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On the ‘edge’ of a break through: Clemson University researchers … – Clemson News

September 18, 2023September 14, 2023

Cameras positioned at a bustling intersection spot a pedestrian crossing the street as a self-driving car, out of sight around a curve, approaches in her direction.

To avoid a collision, data from the cameras has to be processed into actionable information that can be sent blazingly fast to the car, but how?

A group of Clemson University researchers led by Associate Professor Linke Guo said the answer could lie in edge computing, a new way of processing and moving data at lightning speed.

Edge computing gives the internet the ability to understand and interact with its immediate surroundings, without having to send large amounts of data to far-away computer centers.

The fates of several futuristic technologies hang in the balance as Clemson researchers work to break ground in the field. It could help make cities smarter, manufacturing more advanced and healthcare more connected, researchers said.

Edge computing will be a key enabler of many technologies, Guo said. Its a pivotal step toward creating a future that will result in applications that are faster, more efficient and more secure. I am excited about our work because we stand at the cusp of more seamlessly integrating data into our daily lives, which will come with a host of benefits.

Edge computing would complement and improve on cloud computing, the current standard for sharing and processing data.

In cloud computing, data is stored on a centralized server, often hundreds of miles from application users, and they access it through computers, such as smartphones and laptops. For example, when someone streams a video on YouTube or Netflix, thats the cloud at work.

But researchers said data is going to have to be processed faster to enable future technologies.

Every fraction of a second counts. For instance, if cameras take several seconds to send data about the pedestrian to the cloud, process it and relay the information to the car, the delay could spell disaster.

Edge computing aims to speed up the data processing by employing devices in the immediate vicinity of where the data is needed. Those devices could include everything from personal smartphones and connected cars to smart thermostats and local servers.

Its called edge computing because data is stored and processed at the edge of the cloud without having to make the leap to the cloud.

The Clemson group is working to use a form of machine-learning artificial intelligence called federated learning to boost edge computings potential. Those algorithms would help devices involved in edge computing get smarter without sending data to a centralized server, making computing faster and more secure.

As part of their work, researchers are tackling the problem of heterogeneous data. Some devices have lots of data but missing pieces, while others have different strengths and speeds, making coordination a challenge. The Clemson group aims to develop a new system called Harmonious Federated Intelligence to get the devices working together.

Guo is working with Assistant Professor Xiaolong Ma, Associate Professor Jon Calhoun, Professor Tao Wei and K.C. Wang, professor and the C. Tycho Howle Endowed Chair. All are on the faculty of the Holcombe Department of Electrical and Computer Engineering.

They are receiving funding for their work through the National Science Foundation. Among their partners is Xiaonan Zhang, who is Guos former Ph.D. student and is now an assistant professor of computer science at Florida State University.

Several students are also involved in the research, helping shape the future edge-computing workforce.

Im really interested in machine learning, said Ruiwen Shan, a Ph.D. student in Calhouns group. Its a hot topic these days, but I havent had a chance until now to look deep into it. This will be a great experience for me.

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Howard’s New Science Program is Training the Next Data Activists – The Hilltop Online

Data science is an interdisciplinary field that allows for the use of the scientific method, algorithms and more to extract insight and make data-driven conclusions to solve some of the worlds most complex problems. (Photo courtesy of Adobe Stock images)

Integrating data science with social justice is what Howards new Masters in Applied Data Science graduate program hopes to accomplish. The fully online program intends to teach students how to use data to improve social and environmental conditions.

The program, which began this fall within the Center for Applied Data Science, aims to provide a new stance when it comes to considering the impact of data science on wider social issues such as health disparities, environmental injustice and economic disempowerment, according to the website.

The program comes about after Howard Universitys partnership with Mastercard, which included a $5 million grant that funded the centers establishment. The partnership aims to drive racial equity through data science, according to Mastercard.

Amy Yeboah, Ph.D. graduate director of the Masters in Applied Data Science program, emphasized the uniqueness of the programs standpoint within the data science field. Yeboah, who spent 10 years teaching African American studies at Howard, began to pivot her focus towards data science at the heart of the COVID-19 pandemic, being witness to the effects that it had brought to people like her.

