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Lecturer (Education Specialist) A/B – Computer Science job with … – Times Higher Education

Level A ($75,888 to $102,040) or Level B ($107,276 to $126,894) per annum plus an employer contribution of up to 17% superannuation may apply.

Flexible work arrangements can be negotiated with the right candidate.

The School of Computer and Mathematical Sciences is seeking an outstanding individual, passionate about teaching, to support the teaching of undergraduate and postgraduate programs in the rapidly growing Discipline of Computer Science. In this education-focused role, you will be responsible for the delivery of a range of courses at all levels of the Computer Science curriculum with an emphasis on cyber security, optimisation, data science and/or software engineering. You will join a large team of committed educators and researchers engaged in education, research and industry collaboration across a broad spectrum of computer science specialisations.

The position is available from 1st January 2024.

To be successful you will need:

Lecturer (Level B)

Lecturer (Level A)

Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our core values are integrity, respect, collegiality, excellence and discovery. Our culture is one that welcomes all and embraces diversity. We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.

The Faculty of Sciences, Engineering and Technology aims to increase the diversity of its staff. Applications from women are particularly encouraged. To support our staff and students in their academic lives, the faculty celebrates diversity and has a range of programs available including:

In addition, we offer salary packaging; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your faculty's broader role

The Faculty of Sciences, Engineering and Technology is a thriving centre of learning, teaching and research across a broad range of disciplines, including the mathematical sciences. Many of its academic staff are world leaders in their fields, and graduates are highly regarded by employers.

We proudly support gender and cultural diversity and are passionate about creating a more vibrant and enriching community of staff and students.

Learn more at: set.adelaide.edu.au

How to apply

Click on the link below to view the Selection Criteria and to apply for the opportunity.

careers.adelaide.edu.au/cw/en/job/512543/lecturer-education-specialist-ab-computer-science

Please ensure you submit a resume and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.

***Application closes at 11:55pm, Monday 18th September 2023***

For further information

For a confidential discussion regarding this position, contact:

Until 5 September 2023:

Professor Finnur LrussonInterim Head of the School of Computer and Mathematical SciencesP: +61 (8) 8313 3528E: finnur.larusson@adelaide.edu.au

From 6 September 2023:

Professor Abelardo PardoHead of the School of Computer and Mathematical SciencesE: abelardo.pardo@adelaide.edu.au

The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.

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Predictive Analytics : Know Everything About Predictive Analytics … – NASSCOM Community

In todays data-driven world, organizations are faced with an ever-increasing influx of information. This abundance of data holds the potential to transform the way businesses operate, but only if they can extract meaningful insights from it. This is where predictive analytics solutions come into play. By harnessing advanced algorithms and machine learning techniques, predictive analytics empowers businesses to not only understand historical trends but also foresee future events and make informed decisions. In this article, we will delve into the world ofpredictive analytics solutions, exploring their benefits, applications, and challenges.

Predictive analytics is a branch of data analysis that focuses on using historical data and statistical algorithms to predict future outcomes. It goes beyond descriptive analytics, which simply summarizes past events, and diagnostic analytics, which aims to identify the causes of past events. Instead, predictive analytics aims to forecast what might happen in the future based on patterns and trends discovered in historical data.

Predictive analytics solutions are advanced tools and techniques used to analyze historical data and identify patterns, trends, and relationships that can be used to make informed predictions about future events or outcomes. These solutions employ various statistical, machine learning, and data mining methods to extract valuable insights from large datasets. Here are some key components and benefits of predictive analytics solutions:

1. Data Collection and Preparation: Predictive analytics starts with gathering relevant data from various sources, such as databases, spreadsheets, or external APIs. The data is then cleaned, transformed, and organized to ensure accuracy and consistency.

2. Feature Selection and Engineering: Selecting the right features (variables) to include in the analysis is crucial. Additionally, engineers might create new features that better represent the underlying patterns in the data, enhancing the accuracy of predictions.

3. Algorithm Selection: Different algorithms, such as regression, decision trees, neural networks, and ensemble methods, can be applied based on the nature of the data and the prediction task. The choice of algorithm can significantly impact the accuracy of predictions.

4. Model Training: During this phase, the predictive model is trained using historical data. The model learns patterns and relationships within the data to make predictions.

5. Validation and Testing: Predictive models need to be validated and tested on new, unseen data to assess their performance and ensure they generalize well to different situations.

6. Prediction and Forecasting: Once the model is trained and validated, it can be used to predict future outcomes based on new input data. This could include predicting sales, customer behavior, stock prices, disease outbreaks, and more.

