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With road accidents responsible for the deaths of millions each year, the may be capable of bringing new levels of safety for drivers, passengers, and pedestrians alike in the coming years. emergence of AI technology The numbers speak for themselves. Road safety is a major issue and leads to masses of injuries and the loss of life each year. With around on the world’s roads yearly and with a further 50 million experiencing serious injury, according to the World Health Organization, the arrival of AI solutions is timely. 1.35 million people killed But what is AI actually doing to help prevent millions of road deaths annually? And what can artificial intelligence do that responsible human drivers can’t? Let’s delve into the world of advanced AI algorithms to see how the technology is making roads safer for everyone: Autonomous Emergency Braking One of the most widely implemented AI safety features in modern vehicles comes in the form of an . This system is designed to spring into action without relying on the reaction times of human drivers, who may not be fast enough to engage the brake should a crash appear imminent. autonomous emergency braking system The artificial intelligence system works by using sensors to detect when a collision appears imminent. This helps to engage the brakes of a vehicle faster because the technology can make instant calculations concerning the likelihood of a collision and the stopping distance required to prevent an accident from occurring. According to the National Highway Traffic Safety Administration (NHTSA), autonomous emergency braking has been effective in lowering rear-end collisions by . as much as 40% 360-Degree Driver Views is not only great for identifying objects that could potentially lead to a collision, but it’s also excellent at understanding the difference between inanimate objects and people. Artificial intelligence This has meant that the technology is great at detecting high volumes of pedestrians in densely populated areas like cities and large towns. In understanding that there are high volumes of pedestrian traffic ahead at a crossing, the in avoiding accidents. AI can better assist drivers In addition to this, dashcams help drivers to gain a comprehensive view of all sides of a vehicle, and AI software can help to instantly detect objects around a car. With the help of artificial intelligence, modern dashcams and sensors can utilize Internet of Things (IoT) technology to learn about upcoming pedestrian traffic or walkways and provide drivers with the right 360-degree vehicle views autonomously to help them to navigate densely populated areas. Upholding Driver Safety AI can also cater to other areas of driver safety, such as utilizing a system where programs can detect early signs of driver fatigue or tiredness and warn the driver to take a break. Because fatigue can contribute to up to 20% of road accidents and up to 25% of fatal and serious accidents, this is an area where artificial intelligence can truly excel. Manufacturers like Volkswagen have introduced a dedicated Driver Alert System, which monitors driver behavior by looking out for unexpected steering wheel movement or deviations outside of driving lanes on motorways. This means that it can determine when a driver may be falling asleep and send a warning message to advise them to stop. In Volkswagen’s system, the AI will send a warning directly to the driver in the form of a visual display on their dashboard with a warning sound. If this warning isn’t heeded within 15 minutes, another will be displayed. Catering to the Comfort of Drivers Ensuring the comfort of drivers can also become the responsibility of AI systems which will ultimately lead to fewer instances of accidents on the roads. To action this, artificial intelligence software can look ahead to real-time weather and traffic conditions to help guide drivers to their destination without running the risk of getting caught up in storms, heavy traffic, and other situations that could impact the concentration or control that drivers have of their vehicles. Other data systems can also offer intelligent speed assistance and can deliver more fuel efficiency by recommending the and brake. best times to accelerate In more advanced vehicles, we can see AI systems save the preferred in-car settings of drivers to automatically adjust seats and mirrors to optimize the comfort of whoever may be behind the wheel. Other integrated IoT systems could help to set the temperature inside the vehicle in advance to ensure that the driver is well acclimatized to the conditions throughout a journey. This form of accessories, such as car keys, and could automatically contact dealers or manufacturers about matters like should the car detect that a fob is no longer synchronized with the car. anticipatory intelligence can also spread to car replacing your key It’s through these AI systems that we can see the future of car safety is about more than applying brakes before human drivers can react. Artificial intelligence can take a series of pre-emptive measures that ensures the comfort of a driver and their passengers before a journey even takes place. In anticipating potential problems long before they appear, AI can make the driving experience far more pleasant for all involved.

Why Artificial Intelligence is Set to Herald a New Era for Road Safety

The first 30 days of 2021 didn’t quite provide the placid contrast to 2020 which the world was hoping for, however from the agitation and affray one inescapable fact became strikingly apparent; that there is a fundamental problem with traditional financial systems. GameStop brought this to the forefront of the public consciousness, but the reality is that the issues which lead to that situation escalating to the extent it did had been brewing for a long time. In 2014 which highlighted that, within the growing financial intermediary sector of banks, brokerages, centralised exchanges etc., the risks of cybercrime, bribery, corruption and fraud were also growing. PwC published a report This is a logical correlation; the more people involved in a financial transaction, the greater the chance is that a bad actor will find his way into the system. Combine this with the perennial risks associated with large, over-centralised, unaccountable institutions, and it should’ve come as no surprise that brokerages and providers of retail liquidity turned their taps off to the public when the price of GME started to raise eyebrows in the (virtual) boardrooms of Wall Street and the City. And yet, despite this, the headlines did indeed come as a shock. It incited a great deal of indignation that financial institutions, which had long elicited suspicions of surreptitious malpractice, could so openly display their contempt for retail investors. And in doing so, they also inadvertently achieved something seemingly impossible; consensus across the US party political spectrum. Alexandria Ocasio-Cortez, Ted Cruz and Donald Trump Jr. all came out to condemn the actions of brokerages which closed their markets to retail traders, while hedge funds saw no disruption to their market access. No doubt the hypocritical aspect of this fiasco played a part in uniting their verdicts; counted among the rank and file of firms who impeded retail investors were those who claimed to be democratising financial markets. This situation brought the demand for a decentralised financial system to a zenith; a public blockchain would be capable of providing financial services and market access to everyone, regardless of their status, location, net worth etc. The number of startups and companies which have recognized the potential of open source networks to change, decentralise, and democratise economic activity is increasing exponentially, with innovative new ventures entering the space daily. As such, decentralised networks such as Bitcoin and Ethereum could go a long way in solving issues around high barriers to entry within the traditional financial system because of their permissionless nature, meaning that anyone in the world can connect to it. On a global level, this would alleviate problems of inequality posed by the current centralized financial system. Additionally, the records, provenance, and transaction history of bitcoin and other cryptocurrency networks are kept scattered across thousands of devices, with no central authority or repository controlling the flow of information or activity. Blockchain is also, contrary to the popular misconception, completely transparent, since all transaction records are publicly auditable and trackable on the payment ledger. In the wake of GME, retail market participants the world over are clamoring for features such as these, and are turning towards blockchain tech in a bid to extricate unaccountable intermediaries from their financial transactions. As decentralised tech becomes more prevalent, and is adopted by a greater number of users, its potential to reshape and redefine the financial and transactional systems will become more pronounced by the day. Previously published on: https://uk.investing.com/analysis/2021-and-the-inexorable-rise-of-decentralised-finance-200465585 https://www.cryptochainwire.com/totemfi-tge-roadmap-revealed/ Lead image via Mathieu Stern on Unsplash This article is part of the hosted by HackerNoon in partnership with . Decentralized Internet Writing Contest Free TON Join the contest for your chance to worth of TON crystals every month. win up to $1500