Seeing the impact of COVID on Black communities allowed Yeboah to gain a new perspective on the nature and implications of Artificial Intelligence. I had seen that computer science, data science, AI specifically, was beginning to disproportionately impact Black and Brown lives, Hispanic lives and American lives, she said.

Nationwide, Black or African American data scientists make up 4.2 percent of the whole, according to Zippia, with White and Asian demographics making up a much larger proportion of the total at 64.2 percent and 18.8 percent.

The African American Studies professor went on to highlight a standout quality of the program which is that its faculty have diverse academic backgrounds. My traditional discipline is African American studies, I have a Ph.D. from Temple University, I also have a Masters in sociology, Yeboah said. Ive always been someone interested in statistics and technology.

The teaching faculty come from a variety of different educational backgrounds and disciplines, Yeboah described. We have a diverse faculty, diverse curriculum, and we are embedded in creating a community different from what exists right now in the tech world, she continued.

The anonymously donated Sean McCleese Endowed Chair will be seated in the Center for Applied Data Science, according to The Dig. They note that the chair will be used to work with the university on matters of social justice and to support the center.

Three weeks into the program, many students agree that the programs faculty provides an enriching sense of cultivation. Graduate student and chemical engineer Tamara Haye from Washington D.C. emphasized the switch from her specialized field to data science and analytics.

Im a chemical engineer, Im not a computer science engineer. Those are two different things. Its two different skill sets, the Howard undergraduate alumna said. For her, learning the Python programming language has been the most difficult thing so far.

The programs courses consist of computation social justice, data storytelling and visualization, engineering and managing data-driven change, machine learning, and bias and ethics among many other courses engaging in issues concerning tackling sensitive issues.

Ronald Jackson Carter Jr., a first-year graduate student in the new program agreed that the classes are challenging. Its very intense and fast-paced, but I think that the resources and the help are equally supportive, he said. The Mississippi native was the 45th Mister Howard University and is a Mastercard data science scholar. You have a professor, you have PAs that are very knowledgeable, the department chair, Dr. A is very supportive.

I think something that stands out the most is that its a diverse group of students, he continued. The program has new grads, it has people that have been in their careers for 12 years and are coming back trying to further their education, you have all these different people from different backgrounds, whether theyre starting out as computer scientists or sociologists.

The program is held completely online because Its a global conversation that we want you to join from wherever you are, Yeboah said. The program is 30 credits, including eight required courses, two electives involving data, an internship and a capstone.

Haye added how being a 1996 alumna allows her to see the change at the university over time. Theres been an expression and an allocation of resources that are unique to graduate students and the graduate programs, she said. I think now its just a matter of tapping into those resources.

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Mechanical engineering with a twist: Pursuing a passion for robotics … – MIT News

A photo of students in colorful hardhats running across Killian Court is what first drew Sharmi Shah 23 to the Department of Mechanical Engineering (MechE), but a desire to make the world a better place is what inspired her to pursue studies in the field and to focus on robotics.

Coming in, I thought I wanted to study mechanical engineering, but there wasnt much of a concrete basis behind that thinking, she says. She debated several majors, including pre-medicine and computer science, but landed on MechEs 2-A/6. Course 2-A/6 is a major in the mechanical engineering department, Shah explains. You take the core classes, but then you also get to pick and choose from computer science and electrical engineering.

Course 2-A is a twist on the traditional Course 2, mechanical engineering degree. By coupling the degrees core courses with a customized curriculum, students can home in on their personal interests such as robotics, entrepreneurship, or energy. Students can pick from a list of existing concentrations, like 2-A/6, also known as Control, Instrumentation and Robotics (CIR), or propose their own.

As a 2-A/6 major, Shah spent a year working on a robotic system named PEARL, a large sensing robot developed by theEngineering Systems Laboratory that harvests solar energy to recharge autonomous underwater vehicles (AUVs) and connect to low-Earth orbit satellite constellations for quick data transmission.

Inspired by the potential in the robotics field, she started taking more robotics classes and ended up taking most of the classes offered. In Professor Sangbae Kims class, 2.74 (Bio-Inspired Robotics), she and her team built a hula-hooping robot. We got to do everything from the controls to the mechanical design and the software, she says. In Professor Russ Tedrakes classes (Robotic Manipulation and Underactuated Robotics), she gained more experience with optimization techniques, perception, planning, and nonlinear controls.

