Chen (The Cold Start Problem: How to Start and Scale Network Effects)
The first is that we’re living in a time of astonishing progress with digital technologies—those that have computer hardware, software, and networks at their core. These technologies are not brand-new; businesses have been buying computers for more than half a century, and Time magazine declared the personal computer its “Machine of the Year” in 1982. But just as it took generations to improve the steam engine to the point that it could power the Industrial Revolution, it’s also taken time to refine our digital engines.
Erik Brynjolfsson (The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies)
DBAs work exactly in the middle of sofware and hardware, between developers and operators and between applications and infrastructure. This position provides DBAs with all sorts of challenges, from a badly written SQL statement from developers to storage bottlenecks, from network latency problem to metadata definition, and from coding database procedures to defining hardware requirements for a new database.
Leonardo Ciccone (Aws Certified Database Study Guide: Specialty (Dbs-C01) Exam)
But one man was way ahead of them all. That one had written a doctoral thesis at Utah in 1969 describing an idealized interactive computer called the FLEX machine. He had experimented with powerful displays and with computers networked in intricate configurations. On page after page of his dissertation he lamented the inability of the world’s existing hardware to realize his dream of an interactive personal computer. He set before science the challenge to build the machine he imagined, one with “enough power to outrace your senses of sight and hearing, enough capacity to store thousands of pages, poems, letters, recipes, records, drawings, animations, musical scores, and anything else you would like to remember and change.” To Taylor he was a soulmate and a profound thinker, capable of seeing a computing future far beyond anything even he could imagine. Among the computer scientists familiar with his ideas, half thought he was a crackpot and the other half a visionary. His name was Alan Kay.
Michael A. Hiltzik (Dealers of Lightning: Xerox PARC and the Dawn of the Computer Age)
The Internet Protocol (IP) functions at the Internet layer. Its responsibility is to provide a hardware-independent addressing scheme to the messages pass-through. Finally, it becomes the responsibility of the network access layer to transport the messages via the physical network.
Prabath Siriwardena (Advanced API Security: OAuth 2.0 and Beyond)
How crypto mining is impacting enviorment? Crypto mining is the backbone of Proof-of-Work cryptocurrencies since miners handle all the transactions and the inclusion of new crypto coins in the network. If a network does not have a diverse mining network, it is prone to both malicious attacks and network halts. Since Bitcoin is highly correlated with the whole market, Bitcoin mining is the backbone of all cryptocurrencies. Many companies and mining rigs worldwide handle Bitcoin mining, and even individuals like you and I can perform mining with proper equipment. Bitcoin mining is a lucrative responsibility with high returns, but the mining community is recently facing a severe backlash because mining is hazardous to the environment. Bitcoin mining - a brief introduction Bitcoin mining is actually a bunch of codes trying to solve complex mathematical problems with the help of a machine's computation power. The complexity of these problems has been algorithmically set in a way that it would take around ten minutes to solve each problem, and hence every transaction takes around ten minutes to complete. The problem's complexity is increased if the time taken is less than 10 minutes and vice versa. Since its inception, when Bitcoin mining was as easy as mining on a 16-bit laptop, the field is getting cut-throat day by day, with millions of miners using high-tech ASIC mining machines costing around INR 1.5 lakhs a piece. Since there are a lot of miners, the program, which is set to release every transaction at around 10 minutes, has to exponentially increase its complexity which means high power-consuming machines with exceedingly high carbon emissions. How bad is it, really? An estimate by Digicomist, a crypto analyst website, said that Bitcoin mining consumes around 130 Terrawatt-hours of energy based on the estimates measured on July 9, 2022. These figures point out that a Bitcoin transaction takes 1455 Kilowatts of electricity, the amount of energy an average American household consumes in 49.5 days. Data by Cambridge Bitcoin Electric Consumption Index (CBECI) estimates that Bitcoin takes 0.36% of global electricity consumption. This