DeFi Heralds a New Dawn for Retail Investors

China’s Citizen Score Could Herald New Global Data Based Caste System

In an era where the digital and physical worlds are becoming increasingly intertwined, the next wave of wireless communication technology—6G—promises to blur these boundaries even further. But how on earth do we deal with eavesdroppers? One of the advancements on this frontier is the development of Secure Full Duplex Integrated Sensing and Communications (ISAC), a technology designed to not only enhance communication capabilities but also to provide robust security measures against eavesdropping threats. As we venture into the possibilities of 6G, the concept of ISAC emerges as a beacon of innovation. ISAC envisions a future where communication systems are not merely passive transmitters of data but active sensors of their environment. This integration promises to open a plethora of applications, from autonomous driving to advanced remote healthcare, by leveraging the dual functionality of sensing and communication. However, with great power comes great vulnerability. The open nature of wireless communication systems makes them susceptible to eavesdropping and data interception. How does it work? At its core, Secure Full Duplex ISAC operates on a full duplex protocol, meaning it can simultaneously transmit and receive signals on the same frequency. This is a significant leap from traditional half-duplex systems, which can only do one at a time. By integrating sensing capabilities into this duplex system, ISAC not only facilitates communication but also gathers critical environmental data, enhancing the overall efficiency and functionality of the network. https://twitter.com/drahmadbazzi/status/1628849453317648386?embedable=true The innovation doesn't stop there. To counteract potential eavesdroppers, Secure Full Duplex ISAC employs advanced beamforming techniques and artificial noise generation. These strategies are ingeniously designed to illuminate radar beams towards potential threats, thereby sensing their presence while obscuring the communication signals from unauthorized interception. This dual approach of communication and sensing, fortified with robust security measures, sets a new benchmark for wireless communication systems. https://www.linkedin.com/feed/update/urn:li:activity:7142776580786892803?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A(V2%2Curn%3Ali%3Aactivity%3A7142776580786892803)&embedable=true What does that mean ? The implications of Secure Full Duplex ISAC for the future of telecommunications are profound. Imagine autonomous vehicles that not only communicate with each other to prevent accidents but also sense their surroundings to navigate more efficiently. Picture smart cities where public infrastructure communicates seamlessly, sensing environmental changes and enhancing public safety in real-time. Moreover, the security benefits of Secure Full Duplex ISAC cannot be overstated. In an age where data breaches and cybersecurity threats loom large, the ability to secure wireless communications against eavesdroppers is invaluable. This technology promises a future where our communications are not only faster and more reliable but also significantly more secure. Cryptographic approaches do offer a certain level of security in the network, however, the rapid developments made in computing power devices show that even the most mathematically complex secret key-based techniques can be broken, especially when quantum computing becomes a reality [8]. Therefore, an extra level of security should rely on physical layer design, without the need for secret-key exchange, to maintain secure transmissions especially when both SAC information are revealed to malicious users. Navigating the evolution of wireless communication presents a blend of hurdles and prospects. At the heart of this evolution, Secure Full Duplex Integrated Sensing and Communications emerges as a pivotal force, signaling a shift towards a realm that's increasingly interconnected, insightful, and critically, more safeguarded. On the cusp of embracing 6G technology, it's imperative that future designs prioritize the secure integration of ISAC. This approach doesn't merely hold promise; it heralds a transformative potential that's beyond measure. In an era where the digital and physical worlds are becoming increasingly intertwined, the next wave of wireless communication technology— 6G —promises to blur these boundaries even further. But how on earth do we deal with eavesdroppers? One of the advancements on this frontier is the development of Secure Full Duplex Integrated Sensing and Communications (ISAC), a technology designed to not only enhance communication capabilities but also to provide robust security measures against eavesdropping threats. 6G But how on earth do we deal with eavesdroppers? As we venture into the possibilities of 6G, the concept of ISAC emerges as a beacon of innovation. ISAC envisions a future where communication systems are not merely passive transmitters of data but active sensors of their environment. This integration promises to open a plethora of applications, from autonomous driving to advanced remote healthcare, by leveraging the dual functionality of sensing and communication. However, with great power comes great vulnerability. The open nature of wireless communication systems makes them susceptible to eavesdropping and data interception. How does it work? How does it work? At its core, Secure Full Duplex ISAC operates on a full duplex protocol, meaning it can simultaneously transmit and receive signals on the same frequency. This is a significant leap from traditional half-duplex systems, which can only do one at a time. By integrating sensing capabilities into this duplex system, ISAC not only facilitates communication but also gathers critical environmental data, enhancing the overall efficiency and functionality of the network. https://twitter.com/drahmadbazzi/status/1628849453317648386?embedable=true https://twitter.com/drahmadbazzi/status/1628849453317648386?embedable=true The innovation doesn't stop there. To counteract potential eavesdroppers, Secure Full Duplex ISAC employs advanced beamforming techniques and artificial noise generation. These strategies are ingeniously designed to illuminate radar beams towards potential threats, thereby sensing their presence while obscuring the communication signals from unauthorized interception. This dual approach of communication and sensing, fortified with robust security measures, sets a new benchmark for wireless communication systems. https://www.linkedin.com/feed/update/urn:li:activity:7142776580786892803?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A(V2%2Curn%3Ali%3Aactivity%3A7142776580786892803)&embedable=true https://www.linkedin.com/feed/update/urn:li:activity:7142776580786892803?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A(V2%2Curn%3Ali%3Aactivity%3A7142776580786892803)&embedable=true What does that mean ? The implications of Secure Full Duplex ISAC for the future of telecommunications are profound. Imagine autonomous vehicles that not only communicate with each other to prevent accidents but also sense their surroundings to navigate more efficiently. Picture smart cities where public infrastructure communicates seamlessly, sensing environmental changes and enhancing public safety in real-time. Moreover, the security benefits of Secure Full Duplex ISAC cannot be overstated. In an age where data breaches and cybersecurity threats loom large, the ability to secure wireless communications against eavesdroppers is invaluable. This technology promises a future where our communications are not only faster and more reliable but also significantly more secure. Cryptographic approaches do offer a certain level of security in the network, however, the rapid developments made in computing power devices show that even the most mathematically complex secret key-based techniques can be broken, especially when quantum computing becomes a reality [8]. Therefore, an extra level of security should rely on physical layer design, without the need for secret-key exchange, to maintain secure transmissions especially when both SAC information are revealed to malicious users. Cryptographic approaches do offer a certain level of security in the network, however, the rapid developments made in computing power devices show that even the most mathematically complex secret key-based techniques can be broken, especially when quantum computing becomes a reality [8]. Therefore, an extra level of security should rely on physical layer design, without the need for secret-key exchange, to maintain secure transmissions especially when both SAC information are revealed to malicious users. Navigating the evolution of wireless communication presents a blend of hurdles and prospects. At the heart of this evolution, Secure Full Duplex Integrated Sensing and Communications emerges as a pivotal force, signaling a shift towards a realm that's increasingly interconnected, insightful, and critically, more safeguarded. On the cusp of embracing 6G technology, it's imperative that future designs prioritize the secure integration of ISAC. This approach doesn't merely hold promise; it heralds a transformative potential that's beyond measure.

