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UC Merced Computer Science and Engineering Faculty Celebrates CAREER Successes | Newsroom – University of California, Merced

May 29, 2024 | Author: admin

The Faculty Early Career Development (CAREER) program provides some of the National Science Foundation's most prestigious awards to higher education faculty. According to the NSF website, these awards are given "in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization."

UC Merced's computer science and engineering faculty has been remarkably successful in attaining these prestigious awards.

"CSE has currently 17 research faculty (not including teaching faculty). Out of them, we have gotten 11 CAREER Awards, said Alberto Cerpa, graduate chair for electrical engineering and computer science at UC Merced. This means that out of the 13 tenured or advanced assistant faculty, we have gotten 11 CAREER Awards.

To put that achievement into context, Cerpa said, Out of all the tenured or advanced assistant faculty, we have a success rate of 85%, and among all the faculty (including many junior faculty that are still applying for the award), our rate is 65%. This is the largest of all the US research universities, and I think it speaks very loudly about the research quality of our program.

In the past year alone, the department faculty has earned four awards:

"As dean of the School of Engineering, I am continually inspired by the outstanding achievements of our NSF CAREER Award-winning faculty," said Dean Rakesh Goel. "This year has been especially remarkable with four faculty from the Department of Computer Science and Engineering winning this prestigious award. Their dedication to advancing knowledge, mentoring students, providing outreach to underserved students, and pushing the boundaries of research exemplifies the highest standards of academic excellence."

Early-career faculty members are selected based on three factors: the strength of their research proposals; their potential to serve as academic role models in research and education; and their leadership in their fields and organizations. Each CAREER award proposal includes an educational outreach component.

"These scholars not only shape the future of their fields but also inspire others to strive for greatness," Goel said. "I am so proud of these colleagues and colleagues who received this award in the recent past. Jointly, we are building the future in the heart of California."

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STEM education and educators inspire success and growth US Black Engineer – BlackEngineer.com

May 29, 2024 | Author: admin

Randi Williams, a recognized advocate for women and minorities in tech, recentlygraduated from the Massachusetts Institute of Technology with a PhD in Computer Science, specializing in AI, Education, and Robotics.

In an email to her University of Maryland, Baltimore County (UMBC) family, she shared her excitement about career prospects at Georgia Tech and Carnegie Mellon. She also expressed her gratitude for the support she received and proudly acknowledged her roots at UMBC as a Meyerhoff Scholar (2012-2016).

Hrabowski, who served as president of UMBC from 1992 to 2022, was recognized for his outstanding contributions to education at the BEYA STEM Conference.

In 2024, over 10,000 participants, including K-12 students, college students, professionals from corporate, government, and military sectors, as well as business and industry employers, gathered at the BEYA Conference to engage in learning, celebrating excellence, and exploring career opportunities in science, technology, engineering, and math (STEM).

Williams is a member of the National Center for Women in Technology: Aspirations in Computing.

Previously, she served as a senator for the National Society of Black Engineers (NSBE), where she was involved in planning and decision-making at the regional level.

Williams has received several prestigious fellowships, including the Microsoft Research PhD Fellowship and the LEGO Papert Fellowship, which allowed her to work at the intersection of creativity, play, learning, and new technologies.

She has also earned a National Science Foundation Graduate Research Fellowship and was a GEM Fellow, preparing her for advanced careers in industry, academia, and government agencies. Additionally, she received the Ida Green Fellowship for outstanding women at MIT.

Williams is also a member of the Algorithmic Justice League, a non-profit organization that uses research, artwork, and policy advocacy to increase societal awareness regarding the use of artificial intelligence (AI) and the harms and biases that AI can pose to society.

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NSF invests $36M in computing projects that promise to maximize performance, reduce energy demands – National Science Foundation (.gov)

May 29, 2024 | Author: admin

The U.S. National Science Foundation is awarding $36 million to three projects selected for their potential to revolutionize computing and make significant impacts in reducing the carbon footprint of the lifecycle of computers. Funding for the projects comes from the NSF Expeditions in Computing (Expeditions) program, an ambitious initiative that supports transformative research poised to yield lasting impacts on society, the economy and technological advancement. Projects funded by Expeditions are characterized by their ambition and potential for transformation, leveraging advances in computing and cyberinfrastructure to accelerate discovery and innovation across various domains of science and engineering.