data means that if Bitcoin were a country, it would be the 36th biggest country in terms of electricity consumption, ahead of Finland and Belgium. The above comparison is in accordance with the latest country energy data by the US. The second largest cryptocurrency, Ethereum, consumes 62.77 Terrawatt-hours of electricity per year which is comparable to Switzerland's yearly electric consumption. If the above data might not sound alarming, due to the inconsistencies of mining rigs, a massive chunk of electricity consumed is concentrated in countries with low electricity costs like Kazakhstan. The local flora and fauna of the region are duly hurting due to crypto mining, which will consume more electricity with the advancement of mining hardware. Bitcoin mining in the US alone is creating an estimated 40 Billion pounds of carbon emissions. There are several incidents of Bitcoin mining damaging the environment; one of the examples is Greenidge generation, a former coal power plant that then switched to natural gas. When Greenidge started mining Bitcoin, it used to draw water from a nearby lake in Dresden, New York, which increased the lake's temperature by around 50°F, endangering the fauna of the lake and its nearby region. After China's recent crackdown on cryptocurrency and mining, many rigs moved to Kazakhstan, a cost-effective alternative but the implications on Kazakhstan were higher. Many reports have come out of the country regarding constant blackouts due to the high power consumption of crypto miners. Kazakhstan, a country that mainly relies on fossil for its energy, does not have enough electricity to cater to the needs of both miners and its civilians.
Coingabbar.com
So as there are physical changes in the nerve cells that make up your brain’s gray matter, and as neurons are selected and instructed to organize themselves into these vast networks capable of processing hundreds of millions of bits of information, the physical hardware of the brain also changes, adapting to the information it receives from the environment. In time, as the networks—converging and diverging propagations of electrical activity like a crazy lightning storm in thick clouds—are repeatedly turned on, the brain will keep using the same hardware systems (the physical neural networks) but will also create a software program (an automatic neural network). That’s how the programs are installed in the brain. The hardware creates the software, and the software system is embedded into the hardware—and every time the software is used, it reinforces the hardware.
Joe Dispenza (You Are the Placebo: Making Your Mind Matter)
At this point, deep networks were generally believed to be very difficult to train. We now know that algorithms that have existed since the 1980s work quite well, but this was not apparent circa 2006. The issue is perhaps simply that these algorithms were too computationally costly to allow much experimentation with the hardware available at the time.
Ian Goodfellow (Deep Learning (Adaptive Computation and Machine Learning series))
It’s pretty safe to say, in fact, that hardware, software, networks, and robots would not exist in anything like the volume, variety, and forms we know today without sustained government funding.
Erik Brynjolfsson (The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies)
Hardware had to be researched, purchased, secured, integrated, tracked, and disposed of. Software had to be licensed, configured, patched, updated, and eventually replaced. Networks had to be built, secured, upgraded, and inevitably rebuilt. And every component interacted with every other component in curious and unexpected ways, with unexpected occasionally culminating in catastrophic.   The
Andrew Schwab (Ultralight IT: A Guide for Smaller Organizations)
In 2016, Tesla announced that every new vehicle would be equipped with all the hardware it needs to drive autonomously, including a bevy of sensors and an onboard computer running a neural network.2 The kicker: the autonomous AI software won’t be fully deployed. As it turns out, Tesla will test drivers against software simulations running in the background on the car’s computer. Only when the background program consistently simulates moves more safely than the driver does will the autonomous software be ready for prime time. At that point, Tesla will release the program through remote software updates. What this all means is that Tesla drivers will, in aggregate, be teaching the fleet of cars how to drive.
Paul R. Daugherty (Human + Machine: Reimagining Work in the Age of AI)
change’ is any activity that is physical, logical, or virtual to applications, databases, operating systems, networks, or hardware that could impact services being delivered.
