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Newark Board of Education Hosts 2nd Installment of Microchip … – PR Newswire

NEWARK, N.J., Oct. 13, 2023 /PRNewswire/ -- On Saturday, September 30, 2023 pre-kindergarten students from Mount Vernon Elementary School were greeted at the Newark School of Data Science & Information Technology for the Newark Board of Education's second installment of its Microchip Robotics program. This is part of the Before Kindergarten (B4K) Initiative, which connects pre-kindergarten students from elementary schools to their aligned high schools in order to begin building lasting relationships and provide them with the opportunity to participate in innovative activities.

As part of this collaboration, students will have many writing, mathematics, and fine motor skills opportunities. Microchip Robotics also allows pre-kindergarten students to start seeing how STEM exists around them using, in this case, using energy as the theme. Energy permeates all STEM fields and is vital in the real world.

Data and AP Computer Science Teacher and Robotics Coach Tim Salerno states, "Energy is all around them! I want them to start thinking about their relationship to energy and how energy moves through a system (in our case, food -> student -> Lego Machine), as this is a relationship their generation will be thinking about as climate change progresses. We all think about our relationship with energy production and consumption."

Upcoming sessions of the B4K Microchip Robotics program will be focused on Lego and mechanical energy, but also expand to electrical energy and simple circuits/electricity so students can see how energy comes in many forms.

"We are thrilled with the success of the Microchip Robotics program in inspiring our youngest learners to engage with STEM concepts," Superintendent Len shared. "By introducing them to the importance of energy in our world, we empower them to think critically about their impact on the environment and make informed decisions for a brighter future."

For media inquiries, please contact:Nancy J. Deering, Acting Communications Director[emailprotected]

About Newark Public SchoolsThe Newark Public Schools is the largest school district in New Jersey and dates back to 1676. The District currently enrolls over 39,000 students in 63 schools. After more than two decades of state operation and upon return to local control in 2018, the District has opened 9 new schools under Superintendent Len's leadership with an additional portfolio of new options to be announced in the coming months and years. The Newark Board of Education serves as a beacon of educational excellence, dedicated to nurturing the potential of every student. With a commitment to innovation, inclusivity, and fostering a love for learning, the District continues to shape future generations and make a positive impact within the community.

SOURCE Newark Board of Education

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DU introduces MA in Hindu Studies along with Data Analytics … – Education Times

The University of Delhi (DU) in its centenary year has set up a Centre ForHinduStudiesoffering an MA in the subject in the academic year 2023,along with a few morenew centres forstudies.Registration for the course is on and the University has received applications from a wide range of graduates from across the country.The program aims to combine traditional knowledge ofHindu philosophy with contemporary subjects such as computer science, data analytics, commerce, and political science.

While Nalanda University, BanarasHinduUniversity (BHU), Indira Gandhi National Open University (IGNOU) and 20 other institutes in India have been offeringHinduStudies for several years, DU initiated this course much later. Several courses on religious subjects have been successfully running at DU for the last several decades. The Universities have programmes in subjects such as Buddhist Studies, IslamicStudies,andChristianStudieshowever,HinduStudies has been launched after 66 years.

Talking toEducation Times,Prerna Malhotra, joint director, Centre forHinduStudies, says, Several prominent Western institutions including the Oxford University, University of Cambridge, Massachusetts Institute of Technology (MIT) and Harvard University have already been offering courses onHinduStudies. India is relatively late in introducing the subject in educational institutes. India has aHindu majority, but the subject is taught only in 20 universities so far, says Malhotra.

The course is in line with the National Education Policy (NEP) 2020s progressive provision. Besides religious philosophy, the students will study contemporary subjects such as Computer Science, Data Analytics, Commerce, and Political Science as a minor. The course has a major focus on theoretical curriculum, which will include the essence ofHindu dharma, Upanishads and Vedas. It will also include a mandatory paper on Western methods such as critical and analytical theory, papers on Ramayana and Mahabharata and a paper on English or Sanskrit language, says Malhotra.

The curriculum has been designed in a manner that is open for students from varied fields so that students from any discipline can apply for the course.

