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How NFTs have evolved in 2023?

How NFTs have evolved in 2023?

NFTs: From Hype Trading Cards to Practical Use Cases Non-fungible tokens (NFTs) have come a long way from being mere hype trading cards. As the concept evolves, they have gone on to capture mass attention, turning into more solid use cases. These tokens are unique digital assets that can take any form and represent distinct ownership. They are fast gaining popularity in various sectors, from real estate to gaming, tourism, and even cultural heritage preservation. NFTs are now being used to represent educational degrees or professional certifications, enabling secure and verifiable proof of credentials. Real Estate Investors Turn to Fractionalized Market with NFTs In the real estate sector, investors are seeking to diversify their investment options, and since housing prices are so high, they have found that opting to buy just a chunk of real estate can be a logical solution. The appetite for fractionalized real estate market has grown, with investors hungry to diversify their investment options. NFT Gaming and the Transition from Web2 to Web3 NFT gaming is also growing popular, with NFT marketplaces having already seen over $700 million in daily volume. Companies like Sony, Polygon, and Yuga Labs are making significant bets on NFT gaming. The convergence of NFTs, gaming, and sports fandoms represent a critical inflection point for the transition from Web2 to Web3. By enabling digital ownership, the sector can realize the potential for game interoperability and monetization, taking utility and composability to the next level. Indonesia’s Ministry of Tourism and Cultural Heritage Preservation with NFTs Indonesia’s ministry of tourism is also using NFTs to maintain records of its heritage, and in the process, boosting virtual tourism. Web3 platform Quantum Temple is working closely with the Southeast Asian country to tokenize both tangible and intangible forms of its cultural heritage. Starbucks Launches NFT Collection, The Australian Open Goes Metaverse In the experiences sector, Starbucks recently launched its first collection of NFTs called “Journey Stamps.” The cafe chain sold 2,000 NFTs for $100 each in just 20 minutes of its release. The Australian Open was the first grand slam to enter the metaverse, minting the AO Art Ball NFTs linked to live data like match points on the blockchain. This project offered people around the world a unique chance to own a select piece of the AO experience, such as a specific moment during the tournament. Ticket Sales and Car Titles: NFTs in Other Sectors NFTs are also being used to tokenize ticket sales, with Ticketmaster opening access to event organizers to issue NFTs tied to tickets. The American ticket sales company allows partners to sell NFTs with tickets on the Flow blockchain. Metal band Avenged Sevenfold was the first to use Ticketmaster’s “token-gated sales” concept, meaning fans would have early access to concert tickets and other special events using NFTs. Finally, California’s Department of Motor Vehicles is piloting a program that uses NFTs to tokenize car titles, making them easier to transfer and exchange. As the mainstream infatuation and hype surrounding NFTs subsides, the professionals remain. It is clear that NFTs are being utilized by professionals across a plethora of fields with several noteworthy use cases. As they continue to gain momentum and popularity, it is clear that they have a wide range of practical applications in various sectors, making them an essential element of Web3.

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¿Cómo crear Tokens no fungibles (NFTs)? - Guía para principiantes

How to Create Non-Fungible Tokens (NFTs) – A Beginner’s Guide

What Are NFTs? Non-fungible tokens (NFTs) have recently become the talk of the town, with their unique identification codes and metadata setting them apart from other digital assets. But what are NFTs, and how do you create one? This guide will answer those questions. How to Create an NFT NFTs are cryptographic assets on a blockchain that cannot be exchanged for each other since they are unique. In contrast, cryptocurrencies are fungible, meaning that each unit has the same value and can be traded for another unit. NFTs often take the form of digital artwork, such as pictures, animated videos, or music, and are usually sold on NFT marketplaces that require cryptocurrency for payment. How to choose Digital Artwork The first step in creating an NFT is to determine what kind of digital art you want to create. It could be an image, an audio production, or even a short video clip. It’s essential to ensure that you own the rights to the media you are using to avoid legal issues. How to choose a Blockchain The next step is to choose a blockchain to store your NFT. Ethereum is the most popular blockchain for NFTs, and it hosts thousands of NFT collections. Solana is a growing competitor to Ethereum, offering faster transaction speeds and lower transaction fees. Flow is another blockchain designed for NFTs and decentralized gaming apps and is popular for sports-focused NFT creation. How to set up an NFT Wallet Once you’ve chosen a blockchain, you’ll need to set up an NFT wallet to store your NFT. MetaMask, Coinbase Wallet, and Ledger Nano X are popular wallet apps that support multiple blockchains. How to select an NFT Platform The next step is to select an NFT platform that offers a full-service marketplace to list and sell your NFT. OpenSea is the most popular platform, with over $20 billion in trading volume since its launch in 2017 and more than two million NFT collections listed. Solanart is a popular platform for Solana-based NFTs, with a slick user interface and an easy application process for minting. Crypto exchanges such as Binance also support NFT creation. How to create NFTs: Final step Once you have chosen a platform, creating an NFT is a straightforward process. For example, on OpenSea, you select your digital wallet and the “Create” option, upload your media file, add NFT features, properties, and blockchain, and then mint the NFT. In conclusion, creating an NFT requires following a few simple steps, such as choosing the digital artwork, blockchain, wallet, and platform. With this guide, you can create a unique NFT that can be sold just like a painting at an art gallery. En conclusión, la creación de un NFT requiere seguir unos pocos pasos simples, como elegir el arte digital, blockchain, billetera y plataforma. Con esta guía, puedes crear un NFT único que se puede vender como una pintura en una galería de arte.