Gene Kim (The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win)
Victims included U.S. state and local entities, such as state boards of elections (SBOEs), secretaries of state, and county governments, as well as individuals who worked for those entities.186 The GRU also targeted private technology firms responsible for manufacturing and administering election-related software and hardware, such as voter registration software and electronic polling stations.187 The GRU continued to target these victims through the elections in November 2016. While the investigation identified evidence that the GRU targeted these individuals and entities, the Office did not investigate further. The Office did not, for instance, obtain or examine servers or other relevant items belonging to these victims. The Office understands that the FBI, the U.S. Department of Homeland Security, and the states have separately investigated that activity. By at least the summer of 2016, GRU officers sought access to state and local computer networks by exploiting known software vulnerabilities on websites of state and local governmental entities. GRU officers, for example, targeted state and local databases of registered voters using a technique known as "SQL injection," by which malicious code was sent to the state or local website in order to run commands (such as exfiltrating the database contents).188 In one instance in approximately June 2016, the GRU compromised the computer network of the Illinois State Board of Elections by exploiting a vulnerability in the SBOE's website. The GRU then gained access to a database containing information on millions of registered Illinois voters,189 and extracted data related to thousands of U.S. voters before the malicious activity was identified.190 GRU officers [REDACTED: Investigative Technique] scanned state and local websites for vulnerabilities. For example, over a two-day period in July 2016, GRU officers [REDACTED: Investigative Technique] for vulnerabilities on websites of more than two dozen states.
Robert S. Mueller III (The Mueller Report)
If you were in the railroad industry, would you be more interested in the business of laying the tracks or delivering the freight? One element is discrete and transactional (how many new rail lines do you really need?); the other represents ongoing value. A new management team at Cisco decided to go all-in on services, which by definition meant subscriptions. But how do you sell routers and switches on a subscription basis? By focusing on the data inside all that hardware—the freight, not the tracks. Cisco’s latest set of Catalyst hardware comes embedded with machine learning and an analytics software platform that helps companies solve huge inefficiencies by reducing network provisioning times, preventing security breaches, and minimizing operating expenses.
Tien Tzuo (Subscribed: Why the Subscription Model Will Be Your Company's Future - and What to Do About It)
But just imagine what would happen at the next Apple keynote if Tim Cook announced a simple monthly Apple subscription plan that covered everything: network provider charges, automatic hardware upgrades, and add-on options for extra devices, music and video content, specialty software, gaming, etc. Not just an upgrade program, but Apple as a Service.
Tien Tzuo (Subscribed: Why the Subscription Model Will Be Your Company's Future - and What to Do About It)
In Celebration, AT&T donated the hardware and installation components to create the Celebration Community Network, an intranet that provides town residents with email, chat rooms, a bulletin-board service, and access to the Internet, all free of charge.
Douglas Frantz (Celebration, U.S.A.: Living in Disney's Brave New Town)
IT Infrastructure IT infrastructure encompasses the hardware, software, networks, and services required to operate an organization's information technology environment, supporting its computing needs, data storage, networking, and other essential operations.
Education Transforming mental health and substance abuse systems of care : community integration and
We could now be at the mercy of”—he put on a voice-over voice—“‘intellects vast and cool and unsympathetic’ that could hijack every piece of hardware that has any connection with the global comm networks.
Ken MacLeod (The Star Fraction: The Fall Revolution Sequence)
We could now be at the mercy of”—he put on a voice-over voice—“‘intellects vast and cool and unsympathetic’ that could hijack every piece of hardware that has any connection with the global comm networks. In short, everything. Mankind: the complete works. On disk.” “Cheerful bastard, aren’t you?” “Yes, I am! Because the whole goddamn datasphere is meaningless without humans doing things with it.
Ken MacLeod (The Star Fraction: The Fall Revolution Sequence)
Xerox had the Alto; IBM launched the Personal Computer. Xerox had the graphical user interface with mouse, icons, and overlapping windows; Apple and Microsoft launched the Macintosh and Windows. Xerox invented What-You-See-Is-What-You-Get word processing; Microsoft brazenly turned it into Microsoft Word and conquered the office market. Xerox invented the Ethernet; today the battle for market share in the networking hardware industry is between Cisco Systems and 3Com. Even the laser printer is a tainted triumph. Thanks to the five years Xerox dithered in bringing it to market, IBM got there first, introducing its own model in 1975.
Michael A. Hiltzik (Dealers of Lightning: Xerox PARC and the Dawn of the Computer Age)