"We are thrilled to announce these visionary projects that will advance environmental responsibility and foster innovation in the field of computing," said Dilma DaSilva, acting assistant director for the NSF Directorate for Computer and Information Science and Engineering (CISE). "Congratulations to these pioneering teams whose research will forge new pathways in computational decarbonization and in revolutionizing operating system design with machine learning.

NSF Expeditions in Computing: Carbon Connect--An Ecosystem for Sustainable Computing. Led by Harvard University, this multi-institutional, five-year research initiative will lay the foundations for sustainable computing, with a focus on reducing the environmental impact of computer systems. This shift toward sustainability could spark a transformation in how computer systems are manufactured, allocated and consumed, leading to a more responsible and sustainable approach to advancing computing technologies. By redefining the way computer scientists consider environmental sustainability, Carbon Connect will establish new standards for carbon accounting in the computing industry, thereby influencing future energy policy and legislation.

Collaborators on this project include the University of Pennsylvania, the California Institute of Technology, Carnegie Mellon University, Cornell University, Yale University and The Ohio State University.

NSF Expeditions in Computing for Computational Decarbonization of Societal Infrastructures at Mesoscales. Led by the University of Massachusetts Amherst, this project will develop the new field of computational decarbonization, (CoDec), which focuses on optimizing and reducing the lifecycle of carbon emissions of complex computing and societal infrastructure systems. CoDec will tackle interdependencies across multiple aspects of infrastructure, including computing, transportation, buildings and the electric power grid. Through innovative sensing approaches, optimization methods grounded in theory and artificial intelligence, and software-defined interfaces, CoDec seeks to automate and coordinate carbon-efficiency optimizations across time, space and sectors. These efforts will enable scientific discoveries in decarbonization while supporting sustainable growth, advancing technology and strengthening national security.

Collaborators of this project include Carnegie Mellon University, the Massachusetts Institute of Technology, the University of Chicago, UCLA and the University of Wisconsin-Madison.

NSF Expeditions in Computing: Learning Directed Operating System--A Clean-Slate Paradigm for Operating Systems Design and Implementation. Led by The University of Texas at Austin, this project aims to revolutionize the design of operating systems (OSes) by integrating advanced machine learning (ML) into resource management. Current OSes employ rigid, manually designed approaches for allocating hardware resources among running applications. This inflexibility makes it hard to adapt to evolving application needs and hardware, leading to inefficiency and poor performance. This research will develop a learning-directed operating system with intrinsic intelligence and auto-adaptation, enabling ML-driven resource management that optimizes performance and efficiency and requires minimal human intervention. By fundamentally rethinking OS design with ML at its core, this research has the potential to significantly improve the energy efficiency of cloud computing, enable real-time edge computing applications and create innovative computing devices.

Established in 2008, the NSF Expeditions awards represent some of the largest investments provided by the CISE directorate. Pioneering work funded by the program includes the Robobee Project and CompSustNet.

Expeditions projects focus on creating transformative technologies, methodologies and infrastructure that can be adopted by the broader research community, industry or society at large. The program emphasizes the translation of research outcomes into practical applications, thus driving advancements in computer science and its real-world applications.

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Is AI Biased against Some Groups and Spreading Misinformation and Extreme Views? – Boston University

May 29, 2024 | Author: admin

Photo by Lidiia Moor/iStock

Artificial Intelligence

Millions of us have played with artificial intelligence tools like ChatGPT, testing their ability to write essays, create art, make films, and improve internet searches. Some have even explored if they can provide friendship and companionshipperhaps a dash of romance.

But can we, should we, trust AI? Is it safe, or is it perpetuating biases and spreading hate and misinformation?

Those are questions that Boston University computer scientist Mark Crovella will investigate with a new project backed by a first-of-its-kind National Science Foundation (NSF) and Department of Energy program. The National Artificial Intelligence Research Resource (NAIRR) Pilot aims to bring a new level of scrutiny to AIs peril and promise by giving 35 projects, including Crovellas, access to advanced supercomputing resources and data.

A BU College of Arts & Sciences professor of computer science and a Faculty of Computing & Data Sciences professor and chair of academic affairs, Crovella will use the high-powered assist to examine a type of AI known as large language models, or LLMs. His goal is to audit LLMsAI programs trained to study and summarize data, produce text and speech, and make predictionsfor socially undesirable behavior. LLMs help drive everything from ChatGPT to automated chatbots to your smart speaker assistant. Crovella will be joined on the project by Evimaria Terzi, a CAS professor of computer science.