7. Continuous Monitoring and Updating: Predictive models are not static. They should be regularly monitored to ensure they remain accurate and relevant. As new data becomes available, the models can be retrained and updated to reflect changing patterns.

Benefits of Predictive Analytics Solutions:

1. Improved Decision-Making: Predictive analytics provides insights that empower organizations to make informed decisions, optimizing operations, resource allocation, and strategies.

2. Risk Management: By identifying potential risks and anomalies in advance, businesses can take proactive measures to mitigate them.

3. Enhanced Marketing and Sales: Predictive analytics helps companies understand customer behavior, enabling personalized marketing campaigns and improving sales forecasts.

4. Supply Chain Optimization: Predictive analytics can forecast demand and optimize inventory management, reducing costs and ensuring products are available when needed.

5. Healthcare and Medicine: Predictive analytics aids in disease outbreak predictions, patient outcomes, and treatment effectiveness, ultimately improving healthcare delivery.

6. Financial Forecasting: The finance industry uses predictive analytics for credit risk assessment, fraud detection, and investment strategies.

7. Industrial Maintenance: Predictive analytics can predict equipment failures, allowing timely maintenance and minimizing downtime.

In conclusion, predictive analytics solutions leverage historical data and advanced algorithms to make accurate predictions about future events and outcomes. These solutions have the potential to transform various industries by optimizing processes, minimizing risks, and driving innovation.

Predictive analytics servicesoffer businesses a powerful tool to gain insights into the future. By analyzing historical data, these solutions enable organizations to make informed decisions, improve processes, and deliver enhanced customer experiences. From healthcare to finance and beyond, the applications of predictive analytics are vast and continually expanding. However, to fully leverage the potential of these solutions, organizations must address challenges related to data quality, privacy, and complexity. As technology advances and data science evolves, predictive analytics will undoubtedly play an increasingly vital role in shaping the business landscape of tomorrow.

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NVIDIA AI Workbench Speeds Adoption of Custom Generative AI for … – NVIDIA Blog

New Developer Toolkit Introduces Simplified Model Tuning and Deployment on NVIDIA AI Platforms From PCs and Workstations to Enterprise Data Centers, Public Clouds and NVIDIA DGX Cloud

SIGGRAPHNVIDIA today announced NVIDIA AI Workbench, a unified, easy-to-use toolkit that allows developers to quickly create, test and customize pretrained generative AI models on a PC or workstation then scale them to virtually any data center, public cloud or NVIDIA DGX Cloud.

AI Workbench removes the complexity of getting started with an enterprise AI project. Accessed through a simplified interface running on a local system, it allows developers to customize models from popular repositories like Hugging Face, GitHub and NVIDIA NGC using custom data. The models can then be shared easily across multiple platforms.

Enterprises around the world are racing to find the right infrastructure and build generative AI models and applications, said Manuvir Das, vice president of enterprise computing at NVIDIA. NVIDIA AI Workbench provides a simplified path for cross-organizational teams to create the AI-based applications that are increasingly becoming essential in modern business.

A New Era for AI DevelopersWhile hundreds of thousands of pretrained models are now available, customizing them with the many open-source tools can require hunting through multiple online repositories for the right framework, tools and containers, and employing the right skills to customize a model for a specific use case.

With NVIDIA AI Workbench, developers can customize and run generative AI in just a few clicks. It allows them to pull together all necessary enterprise-grade models, frameworks, software development kits and libraries from open-source repositories and the NVIDIA AI platform into a unified developer toolkit.

Leading AI infrastructure providers including Dell Technologies, Hewlett Packard Enterprise, HP Inc., Lambda, Lenovo and Supermicro are embracing AI Workbench for its ability to augment their latest generation of multi-GPU-capable desktop workstations, high-end mobile workstations and virtual workstations.

Developers with a Windows or Linux-based NVIDIA RTX PC or workstation will also be able to initiate, test and fine-tune enterprise-grade generative AI projects on their local RTX systems, and easily access data center and cloud computing resources to scale as needed.

New NVIDIA AI Enterprise 4.0 Software Advances AI Deployment To further accelerate the adoption of generative AI, NVIDIA announced the latest version of its enterprise software platform, NVIDIA AI Enterprise 4.0. It gives businesses the tools needed to adopt generative AI, while also offering the security and API stability required for reliable production deployments.

Newly supported software and tools in NVIDIA AI Enterprise that help streamline generative AI deployment include:

NVIDIA AI Enterprise software which lets users build and run NVIDIA AI-enabled solutions across the cloud, data center and edge is certified to run on mainstream NVIDIA-Certified Systems, NVIDIA DGX systems, all major cloud platforms and newly announced NVIDIA RTX workstations.