Securing the Future: The Impact of Full Duplex ISAC in the 6G Era

Over the last several months I had the privilege of editing “False Alarm,” Todd Feathers’ nuanced, thought-provoking investigation into Wisconsin’s racially inequitable “dropout algorithm.” The Dropout Early Warning System (DEWS) assesses every incoming high schooler in Wisconsin and issues a numerical score as well as a color-coded label: green for low risk, yellow for moderate risk, or red for high risk of dropping out. Irrespective of race, DEWS is wrong nearly three quarters of the time when it predicts a student won’t graduate on time. But it was also designed to use factors like race, gender, income, and attendance, to cast a wide net—one that is ensnaring Black and Latino kids far more frequently. (You can read more of our takeaways and findings here.) I’ve been mulling over comments from the state’s education spokesperson, Abigail Swetz, who declined to answer detailed questions but emailed us this: “Is DEWS racist? No, the data analysis isn’t racist. It’s math that reflects our systems. The reality is that we live in a white supremacist society, and the education system is systemically racist. That is why the DPI needs tools like DEWS and is why we are committed to educational equity.” Here’s what she said in response to our findings and further questions: “You have a fundamental misunderstanding of how this system works. We stand by our previous response.” She did not explain what that fundamental misunderstanding was. In the week since we published Todd’s investigation, none of the facts of the story have been challenged. It’s difficult for me to square the underlying sentiment suggesting that because our world is racist, even the tools and systems attempting to achieve equity should be excused when they perpetuate that racism instead of correcting it. That leaves us trapped in a loop in which no one is directly accountable for harm. It’s like that meme with all the Spider-Mans pointing at each other. Young people of color featured in this investigation voiced that DEWS was just another way they felt dismissed, disregarded, and judged by the very educators tasked with caring for them and their futures. Kennise Perry, 21, attended Milwaukee Public Schools, which are 49 percent Black, before moving to the suburb of Waukesha, where the schools are only 6 percent Black. Perry told Todd her childhood was difficult, her home life sometimes unstable, and her schools likely considered her a “high risk” student. She summed up her school experience as “traumatic.” Here’s what else she shared: “But I feel that the difference between people who make it and people who don’t are the people you have around you, like I had people who cared about me and gave me a second chance and stuff. [DEWS] listing these kids high risk and their statistics, you’re not even giving them a chance, you’re already labeling them.” Labels stick around. I still remember every elementary school teacher who gave me a “U” for unsatisfactory in the self-control category on progress reports and how disappointed my mother always was. Or my fourth-grade teacher who told me my hair beads were too loud and asked me to get them removed. Or the hate mail Black students received on Valentine’s Day of my first year of high school. In response to racist incidents that they felt the school’s administration wasn’t properly addressing, Mia Townsend and Maurice Newton, the juniors in our lead image, took matters into their own hands and started Cudahy High School’s first Black Student Union. As Todd put it, the BSU students “organically provided the same kind of supportive interventions for each other that the state hoped to achieve through its predictive algorithms.” Newton persuaded Townsend, an honor roll student, to ask to enroll in AP English next year—she was initially planning to avoid these courses. There’s something both beautiful and tragic about kids stitching their own safety net, because they shouldn’t have to. School administrators should be the ones to make sure a student like Townsend believes she’s ready for AP. The community these students are building is a lifeline, but it’s a result of adults not fully considering their students’ experiences or well-being. The racial bias undergirding Townsend and Newton’s reason for founding the BSU, the inequity at the root of DEWS, the trauma Perry experienced throughout her schooling—none of that can or should be dismissed because our world is racist and anti-Black. If anything, it’s why we have to continuously challenge our biases, including the systems—from algorithms to academic settings—that perpetuate them. Sincerely, Ko Bragg Editor The Markup By Ko Bragg Also published here Photo by Andrés Canchón on Unsplash Over the last several months I had the privilege of editing “ False Alarm ,” Todd Feathers’ nuanced, thought-provoking investigation into Wisconsin’s racially inequitable “dropout algorithm.” False Alarm The Dropout Early Warning System (DEWS) assesses every incoming high schooler in Wisconsin and issues a numerical score as well as a color-coded label: green for low risk, yellow for moderate risk, or red for high risk of dropping out. Irrespective of race, DEWS is wrong nearly three quarters of the time when it predicts a student won’t graduate on time. But it was also designed to use factors like race, gender, income, and attendance, to cast a wide net—one that is ensnaring Black and Latino kids far more frequently. (You can read more of our takeaways and findings here. ) designed here. I’ve been mulling over comments from the state’s education spokesperson, Abigail Swetz, who declined to answer detailed questions but emailed us this: “Is DEWS racist? No, the data analysis isn’t racist. It’s math that reflects our systems. The reality is that we live in a white supremacist society, and the education system is systemically racist. That is why the DPI needs tools like DEWS and is why we are committed to educational equity.” Here’s what she said in response to our findings and further questions: “You have a fundamental misunderstanding of how this system works. We stand by our previous response.” She did not explain what that fundamental misunderstanding was. In the week since we published Todd’s investigation, none of the facts of the story have been challenged. It’s difficult for me to square the underlying sentiment suggesting that because our world is racist, even the tools and systems attempting to achieve equity should be excused when they perpetuate that racism instead of correcting it. That leaves us trapped in a loop in which no one is directly accountable for harm. It’s like that meme with all the Spider-Mans pointing at each other. Young people of color featured in this investigation voiced that DEWS was just another way they felt dismissed, disregarded, and judged by the very educators tasked with caring for them and their futures. Kennise Perry, 21, attended Milwaukee Public Schools, which are 49 percent Black, before moving to the suburb of Waukesha, where the schools are only 6 percent Black. Perry told Todd her childhood was difficult, her home life sometimes unstable, and her schools likely considered her a “high risk” student. She summed up her school experience as “traumatic.” Here’s what else she shared: “But I feel that the difference between people who make it and people who don’t are the people you have around you, like I had people who cared about me and gave me a second chance and stuff. [DEWS] listing these kids high risk and their statistics, you’re not even giving them a chance, you’re already labeling them.” Labels stick around. I still remember every elementary school teacher who gave me a “U” for unsatisfactory in the self-control category on progress reports and how disappointed my mother always was. Or my fourth-grade teacher who told me my hair beads were too loud and asked me to get them removed. Or the hate mail Black students received on Valentine’s Day of my first year of high school. hate mail In response to racist incidents that they felt the school’s administration wasn’t properly addressing, Mia Townsend and Maurice Newton, the juniors in our lead image, took matters into their own hands and started Cudahy High School’s first Black Student Union. As Todd put it, the BSU students “organically provided the same kind of supportive interventions for each other that the state hoped to achieve through its predictive algorithms.” Newton persuaded Townsend, an honor roll student, to ask to enroll in AP English next year—she was initially planning to avoid these courses. There’s something both beautiful and tragic about kids stitching their own safety net, because they shouldn’t have to. School administrators should be the ones to make sure a student like Townsend believes she’s ready for AP. The community these students are building is a lifeline, but it’s a result of adults not fully considering their students’ experiences or well-being. The racial bias undergirding Townsend and Newton’s reason for founding the BSU, the inequity at the root of DEWS, the trauma Perry experienced throughout her schooling—none of that can or should be dismissed because our world is racist and anti-Black. If anything, it’s why we have to continuously challenge our biases, including the systems—from algorithms to academic settings—that perpetuate them. Sincerely, Ko Bragg Editor The Markup By Ko Bragg By Ko Bragg Ko Bragg Also published here Also published here here Photo by Andrés Canchón on Unsplash Photo by Andrés Canchón on Unsplash Andrés Canchón Unsplash