Several new jobs are being created in the realm of religiousstudies, thus, the pass-out students will have multiple opportunities. After finishing the course, students can take the National Eligibility Test (NET) to work as assistant professors or research fellows. Being aHindu life coach is yet another job that is gaining popularity. These coaches are involved in religious counselling at various corporates. They can also be hired as columnists or writers for various media houses and TV Channels. Apart from this, students will be able to continue with their minor degree as a career option as offered by the university, says Malhotra.

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SCIT to offer its coveted MBA programmes through SNAP 2023 – Hindustan Times

India, 11th October 2023: Symbiosis Centre of Information Technology (SCIT), a well-known constituent of Symbiosis International (Deemed University), is known as one of the leading institutes for technical and business education in India. The institute has invited applications for its two tech-centric management programmes, MBA in IT Business Management (ITBM) and MBA in Data Sciences and Data Analytics (DS & DA) via SNAP (Symbiosis National Aptitude Test) 2023. The registration process for SNAP 2023 closes on November 23, 2023, and the registration for SCIT closes on December 21, 2023. Candidates can begin this journey by completing SNAP registration followed by successful SCIT registration at the official SCIT registration website.

Welcoming the new cohort, Dr. Dhanya Pramod, Director, SCIT said, SCIT's MBA programmes prepare candidates to be tech-savvy business leaders in today's technology-driven business landscape, spanning e-commerce and finance. The curriculum focuses on honing analytical skills to tackle industry challenges. Alongside technical knowledge, students benefit from mentorship by industry experts and a broad professional network. SCIT invites aspiring individuals to join their journey towards becoming the next generation of business leaders, combining technology expertise with a deep understanding of the business world.

In 2023, the SNAP Computer-Based Test (CBT) will be conducted on three separate dates, providing candidates with the flexibility to select the date that best suits their schedule: December 10, 2023 (Sunday), December 17, 2023 (Sunday), and December 22, 2023 (Friday). The much-anticipated SNAP 2023 examination results will be revealed on January 10, 2024 (Wednesday). To access the admit cards for the SNAP Test, candidates can log in to the official SNAP website, http://www.snaptest.org, on December 04, 2023 (Monday) for SNAP Test 1 and December 09, 2023 (Saturday) for SNAP Test 02 and SNAP Test 03. It's worth noting that the payment deadline aligns with the registration closing date of the examination.

SCIT is at the forefront of grooming future leaders for the technology-centric landscape of Industry 4.0. These programmes seamlessly blend core management principles with cutting-edge technical knowledge from disciplines such as Computer Science, cyber security, AI & ML, Data Science, and Analytics to name a few. Moreover, the curriculum is tailored to serve applications across diverse sectors, including Finance, IT, Operations, Supply Chain Management, and General Management.

To ensure excellence, SCIT has world-class facilities and robust industry connections that help candidates in the learning process. Also, the cohort gets the sought-after opportunity to be groomed by pioneering faculty members and industry leaders, graduating as industry-ready professionals with hands-on experience in essential tools like R, python, Hadoop, and MapReduce, among others.

The MBA in ITBM programme is designed for aspiring technocrats, specializing in areas such as Systems, Information Security, Digital Transformation, and Data Science. Graduates are equipped for roles in Functional Consultancy, Product Management, Cybersecurity consultant, Business Development, ERP Implementation, and more. The SCIT programme prepares students to excel in a tech-driven business world, where technology is the key to solving problems and optimizing operations. Similarly, the MBA (DS & DA) programme is tailored to equip management professionals possessing a strong scientific and analytical inclination with the skills to address data-driven, real-time challenges prevalent in today's dynamic landscape. It aims to prepare candidates for various significant roles within the burgeoning Data Sciences and Analytics sectors, aligning them with the demands of the industry.

In conclusion, SCIT, an integral part of Symbiosis International (Deemed University), stands as a beacon of excellence in grooming future leaders for the technology-centric landscape. The institutions MBA programmes adeptly blend technical acumen with management expertise, positioning graduates as formidable contenders in the ever-evolving world of IT, Data Science, Systems, and beyond. With robust industry connections and a dedicated faculty, SCIT is the launchpad for aspiring professionals poised to make a profound impact.

For more information visit: SCIT Pune

Disclaimer: This article is a paid publication and does not have journalistic/editorial involvement of Hindustan Times. Hindustan Times does not endorse/subscribe to the content(s) of the article/advertisement and/or view(s) expressed herein. Hindustan Times shall not in any manner, be responsible and/or liable in any manner whatsoever for all that is stated in the article and/or also with regard to the view(s), opinion(s), announcement(s), declaration(s), affirmation(s) etc., stated/featured in the same.