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¿Qué es Web3? Entendiendo la próxima evolución de Internet

What is Web3? Understanding the Next Evolution of the Internet

The World Wide Web has come a long way since its inception. From Tim Berners-Lee’s creation of open, decentralized protocols that allowed information-sharing anywhere on Earth to today’s Web, which has been monopolized by large technology companies. But, with the introduction of Web3, a new era of the internet is beginning to take shape. What is Web3? Web3 is a new vision for a better internet that embraces decentralization and is built, operated, and owned by its users. It uses blockchains, cryptocurrencies, and NFTs to give power back to the users in the form of ownership. Unlike Web1, which was read-only, and Web2, which was read-write, Web3 is read-write-own, allowing users to own their digital assets in an unprecedented way. Why is Web3 important? Web3 has four core principles that guide its creation: decentralization, permissionlessness, native payments, and trustlessness. These principles allow for direct ownership of digital assets through non-fungible tokens (NFTs) and create a trustless environment that operates using incentives and economic mechanisms instead of relying on trusted third parties. Ownership Web3 gives users ownership of their digital assets in a way that was not possible before. In Web2, if a user purchased an in-game item, it was tied to their account. If the game creators deleted their account, they would lose these items. Web3 allows for direct ownership through NFTs, which no one, not even the game’s creators, can take away. And, if a user stops playing, they can sell or trade their in-game items on open markets and recoup their value. Censorship Resistance Web3 also allows for censorship resistance, which is not possible in Web2. The power dynamic between platforms and content creators in Web2 is imbalanced. For example, in August 2021, OnlyFans announced plans to ban sexually explicit content, which sparked outrage amongst creators on the platform. On Web3, a user’s data lives on the blockchain, and they can take their reputation with them if they decide to leave a platform. Conclusion Web3 is the next step in the evolution of the World Wide Web. It allows for direct ownership of digital assets and creates a trustless environment that operates using incentives and economic mechanisms. It also allows for censorship resistance, which is not possible in Web2. With Web3, the power is in the hands of individuals rather than corporations.

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Kraken se asocia con Williams Racing

Kraken Partners with Williams Racing

Kraken Becomes First Official Crypto and Web3 Partner for Williams Racing San Francisco-based cryptocurrency exchange Kraken has announced its first global partnership deal with Williams Racing, becoming the British Formula 1 (F1) team’s first official crypto and Web3 partner. As part of the deal, Kraken’s branding will feature on the rear wing of Williams cars, driver’s suits, and caps for the remainder of the F1 World Championship Season, starting with the Australian Grand Prix. What This Partnership Means for Crypto and F1 Fans Kraken will also collaborate with Williams to design limited-edition caps for select races and provide pop-up experiences and F1 Fan Zone initiatives throughout the season. Moreover, Kraken users with NFT artwork will have the chance to feature their artwork on the rear of Williams’ race cars during selected Grand Prix events. Leading third-party NFT projects like Bored Ape Yacht Club and World of Women will be featured, among others listed on Kraken’s marketplace. Other Crypto Brands with Active Deals with F1 Teams Although some cryptocurrency sponsorships have collapsed, Kraken joins other crypto brands with active deals with F1 teams. McLaren has partnered with Tezos and OKX, Alpine has a deal with Binance, Haas with OpenSea, and Red Bull Racing’s $150M deal with Bybit, signed in February 2022. Crypto.com also holds naming rights to F1’s Miami Grand Prix. In conclusion, the partnership between Kraken and Williams Racing offers fans cutting-edge crypto and Web3 experiences while providing Kraken the opportunity to reach new institutional clients and businesses through Williams Racing’s network and events. En conclusión, la asociación entre Kraken y Williams Racing ofrece a los aficionados experiencias de cripto y Web3 de vanguardia, al mismo tiempo que brinda a Kraken la oportunidad de llegar a nuevos clientes institucionales y empresas a través de la red y los eventos de Williams Racing.

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GPT-5, AGI

GPT-5 Could Achieve AGI by Year’s End, Potentially Revolutionizing AI | Blog Post

The Latest on AI: GPT-5 Could Achieve AGI by Year’s End The launch of GPT-4 has only just happened, but the buzz surrounding the next version of AI chatbot technology is already growing. The latest claim is that GPT-5 will complete its training this year, with the potential to revolutionize AI. What is AGI and What Could It Mean for AI? According to developer Siqi Chen, GPT-5 is set to complete training in December 2023, with OpenAI hoping to achieve AGI (artificial general intelligence). AGI would allow an AI to understand and learn any task or concept that humans can comprehend. This capability would enable AI to be indistinguishable from humans in terms of its abilities. Positive and Negative Consequences of Achieving AGI The prospect of AGI is significant, as it could lead to increased productivity across various AI-enabled processes, speeding up work and eliminating tedious tasks. However, the potential unintended consequences of granting an AI so much power raises concerns, as the negative effects of AGI are unknown. Timing of GPT-5’s Development OpenAI has predicted that GPT-4.5 will be introduced in September or October 2023 as an intermediate version between GPT-4 and GPT-5. If AGI goes awry, it could enable the spread of incredibly convincing bots on social media, disseminating harmful disinformation and propaganda that is challenging to detect. Elon Musk’s Concerns About AI Bots Elon Musk has been vocal about his concerns, and his tenure as Twitter CEO has focused on fighting AI bots. However, his latest idea of restricting the reach of accounts that have not paid for a Twitter Blue membership has been met with criticism. The Potential Impact of GPT-5 Achieving AGI The AI-enabled future has the potential to transform the way we live, and GPT-5 achieving AGI would be ground-shaking. Whether it will lead to positive or negative consequences is yet to be determined.