According to the NSF, the research resource pilot grew out of President Joe Bidens October 2023 executive order calling for a federally coordinated approach to governing the development and use of AI safely and responsibly.

The Brink asked Crovella about the rapid expansion of AI, how its already part of our everyday lives, and how the NAIRR award will help his team figure out if its trustworthy and safe.

Crovella: Large language models are software tools like ChatGPT that are very rapidly becoming widely used. LLMs are quickly finding uses in educationboth students and teachers use LLMs to accelerate their work; in social settingsmany companies now are selling LLMs as online companions or assistants; and in scienceresearchers use LLMs to find and summarize important developments from the flood of research results published every day. Apple, Microsoft, and Meta have all announced integrations of LLMs into their product lines. In fact, ChatGPT had the fastest uptake of any new software, reaching 100 million users in just two monthsmuch faster than did TikTok or Facebook.

Crovella: Given that millions of people will soon be interacting with LLMs on a daily basis, we think its important to ask questions about what social values these models incorporate. Wed like to know whether such models incorporate biases against protected groups, tendencies to propagate extreme or hateful views, or conversational patterns that steer users toward unreliable information.

Given that millions of people will soon be interacting with LLMs on a daily basis, we think its important to ask questions about what social values these models incorporate.

The question is how to assess these tendencies in a system as complex as ChatGPT. In previous research, weve studied simpler systems from the outside. That is, we gave those systems inputs and observed whether their outputs were biased. However, when we look at LLMs, this strategy starts to break down. For example, weve found cases where an LLM will correctly refuse to answer a question on a sensitive topic when the question is posed in English, but simply by asking the same question in a different language (Portuguese), the model provides an answer that it shouldnt.

So, looking at an LLM just from the outside is not reliable. The genesis of this new project is to ask whether we can look inside an LLM, observe the representations of concepts that it is using, observe the logic that it is following, and, from that, detect whether the system is likely to incorporate undesirable social behaviors. In essence, we want to study an LLM the way a neuroscientist studies a brain in an fMRI machine.

I take Senator Markeys views as emphasizing the need for independent research on AI systems. These fantastically capable systems wouldnt exist without Big Techtheres just no way to marshal the resources needed elsewhere. At the same time, we need a lot of eyes on the problem of whether these new systems are serving us well. I want to point out that our work depends on the fact that some large tech companies have actually open-sourced their modelsgiven their code and data away for free. This has been a socially beneficial act on their part and it has been crucial for the kind of work we are doing.

An LLM is large in two ways: it contains a huge amount of knowledge, obtained from vast training data, and it has an enormously complex system for generating output that makes use of billions of parameters. As a result, the internal representations used in LLMs have been referred to as giant and inscrutable. Just processing the huge amount of information inside a modern LLM is an enormous computational task. Our NAIRR grant gives us access to supercomputing facilities at top national laboratories that will enable us to efficiently analyze the internals of modern LLMs.

There are currently over half a million different LLMs available for the public to use. No doubt in the near future, we will each have our own personalized LLM that will know a lot about us and will help us with many tasks on a minute-to-minute basis. How will we know that these giant and inscrutable systems are trustworthy and safe? Our research is intended to provide methods for answering those questions.

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CS professors Godfrey and Wang join project building an intelligent and self-adaptive operating system – Illinois Computer Science News

May 29, 2024 | Author: admin

Whenever we use a laptop or even a phone, underneath the hood, an operating system is running everything allowing a plethora of applications to dynamically share a system, and managing memory, compute, and network communication resources, said the University of Illinois Urbana-Champaign Computer Science professor Brighten Godfrey. Today, that happens mostly through manually-written heuristic policies, but this is becoming difficult with complex applications running in complex environments, like compute clouds and robots. Could an intelligent and self-adaptive operating system do better?

This is the crux of a ground-up effort to build a new way of operating systems for computers.

Godfrey and CS colleague Gang Wang are principal investigators in a five-year, $12 million research project funded by the National Science Foundation that aims to harness artificial intelligence to boost the performance and energy efficiency of computer operating systems.