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Upskilling accountants in data should be preferred option for firms … – Accountancy Age

Accountancy firms should aim to upskill workforces in the face of data skills shortages, according to Clare Walsh, director of education at the Institute of Analytics (IOA).

Data consultancy group Dufrain released its 2023 state of data analytics report, revealing that 60% of corporate leaders said the biggest challenge to their business was recruiting individuals with the necessary data skills and talent.

You dont need to train accountants as much compared with if you hire a data analyst. Youve got to train data analysts on how accountancy works and how your business works, you do have to train accountants but on different things, says Walsh.

Its way easier for an accountant to upskill in data than for a data analyst to learn accountancy.

David Whitson-Black, global head of talent and performance at Azets says they have been looking at external training providers to help with its upskilling regime.

Were looking at where we have gaps and where we could have gaps and we have to fill those by looking at how we upscale our people internally.

Additionally, Azets accountancy students are currently receiving education in data analytics and data science as part of their ongoing qualifications.

We have people at the earliest stages of their career going through that. We have people who are perhaps a bit more advanced doing some data specific roles or working with technology more prominently, and were upscaling them.

Currently, Azets are acting on a case-by-case basis regarding its recruitment of data specialists, but this could change going forward, states Whitson-Black.

The American Institute of Certified Public Accountants (AICPA) released a survey in March 2023 on how accountants could increase their readiness for the profession. According to the poll, 99% of accounting firms cited data analysis, tools, and techniques as a valuable (either very valuable or somewhat valuable) skill for new hires.

Whitson-Black says that, for Azets, while there is more of a focus in hiring data specialists, firms find it difficult to anticipate the extent to which data specialists will play a significant role in the future.

On one hand, youve got jobs already that require you to have those data skills and we will actively look for those skills.

The other side is where we know that those skills will be beneficial to you, and we know that it will help us in our endeavours, but were not quite at that stage yet where its already a prominent part of your role.

Considering the substantial experience that accountants already possess in handling large data sets, the IOAs Walsh believes it would not take too much training for them to start looking at predictive analytics.

We can get them doing some more exciting things with different types of data analytics, and graph data is not a big step on for accountants which can show them some amazing things.

Accountants are also phenomenal at understanding the businesses that they work for and its regulatory environments. All these areas are where our data analysts are quite poor in.

Walsh argues that an accountant who comprehends both the financial landscape and regulatory requirements, while also excelling in data management and analysis, possesses formidable capabilities.

According to a study conducted by 365 Data Science Ltd, the typical data scientist tends to stay in their position for approximately 1.7 years on average. This is one of the biggest risks of hiring a pure data scientist, stated Walsh.

This type of data proves data specialists are needed, but it is now up to the profession to provide fulfilling roles for them, Whitson-Black argues.

If someone who has really beneficial skills is coming into a business that isnt ready for them then theyre not going to be able to give their full experience and their full self to that role. So how fulfilling is that going to be for someone who has all of these skills but cant use them.

I would say attrition high in that area because they want to go somewhere else to get fulfilment.

To access a free webinar provided by the Institute of Analytics on upskilling for accountants, please click here

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4 Steps To Face The Challenges Of Integrating AI In Your Medtech – Med Device Online

By Thophile Mohr Durdez, chief executive officer and cofounder, Volta Medical

In Season 2, Episode 18 of The Big Bang Theory, the guys try helping Penny expand the market for her hand-crafted barrettes by developing a product line for men. When Penny questions why men would be interested in sparkly, floral hair clips, Howard suggests making the barrettes Bluetooth enabled and Sheldon agrees, noting that everything is better with Bluetooth. As silly as that might seem, society seems to have arrived at a similar juncture with respect to its obsession with anything and everything that uses artificial intelligence-based technology. Seemingly overnight, AI has become personal assistant, menu planner, and fitness coach for individuals. The Screen Actors Guild and Screen Writers Guild went on strike this summer, in part, over concerns about the use of AI instead of human talent in Hollywoods creative processes. While the latter ended in September, the former is ongoing. Companies across diverse sectors are using AI-based technologies for enhanced data analytics and knowledge workers are exploring how generative AI tools, such as ChatGPT, can streamline research tasks and development of written materials.