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Discover Spotify’s New Personalized AI DJ | ChatGPT

Personalization and Spotify Spotify has always been known for its personalized music experiences, from Discover Weekly to Wrapped campaigns. Now, the company is taking personalization to a whole new level with its latest feature, DJ. This personalized AI guide knows you and your music taste so well that it can choose what to play for you. Introducing the AI DJ The DJ feature is designed to deliver a curated lineup of music alongside commentary around the tracks and artists that Spotify thinks you’ll like. It sorts through the latest music and looks back at some of your old favorites, even resurfacing that song you haven’t listened to for years. It then reviews what you might enjoy and delivers a stream of songs picked just for you. And what’s more, it constantly refreshes the lineup based on your feedback. How AI DJ works To create the DJ, Spotify reimagined the way users listen on its platform. The DJ combines Spotify’s personalization technology, which gives you a lineup of music recommendations based on what you like, with generative AI through the use of OpenAI technology. This powerful combination allows the AI to scan the latest releases and provide insightful facts about the music, artists, or genres you’re listening to. The role of generative AI in creating the DJ Spotify’s editors, who are experts in genres and know music and culture inside and out, use this generative AI tooling to scale their innate knowledge in ways never before possible. And with a dynamic AI voice platform from Spotify’s Sonantic acquisition, the DJ brings to life stunningly realistic voices from text. Creating the DJ’s voice model with Xavier “X” Jernigan To create the voice model for the DJ, Spotify partnered with its Head of Cultural Partnerships, Xavier “X” Jernigan. His personality and voice resonated with Spotify’s listeners and resulted in a loyal following for the podcast. His voice is the first model for the DJ, and the company will continue to iterate and innovate, as it does with all its products. Learning and becoming better The DJ feature is currently rolling out in beta, and the more you listen and tell the DJ what you like (and don’t like!), the better its recommendations get. Think of it as the very best of Spotify’s personalization, but as an AI DJ in your pocket. If you’re not feeling the vibe, just tap the DJ button, and it will switch it up. The power of Spotify’s personalization technology In conclusion, Spotify’s new DJ feature is set to take personalized music experiences to a whole new level. By combining Spotify’s personalization technology with generative AI and a dynamic AI voice platform, the DJ can deliver a curated lineup of music alongside commentary around the tracks and artists that Spotify thinks you’ll like. As the more you listen and provide feedback, the better its recommendations get. The DJ is currently rolling out in beta, and users can expect to have their own personalized AI guide in their pockets very soon.

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Mejor software de minería en la nube

Top Cloud Mining Software: The Best Companies for Bitcoin and Cryptocurrency Mining

Cloud Mining At the top of our list, this sofware has become increasingly popular among cryptocurrency enthusiasts who want to mine cryptocurrencies independently without dealing with the hassles of hardware installation, maintenance, and electricity bills. If you are interested in cloud mining, we have compiled a list of the top cloud mining software currently available on the web, which are legitimate and reliable. IDMining Being one of the oldest cloud mining companies in the industry, IDMining was established in 2016. With five mining farms around the world and members in over 200 countries, IDMining offers affordable and reliable cloud mining services for Bitcoin and other cryptocurrencies. Genesis Mining Genesis Mining is one of the largest cloud mining companies, offering bitcoin and alternative cryptocurrency mining. The platform offers shrewd and simple investing options, and with the hash power you own, you can mine several coins at once. BeMine This mining software offers its services across Russia and the CIS and was one of the pioneers in the cloud sharing of ASIC miners. Users can buy and store mining equipment without having to be present for the purchase, transportation, installation, configuration, and maintenance of ASIC. ECOS ECOS is the first cryptocurrency investment platform with a specific ecosystem for all digital asset instruments and products. The company offers cloud mining services for Bitcoin, and it is one of the top cloud mining companies in the industry, serving more than 90,000 customers worldwide. Hashing24 As one of the most popular cloud mining platform for Bitcoin cryptocurrency, Hashing24 had to be on the list. The platform offers no set contracts, and customers can independently choose the hashing power and payment method. HashShiny This software is a cloud mining solution for Bitcoin that is simpler and more secure to use. The company HashShiny claims to have created the best cloud mining platform in the world, combined with cutting-edge deployment technologies. HappyMiner HappyMiner is a registered cloud mining company established in the US in 2018. The company holds industrial properties with a sizable tech park of specialized Bitcoin mining machines, similar to any recognized hash provider. Hashmart Offering contracts for mining Bitcoin and Ethereum from data centers in Siberia is just one of the things that lands a spot for Hashmart on the list. The platform makes use of technologies produced by business titans and provides straightforward and understandable information. Cudo Miner This software allows users to mine cryptocurrencies with total control over each device and a comprehensive overview of mining farms in one location to help users make wise decisions. With Cudo’s novel technology, mining farms can increase earnings and reduce manual involvement. Kryptex Kryptex is a company that mines cryptocurrencies and pays its users with bitcoins or actual money. To do complicated distributed bitcoin computations, Kryptex pools the processing power of thousands of computers. Cryptocurrency mining is no easy task but with Kryptex running in the background, you’ll be getting paid for your computer’s work.

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Exploring the Possibilities of AI and Human Collaboration in Music | A Blog Post