Leading software companies ServiceNow and Snowflake, as well as infrastructure provider Dell Technologies, which offers Dell Generative AI Solutions, recently announced they are collaborating with NVIDIA to enable new generative AI solutions and services on their platforms. The integration of NVIDIA AI Enterprise 4.0 and NVIDIA NeMo provides a foundation for production-ready generative AI for customers.

NVIDIA AI Enterprise 4.0 will be integrated into partner marketplaces, includingAWS Marketplace,Google Cloud and Microsoft Azure, as well as through NVIDIA cloud partner Oracle Cloud Infrastructure.

Additionally, MLOps providers, including Azure Machine Learning, ClearML, Domino Data Lab, Run:AI, and Weights & Biases, are adding seamless integration with the NVIDIA AI platform to simplify production-grade generative AI model development.

Broad Partner SupportDell Technologies and NVIDIA are committed to helping enterprises build purpose-built AI models to access the immense opportunity of generative AI. With NVIDIA AI Workbench, developers can take advantage of the full Dell Generative AI Solutions portfolio to customize models on PCs, workstations and data center infrastructure. Meghana Patwardhan, vice president of commercial client products at Dell Technologies

Most enterprises do not have the expertise, budget and data center resources to manage the high complexity of AI software and systems. We look forward to NVIDIA AI Workbenchs potential to simplify generative AI project creation with one-click training and deployment on the HPE GreenLake edge-to-cloud platform. Evan Sparks, chief product officer for AI at HPE

As a workstation market leader offering the performance and efficiency needed for the most demanding data science and AI models, we have a long history collaborating with NVIDIA. HP is embracing the next generation of high-performance systems, coupled with NVIDIA RTX Ada Generation GPUs and NVIDIA AI Workbench, and bringing the power of generative AI to our enterprise customers and helping move AI workloads between the cloud and locally. Jim Nottingham, senior vice president of advanced computing solutions at HP Inc.

Lenovo and NVIDIA are helping customers overcome deployment complexities and more easily implement generative AI to deliver transformative services and products to the market. NVIDIA AI Workbench and the Lenovo AI-ready portfolio enable developers to leverage the power of their smart devices and scale across edge-to-cloud infrastructure. Rob Herman, vice president and general manager of Lenovo Workstation & Client AI

The longstanding VMware and NVIDIA partnership has helped unlock the power of AI for every business by delivering an end-to-end enterprise platform optimized for AI workloads. Together, we are making generative AI more accessible and easier to implement in the enterprise. With AI Workbench, NVIDIA is giving developers a set of powerful tools to help enterprises accelerate gen AI adoption. With the new NVIDIA AI Workbench, development teams can seamlessly move AI workloads from the desktop to production. Chris Wolf, vice president of VMware AI Labs

Watch NVIDIA founder and CEO Jensen Huangs SIGGRAPH keynote address on demand to learn more about NVIDIA AI Workbench and NVIDIA AI Enterprise 4.0.

AI Workbench is coming soon in early access. Sign up to get notified when it is available.

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Never again: is Britain finally ready to return to the office? – The Guardian

Working from home

With even the big internet firms warning staff they need to show up more often, is working from home over? Or have the attitudes and expectations of employees changed for ever?

Sat 12 Aug 2023 11.15 EDT

The Office is back. Not just the Ricky Gervais sitcom, which is getting an Australian makeover with a female lead (filming began last month). No: the office is back. Amazon has issued a warning to staff who are not spending at least three days a week in the office. Meta wants its workers to do the same from next month. And if further proof were needed that working from home has officially been replaced by return to office, it was provided by Zoom. The firm, whose revenues jumped 300% during the first year of the pandemic, last week asked employees to come in for at least two days a week.

If only it were so simple for the UKs David Brents. People still like working from home and forcing them to return can have unforeseen repercussions: for instance, research in the UK by the CIPD, the association of HR professionals, found that about 4 million people 12% of employees had changed careers due to a lack of flexible working, and 2 million (6%) had left their job in the last year.

Big tech firms are not the only ones insisting on more office time for white-collar workers than they would like. Osborne Clarke, the international law firm, has told its staff that they must be in the office three days a week if they want to get a performance bonus, although it later clarified that some staff might have valid reasons for not doing so. Luminaries of the Tory right, such as John Redwood and Jacob Rees-Mogg, have campaigned for civil servants to return to the office five days a week, the latter even leaving sorry you were out notes on desks.