Shah returned to MechE as a graduate student this fall and is now working in Kims Biomimetic Robotics Laboratory. Biomimetics is a discipline that employs an understanding of processes from nature, biology, and the natural world to create models, materials, machines or systems that help solve complex human problems.

During her graduate studies, she expects to focus on tactile sensing work she began during her Undergraduate Research Opportunity Program project as a senior. However, she knows her path may unfold in various ways that shes not fully aware of yet an uncertainty she embraces.

Not everything ends up going to plan, and that is A-OK, she says. You learn as you go that thinking can apply to your career planning, or classes, but also to engineering you try something, you try it again, you make a little progress. You keep trying.

Shes found a supportive community in MechE, and throughout campus, particularly as a member of Mirchi, MIT's nationally-ranked Bollywood fusion dance team. She also frequents the campus makerspaces and the MechE lounge, a gathering and collaboration space for the department. Community is important to Shah. Im grateful for all the friends Ive made here, and to my family theyre my biggest support system.

Shah says shes excited to be returning to MIT for her graduate studies. Theres always more I can learn and I want to keep learning.

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The CSUN club that’s encouraging women in STEM – Daily Sundial

CSUNs Girls Who Code club is just one of many across many campuses and countries, including 110 in California alone. According to the Girls Who Code official website, they have served over half a million girls, women and non-binary individuals through their various programs and clubs.

The purpose of Girls Who Code is to offer support to women and other underrepresented groups who are the minority in STEM fields, said club president Mariella Galvez-Perez, a senior at CSUN majoring in computer science.

Getting women and other underrepresented groups involved in computer science and STEM is important because it helps bring new ideas and outlooks on complex issues in the field, said Katya Mkrtchyan, the clubs faculty advisor and assistant professor in the Department of Computer Science.

If we focus on teaching women computer science skills, then I can say that it will bring different perspectives and approaches to problem solving new ideas, new ways of approaching problems, said Mkrtchyan.

Building a sense of community for newcomers is a major part of the club, said Girls Who Code Vice President Nitya Kumari.

Kumari, who is pursuing a masters in engineering management, said she and her board work hard to ensure everyone feels welcomed and supported at Girls Who Code.

I believe its mostly a community for girls who are into coding, even if they are beginners. It creates a sisterhood. We are all growing together in life and in our careers, and we help each other, said Kumari.

This semester is Galvez-Perezs first as the president of Girls Who Code, but she has been involved with the club as a member for about a year. The clubs message and sense of community for women in STEM are some of the factors that encouraged her to join.

In this major, theres a lot of guys. In my classes, Ive been one of just three girls, said Galvez-Perez. I liked that they empower women, and theyre all about helping them to succeed in the tech world. I became part of it because thats something Im passionate about.

In place since 2019, the club usually has 30-40 members each semester. Even though the club is targeted to STEM students, they make an effort to offer workshops that can be helpful for students from any background, according to Galvez-Perez.

We dont only have technical workshops. We also have workshops on how to build a resume, interviews, LinkedIn things that all majors need, said Galvez-Perez.

Each month, the club hosts a workshop, a social event and a study session. This semester, Galvez-Perez is looking forward to a workshop on technical interviews and the monthly study sessions.

Girls Who Code will be joined by the Society of Women Engineers group at CSUN at the study sessions, said Galvez-Perez.

Galvez-Perez reiterated how the study sessions could be used as an effort to combine the two groups and see how they work together.

The clubs can come together and study together. Like I said, theres a lot of men in the classrooms. So in our study sessions, girls can come together, help each other, get to know each other and feel less isolated, said Galvez-Perez.

Galvez-Perez said that preparing members for their future careers in STEM is one of the clubs biggest accomplishments. She has watched her peers go on to accomplish great things after graduating and being a part of the club.

Galvez-Perez gave an example of the previous club treasurer, who went on to pursue a masters degree in computer science at USC and work for the company Raytheon.

Helping people get interviews and internships and preparing them for a professional career, thats what Im really proud of, said Galvez-Perez.

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Helping computer vision and language models understand what … – MIT News

Powerful machine-learning algorithms known as vision and language models, which learn to match text with images, have shown remarkable results when asked to generate captions or summarize videos.