The Current Discourse on Artists vs. Machines Artificial Intelligence (AI) and human creativity may seem like a dichotomy, but in reality, these two can complement each other. Musicians, in particular, have shown an interest in exploring how AI and humans can collaborate rather than compete. Last November, at the Stockholm University of the Arts, an AI and a human made music together. The performance began with musician David Dolan playing the piano into a microphone while the computer system, designed and supervised by composer Oded Ben-Tal, “listened” to the piece and added its accompaniment, improvising like a person would. While the artists-vs-machines discourse about AI replacing journalists or stealing from illustrators continues, musicians are exploring ways to use these models to supplement human creativity. The Historical Speculation on AI and Music For Ben-Tal, creativity includes various aspects such as inspiration, innovation, craft, technique, and graft. He believes there is no reason why computers cannot help in that situation in a way that is helpful. This view is not new, as speculation that computers might compose music has been around as long as the computer itself. Ada Lovelace, a mathematician and writer, once theorized that Charles Babbage’s steam-powered Analytical Engine could be used for more than simply numbers. She believed that the “science of harmony and of musical composition” could be adapted to compose elaborate and scientific pieces of music of any degree of complexity or extent. Musicians’ Reactions to ChatGPT and Bing’s AI Chatbot Artists like Ash Koosha, Arca, and Holly Herndon have already used AI to enrich their music. Holly Herndon’s free-to-use AI-powered vocal clone, Holly+, presented a different side of the narrative around tech and music. She said, “There’s a narrative around a lot of this stuff, that it’s scary dystopian. I’m trying to present another side: This is an opportunity.” Copyright Considerations and Creative Capabilities of AI The use of AI in music raises questions about copyright and whether songwriters can defend themselves against plagiarism or if audiences should be told when AI is used. The Google MusicLM model, which turns text into music, has not been released due to the risks associated with music generation and the potential misappropriation of creative content. However, AI still presents attractive creative capabilities. Musicians can use AI to improvise with a pianist outside of their skill set or draw inspiration from an AI’s compositions in a genre they are not familiar with, like Irish folk music. An Alternative to the Human vs. Machine Narrative While generative AI can be unsettling because it exhibits a kind of creativity normally ascribed to humans, Ben-Tal sees it as another technology, another instrument, in a lineage that goes back to the bone flute. He believes that generative AI isn’t unlike turntables, which allowed artists to scratch records and sample their sounds, creating whole new genres. The Wilder (albeit Controversial) Fantasy of AI Realizing an Artist’s Vision In conclusion, the fear that AI will replace human creativity is unnecessary. AI and humans can collaborate, and their joint efforts could create new genres of music or produce a better version of a composer’s vision. The use of AI in music raises questions about copyright, but it presents attractive creative capabilities in the short and long term. As the artists-vs-machines discourse about AI continues, musicians are quietly exploring how these models might supplement human creativity.

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Discover the Differences Between Chat GPT-4 and Chat GPT-3

Improved Accuracy and Advanced Reasoning Capabilities On March 14th, 2023, the latest version of the AI software, Chat GPT-4, was launched. Compared to its predecessor, Chat GPT-3, Chat GPT-4 has undergone extensive training on various prompts, including malicious ones, to make it less susceptible to user manipulation. This new version offers more factual and accurate information and has better reasoning capabilities. Multimodal Image Recognition for Real-World Applications Chat GPT-4 is also capable of understanding images, making it multimodal, which means it can understand different modes of information, including words and images. Users can ask the AI to describe an image, making it useful for those with vision difficulties. Additionally, Chat GPT-4 can process up to 25,000 words at once, which is eight times more than Chat GPT-3, making it better equipped to take on larger documents. Increased Processing Power for Efficient Work Environments According to Open AI, Chat GPT-4 outperforms Chat GPT-3 by up to 16% on common machine learning benchmarks, making it more accessible to non-English speakers. Moreover, the latest version is less likely to respond to disallowed content and is 40% more likely to produce factual responses, making it safer to use for users overall. Enhanced Safety Features for User Protection In a comparison between Chat GPT and Chat GPT-4, both AIs were asked the same question, and although both could provide a solution, Chat GPT-4 offered a more accurate and less wordy response, implying it will offer more consistent and fact-based solutions than its predecessor. In conclusion, Chat GPT-4 offers several notable improvements over Chat GPT-3. Its better reasoning capabilities, understanding of images, and ability to process larger documents make it more efficient and versatile. The AI is less susceptible to user manipulation and less likely to respond to disallowed content, making it a safer and more well-rounded experience for users.

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Revolutionizing Mental Healthcare: How Web3 and Blockchain Technologies are Changing the Game

Revolutionizing Mental Healthcare: How Web3 and Blockchain Technologies are Changing the Game

The Power of Online Traditional Therapy Sessions in the Metaverse In today’s digital age, mental health support has become more accessible than ever before. One innovative approach that has been gaining traction is online traditional therapy sessions based in the metaverse, where people can access a community full of individuals who share similar issues and offer 24/7 support. Innerworld: A Mental Healthcare Platform Leveraging the Potential of VR Innerworld, a mental healthcare platform, leverages the power of virtual reality (VR) to provide effective peer-to-peer support via Cognitive Behavior Therapy and Dialectical Behavioral Tools. The platform underwent three years of clinical research before its launch, proving its potential to help individuals struggling with mental health issues. Web3 Tools for Secure, Encrypted Communication in Mental Health Support Moreover, Web3 tools such as blockchain, artificial intelligence, and robots are the building blocks of the next generation of healthcare. They can also be used to create secure, encrypted communication systems between individuals and mental health professionals, offering a safe space for people to discuss their thoughts and feelings without fear of judgment or stigma. The Potential of Blockchain Technology for Secure Medical Record Storage Blockchain technology can store medical records securely so that they cannot be tampered with or accessed without the patient’s permission, while AI-powered chatbots can help individuals seeking support by triaging symptoms before connecting them with appropriate care providers. AI-Powered Chatbots for Effective Symptom Triage and Care Provider Connection Decentralizing access to mental health support is crucial to ensure that everyone receives the care they need. Web3 and blockchain technologies have the potential to revolutionize the delivery of mental health services, making them more accessible and secure for all. The industry must continue to explore and develop these technologies to ensure that mental health support is available to everyone in a secure and private manner. As we continue to embrace digital innovation, we must prioritize mental health and leverage technology to provide accessible and effective support to those in need.

