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Dalhousie University: The ideal institution for ambitious computer … – Study International News

As a teenager growing up in Lahore, Pakistan, Sami Bashir had always been fascinated by the film Moneyball. There was something magical about watching people incorporate technology to remove biases in decision-making, and create opportunities for people that, otherwise, may have been overlooked by traditional scouting systems, he shares.

The film made a profound impact on his career aspirations. As a Communications and Media Studies graduate, hed worked on a research project that focused on the impact of data analytics in soccer. This, combined with his favourite series, sparked a realisation in him. At that point, I was confident that I wanted to be in that intersection between people and technology, he says.

Dalhousie University is one of the top schools in the country and offered a programme that allowed me to gain more hands-on knowledge about the impact of data in decision-making within the context of business environments, he says. Coming here was the logical next step in my professional journey.

As one of the top 15 universities in Canada (Times Higher Education), the institution has a strong reputation for offering groundbreaking and immersive programmes for ambitious students. Its Faculty of Computer Science one of 13 academic faculties brings together award-winning professors, outstanding facilities and invaluable experiential learning experiences, creating the ideal learning environment.

The faculty has an array of excellent graduate programmes, such as the Master of Applied Computer Science and Master of Digital Innovation (MDI). Bashir chose the latter where he could explore various disciplines under the guidance of experts.

One notable course involved creating a prototype for a digital transformation project where students worked with an industry partner in the Office of the Auditor General of Canada to come up with innovative solutions to some challenges they were facing, he shares. I found this to be a fantastic way to simulate the experience of working in a technological environment, even before our co-ops.

The Faculty of Computer Science provides an ideal learning environment for ambitious international students. Source: Dalhousie University

A prominent feature of the faculty is the opportunity to participate in a Computer Science Coop, a work placement where students can apply their knowledge to the real world. This lets students develop specialised skill sets and tests them in a professional setting. They do so in Halifax, the second fastest-growing city in Canada for tech diversity and wage growth.

Two words Bashir would use to describe his co-op experience? Challenging and rewarding. I was thrilled at the opportunity to apply the knowledge I gained to solve complex business problems and create value for Scotia Investments and the nine companies under their banner, he shares. Working on multiple projects, often at the same time, helped develop my project management skills and become familiar with the pressures that come in roles that require it.

What was most memorable, however, was the chance to lead the companys website development project. Initially, I just wanted to be involved and provide support for the project, but my passion and collaborative spirit were evident from the start, he says. My responsibilities only grew from there, involving interactions with co-op students, directors, and even the CEO! Very soon, I was leading meetings with both internal and external stakeholders, and I was very proud to be able to take this project from start to completion on time and within budget.

Undergraduate students are not exempt from this experience, either both the Bachelor of Computer Science and Bachelor of Applied Computer Science similarly adopt co-op practices. For Indian-born student Shreya Sharma, this was a significant factor that led her to choose Dalhousie University.

I am currently completing my co-op at the Atlantic Canada Opportunities Agency (ACOA) as a Student Application Developer, she says. Throughout my work term, I have learned to navigate different technologies such as PowerShell Scripting, SharePoint Online, PowerApps, and Power Automate, as well as soft skills such as professional communication and documentation.

Computer science students at Dalhousie University apply what learn in the classroom in real-world scenarios. Source: Dalhousie University

Sharma was fortunate to have received two scholarships the Women in Technology and Dalhousie Entrance Scholarships. They lifted a huge burden off her shoulders. I have seen some of my friends who are very capable and hardworking, but are unable to do well in academics because they have to juggle a few jobs to pay their tuition, she explains. I am thankful that I got these scholarships and am able to focus on my academics.

With more free time, she could participate in the many exciting extracurricular activities on campus. I attend events and activities hosted by Shiftkey Labs, the Women in Technology Society (WiTS), and other societies on campus whenever I have a chance, the undergraduate student says. I was even able to become a tutor with Bisset Student Success Centre, and a Junior Head TA for the Discrete Math course.

Outside of classes, Sharma enjoys her time in Halifax. I think Halifax is an ideal place to live, work and study because of the welcoming and close-knit community, she shares.

In Halifax, if you want to do anything, you will find people and resources to support you. Through your network, you can find someone who might be able to help you. People here are lovely even if they dont know you personally, they will try to help you as much as possible to reach your goals.

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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, 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

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

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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.

Visit Bitcoin BSC Presale

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