In the medical technology arena, the safe and effective integration of AI into medical devices demands a more deliberate, measured, and purpose-driven approach. Rather than looking for any and every opportunity to deploy AI, device innovators need to identify unmet needs in which AI can be used to analyze past outcomes and incorporate new disease knowledge to predict a clear path toward better health outcomes. Lets take a look at the four steps to follow.

Medical device innovators seeking to deploy AI in meaningful ways need to focus on disease indications and medical procedures in which data analytics can provide improved outcomes compared with what the human mind, eye, and hand can achieve. For example, AI is being used in screening and diagnostic settings to improve detection of polyps and adenomas during colonoscopy and identification of breast tumors in mammography images. In these settings, AI systems enable rates of detection that are superior to what the human eye can achieve, even when that eye resides in the head of an experienced radiologist or gastroenterologist.

While there are many applications of AI in the diagnostic arena, its use in the therapeutic arena has just started emerging. Logically, the first applications of AI in the medical device industry have been developed in highly digitalized specialties and intervention types. For instance, it is being used to improve radiation therapy contouring the precise mapping of where and how much radiation is delivered to a target area. This increases the safety and efficacy of radiation therapy by enabling delivery of higher radiation doses to the entire tumor while sparing adjacent healthy tissue. On top of this, AI-enabled radiation delivery devices allow radiation to be used in the treatment of additional tumor types and in patients who would not previously have been candidates for treatment.

Cardiac electrophysiology is yet another specialty in which AI enabled systems are being used to improve outcomes for patients undergoing catheter ablation. In traditional ablation procedures, target tissue is identified based on data provided from multiple diagnostic outputs including fluoroscopy, ultrasound, electrical conduction maps, and electrograms (electrical measurements made directly on the heart rather than through the skin). Here again, the development and dissemination of AI technologies are highly facilitated by the huge amount of digital data that is being produced during each cardiac ablation intervention. As of today, extracting the various data generated during a single procedure would require 20 to 50 Gb, depending on the length of the procedure. While physicians are highly trained to interpret electrograms to help guide them in the selection of target tissue, the interpretation increases in complexity with more advanced disease states. AI-based systems can perform calculations more rapidly and have a more comprehensive approach, learning from a greater variety and number of cases than any single electrophysiologist has experienced. In these examples, physicians are overwhelmed by a large amount of data coming from multiple widespread acquisition systems. In both cases, the highly digitalized environment is suitable to AI development and dissemination. As a result, AI improves radiation therapy and cardiac ablation outcomes by aiding physicians in making more informed decisions about which tissue to target.

Importantly, use of these systems can help to reduce the time and associated resources needed for each patient without sacrificing quality by potentially reducing intervention time and reducing the number of disease recurrences. This is an important advantage at a time when health professionals are facing high levels of burn out, hospitals and care centers are facing unprecedented staffing shortages, and there is growing recognition of the need to address entrenched health inequities by making quality care accessible regardless of where a patient is treated.

Medical device innovators seeking to ensure effective deployment of AI to address unmet clinical need should work collaboratively with physicians to develop AI-enabled devices that meet specific clinical needs and eliminate obstacles that simply cant be overcome using the human brain alone. Obviously, as for other medical device technologies, end users are best suited to identify tasks and procedures for which they need additional support and thereafter to specify the user requirements. But what about analytical tasks that they have learned to perform over the course of their career but are unable to describe? This is where AI may play a role due to its ability to learn from human expertise. As an example, while we can all recognize the faces of our friends, we are often not able to provide a reliable description that would enable someone else to recognize the individual we know so well. In this context, clinicians also can identify procedures in which AI has the potential to enable improved clinical decision-making. The AI-enabled cardiac ablation noted above was developed in collaboration with three electrophysiologists to address their real unmet needs. Designing devices based on user need is the best way to both make meaningful improvements in health outcomes and ensure a market for your new AI-enabled device.