Chief executives are very keen to get workers back more often, according to Mark Freebairn, a partner at Odgers Berndtson, an executive search firm.

The chief executive community, the board community that I speak to the majority would want more time in the office at the moment, and when one breaks cover and starts becoming more dictatorial about it, the rest will follow, he said.

The main reason, Freebairn said, was a genuine problem presented by the shift to remote working: the pipeline of talent is drying up.

I could probably teach someone bright the technical aspects of a recruitment job in an hour. But could they understand how to influence and persuade and navigate a situation to their advantage in a subtle and nuanced way? No. You have to watch someone to do that.

There was alarm among some recruiters about the impact of working from home, Freebairn added.

A large investment fund had been targeting graduates with two years experience working for firms such as McKinsey or Accenture and tempting them away by quadrupling their salary, he said.

They do this every two years. And every time they come back and say you cant believe how much better this crop is. But in 2022, it was the worst crop theyd ever seen. Not because of intellect, but because they just didnt know how to engage with people. Theyve never had the learning by osmosis that you get in an office experience.

So will the boardroom Canutes manage to turn the tide on their workforces, as Brent might put it? What are the facts about working from home?

First, most people cant do their job remotely almost 60% of US workers are fully on site, according to research by Professor Nick Bloom of Stanford University, because they have frontline jobs. The working from home debate only concerns the rest the 29% with hybrid working arrangements, mostly professionals and managers, and the 11% who are fully remote mostly specialists in IT or human resources roles. Home workers tend to be well-paid graduates.

The amount of home working they do appears to have stabilised in the last year. Research shows about 25% of work days in the US are done from home, according to Bloom and his colleagues. Full-time employees in the UK, Australia, Canada and other English-speaking countries work about 1.4 days a week at home on average a figure that has not changed much since 2021.

Those trends are also clear in job listings, according to Adzuna, the job search engine. The proportion of vacancies in the UK advertised as hybrid has gone above 11% this year 123,341 in June and the number of jobs listed as fully remote has hit 159,627, or 15.1%.

This is driven by employee demand, according to CIPD research. More than four-fifths of organisations in the UK have some sort of hybrid working policy, and 71% of workers view flexible working as important to them when considering a new role, said Claire McCartney, a senior policy adviser at CIPD.

She added: Its likely that organisations are going to struggle to attract and keep talent if they want people in the office full-time, five days a week. People do have different expectations around workplace flexibility.

Nowhere is this clearer than in the City of London. Friday mornings at Liverpool Street station used to be thronged with financial sector workers on the way to work, but are now noticeably quieter. The few people coming out of Bank station are mostly wearing casual clothing, and plenty are tourists rather than City workers.

Data from Transport for London shows that the number of passengers tapping out at Bank was about 35,000 on a typical Friday this year, about half the level of January 2020. At 15 central London tube stations, about 100,000 fewer people are arriving each day.

Abby, an employee at a construction firm, commutes two days a week from Brighton. I prefer working hybrid, she said. Its a privilege working from home overall Im saving more money that way. She and her colleague John are clear that five days a week is not an option. Never again, he said.

The lack of people means plenty of shops have shut and mobile coffee stands and sandwich sellers do not bother to turn up on Fridays.

In the short term, office demand in London is down by about 20%, said Lee Elliott, a commercial real estate expert at Knight Frank, although he said some of that related to the economic climate. Knight Frank research shows about half of multinationals plan to reduce their office space within the next three years.

But over the long term theres no doubt that all the UK office markets are going to be impacted by obsolescence, he added buildings that are dated or fall foul of energy efficiency rules that are coming into force in 2027. About 60% of London office space would either need to be upgraded or demolished, he said.

In the meantime, companies are choosing smaller, more attractive spaces. Cubicles are out and meeting spaces are in. And smaller spaces are usually cheaper.

People arent focused on cost-per-desk now, Elliott added. The metric theyre thinking about is footfall a bit like retail. Theyre aiming for about 60% to 70% of the building being used.

Meanwhile, the trend towards enticing workers back into offices that began with providing an office barista or a pool table has turned into a torrent of perks.

One of the most popular benefits among employers is free meals, said James Neave, head of data science at Adzuna. More than 5,000 job adverts in July mentioned free food a 48% rise offered by big names such as Sainsburys, Wagamama and Dominos Pizza. Others are offering free gym memberships, tax-free childcare, mental health days, an extra day off for your birthday, language lessons, duvet days and even pawternity leave (time off to look after your pet).

But employers should be thinking about more than just remote or office working, according to Maria Kordowicz, an associate professor in organisational behaviour at the University of Nottingham and director of its centre for inter-professional education and learning.