How to Stitch Your Own Safety Net: Bonding Together

April 22nd, 2024 - StorX networks’ B2 testnet launch and network's transition to the mainnet alongside the End of Life (EOL) announcement for B1, paves the way for StorX Network to play a pivotal role in shaping the future of data storage solutions. Decentralized cloud computing has gained attention due to its enhanced security, scalability, and affordability. By leveraging blockchain and distributed storage protocols, decentralized cloud platforms aim to democratize access to computing resources while minimizing reliance on centralized entities. Decentralized Physical Infrastructure Networks (DePIN) facilitate peer-to-peer connections, enabling individuals to share and utilize hardware such as computers, energy grids, and storage through an open marketplace without centralized control. Public blockchain technology, such as the XDC Network, allows DePINs to manage devices openly and decentralized, improving security and innovation. Industry leaders like Ethereum co-founder Vitalik Buterin and XDC Network co-founder Ritesh Kakkad emphasize the utility of DePINs. As demand for AI and emerging technologies rises, reliance on centralized companies for computing and storage resources poses risks. DePINs, such as those in the XDC Network, provide decentralized solutions using community-operated master nodes to deliver computing power and connectivity. This approach reduces single points of failure and offers cost-effective, resilient infrastructure. StorX Network exemplifies the potential of decentralized storage by using the SRX token. This token plays a crucial role in the ecosystem for payments, rewarding users, and decision-making within the network. StorX Network's robust encryption and data-sharding techniques ensure absolute data privacy and security. Features like end-to-end encryption allow users to retain full control and ownership of their data, mitigating risks associated with centralized data storage. StorX Network has experienced remarkable growth since its inception, becoming a leading decentralized storage platform with over 117,000 users and more than 4,000 node operators. Its adaptability to emerging trends such as DePIN and the recent launch of its B2 testnet highlight StorX Network's commitment to innovation. The B2 testnet introduces features such as an intuitive dashboard interface, Vaults for personalized storage, a Passphrase Secret Key for enhanced data security, and global file-sharing capabilities. Founder Handy Barot expresses excitement for the B2 testnet launch as a precursor to the mainnet, which StorX believes will revolutionize decentralized storage. The network's transition to the mainnet, alongside the End of Life (EOL) announcement for B1, paves the way for StorX Network to play a pivotal role in shaping the future of data storage solutions. As StorX Network moves towards the mainnet, its innovative approach to decentralized cloud computing will continue to set new standards. The convergence of DePIN and StorX Network heralds a new era of decentralized infrastructure and services, empowering individuals and enterprises to harness the potential of cloud computing securely and affordably. Visit StorX for more information. About StorX: StorX is a decentralized cloud storage network that empowers users to store their data securely in the cloud. Each file uploaded on StorX is split and encrypted into multiple fragments to autonomous storage nodes operated by individual operators worldwide. Designed as a collection of independent storage networks, no particular operator has complete access to your data. StorX is faster than legacy centralized storage providers and also allows users to save substantial amounts on costs compared to a centralized cloud. StorX enables users with spare storage capacity to lease space and earn great returns in SRX tokens. $SRX is listed on multiple-tier exchanges like HitBTC, Liquid, LCX, Coinstore, Bitmart and Bitrue. To know more about StorX Network, Visit https://beta.storx.tech Don’t forget to follow us on our social channels: Twitter | LinkedIn | Facebook | Reddit | Telegram Contact: pr@storx.io April 22nd, 2024 - StorX networks’ B2 testnet launch and network's transition to the mainnet alongside the End of Life (EOL) announcement for B1, paves the way for StorX Network to play a pivotal role in shaping the future of data storage solutions. April 22nd, 2024 - StorX networks’ B2 testnet launch and network's transition to the mainnet alongside the End of Life (EOL) announcement for B1, paves the way for StorX Network to play a pivotal role in shaping the future of data storage solutions. Decentralized cloud computing has gained attention due to its enhanced security, scalability, and affordability. By leveraging blockchain and distributed storage protocols, decentralized cloud platforms aim to democratize access to computing resources while minimizing reliance on centralized entities. Decentralized Physical Infrastructure Networks (DePIN) facilitate peer-to-peer connections, enabling individuals to share and utilize hardware such as computers, energy grids, and storage through an open marketplace without centralized control. Public blockchain technology, such as the XDC Network, allows DePINs to manage devices openly and decentralized, improving security and innovation. Industry leaders like Ethereum co-founder Vitalik Buterin and XDC Network co-founder Ritesh Kakkad emphasize the utility of DePINs. As demand for AI and emerging technologies rises, reliance on centralized companies for computing and storage resources poses risks. DePINs, such as those in the XDC Network, provide decentralized solutions using