While these models excel at identifying objects, they often struggle to understand concepts, like object attributes or the arrangement of items in a scene. For instance, a vision and language model might recognize the cup and table in an image, but fail to grasp that the cup is sitting on the table.

Researchers from MIT, the MIT-IBM Watson AI Lab, and elsewhere have demonstrated a new technique that utilizes computer-generated data to help vision and language models overcome this shortcoming.

The researchers created a synthetic dataset of images that depict a wide range of scenarios, object arrangements, and human actions, coupled with detailed text descriptions. They used this annotated dataset to fix vision and language models so they can learn concepts more effectively. Their technique ensures these models can still make accurate predictions when they see real images.

When they tested models on concept understanding, the researchers found that their technique boosted accuracy by up to 10 percent. This could improve systems that automatically caption videos or enhance models that provide natural language answers to questions about images, with applications in fields like e-commerce or health care.

With this work, we are going beyond nouns in the sense that we are going beyond just the names of objects to more of the semantic concept of an object and everything around it. Our idea was that, when a machine-learning model sees objects in many different arrangements, it will have a better idea of how arrangement matters in a scene, says Khaled Shehada, a graduate student in the Department of Electrical Engineering and Computer Science and co-author of a paper on this technique.

Shehada wrote the paper with lead author Paola Cascante-Bonilla, a computer science graduate student at Rice University; Aude Oliva, director of strategic industry engagement at the MIT Schwarzman College of Computing, MIT director of the MIT-IBM Watson AI Lab, and a senior research scientist in the Computer Science and Artificial Intelligence Laboratory (CSAIL); senior author Leonid Karlinsky, a research staff member in the MIT-IBM Watson AI Lab; and others at MIT, the MIT-IBM Watson AI Lab, Georgia Tech, Rice University, cole des Ponts, Weizmann Institute of Science, and IBM Research. The paper will be presented at the International Conference on Computer Vision.

Focusing on objects

Vision and language models typically learn to identify objects in a scene, and can end up ignoring object attributes, such as color and size, or positional relationships, such as which object is on top of another object.

This is due to the method with which these models are often trained, known as contrastive learning. This training method involves forcing a model to predict the correspondence between images and text. When comparing natural images, the objects in each scene tend to cause the most striking differences. (Perhaps one image shows a horse in a field while the second shows a sailboat on the water.)

Every image could be uniquely defined by the objects in the image. So, when you do contrastive learning, just focusing on the nouns and objects would solve the problem. Why would the model do anything differently? says Karlinsky.

The researchers sought to mitigate this problem by using synthetic data to fine-tune a vision and language model. The fine-tuning process involves tweaking a model that has already been trained to improve its performance on a specific task.

They used a computer to automatically create synthetic videos with diverse 3D environments and objects, such as furniture and luggage, and added human avatars that interacted with the objects.

Using individual frames of these videos, they generated nearly 800,000 photorealistic images, and then paired each with a detailed caption. The researchers developed a methodology for annotating every aspect of the image to capture object attributes, positional relationships, and human-object interactions clearly and consistently in dense captions.

Because the researchers created the images, they could control the appearance and position of objects, as well as the gender, clothing, poses, and actions of the human avatars.

Synthetic data allows a lot of diversity. With real images, you might not have a lot of elephants in a room, but with synthetic data, you could actually have a pink elephant in a room with a human, if you want, Cascante-Bonilla says.

Synthetic data have other advantages, too. They are cheaper to generate than real data, yet the images are highly photorealistic. They also preserve privacy because no real humans are shown in the images. And, because data are produced automatically by a computer, they can be generated quickly in massive quantities.

By using different camera viewpoints, or slightly changing the positions or attributes of objects, the researchers created a dataset with a far wider variety of scenarios than one would find in a natural dataset.

Fine-tune, but dont forget

However, when one fine-tunes a model with synthetic data, there is a risk that model might forget what it learned when it was originally trained with real data.

The researchers employed a few techniques to prevent this problem, such as adjusting the synthetic data so colors, lighting, and shadows more closely match those found in natural images. They also made adjustments to the models inner-workings after fine-tuning to further reduce any forgetfulness.