NSF Expeditions in Computing: Learning Directed Operating System (LDOS) A Clean-Slate Paradigm for Operating Systems Design and Implementation will be led by a team from the University of Texas at Austin with lead PI Aditya Akella, Professor and Regents Chair of Computer Sciences at UT Austin. In addition to Godfrey and Wang, the team includes computer scientists from the Texas Advanced Computing Center, the University of Pennsylvania, and the University of Wisconsin-Madison, with industry partners from Amazon, Bosch, Broadcom, Cisco, Google, and Microsoft.

Wang recalled his involvement began whenAkella told him of a vision of building a brand new operating system that is completely machine learning based.

Wang, whose research topics include security, said, When you build a brand-new operating system, you're going to have security problems. You're going to haveprivacy problems to address, and that's where I feel that my research can come in and contribute. There are a lot of new problems related to the intersection of systems and AI that make me super interested.

Todays operating systems often have rigid rules for allocating hardware resources between different applications running simultaneously. This inflexibility prevents the integration of new advancements, leads to poor performance and inefficient use, and poses a significant barrier to computer hardware and application innovations.

Wang described the LDOS goal: We're going to tear down all the existing barriers and start to build something that learns from the data and adapts as the environment changes or as the need changes. That's a really exciting vision. It allows you to build new applications or capacities that are not easily achievable in the past model.

Godfreys research group at Illinois had previously investigated applying learning approaches to systems components such as congestion control, where the OS needs to make quick decisions about how fast to send data. Learning-based techniques helped there, because simple heuristics, which make simplistic assumptions about the network environment, can lead to poor performance. Similarly, an LDOS will try to figure out the right way to manage its resources. But we will have to solve some very challenging problems like how to coordinate many learning-based agents acting on different components of the system simultaneously, and how to ensure consistent, dependable performance.

TheNSF Expeditions in Computing program was established by the NSFs Directorate for Computer and Information Science and Engineering (CISE) to build on past successes and provide the CISE research and education community with the opportunity to pursue ambitious, fundamental research agendas that promise to dene the future of computing and information.

TheLDOS project will include instructional and outreach elements, creating undergraduate and graduate curricula consisting of modules, courses, and certificates. Initiatives to broaden participation will cultivate leadership skills among underrepresented groups in AI and prepare them for careers in AI and computer systems technology and research.

Godfrey will be involved in the effort and said, "One of the big goals is to draw more students into systems research, which we think is hugely important. Systems are underlying everything we do, and every time there's a new technological development like AI, we need new systems to help realize it. We want to make people aware of these interesting, challenging problems.

The project will include summer institutes for students, includingpre-college and undergraduates, that will help draw them into this world of systems plus machine learning research. And my regular courses here at Illinois will also certainly be influenced by the work in this project, he said.

Wang added that This is going to be a pipeline, so to speak, for a cohort of high school students to undergraduates to graduate students and evenpostgrads. They will attend summer schools, and they will participate in research. Curriculum development is an addition that integrates research with teaching and student training. I think we have a lot of students in AI, but we need more students in systems and AI who have this joint knowledge and expertise to do great things.

The NSF Expeditions program is highly selective. This year, three projects were funded with $36 million.LDOS is the second Expeditions project to feature Grainger College of Engineering faculty. In Fall 2022, NSF awarded a seven-year, $15 million project to a multi-disciplinary, multi-university team led by The Grainger College of Engineering. Mind in VitroComputing with Living Neurons will imagine computers and robots that are human-designed but living. Mind in Vitro was one of two projects funded that year.

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Finance: The future will be shaped by autonomous smart contracts! – Cointribune EN

May 29, 2024 | Author: admin

Tue 28 May 2024 4 min of reading by La Rdaction C.

Innovative and revolutionary, Massas autonomous smart contracts open a new chapter in the history of decentralized finance. Based on unprecedented technology, these self-executing smart contracts further decentralization, efficiency, and complexity of DApps. But how can they affect DeFi?

Growing rapidly over the past few years, decentralized finance unfortunately still presents some weaknesses that slow the adoption of DeFi platforms by pro traders and institutional clients. These weaknesses are of various kinds.

They include the dependence of DeFi protocols on certain external entities for transaction execution or liquidity management. The limited functionalities of DeFi platforms also represent another type of challenge that sometimes dissuades users from decentralized exchanges (DEX). And this is precisely what differentiates centralized exchanges from decentralized exchanges.