How meaningful is the work that our organisation produces? she said. How is it contributing to societal betterment? In a post-Covid landscape, weve increasingly been asking the question about how we can look after one another, how we can look after the environment, how can we ensure that the businesses that we run are sustainable. And that, to me, is what attracts talent which is a vague phrase, and what we should be talking about is diverse teams that carry a range of abilities.

Perhaps the emphasis on persuasion misses the point about why people may prefer to work from home or in an office: peace and quiet, and no commute.

Were seeing a lot of people going back into an office environment whove got used to being able to focus and concentrate. And theyre going into an open-plan office and things are suddenly amplified, said Leah Steele, an executive coach and founder of Searching for Serenity.

Neurodivergent people with conditions such as ADHD may not have realised until the pandemic why they were struggling, she said. It was normal for them to be distracted and tired all the time, and they didnt need to commute two or three hours a day. Suddenly an open-plan office feels overwhelming.

More leisure time has been another plus weekday afternoon golf became a thing in the US, according to Stanford University research.

That sort of finding has allowed critics such as Rees-Mogg to point out that productivity from fully remote working is lower than that achieved in the office about 10% lower, according to Blooms research. Hybrid working may provide the best of both worlds it seems not to have a negative effect, and may provide a modest boost.

Still, the longer-term effect on younger workers careers is harder to assess, and Freebairn said it was fair to compare modern remote workers with freelancers and consultants who work as contractors. They risk being seen as lacking ambition, and find it harder to advance their careers.

During the pandemic, Steele had a lot of calls from younger professionals who were anxious about not being in the office. For someone who is more junior and is struggling, who feels impostor syndrome, and wants to run something past their boss or bounce an idea off a colleague, that wasnt possible.

There may be some technological solutions to these problems, fuelled in part by a growth in the number of startups since the pandemic it seems to be easier to set up a new company without the overheads of an office.

Outfits such as Kadence create virtual office spaces that might make it easier for people to have those watercooler moments with their boss, while Scoop hopes to make it easier to coordinate days in the office with colleagues. And people who dont have space for a desk in their bedroom can use Radious, an Airbnb-like service where you can work from someone elses home.

The challenge for the producers of the new Australian version of The Office will be to reflect how different the working environment is now from 20 years ago. The 2024 version will feature Felicity Ward as the Brent-like manager told that her office is being shut down, and everyone will need to work from home. A tragedy for her. Perhaps not for her staff.

Additional reporting by Donna Ferguson and Maximilian Jenz

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Base Goes Live, TwitterDAO Dies, and XRP Again – BeInCrypto

Crypto news: Amid the flurry of activity that was Twitters rebrand to X, it was inevitable rumors of an X token would surface. Alas, Elon Musk was quick to shut down the chatter.

The entrepreneur, formerly known as Chief Twit, said asserted that neither he nor the platform he owns have launched a token and that they never will.

He was drawn into making the comment after the TwitterDAO token pumped and dumped last Saturday. The BEP-20 token arrived from nowhere on Aug. 3. It was only available to swap for WETH on decentralized exchanges, lacked any social media presence and should have yelled scam to anyone listening.

So with tediously predictability, soon after surging nearly 12,000% in 10 hours, like Musks Starship, the price came back to Earth with a dull thud and not even a whiff of dead cat bounce.

There was much excitement this week with the launch of Coinbases Base mainnet. The testnet launched in February, and the much-anticipated Layer 2 blockchain, described by Coinbase as a secure, low-cost, developer-friendly Ethereum L2 built to bring the next billion users to Web3, made its debut on Aug. 9.

The development of Base was funded by Coinbase. And the crypto exchange operator intends to use the blockchain to power various new products.

Yet, despite this initial impetus, the vision for Base is to build an open ecosystem that will attract other applications beyond Coinbase. In this sense, it is similar to the BNB chain, which grew out of the efforts of the Binance crypto exchange but now runs mostly autonomously from the company that built it.

Probably the most crucial point of interest in the project is the commitment to decentralization. Base has a roadmap for decentralization in the coming months and years, meaning it will eventually transition toward something more analogous to Ethereum.

Speculation over the true identity of Satoshi Nakamoto has raged since Bitcoin was born. And Hal Finney has always been a prime candidate. Our writer James Morales sifted through the evidence. Finney died in 2014 and always denied being Satoshi, but he is remembered in the field of cryptography as a brilliant computer scientist and committed cypherpunk.

Interestingly, Finney was involved in the Bitcoin network from its inception. And he received the first Bitcoin transaction from Nakamotos wallet in 2008.