Their synthetic dataset and fine-tuning strategy improved the ability of popular vision and language models to accurately recognize concepts by up to 10 percent. At the same time, the models did not forget what they had already learned.

Now that they have shown how synthetic data can be used to solve this problem, the researchers want to identify ways to improve the visual quality and diversity of these data, as well as the underlying physics that makes synthetic scenes look realistic. In addition, they plan to test the limits of scalability, and investigate whether model improvement starts to plateau with larger and more diverse synthetic datasets.

This research is funded, in part, by the U.S. Defense Advanced Research Projects Agency, the National Science Foundation, and the MIT-IBM Watson AI Lab.

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opBNB launches on mainnet: How did BNB react? – AMBCrypto News

Binance [BNB], one of the largest blockchain companies in the world, added a new feather to its cap as it rolled out the mainnet of its much-awaited layer-2 (L2) network, opBNB.

Read Binance Coins [BNB] Price Prediction2023-24

The development was part of the Binances broader vision to onboard the next one billion users to Web3.

Unlike most other L2 networks which cater to the Ethereum [ETH] base layer, opBNB would function to ease the burden of BNB Smart Chain.

The project is built on the OP stack, the software powering another prominent L2 blockchain, Optimism [OP]. Moreover, its an Ethereum Virtual Machine (EVM) compatible chain, meaning that decentralized applications (dApps) from other EVM networks could be easily migrated without changing the code.

Like other L2s, opBNB aimed to provide significant enhancements in terms of transaction throughput and usage costs vis--vis the base layer.

The results from the nearly three-month-long testing phase yielded encouraging results, as per the BNB Chain team. More than 35 million on-chain transactions were executed, with a daily transaction range of 100,000-150,000.

Notably, it took just one second to produce a new block. On BNB Chain, for context, it took roughly three seconds. The transaction costs were also reported to have been significantly reduced, as low as $0.005 for each transfer, with L2 gas costs at 0.2 gwei.

On-chain data since the launch announcement corroborated the above claims. Notably, the transaction count jumped to 138,777 on 13 September.

Furthermore, the gas price was found to be in line with the aforementioned test phase results. Note that the average gas price on the BNB Chain was nearly 4x this value.

How much are1,10,100 BNBs worth today?

The launch of the L2 caused a temporary rip in the value of native coin BNB. According to CoinMarketCap, the coin jumped to $214, but retraced back to $212 at the time of publication, effectively nullifying the gains.

That being said, opBNB was a big addition to Binances ecosystem. Though not often immediately apparent, the benefits of technical advancements like these can have a positive impact on the asset in the long run.

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Binance Coin Price Is Hanging By A Thread Is BNB Going To $185? – Analytics Insight

Binance coin (BNB) price is facing massive headwinds due to the increased regulatory scrutiny in multiple jurisdictions. The native asset of the biggest digital exchange platform is 69% down from its 2021 all-time high. The weakness in Bitcoin is further fuelling the bearish sentiment.

Bitcoin price has rebounded strongly from its September lows. The biggest cryptocurrency by market cap is now changing hands above the $26,500 level. BNB coin has also shown a good recovery and is up 4% from the weekly lows. Lets analyze its strength against Bitcoin to see where its heading from here.

BNB Price Tanks Against BTC

As mentioned in my previous analysis, the BNB/BTC pair has failed to break above the 0.0085 resistance level. This resulted in further weakness in the Binance coin, which has now plunged to 0.0080 in terms of Bitcoin. The pair has slid 8.62% from its August highs.

The BTC pair of an altcoin is one of the best measures of a coins strength. Based on the following chart, I expect a strong price rally if BNB breaks the 0.0085 resistance level. However, such a move is unlikely to occur anytime soon as Bitcoin dominance has surged above 50% once again. Binance coin price in USD may remain in a downtrend if the BTC pair remains below 0.0085.

Binance Coin Faces Headwinds From Decreased Activity On BSC

There has been a sharp decline in the network activity on the Binance Smart Chain in the last two years. This is evident from the drop in TVL, as shown in the following chart. BNB is used to pay for the transaction fees on BSC, and its demand has significantly decreased since 2021. Nevertheless, the digital asset still holds a lot of uses in the whole Binance ecosystem.