Centralized exchanges, as their name suggests, have full control over all order books and matching engines. They are therefore more able to offer a wide variety of order types. They give traders access to more advanced functions, allowing them to have better control over their positions and to better organize risk management.

However, if we understand the philosophy behind the creation of cryptocurrencies, centralization is not ideal. Moreover, on centralized platforms, security risks (hacking attempts, insider trading, etc.) are significant.

Unfortunately, decentralized exchanges, which are the cornerstone of DeFi, do not allow us to explore the full potential of decentralized finance. While they facilitate token exchanges, the majority of current decentralized exchanges only support basic market orders. They cannot execute complex operations without the intervention of a third party or an external trigger. The reason? They are not autonomous.

Pro traders therefore do not find the trading functions suited to their profiles. And this is why autonomous smart contracts, addressing the challenges of current smart contracts, emerge as the future of decentralized finance.

The advent of autonomous smart contracts ends the limitations that mitigate the trading experience on decentralized exchanges. More complex and able to execute without manual intervention or the intervention of an off-chain bot or centralized oracle, this new generation of smart contracts is revolutionizing DEX. Thanks to them, DEX can offer:

In short, Massas autonomous smart contracts thus improve the decentralization, functionality offering, autonomy, flexibility, and user-friendliness of DeFi platforms. This notable advancement will have the direct consequence of attracting a larger flow of users to these platforms and thereby increasing the overall liquidity and performance of the DeFi ecosystem.

The capacity of DEX, Auto Market Makers (AMM), and lending and borrowing platforms, fundamental components of decentralized finance, will therefore be significantly improved. It is therefore eagerly awaited that the Massa blockchain mainnet be unveiled soon and that Massas autonomous smart contracts be deployed on it. Quickly find Massa with their incentive program to earn many rewards.

Maximize your Cointribune experience with our 'Read to Earn' program! Earn points for each article you read and gain access to exclusive rewards. Sign up now and start accruing benefits.

L'quipe ditoriale de Cointribune unit ses voix pour sexprimer sur des thmatiques propres aux cryptomonnaies, l'investissement, au mtaverse et aux NFT, tout en sefforant de rpondre au mieux vos interrogations.

DISCLAIMER

The views, thoughts, and opinions expressed in this article belong solely to the author, and should not be taken as investment advice. Do your own research before taking any investment decisions.

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Cyclone Blockchain: The Future of Web 3.1 – KillerStartups

May 29, 2024 | Author: admin

In a world rapidly evolving with technological advancements, Cyclone Blockchain comes forth as a beacon of innovation. This international non-profit organization endeavors to redefine the realms of blockchain technology, setting a new precedent for what Web 3.1 should be. Cyclone Blockchain introduces a layer of unprecedented transparency and inclusivity, designed to bridge the gap between Web2 and Web3, embodying a true decentralized genesis ethos.

Cyclone Blockchain is not a mere extension or modification of existing blockchain technologies such as Bitcoin, Ethereum, or Cosmos. Instead, it stands as a unique, standalone solution, integrating transparency, innovation, and empowerment into the core of its design. The startup aims to make significant changes in user experience, economic models, and technical structures of blockchain technology, with the aspiration of revolutionizing the entire Web3 industry. Some groundbreaking features offered by Cyclone Blockchain include the worlds first Balanced Cryptocurrency, an AI & ML-powered blockchain economy, true decentralized randomness, a radical new user experience devoid of coin-based interactions, and a plethora of scalable development languages supported by advanced architectures.

Cyclone Blockchain has recently emerged from a period of stealth development, marking the unveiling of their radical new blockchain technology. The team is now opening up access to all information and testnets, demonstrating their commitment to transparency and community engagement. This milestone signifies the startups readiness to launch an innovative platform designed to reshape Web3.

The journey of Cyclone Blockchain is an inspiring narrative of perseverance and vision. Over two years of silent development were marked by skepticism and doubt from external parties. Despite the myriad obstacles and ridicule faced, the teams unwavering dedication transformed what many deemed impossible into a tangible, revolutionary reality. Cyclone Blockchain is not just about technological advancement but also signifies a philosophy of inclusivity and adaptability, making centralized, inflexible systems relics of the past and fostering a diverse garden of decentralized applications and opportunities.