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inteligencia artificial, IA, servicios de salud mental

Implications of Using Artificial Intelligence in Mental Health Services and the Arts | AI and Human Experiences

Concerns about AI Chatbots in Mental Health Services Artificial intelligence (AI) is increasingly being used in various industries, including the arts and mental health services. However, some experts believe that there are implications to this use of technology. For instance, AI chatbots have been explored as a way of providing mental health services. While this would help to bridge the gap between the demand for treatment and the supply of clinicians, some people are concerned about the loss of human touch that this would entail. Additionally, AI may pose a threat to privacy, and it is unclear who would own the private information that patients reveal to therapy chatbots. Potential Benefits of AI Therapy in Psychotherapy Despite the potential drawbacks, AI therapy may improve psychotherapy, not just in terms of access, but also with regards to fidelity to treatment models, consistency, and the ability to collect big data about what works and what doesn’t in psychotherapy. Furthermore, a sophisticated AI model may be able to adjust itself to the needs of a client in a way that a human therapist cannot. However, some people are uneasy about the prospect of an AI algorithm replacing the human-to-human experience of therapy. In this relationship, experiences such as transference or cognitive distortions can be named, examined, and changed as they emerge. Additionally, modern neuroscience has discovered that humans co-regulate their autonomic nervous systems through proximity and communication via facial expressions. Uneasiness with the Prospects of AI Replacing Human-to-Human Therapy The use of AI in the arts is also gaining traction. For example, websites such as Midjourney are now able to create art from text prompts. While this raises questions about the future of human artists, AI is not yet able to replicate the nuances and subtleties that human artists bring to their work. AI in the Arts and Questions about the Future of Human Artists Overall, while AI has the potential to revolutionize mental health services and the arts, there are concerns about the impact of this technology on human experiences. Therefore, it is important that these concerns are addressed as AI continues to be developed and implemented.

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Google, IA, iniciativas de salud

Google Unveils Plans to Integrate AI into Health Initiatives | Latest News

Google’s Approach to Health Initiatives Google has unveiled plans to incorporate artificial intelligence (AI) into healthcare initiatives, including the use of language-generating technology in medical exams and AI-assisted research, helping consumers find information faster via internet searches, and providing tools for developers to build health apps globally. According to Google’s chief health officer, Karen DeSalvo, Google’s global reach and advanced AI technologies can help billions of people live healthier lives. Google’s More-Integrated Approach to Health Initiatives The tech giant’s approach now contrasts with industry peers like Apple and Amazon.com, which focus on wearable devices and medical-care services like pharmacies and primary care. Two Alphabet companies, Verily and Calico, have also moved slowly in recent years. Google has assimilated health AI efforts in several ways in search, its core product, to provide information on Medicaid re-enrollment, and to verify that thousands of healthcare providers in the US accept certain Medicaid plans in their state. Google’s Use of AI in Medical Research Moreover, Google has integrated AI models, including large language models, into medical research. Med-PaLM 2, the second iteration of an AI model that answers medical exam questions, obtained an 85% score when answering US medical licensing-style questions, while Google’s AI-assisted ultrasound analyses, tuberculosis screening, and cancer research have made significant strides. Google’s Open Health Stack for Developers Additionally, Google introduced Open Health Stack, a suite of open-source tools to help technologists build apps that can provide access to population health data, monitor community health, or help health workers make informed decisions in patient care. Google’s recent move to reassert its dominance in generative AI has led to the incorporation of generative AI into all its most important products, including health-related initiatives. In conclusion, Google’s incorporation of AI into healthcare initiatives, including language-generating technology and AI-assisted research, can help people worldwide live healthier lives. The company’s approach, in contrast to its industry peers, focuses on integrating AI into core products like search and YouTube. By assimilating health AI efforts into search, Google is making it easier for people to access Medicaid re-enrollment information and is providing best practices for video production on YouTube. Google’s Med-PaLM 2 and AI-assisted ultrasound analyses, tuberculosis screening, and cancer research have made significant strides, while Open Health Stack provides a suite of open-source tools to help developers build health apps globally.

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Amazon to Launch NFT Marketplace Next Month, Offering Digital Collectibles Tied to Real-World Assets

NFTs Tied to Real-World Assets Amazon is reportedly launching an NFT (non-fungible token) marketplace on April 24th, which is seen as a significant move in the crypto space. The platform will allow customers to purchase NFTs tied to real-world assets without the need for crypto wallets. The launch will feature 15 NFT collections, which will be available on Amazon’s website and can be seen by clicking the “Amazon Digital Marketplace” tab. The company will alert US Amazon Prime customers of the digital collectibles plan once it goes live. Amazon as a Trusted Intermediary This move is significant for two reasons, according to Christopher Alexander, chief communications officer for Liberty Blockchain. Firstly, Amazon is a well-known and trusted brand with over 200 million Prime members, which can serve as a trusted intermediary for customers experiencing Web3 for the first time. Secondly, Amazon’s entry into NFTs brings significant lobbying heft to a crypto industry fighting on multiple fronts. Momentum for Non-Crypto Firms to Experiment with NFTs The NFT market has taken a beating since the collapse of TerraUSD/Luna in May 2022 and the FTX debacle, but it seems to be rebounding. DappRadar noted in its February industry report that NFT trading volume spiked to $2 billion for the first time since last May, up 117% from the previous month, largely driven by Blur, the zero-fee marketplace launched last October. Room for Competition in the Nascent NFT Space Amazon’s NFT marketplace will likely differ markedly from what OpenSea has on offer, according to Anthony Georgiades, co-founder of Pastel Network. Amazon may try to incorporate NFT tech into their current business operations, perhaps tying them to the sale of physical goods. It’s still too early to tell what is planned, but it is exciting to see a Web2 giant dipping its toes into the crypto world. Amazon’s Distribution Network as an Advantage in NFT Marketplace Although it remains to be seen whether Amazon’s NFT marketplace will compete with OpenSea, they could co-exist, according to Mo Shaikh, co-founder and CEO of Aptos Labs. What may work in Amazon’s favor is the retail giant’s distribution network, which experts suggest could provide real utility for NFTs, something other marketplaces and infrastructure can’t handle. The launch of Amazon’s NFT marketplace is expected to help familiarize the company’s vast customer base with Web3 technology, which could drive further adoption of NFTs and crypto more broadly.