community-operated master nodes to deliver computing power and connectivity. This approach reduces single points of failure and offers cost-effective, resilient infrastructure. StorX Network exemplifies the potential of decentralized storage by using the SRX token. This token plays a crucial role in the ecosystem for payments, rewarding users, and decision-making within the network. StorX Network's robust encryption and data-sharding techniques ensure absolute data privacy and security. Features like end-to-end encryption allow users to retain full control and ownership of their data, mitigating risks associated with centralized data storage. StorX Network has experienced remarkable growth since its inception, becoming a leading decentralized storage platform with over 117,000 users and more than 4,000 node operators. Its adaptability to emerging trends such as DePIN and the recent launch of its B2 testnet highlight StorX Network's commitment to innovation. The B2 testnet introduces features such as an intuitive dashboard interface, Vaults for personalized storage, a Passphrase Secret Key for enhanced data security, and global file-sharing capabilities. Founder Handy Barot expresses excitement for the B2 testnet launch as a precursor to the mainnet, which StorX believes will revolutionize decentralized storage. The network's transition to the mainnet, alongside the End of Life (EOL) announcement for B1, paves the way for StorX Network to play a pivotal role in shaping the future of data storage solutions. As StorX Network moves towards the mainnet, its innovative approach to decentralized cloud computing will continue to set new standards. The convergence of DePIN and StorX Network heralds a new era of decentralized infrastructure and services, empowering individuals and enterprises to harness the potential of cloud computing securely and affordably. Visit StorX for more information. StorX About StorX: StorX is a decentralized cloud storage network that empowers users to store their data securely in the cloud. Each file uploaded on StorX is split and encrypted into multiple fragments to autonomous storage nodes operated by individual operators worldwide. Designed as a collection of independent storage networks, no particular operator has complete access to your data. StorX is faster than legacy centralized storage providers and also allows users to save substantial amounts on costs compared to a centralized cloud. StorX enables users with spare storage capacity to lease space and earn great returns in SRX tokens. $SRX is listed on multiple-tier exchanges like HitBTC, Liquid, LCX, Coinstore, Bitmart and Bitrue. To know more about StorX Network, Visit https://beta.storx.tech https://beta.storx.tech Don’t forget to follow us on our social channels: Twitter | LinkedIn | Facebook | Reddit | Telegram Twitter LinkedIn Facebook Reddit Telegram Contact: pr@storx.io pr@storx.io

Unlocking DePIN Potential with StorX Network: Revolutionizing Decentralized Cloud

StorX নেটওয়ার্কের সাথে DePIN সম্ভাবনা আনলক করা: বিকেন্দ্রীভূত ক্লাউড বিপ্লবীকরণ

DePIN-Potenzial mit StorX Network freisetzen: Revolutionierung der dezentralen Cloud

Liberando el potencial de DePIN con StorX Network: revolucionando la nube descentralizada

Libérer le potentiel de DePIN avec StorX Network : révolutionner le cloud décentralisé

स्टोरएक्स नेटवर्क के साथ डीपिन क्षमता को अनलॉक करना: विकेंद्रीकृत क्लाउड में क्रांतिकारी बदलाव

StorX ネットワークで DePIN の可能性を解き放つ: 分散型クラウドの革命

StorX 네트워크를 통해 DePIN 잠재력 잠금 해제: 분산형 클라우드 혁신

Desbloqueando o potencial DePIN com a rede StorX: revolucionando a nuvem descentralizada

Раскрытие потенциала DePIN с помощью сети StorX: революция в децентрализованном облаке

StorX Ağı ile DePIN Potansiyelinin Kilidini Açmak: Merkezi Olmayan Bulutta Devrim Yaratmak

Khai phá tiềm năng DePIN với Mạng StorX: Cách mạng hóa đám mây phi tập trung

利用 StorX 网络释放 DePIN 潜力：彻底改变去中心化云

Organizations are rapidly embracing cloud-native architectures in the rapidly evolving landscape of modern software development, where Kubernetes has solidified its position as the standard orchestration tool for containerized applications. As applications become increasingly distributed and complex, the demand for a robust, scalable, and efficient deployment strategy has never been more pressing. It must be capable of seamlessly scaling and managing these intricate systems. GitOps emerges as a game-changing methodology poised to revolutionize the continuous deployment of cloud-native applications. Let us delve into why GitOps is heralded as a revolutionary approach. Before the rise of GitOps, the deployments over Kubernetes clusters and Cloud were based on traditional CI/CD pipelines. The traditional deployments were executed by writing deployment scripts manually. There were some issues with the traditional CI/CD, such as the inconsistency in configuration. The manual process added the drift between the actual state and the desired state of the application. These manual configurations were prone to errors, causing security vulnerabilities. Changes made to the infrastructure of cloud-native applications were hard to track. The rollbacks were challenging. There was a need for a deployment strategy that would eradicate all these challenges. GitOps is a way to implement continuous deployment pipelines for cloud-native applications. It follows the Git approach for deployments of cloud-native applications where the Git repository is a single source of truth. GitOps follows four principles: Declarative: In GitOps, declarative means the desired state of your infrastructure. The focus is more on what, not how; we need to declare the desired state of our infrastructure in the Git repository.