The degenerative disease ALS would ultimately lead to his death in 2014. In an obituary, the New York Times reported that Finneys family was able to pay for medical treatment in his final years using Bitcoins he secured in the early days of the network.

Shiba Inu (SHIB) was top dog this week in terms of price action, rising nearly 20%. THORChain (RUNE) was runner-up, posting a 16.5% increase in price. And in third place came OKB, up just over 14%.

As the countdown to the Bitcoin halving picks up pace, a number of industry players have been speculating on the future price of the asset. But the prevalent view is that $100,000 is in sight and some say it may be reached before the halving, due next April or May.

For instance, Adam Back, Blockstream CEO, stands firmly behind the belief that Bitcoin will shatter its previous records. He forecasts BTC reaching a price of over $100,000 before the next Bitcoin halving. Indeed, Back, one of the few people cited by Satoshi Nakamoto in the Bitcoin white paper, is so confident in his prediction that he is willing to wager money on this outcome.

The bet is on: I bet Bitcoin reaches or exceeds $100k between now and halving with [Vikingo] 1 million sats to the winner, said Back.

And he is not alone in this bullish outlook. Samson Mow, Jan3 CEO, shares the sentiment, expecting a record price for Bitcoin before the halving, not after.

For an explanation of the Bitcoin halving, click here.

In news that came as a surprise to no one, the Securities and Exchange Commission (SEC) has announced it will appeal a judges ruling that the sale of XRP to retail investors does not classify it as a security.

According to the SEC, an interlocutory review is justified in this situation. It argues that it could impact its other lawsuits which are of similar nature currently awaiting resolution. The outcome of this particular court case can serve as supporting evidence for the defendants.

On July 13, US District Judge Analisa Torres ruled that XRP is not a security when sold to retail investors aka individuals however, it is a security when sold to institutional investors. This result partially favored both the SEC and Ripple, XRPs developer.

All the information contained on our website is published in good faith and for general information purposes only. Any action the reader takes upon the information found on our website is strictly at their own risk.

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Top 5 cryptocurrencies pumping this Monday, August 7 – Finbold – Finance in Bold

As the week begins, five cryptocurrencies among the top 100 in market cap are leading the markets attention with a positive performance on August 7, by press time.

Bitcoin Cash (BCH) is the top performer, up 6.04% with a $457.46 million volume in the last 24 hours; followed by Dash (DASH) up 5% in price for the day but with only $64.57 million in volume accounting for 14% of the leaders exchange volume. Data is from CoinMarketCap, ranking BCH and DASH in the 16th and 90th positions by market capitalization, respectively.

Algorand (ALGO), Basic Attention Token (BAT), and Optimism (OP) are the following top gainers, with registered gains between 2-3%, in the last 24 hours. ALGO and BAT also have less than $40 million in the 24-hour volume, as opposed to more than $100 million in OP exchanged in the same period.

Both Bitcoin Cash and Dash are cryptocurrency projects focused on delivering decentralized peer-to-peer cash, following the original vision of Bitcoin (BTC) by Satoshi Nakamoto.

Bitcoin Cash was the result of a chain split in 2017 in the Bitcoin Network, that originated two different crypto assets: BTC and BCH. The division occurred among several reasons over the decision to increase the maximum capacity of transaction blocks, limited to 4 megabytes in the protocol.

Bitcoin Cash supporters increased the block limit, under the premise of allowing greater scalability, transaction capacity per second, and lower network fees.

While opponents kept the block sizes as per the initial schedule, under the premise that the increase could harm the ability of node operators to be able to store all transaction history. However, In October 2010, Satoshi Nakamoto had already commented on the possibility of increasing the block size, in case the demand for the network also increased in the future.

Dash is also based on Bitcoin, but instead of a chain split, it resulted from a code fork that changed a few parameters of the original protocol creating a new project. Other known Bitcoin forks are Litecoin (LTC) and Dogecoin (DOGE).

The Dash team implemented a network fee for developers, to foment further contributions to the code. The block time was also reduced to 2.5 minutes, as opposed to BTCs and BCHs 10-minute block time allowing the Dash Network to confirm transactions around four times faster than the Bitcoin Network.

Algorand is a Layer 1 (L1) blockchain for decentralized applications (DApps) and Web3. A direct competitor to other L1 networks such as Ethereum (ETH), BNB CHain (BNB), Cardano (ADA) and Solana (SOL).

The Basic Attention Token is a utility token built as a smart contract on the Ethereum Network, created by the Brave Browser team. BAT is distributed to Brave users as a reward for being impacted by advertisements while navigating through the Chrome fork; and can also be used by these users to tip content creators in multiple platforms.