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Chemical Engineering Researchers Develop Self-Driven Lab for Synthesis of Advanced Functional Materials

A Proof-of-Concept for AlphaFlow’s Efficiency A team of chemical engineering researchers has developed a groundbreaking self-driven lab called AlphaFlow that can optimize the discovery of complex multistep reaction routes for the synthesis of advanced functional materials and molecules. AlphaFlow integrates artificial intelligence (AI) techniques, specifically reinforcement learning, with automated microfluidic devices to accelerate the material discovery process. AlphaFlow’s AI Model and Decision Making Process Traditional techniques for discovering new chemistries rely on varying one parameter at a time, but AlphaFlow can conduct more experiments than 100 human chemists in the same period while using less than 0.01% of the relevant chemicals. The AI model behind AlphaFlow makes decisions on what experiment to conduct next based on data it has developed from experiments it already ran and what it predicts the results of the next several experiments will be. AlphaFlow: Making Discoveries and Optimizations AlphaFlow has a range of applications from discovering new chemicals to optimizing the manufacturing process for known chemicals. For discovery, the system is trying to determine which precursors need to be added, as well as the best order in which to add them, in order to find a chemistry with the best performance. Whereas for optimization, the AI model already knows which precursors need to be added and in which order, and its focus is on determining what amount of each precursor is needed, as well as the amount of time needed for each reaction, to reach optimal performance most efficiently. AI and Chemistry: The Integration That Reduces Development Time AlphaFlow’s integration of AI and chemistry reduces the amount of time it takes to develop new chemistries by at least an order of magnitude. This system also offers new insights into fundamental chemistry by developing a new means of producing a semiconductor nanocrystal with fewer steps, broadening our understanding of the chemistry involved. AlphaFlow and Colloidal Atomic Layer Deposition At present, AlphaFlow is set up to conduct experiments related to colloidal atomic layer deposition, but it could be modified to conduct any range of experiments that involve performing chemical reactions in solution. The researchers are now seeking partners in both the research community and private sector to use AlphaFlow to address chemistry challenges. AlphaFlow: The Future of Chemistry Research? AlphaFlow is open source, and the researchers believe in sharing high-quality, reproducible, standardized, experimental data, both from failures and successes, to accelerate the discovery of new materials and chemical processes. AlphaFlow is the first self-driven lab that integrates reinforcement learning with AI, highlighting the extent to which AI and the physical sciences can benefit each other.

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chat gpt

Microsoft set to launch GPT-4 with AI-generated videos | ChatGPT

ChatGPT has been making waves in recent months and it looks like Microsoft is about to upgrade the AI tool with an update that could thrust it into the spotlight once again. Microsoft is set to launch GPT-4 as early as next week and it will potentially allow users to create AI-generated videos from simple text prompts. GPT-4 and Multimodal Models The news of GPT-4’s release was revealed by Andreas Braun, Chief Technology Officer at Microsoft Germany, at an AI-focused event titled “AI in Focus – Digital Kickoff”. Braun explained that GPT-4 will be a “multimodal” model, which would enable the AI to translate a user’s text into images, music, and video. ChatGPT and AI-Generated Videos Currently, ChatGPT can only reply in text form, but the imminent update will change all that. ChatGPT won’t be the first tool to output AI-created videos, as in 2022, Facebook owner Meta launched Make-A-Video which creates realistic videos based on short text prompts. It appears that the next version of ChatGPT might be able to do something similar. GPT-4 and Call Center Efficiency Microsoft provided an example of how GPT-4 could be used to automatically convert phone conversations between employees and customers into text. This would save huge amounts of time and effort that would previously be expended on summarizing those calls after they finish. Bing Web Browser Integration Microsoft didn’t touch on its integration of ChatGPT into its Bing web browser during the AI event. This could be due to the recent controversy surrounding it, but it remains to be seen what changes or fixes Microsoft may implement in the future. The Future of ChatGPT With GPT-4 set to launch as early as next week, we won’t have to wait long before we see what the next version of ChatGPT is capable of. It will be interesting to see if Microsoft has fixed any of the lingering problems with its AI assistant and if it can successfully incorporate AI-generated videos into ChatGPT’s capabilities. In conclusion, GPT-4’s upcoming release is highly anticipated and promises to bring about significant changes to the AI landscape. With the potential for multimodal models and AI-generated videos, it’s clear that Microsoft is looking to make ChatGPT even more useful and versatile for its users. The future of AI and ChatGPT is exciting and we look forward to seeing what other advancements will be made in the near future.