Versioned: As GitOps follows the way of Git, like maintaining the Git repositories for infrastructure. It’s easy to version this Git repository, and it provides the power to rollback and disaster recovery.


Pulled Automation: By using GitOps, forget pushing changes and hope for the best. GitOps works on a pull-based mechanism where every change made to the Git repository is updated to your Kubernetes cluster.


Continuous Reconciliation: GitOps maintains the state of your Git repository and Kubernetes cluster/cloud-native environment in sync by pulling every change made in the Git repository. With the adoption of GitOps, we can maintain our infrastructure as code better and have fewer configuration errors. It will be maintained in the Git repository, which can be reviewed by seniors, too, before getting merged into the main branch. With GitOps, we can include security scanning tools that help in scanning for security vulnerabilities. In GitOps, the Git repository is considered to be the single source of truth. This solves the issue of inconsistent maintenance of the state of the application. GitOps employs an operator in your Kubernetes cluster or cloud-native environment, which will consistently keep scanning for changes in the repository. As soon as the change is noticed, the pipeline will be triggered. New changes will be applied to your Kubernetes cluster automatically. That’s the continuous reconciliation, so there is no need for kubectl apply for every change. All changes that are made in deployments of the Kubernetes cluster stay in Git Repository. These can be easily tracked and versioned, empowering us to roll back to the previous state of deployments with ease. Also provides us the power for disaster recovery. NOTE: GitOps is not restricted to Kubernetes, but most of the GitOps tools are developed for the Kubernetes environment. Let’s understand with examples: Suppose you are a busy e-commerce company gearing up for an annual sale. You know that there will be a surge in traffic. For that, you want your application resources to dynamically auto-scale to handle the traffic without compromising the performance of the application. For that, you write some configuration files and apply them to the production environment. If these configuration files have any kind of error or misconfiguration, it will cause absolute chaos. At the same place you are using GitOps, GitOps includes a robust testing and approval process. Which will make it hard to let any error or misconfiguration get merged into the main branch. Even if it gets merged, you can easily roll back to previous versions of configurations. Now, Imagine yourselves playing and experimenting around your cluster. Making some configuration changes, ending up deleting some important resources, or having any misconfiguration. As mistakes are inevitable. GitOps will come to save your day as the operator continuously scans and maintains the state. As it will see changes that are not mentioned in the Git repository, it will quickly reconcile and bring the cluster to the same state as mentioned in the Git repository. In a situation where the developer finds a bug. After noticing the bug, changes are made to the Kubernetes cluster as a fix for the bug, and things are forgotten to update in version control. There will be no trace; neither the bug nor the fix will cause a loss of knowledge and traceability. With GitOps, this can be avoided. GitOps uses the Git repository as a single source of truth. To fix the bug, the developer will make changes in the Git repository, which keeps track of every change and deployment done on the Kubernetes cluster. Beyond this, GitOps offers fast deployments, as you just need to develop and push your code to the Git repository. Further execution of the deployment will be fully automated and handled by GitOps. With each deployment, GitOps follows the self-documenting method so that you can easily track all the changes that are applied to your cluster by just looking at the Git repository. In the continuously changing cloud-native landscape, GitOps stands as a transforming concept. Revolutionizing the traditional concept of continuous deployment and accurately detecting and solving pain points in traditional deployments. The four principles of GitOps bridge the gap between infrastructure and code. With the use of GitOps, you unlock the benefits of reduced errors, simplified disaster recovery, dynamic scaling, improved security, and self-documenting. GitOps is a whole paradigm shift, so let’s start our journey in the world of GitOps. In upcoming blogs, we will explore the tools for setting up GitOps and discuss which suits us best. Thank you for reading😊 Leaving some resources for you https://youtu.be/eqiqQN1CCmM?list=PLdpzxOOAlwvKu7OZpgj1-MzJFqZ8RBp6f https://youtu.be/GlG6Xr2HH1g https://youtu.be/MeU5_k9ssrs Also published here. Organizations are rapidly embracing cloud-native architectures in the rapidly evolving landscape of modern software development, where Kubernetes has solidified its position as the standard orchestration tool for containerized applications. As applications become increasingly distributed and complex, the demand for a robust, scalable, and efficient deployment strategy has never been more pressing. It must be capable of seamlessly scaling and managing these intricate systems. GitOps emerges as a game-changing methodology poised to revolutionize the continuous deployment of cloud-native applications. Let us delve into why GitOps is heralded as a revolutionary approach. Before the rise of GitOps, the deployments over Kubernetes clusters and Cloud were based on traditional CI/CD pipelines. The traditional deployments were executed by writing deployment scripts manually. There were some issues with the traditional CI/CD, such as the inconsistency in configuration. The manual process added the drift between the actual state and the desired state of the application. These manual configurations were prone to errors, causing security vulnerabilities. Changes made to the infrastructure of cloud-native applications were hard to track. The rollbacks were challenging. There was a need for a deployment strategy that would eradicate all these challenges. GitOps is a way to implement continuous deployment pipelines for cloud-native applications. It follows the Git approach for deployments of cloud-native applications where the Git repository is a single source of truth. GitOps follows four principles: Declarative: In GitOps, declarative means the desired state of your infrastructure. The focus is more on what, not how; we need to declare the desired state of our infrastructure in the Git repository. Versioned: As