Optimism, the fifth top gainer in the last 24 hours, is one of Ethereums Layer 2s (L2). Created to help scale the main network with faster and cheaper transactions, competing with Polygon (MATIC), Arbitrum (ARB), Base (by Coinbase), and other L2s.

Disclaimer: The content on this site should not be considered investment advice. Investing is speculative. When investing, your capital is at risk.

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This Bitcoin Holder Mined 150 BTC In 2009, Heres How Much It Was Sold For | Bitcoinist.com – Bitcoinist

Back in 2009, Bitcoin was still largely unknown as Satoshi Nakamoto had only released the Bitcoin whitepaper the year before in October 2008, and crypto enthusiasts were still figuring out how to mine and trade these new digital coins.

However, some early adopters were lucky to get in on the innovation very early. An example of this was an individual who mined 150 BTC when they were valued at just $0.13. This was back when mining wasnt that tough and you could mine for BTC on an old beat-up computer.

Bitcoin was practically worthless in its early days. Early adopters were mostly mining BTC just for fun, with only a few of them accepting it as a payment method. However, Bitcoins growth over the years led to the creation of a new industry that saw massive growth spikes in the decade after.

For the holder in this report, after more than a decade of HODLing, their patience and belief in Bitcoin paid off. On-chain data shows that when the 150 BTC were mined, their total value was just $19.50.

However, the owner of those 150 BTC held on for over a decade before finally deciding to cash in. 13 years later, they ended up selling them for a staggering $6.5 million in 2022 at $43,502 per coin, representing a 5 billion percent increase in price.

Interestingly, they sold their coins during a period when Bitcoin had dipped from its all-time high of $68,789 in November 2021. This means if they had sold at the top, they would have realized around $10 million for holding 150 BTC for 13 years.

At the time of writing, Bitcoin is currently trading at $29,468, around 30% below where the holder sold. So if they had held until now, their holdings wouldve declined to $4.5 million by now.

Early adopters are known for making the most profit from the crypto boom. This 5 billion percent profit from 150 BTC adds to a growing list of success stories from early investment and long-term holding.

However, some of these early adopters have had their assets locked forever. A few other miners completely forgot about their early Bitcoin wallets, only to rediscover them years later, while some are lost forever.

According to IntoTheBlock, 29% of the total Bitcoin supply hasnt moved in over five years. Most of these are from early adopters and are presumed to be lost forever.

As the Bitcoin and crypto industry moves forward, it awaits the United States Securities and Exchange Commissions (SEC) approval or rejection of Spot Bitcoin ETF filings by investment companies, as many believe this will trigger the next bull run.

Featured image from iStock, chart from Tradingview.com

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Bitcoin Bull Run Beckons: Unleashing The Potential Of 2024 Halving On Prices – NewsBTC

In the context of the constantly changing and complex cryptocurrency industry, Bitcoin is currently facing a critical point in its trajectory, as it confronts a range of heightened price pressures that pose significant challenges.

The upcoming halving event in 2024 has generated significant anticipation, drawing attention to the complex interaction of various elements that contribute to the value and destiny of the subject in question.

Bitcoins value has increased by 75% so far this year despite having to deal with regulatory scrutiny and fraud. The leading crypto in terms of market cap and widespread adoption has shown surprising resilience in the face of US Securities and Exchange Commission enforcement actions against key exchanges like Binance.US and Coinbase.

Currently, Bitcoin is trading around $29,411, up a meager 0.2% in the last day, but managed to gain a decent 1.4% in the last week, data from crypto market tracker Coingecko shows.Bitcoin is currently showing a neutral stance in the market and facing resistance as it tries to surpass the key $29,600 mark.

If theres a bullish breakout above $29,600, it could potentially open up the path for Bitcoin to reach the $30,200 level. The top coin has already reached the 61.8% Fibonacci retracement level, which is at $29,200.

On the other hand, Bitcoins price could change in a big way if it can break through the support level of $30,200. This accomplishment could act as a catalyst and push the value of the coin into a new range, which is thought to be between $30,600 and $31,000.

Such a breakthrough could make the market more hopeful and boost investor trust, which could set the stage for more growth.

The critical zones to watch are $29,800 and $30,200. If Bitcoins price moves below these levels, it could indicate a bearish trend for the cryptocurrency.

Meanwhile, Cypherpunk figure Adam Back has bet on Bitcoin hitting six figures by March 2024. He made the wager on Twitter, predicting that Bitcoin will surpass $100,000 before the March 31, 2024 halving. The bet is with the Twitter user Vikingo, with the winner receiving 1 million satoshis (0.01 Bitcoin).