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colapso de Silicon Valley Bank

Understanding the Collapse of Silicon Valley Bank and Signature Bank: Lessons Learned

The collapse of Silicon Valley Bank (SVB) and the shutting down of Signature Bank has pushed financial instability concerns onto the front pages once again. The collapse of these banks highlights the risks of liquidity and duration mismatch prevalent in the banking sector. As the Federal Reserve (Fed), the Federal Deposit Insurance Corporation (FDIC), and the Treasury Department rush to douse multiple financial fires, it is necessary to take a step back and consider how we got here in the first place. During 2020-21, the Fed pursued ultra-accommodative monetary policies that held down yields (implying higher bond prices) on Treasuries and mortgage-backed securities. This policy contributed to a massive increase in speculative investments in tech stocks, crypto currencies, NFTs, and other risky assets. The resulting liquidity surge gave rise to an “everything bubble” in 2020-21. Since SVB specialized in servicing both Silicon Valley-based venture capital firms and many of the startups they funded, it experienced an especially strong surge in deposits. Its deposits tripled during the boom period. The Risks of Unrealized Losses Following the spike in client deposits (a liability on the bank balance sheet) in the aftermath of the March 2020 pandemic shock, SVB decided to invest in long-dated Treasury securities and mortgage-backed securities (assets on the bank balance sheet). As long as asset prices remain elevated, bank capital levels will appear strong on paper. However, if asset values fell substantially (while liabilities remained high), the resultant decline in bank capital will raise insolvency fears. Historically, sudden changes in the interest rate environment have wreaked havoc on balance sheets. The Impact of Interest Rate Hikes Having fallen behind the curve, the Fed embarked on a rapid rate-hike path to ease inflationary pressures. Between March 2022 and February 2023, the Fed hiked rates by 450 basis points. Central bankers also signaled to financial markets that interest rates would remain higher for longer. Consequently, yields on mortgage-backed securities and Treasuries surged (implying a sharp drop in their prices). Prophetically, FDIC Chairman Martin Gruenberg recently offered a warning regarding interest rate risks. The Trigger for SVB’s Collapse SVB’s collapse was triggered by the emergence of a bank run that highlighted the classic liquidity/duration mismatch prevalent in the banking sector. In this case, the decline in customer confidence was driven by SVB’s failure to adequately adjust to a rapidly changing interest rate environment. Facing mounting losses on the asset side of its balance sheet (which had a substantial exposure to long-dated government securities that were acquired near peak prices), SVB’s parent company sold some $21 billion worth of securities in early March at a loss of around $1.8 billion and announced plans to raise $2.25 billion worth of equity capital to shore up its balance sheet. Lessons Learned The collapse of Silicon Valley Bank and Signature Bank highlights the importance of managing liquidity and duration risk in the banking sector. Financial institutions must be aware of the risks associated with investing in long-dated securities and ensure that they have sufficient capital to withstand sudden changes in the interest rate environment. Additionally, banks must take steps to reassure customers and prevent bank runs in times of financial stress. In conclusion, the collapse of Silicon Valley Bank (SVB) has raised concerns about financial instability and highlighted the need for greater regulation and oversight of the banking sector. It is a reminder that financial stability is a fragile construct that requires constant attention and vigilance. The Federal Reserve, the Federal Deposit Insurance Corporation, and other regulatory agencies must remain alert to potential risks and take timely and effective action to mitigate them.

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AI Avatars Launch at Polygon as CharacterGPT Brings NPCs to Life

Alethea AI and Polygon Labs are contributing to the AI boom an AI-powered NFT project that will allow users to create NFT avatars through text-based prompts similar to OpenAi’s Dall-E Imager. Faster, more accessible NFT avatar creation The project plans to enable anyone to quickly create, train and exchange AI characters as NFTs in Polygon.” CharacterGPT, developed by Alethea AI, aims to be accessible through traditional text-to-image engines such as Dall-E 2 to go beyond Open AI to generate fully interactive and intelligent AI characters with a one-line natural language message. AI NFT character creation NFTs can be coined in mycharacter.ai through Alethea AI’s Polygon dApp. To launch the app, a digital version of Polygon co-founder Sandeep Nailwal became a 1/1 NFT “AI Collectible that is based on his writings, public statements, and interviews.” The gold mark next to the AI collectible represents confirmation that the NFT was created with his permission. To manage this process, Alethea uses the “AI Protocol: a proprietary and ownership layer for generative AI now available at Polygon.” Nailwal commented: “I have seen firsthand how Alethea AI has developed this technology over the past few years and through its CharacterGPT AI engine… We are excited to continue to support Alethea as it builds on Polygon and the power and potential of AI.” to life.” Ahmad Matyana, COO of Alethea AI, gave some examples of possible use cases for the new technology: “users can now create interactive, intelligent characters that could serve as AI companions, digital guides or NPCs in games.” Influencer-based hope The company also hopes that public figures will use the AI engine to create “digital twins” of themselves “to serve as digital companions for their fans.” Because the assets can be trained, digital assets can also be used in the metaverse, games, museums, sports stadiums, and other real-world locations to interact with users and act as virtual guides.

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La inteligencia artificial en los procesos del día a día