Cyclone Blockchain draws inspiration from the foundational principles of Layer 1 blockchain solutions. The commitment to true decentralization, transparency that builds trust, and ensuring the anonymity that protects individual freedoms are the cornerstones upon which Cyclone Blockchain models itself. By integrating these virtues into a modern and flexible framework, the startup aims to address the evolving needs of the digital ecosystem both now and in the future.

The digital landscape undergoes rapid and constant transformations, and Cyclone Blockchain aims to remain at the vanguard of this evolution over the next four years and beyond. The startups mission emphasizes facilitating seamless access to decentralized genesis for all aspiring to embrace this new paradigm. By continuously innovating and adapting to technological advancements, Cyclone Blockchain envisions a future where they remain relevant, influential, and aligned with their guiding principles of inclusivity and empowerment in the decentralized web era.

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Navigating Belief, Skepticism, and the Afterlife | Alex O’Connor – The Daily Wire

May 29, 2024 | Author: admin

The Jordan B. Peterson PodcastMay 23, 2024

Dr. Jordan B. Peterson sits down in person with philosophical-oriented youtuber and podcaster Alex OConnor. They discuss the proper use of skepticism, the true meaning of belief and prayer, the mythological and historical nature of the bible, the level-of-analysis problem, the potential for the use of AI to examine epistemology, and Dr. Petersons understanding of Hell and the afterlife.

Alex O'Connor is a philosophy-oriented YouTuber, podcaster, and public speaker with over 750,000 subscribers on YouTube. He graduated in 2021 from St. John's College, Oxford University, with a BA in philosophy and theology. In 2023 he launched the Within Reason podcast, which has featured guests including Sam Harris, Richard Dawkins, Slavoj iek, Neil deGrasse Tyson, and Rory Stewart, amongst others. He has debated issues of religion, ethics, and politics with figures including Ben Shapiro, Michael Knowles, Douglas Murray, and Piers Morgan.

- Links -

2024 tour details can be found here https://jordanbpeterson.com/events

Peterson Academy https://petersonacademy.com/

For Alex OConnor:

On X https://twitter.com/CosmicSkeptic?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor

On Facebook https://www.facebook.com/CosmicSkeptic/

On Instagram https://www.instagram.com/cosmicskeptic

On Youtube https://www.youtube.com/@CosmicSkeptic

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The diabetes mellitus multimorbidity network in hospitalized patients over 50 years of age in China: data mining of … – BMC Public Health

May 29, 2024 | Author: admin

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Datamining Report: Potential Global GO Fest Catch Cards, Three Ultra Space Wonders Event Catch Challenges, and … – Pokmon GO Hub

May 29, 2024 | Author: admin

Attention, Pokmon Trainers! The latest data mining reports are in and weve got potential background catch cards for Global GO Fest 2024, more details about Pikachus Indonesia Journey: Yogyakarta, Three Ultra Space Wonders Event Catch Challenges, and more!

Disclaimer: You know the drill by now. Please read through all of this with a grain of salt we often post data mining reports that take months to release, and we dont want our readers disappointed. Be smart, read this like speculation, and be happy once it goes live.

All the information contained in this article has been provided publicly by the PokMiners, and this article includes some of my commentaries. Remember, while the data miners have provided this information, always take these updates with a grain of salt. Some of these features might take a while to go live or may never go live at all.

These look like background catch cards for Solgaleo and Lunala for Global GO Fest?

These could be variants of catch cards, or theyll be used for something else.

Texts for Solgeleos and Lunalas signature moves.

Some text updates for the new Iris AR.

The special research for Pikachus Indonesia Journey: Yogyakarta in August will have 5 stages.

Badges for the event

Looks like there will be collection challenges for both day 1 and day 2

Looks like there will also be snapshot encounters

The Ultra Space Wonders event will have 3 collection challenges: Catch, Raid, and Research

Yes, I know that says 4, but their research always starts with Step 1 technically being Step 0 in the code, and yes this is the only step they have pushed so far.

The announced Timed Special Research for the GBL International Championships will have 2 pages. Only the North American one has been announced, but there are texts for the European and Latin American ones as well. Some say 2025 in the code, and 2024 in the texts. Make of that what you will.

The Pokbox filter text was changed from fuse to fusion.

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Datamining Report: Potential Global GO Fest Catch Cards, Three Ultra Space Wonders Event Catch Challenges, and ... - Pokmon GO Hub

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