GitOps follows the way of Git, like maintaining the Git repositories for infrastructure. It’s easy to version this Git repository, and it provides the power to rollback and disaster recovery. Pulled Automation: By using GitOps, forget pushing changes and hope for the best. GitOps works on a pull-based mechanism where every change made to the Git repository is updated to your Kubernetes cluster. Continuous Reconciliation: GitOps maintains the state of your Git repository and Kubernetes cluster/cloud-native environment in sync by pulling every change made in the Git repository. Declarative: In GitOps, declarative means the desired state of your infrastructure. The focus is more on what, not how; we need to declare the desired state of our infrastructure in the Git repository. Declarative : In GitOps, declarative means the desired state of your infrastructure. The focus is more on what, not how; we need to declare the desired state of our infrastructure in the Git repository. Declarative Versioned: As GitOps follows the way of Git, like maintaining the Git repositories for infrastructure. It’s easy to version this Git repository, and it provides the power to rollback and disaster recovery. Versioned : As GitOps follows the way of Git, like maintaining the Git repositories for infrastructure. It’s easy to version this Git repository, and it provides the power to rollback and disaster recovery. Versioned Pulled Automation: By using GitOps, forget pushing changes and hope for the best. GitOps works on a pull-based mechanism where every change made to the Git repository is updated to your Kubernetes cluster. Pulled Automation : By using GitOps, forget pushing changes and hope for the best. GitOps works on a pull-based mechanism where every change made to the Git repository is updated to your Kubernetes cluster. Pulled Automation Continuous Reconciliation: GitOps maintains the state of your Git repository and Kubernetes cluster/cloud-native environment in sync by pulling every change made in the Git repository. Continuous Reconciliation : GitOps maintains the state of your Git repository and Kubernetes cluster/cloud-native environment in sync by pulling every change made in the Git repository. Continuous Reconciliation With the adoption of GitOps, we can maintain our infrastructure as code better and have fewer configuration errors. It will be maintained in the Git repository, which can be reviewed by seniors, too, before getting merged into the main branch. With GitOps, we can include security scanning tools that help in scanning for security vulnerabilities. In GitOps, the Git repository is considered to be the single source of truth. This solves the issue of inconsistent maintenance of the state of the application. GitOps employs an operator in your Kubernetes cluster or cloud-native environment, which will consistently keep scanning for changes in the repository. As soon as the change is noticed, the pipeline will be triggered. New changes will be applied to your Kubernetes cluster automatically. That’s the continuous reconciliation, so there is no need for kubectl apply for every change. kubectl apply All changes that are made in deployments of the Kubernetes cluster stay in Git Repository. These can be easily tracked and versioned, empowering us to roll back to the previous state of deployments with ease. Also provides us the power for disaster recovery. NOTE : GitOps is not restricted to Kubernetes, but most of the GitOps tools are developed for the Kubernetes environment. NOTE NOTE Let’s understand with examples: Suppose you are a busy e-commerce company gearing up for an annual sale. You know that there will be a surge in traffic. For that, you want your application resources to dynamically auto-scale to handle the traffic without compromising the performance of the application. For that, you write some configuration files and apply them to the production environment. If these configuration files have any kind of error or misconfiguration, it will cause absolute chaos. At the same place you are using GitOps, GitOps includes a robust testing and approval process. Which will make it hard to let any error or misconfiguration get merged into the main branch. Even if it gets merged, you can easily roll back to previous versions of configurations. Now, Imagine yourselves playing and experimenting around your cluster. Making some configuration changes, ending up deleting some important resources, or having any misconfiguration. As mistakes are inevitable. GitOps will come to save your day as the operator continuously scans and maintains the state. As it will see changes that are not mentioned in the Git repository, it will quickly reconcile and bring the cluster to the same state as mentioned in the Git repository. In a situation where the developer finds a bug. After noticing the bug, changes are made to the Kubernetes cluster as a fix for the bug, and things are forgotten to update in version control. There will be no trace; neither the bug nor the fix will cause a loss of knowledge and traceability. With GitOps, this can be avoided. GitOps uses the Git repository as a single source of truth. To fix the bug, the developer will make changes in the Git repository, which keeps track of every change and deployment done on the Kubernetes cluster. Beyond this, GitOps offers fast deployments, as you just need to develop and push your code to the Git repository. Further execution of the deployment will be fully automated and handled by GitOps. With each deployment, GitOps follows the self-documenting method so that you can easily track all the changes that are applied to your cluster by just looking at the Git repository. In the continuously changing cloud-native landscape, GitOps stands as a transforming concept. Revolutionizing the traditional concept of continuous deployment and accurately detecting and solving pain points in traditional deployments. The four principles of GitOps bridge the gap between infrastructure and code. With the use of GitOps, you unlock the benefits of reduced errors, simplified disaster recovery, dynamic scaling, improved security, and self-documenting. GitOps is a whole paradigm shift, so let’s start our journey in the world of GitOps. In upcoming blogs, we will explore the tools for setting up GitOps and discuss which suits us best. Thank you for reading😊 Leaving some resources for you https://youtu.be/eqiqQN1CCmM?list=PLdpzxOOAlwvKu7OZpgj1-MzJFqZ8RBp6f https://youtu.be/eqiqQN1CCmM?list=PLdpzxOOAlwvKu7OZpgj1-MzJFqZ8RBp6f https://youtu.be/GlG6Xr2HH1g https://youtu.be/GlG6Xr2HH1g https://youtu.be/MeU5_k9ssrs https://youtu.be/MeU5_k9ssrs Also published here. Also published here . here