For Bitcoin to meet this target, it needs a 243% increase in the next eight months. Before the previous halving in May 2020, Bitcoin saw a range-bound period without major gains. The most significant price surge occurred about six months post-halving, initiating a bullish market trend in November of that year.

Bitcoin halving refers to the occurrence where miners rewards for validating blockchain transactions are halved. This event takes place roughly every 210,000 mined blocks, which translates to approximately every four years.

Introduced by Bitcoins creator, Satoshi Nakamoto, in 2009, halvings serve the purpose of regulating asset supply. The mining reward reduces by half every 210,000 blocks, aligning with Nakamotos original vision as outlined in the white paper. This mechanism ensures the controlled creation of Bitcoin and maintains incentives for miners.

The historical trend of halvings driving price escalation underscores the intricate interplay between scarcity, demand, and Bitcoins valuation, accentuating the anticipation surrounding the forthcoming halvings influence on prices.

(This sites content should not be construed as investment advice. Investing involves risk. When you invest, your capital is subject to risk).

Featured image from Deltec Bank & Trust

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Investing in Bitcoin: A Look at TV Shows’ Predictions – Fagen wasanni

A recent meme featuring a Family Guy crypto reference has sparked interest among Bitcoin enthusiasts. The meme states that if someone had invested $100 in Bitcoin when Peter Griffin mentioned it on the show, they would have a profit of 6,537.08% today, amounting to $6,637.08.

It appears that Family Guy actually mentioned Bitcoin back in February 2016, making it an early reference on television. On the other hand, The Simpsons referenced cryptocurrency in an episode that aired in February 2020. Although it came later, the Simpsons episode included a subtle Easter egg hinting at the identity of Bitcoins creator, Satoshi Nakamoto.

Interestingly, there is also a fan theory suggesting that The Simpsons predicted the rise of Bitcoin as early as 1997. In the episode My Sister, My Sitter, Bart and Lisa are seen walking past a store called Crypto Barn with a sign that reads, A place for codes. While Bitcoin did not exist at the time, it is worth noting that Adam Back, one of Bitcoins early supporters, proposed hash cash in 1997.

It is important to exercise caution when investing in Bitcoin or any other volatile asset. While it may be tempting to follow the footsteps of Peter Griffin, it is crucial to remember that the value of Bitcoin can fluctuate significantly. It is always advised to invest only what one can afford to lose.

Please note that this article does not provide financial advice and is intended for informational purposes only.

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Should the World Move Forward with Decentralization? – CryptoPotato

Imagine making an online payment to a stranger without going through a bank and you still get a reliable and verifiable transaction history. This is how decentralization works. It is the type of process that gives cryptocurrencies the upper hand against traditional currencies. It eliminates the need for intermediaries and allows parties to engage in different transactions without relying on any third party.

The concept has hugely influenced the crypto space, which led the crypto community to revolutionize financial services and other markets. For example, DeFi, or decentralized finance, and DAO, or decentralized autonomous organizations are two famous offsprings of decentralization. As these ideas become more widespread, it is essential to learn what decentralization has to offer to the crypto world.

Cash and banks have existed for decades, and everyone put their trust in this form of centralized structure until the financial crisis that occurred in 2008. This worldwide economic crisis made it evident that a single entity should not be making decisions that will affect everyone. Thus, the need for decentralized currencies became apparent.

In October 2008, Satoshi Nakamoto published the Bitcoin whitepaper, where the idea of a global currency that would be managed and owned by the people was born. More than decades later, the question still remains: should we use decentralized currencies?

Decentralization transfers control and decision-making to the users, enabling the system to not be reliant on a single authority and eliminating the risk of a corrupt or compromised authority. Through this, decentralized systems can ensure better protection and independence. Moreover, decentralization promotes trustless connections, wherein the verification of transactions relies on the collective wisdom of numerous devices that are working together. This prevents the system from being compromised by keeping any bad actors at bay.

Moreover, decentralization reduces vulnerabilities by distributing them across the network. Trustless connections prevent single bad actors from forging transactions or corrupting the system. Cooperation from more than 50 percent of the nodes is required to gain influence, making it increasingly difficult in larger systems. Distributed networks also mitigate threats, as compromising a single node does not jeopardize the entire system.

Decentralization is the defining and exceptional characteristic of cryptocurrency. And as we progress, there will be new decentralized cryptocurrencies and exchanges that will preserve the benefits of decentralization and address its limitations. These will strengthen the innovative structure and revolutionize the world of finance in the future.

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