DeFi tracking website, DeFi Llama, reveals that there is currently $2.83 billion locked on BSC. It is the new low for the blockchain network after its peak of $21.5 billion in 2021. The decrease in TVL can be attributed to the decrease in number of crypto users globally.

Binance Coin Price Prediction

After a strong rebound from its August lows, BNB price failed to break above the $220. The following BNB/USD chart shows that the pair is struggling to break above $214 after breaking below on the weekend. Another rejection from the $220 has made Binance coin price prediction bearish.

A break above $220 might open the doors for a bigger upside push towards $250. However, it is soon to discuss this move as the Bitcoin price action remains uncertain. The SECs latest actions against Binance are keeping the long-term

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Here’s Why Toncoin Has Surged Over 40% to Become a Top 10 … – CryptoPotato

Toncoin (TON) has soared over 40% in the past week, currently trading at $2.42 a level not seen since mid-April.

This impressive price rise has pushed TON into the top 10 cryptocurrencies by market cap, showcasing its growing momentum and the increasing confidence from investors.

However, its not just Toncoin that has been catching the eye, as the new crypto Bitcoin BSC (BTCBSC) has also been making waves in the market.

Originating from the creators of the popular messaging platform Telegram, Toncoin was initially created to be the native cryptocurrency of the Telegram Open Network (TON).

This multi-blockchain platform aimed to offer low-cost crypto transactions while remaining highly scalable.

However, Telegram faced significant regulatory hurdles from the SEC and distanced itself from the project yet a passionate community of supporters opted to take up the reins.

Since then, this community has driven Toncoins development and adoption, transforming it into a major player in the crypto market and rebranding it as The Open Network.

According to CoinMarketCap, TON now boasts a market cap of $8 billion, higher than the likes of Solana, Litecoin, and Shiba Inu.

Moreover, as noted by Etherscan.io, 7,200 unique wallet addresses now hold TON a figure that has increased significantly in the past week.

This rise in adoption indicates a growing trust in Toncoin, solidifying its position as one of the worlds top cryptocurrencies.

One of the main catalysts driving Toncoins recent price rise is its integration with Telegram.

The Telegram platform, which boasts over 800 million users, integrated The Open Networks self-custodial crypto wallet, named Ton Space.

As noted in an article from Forbes, this move provided the ability for Telegrams massive user base to make transactions using TON.

With such a vast audience now having direct access to TON, investor confidence has skyrocketed, leading to the recent surge in the coins value.

TON has closed in the green in three of the last four weeks, demonstrating consistent positive momentum while the broader crypto market struggles.

Given that Telegrams user base is continuing to grow, the integration of TON sets the stage for further price growth in the months ahead.

While Toncoins rise is making headlines, its not the only crypto gaining market traction.

Bitcoin BSC is also garnering significant investor attention due to its unique use cases and growing communities.

Bitcoin BSC (BTCBSC) aims to capture the sentimentality surrounding Bitcoins early days while leveraging the power of updated blockchain technology.

At its core, Bitcoin BSC is a greener version of Bitcoin, built on the Binance Smart Chain, that utilizes a Proof-of-Stake (PoS) protocol instead of power-hungry mining.

Thanks to this setup, BTCBSC holders can stake their tokens to earn regular rewards with yields currently set at 193% per year.

Over 1.3 million BTCBSC have already been staked, a testament to the tokens growing popularity within the crypto community.

Staking rewards are released every 10 minutes, with Bitcoin BSCs whitepaper revealing that a whopping 69% of the total token supply has been allocated to the staking pool.

A further 29% has been earmarked for the ongoing presale, which has raised an impressive $2.7 million in just over two weeks.

Interested investors can buy BTCBSC tokens for just $0.99 during this presale before their official launch on public exchanges in the coming weeks.

This appealing setup has piqued the interest of some big names in the crypto influencer community, with Joe Parys Crypto, who has over 382,000 YouTube subscribers, describing it as one of his top 5 Bitcoin alternatives under $100.

Time will tell whether BTCBSC can live up to its growing hype, but for now, it stands as a promising project that investors may wish to monitor.