GitOps For Beginners: Getting Started With Cloud-Native Architectures

Here's a tale of how a spontaneous spark of creativity led to an extraordinary surprise for my partner. Tired of the typical $50, 3-hour city dinner dates, I sought a unique way to encapsulate the charm of our daily life – those shared moments and amusing quirks of working from home. My mission: to craft an unforgettable surprise that resonated more deeply than any conventional outing. I embarked on a creative journey to produce a music video, uniquely tailored to the rhythm of our love story, using the wonders of AI tools – ChatGPT for lyrics, Suno.ai for music, and Capify.ai for the final video creation. If you want to cut to the chase and see the final video, scroll down to Step 4. Step 1: Battling ChatGPT’s Shakespearean Tendencies ($0-$20): The adventure began with lyric creation, where I roped in ChatGPT as my poetic accomplice. The task? To encapsulate the quirky, everyday nuances of our shared life. I meticulously crafted a meta-prompt, embedding details like the routine alarm interruptions, our work-from-home mishaps, and those intimate, funny moments only we understood. A meta-prompt is like a detailed instruction I give to ChatGPT, outlining exactly what I want in my final prompt, making it effective because it ensures ChatGPT understands and creates exactly what I envision. Crafting this meta-prompt was a novel experience. It was fascinating to observe how ChatGPT initially leaned towards a more classical, Shakespearean language, which added a whimsical touch but didn’t quite fit the contemporary pop song vibe we adored. After a few tweaks and reiterations, the lyrics started resonating with the modern-day lingo and emotion I was aiming for. Step 2: Suno.AI’s Magic ($0-$10): Once the lyrics were set, I turned to Suno.ai. The buzz around this tool is absolutely justified – it’s like watching a magician at work, but with music. With the lyrics uploaded, I requested a pop melody, a genre that resonates with our shared playlist of life. Suno.ai didn’t just deliver; it amazed. In a blink, it transformed the words into a catchy, foot-tapping pop tune that I couldn’t help but sing along to. The quality and style of the music were beyond my expectations, capturing the essence of our relationship in a rhythm. Step 3: Video Creation With Capify.AI ($20): The final frontier was the visual story. Realizing the current limitations of AI video generators, I chose a simpler yet impactful route – a lyric video. Capify.ai, a discovery made through a routine Google search, was my tool of choice. It was intriguing how it seamlessly synced the transcribed lyrics to the music, layering them against tastefully chosen backgrounds. The process of selecting the visuals and seeing the words of our life dance on the screen added an emotional depth that text alone could not convey. Step 4: Premiere and Reaction: The crescendo of this digital symphony was uploading the video to our YouTube channel, timing it perfectly for her post-nap awakening. The anticipation was electric, and her reaction? A blend of surprise, laughter, and tears – a testament to the power of personalized, heartfelt creativity. This wasn’t just a music video; it became a digital monument of our love, encapsulating precious moments in a format that will endure. The investment was minimal, but the emotional return was immense, proving that sometimes, the best things in life aren't the most expensive or extravagant. The final creation? Here it is: Work From Home Thoughts… So there you have it – a little adventure in AI and love. Why not give it a try? Using simple AI tools for digital surprises like these can be more memorable and heartwarming than the usual fancy dinner date. It’s about creating a lasting memory, something you can revisit and smile about. Sure, one day, the novelty of AI might fade as it becomes part of our everyday lives. But right now, in this fast-changing world, it's a wonderful way to surprise your partner. Imagine their delight in discovering a personal, AI-created treasure, rather than just hearing about these tools in a mundane office meeting. And hey, if you're up for another nerdy surprise idea, check out my other blog about using ChatGPT to write a fully formatted research paper dedicated to your partner. It's another quirky, sweet way to show your love. Remember, it's these unique moments that make for long-standing memories. So, go ahead, and surprise your partner with something extraordinary! Here's a tale of how a spontaneous spark of creativity led to an extraordinary surprise for my partner. Tired of the typical $50, 3-hour city dinner dates, I sought a unique way to encapsulate the charm of our daily life – those shared moments and amusing quirks of working from home. My mission: to craft an unforgettable surprise that resonated more deeply than any conventional outing. I embarked on a creative journey to produce a music video, uniquely tailored to the rhythm of our love story, using the wonders of AI tools – ChatGPT for lyrics, Suno.ai for music, and Capify.ai for the final video creation. If you want to cut to the chase and see the final video, scroll down to Step 4. Step 1: Battling ChatGPT’s Shakespearean Tendencies ($0-$20): The adventure began with lyric creation, where I roped in ChatGPT as my poetic accomplice. The task? To encapsulate the quirky, everyday nuances of our shared life. I meticulously crafted a meta-prompt, embedding details like the routine alarm interruptions, our work-from-home mishaps, and those intimate, funny moments only we understood. A meta-prompt is like a detailed instruction I give to ChatGPT, outlining exactly what I want in my final prompt, making it effective because it ensures ChatGPT understands and creates exactly what I envision. A meta-prompt is like a detailed instruction I give to ChatGPT, outlining exactly what I want in my final prompt, making it effective because it ensures ChatGPT understands and creates exactly what I envision. Crafting this meta-prompt was a novel experience. It was fascinating to observe how ChatGPT initially leaned towards a more classical, Shakespearean language, which added a whimsical touch but didn’t quite fit the contemporary pop song vibe we adored. After a few tweaks and reiterations, the lyrics started resonating with the modern-day lingo and emotion I was aiming for. Step 2: Suno.AI’s Magic ($0-$10): Once the lyrics were set, I turned to Suno.ai. The buzz around this tool is absolutely justified – it’s like watching a magician at work, but with music. With the lyrics uploaded, I requested a pop melody, a genre that resonates with our shared playlist of life. Suno.ai didn’t just deliver; it amazed. In a blink, it transformed the words into a catchy, foot-tapping pop tune that I couldn’t help but sing along to. The quality and style of the music were beyond my expectations, capturing the essence of our relationship in a rhythm. Step 3: Video Creation With Capify.AI ($20): The final frontier was the visual story. Realizing the current limitations of AI video generators, I chose a simpler yet impactful route – a lyric video. Capify.ai, a discovery made through a routine Google search, was my tool of choice. It was intriguing how it seamlessly synced the transcribed lyrics to the music, layering them against tastefully chosen backgrounds. The process of selecting the visuals and seeing the words of our life dance on the screen added an emotional depth that text alone could not convey. Step 4: Premiere and Reaction: The crescendo of this digital symphony was uploading the video to our YouTube channel, timing it perfectly for her post-nap awakening. The anticipation was electric, and her reaction? A blend of surprise, laughter, and tears – a testament to the power of personalized, heartfelt creativity. This wasn’t just a music video; it became a digital monument of our love, encapsulating precious moments in a format that will endure. The investment was minimal, but the emotional return was immense, proving that sometimes, the best things in life aren't the most expensive or extravagant. The final creation? Here it is: Work From Home Work From Home Thoughts… So there you have it – a little adventure in AI and love. Why not give it a try? Using simple AI tools for digital surprises like these can be more memorable and heartwarming than the usual fancy dinner date. It’s about creating a lasting memory, something you can revisit and smile about. Sure, one day, the novelty of AI might fade as it becomes part of our everyday lives. But right now, in this fast-changing world, it's a wonderful way to surprise your partner. Imagine their delight in discovering a personal, AI-created treasure, rather than just hearing about these tools in a mundane office meeting. And hey, if you're up for another nerdy surprise idea, check out my other blog about using ChatGPT to write a fully formatted research paper dedicated to your partner . It's another quirky, sweet way to show your love. using ChatGPT to write a fully formatted research paper dedicated to your partner Remember, it's these unique moments that make for long-standing memories. So, go ahead, and surprise your partner with something extraordinary!

HERA

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Since 2021

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HERA

hera.so

1-10 employees

Since 2021

COMPANY RANKING

HERA

EVERGREEN INDEX #5300

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