It is reasonable to think of the implications of artificial intelligence in Industry 4.0 coming in leaps and bounds, but we are not there yet. Artificial intelligence is already part of our everyday environment, whether we are aware of it or not. That’s why today we discuss all those uses of artificial intelligence that already exist: Types of AI use: We can distinguish two types of AI applications to improve people’s day-to-day lives. Software/Methodology: Voice assistants, image recognition to unlock faces on cell phones, and ML-based financial fraud detection are examples of AI software currently in use in everyday life. Native/Hardware: Drones, autonomous vehicles, assembly line robots, and the Internet of Things (IoT) are examples of AI applications in hardware. Examples of how AI improves our daily lives. AI and ML-based software and devices mimic human thought processes to help society thrive in the digital revolution. How does artificial intelligence improve social networks? People regularly check their social media accounts such as Facebook, Twitter, Instagram, and other platforms. Twitter  Has begun using artificial intelligence behind the scenes to improve its product, from suggesting tweets to combating offensive or racist material and improving user experience. Facebook Deep learning is helping Facebook extract value from a growing body of its unstructured data sets, drawn from nearly 2 billion users who update their status 293,000 times per minute. Instagram Instagram is also using big data and artificial intelligence to target ads, combat cyberbullying, and remove offensive comments. Chatbots Chatbots are artificial intelligence programs that can answer questions and provide relevant content to consumers with frequently asked questions. Artificial intelligence in day-to-day processes. Autonomous cars and aircraft Drones, or unmanned aerial vehicles (UAVs), are already in the air, performing surveillance tasks and providing delivery services in a variety of plans. The autonomous car market is still in its infancy, but there are enough prototypes and pilot projects to show that autonomous cars will become more common as artificial intelligence and Internet of Things (IoT) technologies improve. Digital assistant Virtual assistants such as Alexa, Siri, Cortana, and Google Assistant have made our lives easier. This software recognizes voice patterns and provides natural language processing capabilities. Food platforms When it’s time to eat, apps and online ordering sites often send you interesting notifications about breakfast, lunch, and dinner. Streaming music and multimedia content The next time you play recommended videos on YouTube, watch recommended shows on Netflix or watch other media, don’t forget that AI is also involved. Plagiarism If you’re a teacher grading essays, you’re probably facing the same problem. The knowledge and data available are almost limitless and are exploited by malicious students and employees. Banking Banks are now using artificial intelligence (AI) and machine learning software to read handwritten signatures and approve checks that are risk-free compared to what banks were previously presented with. E-commerce Automated warehouses and AI-powered supply chain management systems can help trading companies better manage their logistics. Travel and location Artificial intelligence algorithms can only check satellite images that are updated every second. These digital maps are created simultaneously from satellite images that incorporate information about bike lanes and parking spaces. Cab service For-hire cars like Uber and Lyft are very convenient because they can provide you with a car when you need one. Automated response When composing a new email, the program suggests possible responses. Some email systems also include features that notify users when it’s time to send a message. Video games AI and similar technologies can be found in various video games, including racing, shooting, and strategy games. Job seeker These applications use software that helps consumers discover the best prospects by suggesting jobs, roles, employees, and other relevant information. Security and surveillance While everyone may disagree about the ethics of using such systems, there is no doubt that they are being used, and AI plays a major role in that. Smart home But these AI applications are not limited to smart voice assistants like Alexa and Bixby. These AI apps save energy by automatically turning lights on and off based on human presence, smart speakers, apps that adjust the light color based on the time of day, and more. Google’s predictive search algorithm. No doubt, every time you try to search for something on Google, you will see some autocomplete search terms in the search bar. Google uses various technologies such as neural networks, deep learning, machine learning, and artificial intelligence in its search engine. Internet of Things The convergence of AI and the Internet of Things (IoT) offers endless opportunities to create smarter home technologies that require less human intervention to operate. Creating, communicating, aggregating, analyzing, and acting are the five main phases of IoT enablement. Recipes and cooking However, it is also useful for a variety of activities outside the typical scope of AI research. Rasa has developed an AI system that analyzes food and creates recipes based on what you have in your kitchen and pantry. Auto-correction Autocorrect doesn’t just correct typos. It also suggests to the user the next word in a sentence, an essential aid for those who type quickly. Medical use This device is used to identify and treat damaged tissue. Google’s AI Eye Doctor is working with the Indian eye care chain to develop a treatment for diabetic retinopathy, a disease that causes blindness. Conclusion Artificial intelligence is evolving due to continuous improvements in the data available to machine learning algorithms. This allows trained ML models to perform better on real user data, making AI work more effectively.

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Luxury fashion and beauty brand Yves Saint Laurent has filed NFT and metaverse trademark applications for its name and logo

Famed French luxury goods company Yves Saint Laurent Parfums SA is set to make its debut in the metaverse with an application for a trademark related to the use of non-fungible tokens (NFT) for virtual products.  The company will launch hair and body care products ready for beauty lovers to use in virtual worlds. Yves Saint Laurent Parfums also plans to open online retail stores offering cosmetics, perfumery, and other virtual beauty products. Yves Saint Laurent Beauté offered a collection of 10,000 NFTs minted on the Polygon blockchain for sale in June. Yves Saint Laurent is owned by French luxury conglomerate Kering, which also owns Gucci. The latter is an active web3 player that has developed several NFT collections and metaverse experiences. With this entry into the web3 space, it seems that Yves Saint Laurent plans to appeal to a younger audience. Or, like many other fashion and beauty brands, the company sees the metaverse becoming necessary for an overall marketing strategy. 2022 was a pivotal year for integrated projects between the fashion and beauty industries, and the burgeoning Web3 space. High-end brands such as Gucci, Lacoste, and Tiffany presented interface strategies between NFTs and blockchain technology aimed at giving token holders more economic power as cryptocurrency prices fell significantly.

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How artificial intelligence will change our world?

Among the 6 technologies that will change the world, according to Google, artificial intelligence is one of them and the company’s executives said they would like to see what they can do in five years.  In ten years artificial intelligence will become decisive and will change our world. Work processes are simplified. Artificial intelligence will simplify many processes. Thus, for the education sector, this technology can be very useful because it allows us to personalize personal learning without going unnoticed. This is possible because artificial intelligence can recognize patterns. The brain-machine interface At a conference organized by Recode, the South African physicist and entrepreneur said, “Artificial intelligence and machine learning will create computers so complex that humans are putting their brains in a ‘neural race’ to keep up.” Autonomous cars and services This new technology is responsible for analyzing raw data to predict outcomes and recognize patterns; it is already used in Internet search systems, security programs, financial operations, and marketing recommendation functions. Companies already using artificial intelligence Google has been working on deep neural networks and speech recognition software for about four years. The company has been working on it for at least four years and has more than 1,000 employees dedicated to Alexa. Also, one that has been buzzing lately is Microsoft, which is looking to get its hands on OpenID, just as it has been working on an AI that mimics the user’s voice. Soon we will be seeing more companies dabbling in having their artificial intelligence.

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