Visit the Bitcoin BSC Presale

Disclaimer: The above article is sponsored content; its written by a third party. CryptoPotato doesnt endorse or assume responsibility for the content, advertising, products, quality, accuracy, or other materials on this page. Nothing in it should be construed as financial advice. Readers are strongly advised to verify the information independently and carefully before engaging with any company mentioned and do their own research. Investing in cryptocurrencies carries a risk of capital loss, and readers are also advised to consult a professional before making any decisions that may or may not be based on the above-sponsored content.

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Bitcoin Price Continues to Grow & Surpasses $27K, as Stake-to … – Finbold – Finance in Bold

Press Releases are sponsored content and not a part of Finbold's editorial content. For a full disclaimer, please . If you encounter any issues, kindly report them to [emailprotected].

The Bitcoin price has just passed $27K as traders received their first green candle in over a month. This happened as optimism crawls back into the Bitcoin market before this weeks FOMC meeting.

BTC is now up over 8.7% across the last week and over 2.6% in the last 24 hours alone.

Meanwhile, a newly launched Bitcoin rival, Bitcoin BSC, has exploded in the early stages of its presale, nearing its $3.9 million soft cap in less than two weeks.

With the scheduled FOMC meeting this week, traders are optimistic, with the Bitcoin price edging above the 200-day EMA for the first time since August.

Furthermore, the price rebounded at $25,170. This created a double bottom and is proving a strong level since it also acted as resistance in February as the Bitcoin price was climbing.

The Federal Reserve meeting will decide on interest rate policy and other monetary matters affecting crypto and other risk assets.

Bitcoins recent bounce indicates a bullish sentiment. However, due to its proximity to the 200-day EMA, the FOMC result could profoundly affect Bitcoins price in either direction.

According to CME Groups FED Watch tool, the FOMC meeting will unlikely increase interest rates, with a 99% prediction that rates will remain unchanged. This may allow for a bullish continuation for Bitcoin.

Nevertheless, Augusts CPI data showed a 0.6% increase in inflation, opening the door to a possible reaction by the FED.

Despite the uncertainty regarding the FOMC meetings outcome, the market is optimistic. Numerous TradingView analysts have published bullish Bitcoin chart ideas, and the TradingView aggregated technical indicators also predict that Bitcoin is in a buy zone.

Prominent crypto analysts have also chimed in on Bitcoins next move, with Michael Van Poppe forecasting an upward move for Bitcoin from its current price. He also notes that Bitcoins bullishness has started causing altcoins to rally.

Looking beyond market sentiment, Bitcoin fundamentals are performing well, with the Bitcoin hash rate at its highest-ever level, at over 420 million TH/s.

Meanwhile, CoinMarketCap data shows the number of wallets holding Bitcoin is also climbing.

While, Bitcoin displays relative bullishness, a newly launched competitor, Bitcoin BSC is also seeing notable growth..

Bitcoin BSC is a new presale cryptocurrency aiming to provide a more scalable, fast, and eco-friendly version of Bitcoin. After launching two weeks ago, the presale got off to an explosive start, having already raised over $2.8 million.

It features the same amount of tokens as Bitcoin (21 million) and prioritizes community participation and rewards. However, Bitcoin BSC differs from Bitcoin because it is built on the Binance Smart Chain, providing numerous advantages.

As mentioned, the Bitcoin BSC project features a Stake-to-Earn feature. This feature replaces Bitcoins mining mechanism, often criticized for being expensive, bad for the environment, and overly complicated for non-technical crypto users. Meanwhile, Bitcoin BSCs mining mechanism consumes minimal energy and is free and easy to get started.

Another feature of Bitcoin BSC is that users can buy their presale using a MetaMask or Trust Wallet account, making it more beginner-friendly than Bitcoin. Most beginner users are more accustomed to these wallets since they support Ethereum, Binance, Polygon, and other EVM-compatible chains.

Finally, the Binance Smart Chain is fast, secure, and reliable, enabling Bitcoin BSC holders to enjoy a seamless user experience free of expensive and slow transactions, as seen on the Bitcoin and Ethereum networks.

Its presale is priced at just $0.99. So, compared to Bitcoins current price of $26.6K, it is no surprise that the Bitcoin BSC presale has enjoyed such early success. It has also captured the attention of prominent analysts, with Jacob Bury calling for 10x gains.

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Ethereum Price Prediction as Grayscale Files For New Ether Futures … – Cryptonews

ETH Chart / Source: Adobe

Crypto asset management giant Grayscale just filed paperwork with the US Securities and Exchange Commission (SEC) to create a new Ether (ETH) Futures Exchange Traded Fund (ETF), as per a report by the Wall Street Journal.

Grayscale filed for the ETF under the Securities Act of 1933, having also previously filed for an Ether Futures ETF under the Investment Company Act of 1940.

While comparable Bitcoin Futures ETF have been approved by the SEC under both acts, most ETFs are filed under the 1940 act.

Reports in the crypto press back in late August suggested there is a strong possibility that the SEC will approve a number of Ether Futures ETFs as soon as October.

That news made the price of Ether surge at the time amid front-running from traders, because a wider availability of Ether Futures ETFs could indirectly increase demand for the cryptocurrency, assuming institutional investors start buying up Ether Futures ETFs once they go live.

Ether was last changing hands around $1,640, just to the north of its 21DMA.

The fact that Ether looks set to close above its 21DMA following a fairly convincing break above the level in the past two days is a positive for the cryptocurrencys near-term price outlook.

The 21DMA had previously been acting as an area of strong resistance for the past more than two-months.

A break above this level sets the stage for a potential rally to the 50DMA just above $1,700 and even the late August highs around $1,740.

Assuming ETH can close above its 21DMA, near-term price predictions are likely to turn modestly more bullish.

But traders should keep an eye on upcoming macro risk events, such as Wednesdays rate decision and monetary policy announcement from the US Federal Reserve.

The central bank isnt expected to change interest rates, but is expected to signal that more rate hikes remain possible, as well as release a new summary interest rate projections from its policymakers plus new economic forecasts.

That could impact ETH, depending on how the US bond market and US dollar react a dovish meeting (where expectations as to how high interest rates will go/remain fall) would weigh on the yields and US dollar, likely boosting ETH, and vice versa.

Ether traders may also remain reluctant to enter big positions in the cryptocurrency as they remain in wait-and-see mode ahead of Octobers expected Futures ETF decisions from the SEC.

One problem with an Ether Futures ETF is that its buyers wont be set to benefit from the solid yield they can generate from Ether staking.

To benefit from Ether staking yields, which are normally in the region of 4%, investors would do better to buy the actual ETH token and set up a staking node, or buy a ETH liquid staking derivative such as stETH.

Investors interested in a riskier cryptocurrency with a much better staking yield should check out a newly launched token called Bitcoin BSC(BTCBSC).

Bitcoin BSC is a BEP-20 token issued on the Binance Smart Chain but with pretty much the exact same tokenomics of Bitcoin, although Bitcoin BSC winds the clock back to 2011, when Bitcoin traded at $1 per token.

Indeed, Bitcoin BSC tokens are currently being sold in presale for $1 each, with over $2 million already raised.

Bitcoin BSC holds various advantages over Bitcoin it is greener thanks to the Binance Smart Chains lower energy consumption and is more readily available for use in the Binance Smart Chains growing Decentralized Finance ecosystem.

Moreover, Bitcoin BSC holders can stake their tokens to benefit from BTCBSC issuance according to the same schedule that Bitcoin was on back in 2011.

That means BTCBSC holders could be looking at double or even triple digit annual yields if they stake their tokens.

A similar project BTC20 the exact same concept but issued as an ERC-20 token on Ethereum was able to quickly sell out a blockbuster $6 million presale and then post gains of as much as 6x, while BTC20 is still trading above its presale price of $1.

Bitcoin BSC is thus an opportunity for those who missed BTC20 to get in early.

Bitcoin BSC could do even better than BTC20 given the Binance Smart Chains faster transaction speeds and lower fees, making for a better trading and DeFi experience.

Investors need to move quickly, as the tokens hard cap raise target of just under $4 million will likely soon be reached.

Buy Bitcoin BSC Here

Disclaimer: Crypto is a high-risk asset class. This article is provided for informational purposes and does not constitute investment advice. You could lose all of your capital.

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Ethereum Price Prediction as Grayscale Files For New Ether Futures ... - Cryptonews

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