After identifying a setting in which the use of AI can enable improved outcomes, device innovators need to focus on curating, annotating, and sometimes extracting the machine learning training and testing data that enable optimal device performance. This is why collaboration with expert physicians is essential. The systems in the examples above are trained using hundreds of thousands of data points collected from previously treated patients. The ability of these systems to learn is entirely dependent on the quality of the training data. For example, using training data that inaccurately categorizes a mammography finding as malignant when it is fact benign will train your system to make the same mistake. Consequently, training data must be gathered from reliable sources for which there is high confidence that annotations are correct, and the data sets are complete. Device innovators willing to develop AI-enabled systems will need to invest a significant amount of resources in engaging with physicians and designing the tools needed to collect, curate, and annotate data. Making sure that physician experts will be able to dedicate their time to the project despite their overloaded agendas is a critical challenge for success in such collaborations. When curating training or testing data, device innovators also need to be conscious of inherent inequities and biases that may exist within the data and associated annotations and take steps to ensure that the training and validation sets accurately represent the intended population and use for which the device is designed.

While AI algorithms can be designed for high performance, they also often are viewed as black boxes by those outside the realm of data science. This may make it difficult for people to understand and thus trust how they work. Robust validation processes can address this concern. Consequently, once an AI-enabled device has been designed and trained, medical technology companies should conduct a rigorous and extensive validation on the bench and/or in a clinical setting.

The validation process should be designed to demonstrate that the levels of safety and efficacy are in accordance with regulatory claims. Whether it is to demonstrate superiority or non-inferiority, this validation process often requires randomized controlled clinical trials to provide robust clinical validation of the novel technology. These trials should be designed to clearly show that the AI-enabled device provides tangible benefit to users and patients. This may be achieved by demonstrating superiority on a clinically relevant endpoint, such as improved diagnostic sensitivity and specificity, reduction in disease symptoms/recurrence, or improved overall/disease-free survival. It may also be achieved by demonstrating that the AI enhanced system can reduce per-procedure or overall healthcare costs, ease patients treatment burdens (shorter/fewer treatments), or increase access to care compared with standard approaches.

Finally, companies developing AI-enabled medical technologies must also be able to articulate a business value proposition that resonates with traditional medtech investors (who may be less familiar with AI-based technologies) and traditional tech investors (who may be less familiar with the longer development timelines and evolving regulatory requirements for AI-based medical devices). They must also be able to address the real concerns that patients may have about the use of AI in their medical care as well as the potential use of their own health data to train future medtech innovation. Both audiences deserve clear and transparent communication regarding the potential risks and benefits of both the AI and medtech components of new products and services.

Combining artificial intelligence with human compassion brings together the best that technology and humanity have to offer improving health outcomes. While focusing on the machines, medtech innovators can never lose sight of the parents, children, friends, and co-workers who look to them for hope of a longer and healthier life.

About The Author:

Thophile Mohr Durdez is co-founder and CEO of Volta Medical, a data-inspired electrophysiology company using artificial intelligence, which was founded in 2016 with three cardiac electrophysiologists in Marseille, France. Mohr Durdez and his team work to improve cardiac arrhythmia management by developing data-driven medical devices trained on large databases of procedural data.

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How to Plot Graphs Using the DiagrammeR Package in R – Built In

DiagrammeR is a package in R that is used to create graphs and flowcharts using Graphviz and Mermaid. This can be useful for displaying data. In this article, well cover how to create graphs using the grViz() in the DiagrammeR package, including:

DiagrammeR is a package within htmlwidgets for R. Its used to generate graphs using Graphviz and Mermaid library.

In order to install DiagrammeR to create plot graphs, there are two steps. First, youll create an R Markdown document, which will set the output to HTML. Then, youll install the DiagrammeR package. Heres how:

In RStudio Go to File New File R Markdown. Then, give the title and select the output format as HTML.

The R Markdown document will have the title and other information at the top.

Below that we will have R chunks which have delimiters ```{r} and ```.

When you render the R Markdown document, it will run each chunk and embed the results beneath the code chunk or you can run each code chunk and the result will be displayed for that code chunk.

We can knit the R Markdown document to HTML output.

Go to Packages Install on the right side of the RStudio and enter the package name DiagrammeR and click Install.

And thats it, youve installed DiagrammeR.

An error occurred.

More on RThe Ultimate Guide to Relational Operators in R

DiagrammeR package uses the grViz() function for Graphviz graphs. Lets see how to use grViz() function to create graphs.

While creating a graph, we have to mention the layout, node attributes, edge attributes and connection.In the graph below, green color circles are called nodes. A=15, B=10, etc. are the labels of the nodes. The-> arrow mark is known as the edges. Heres how to set the node, edge attributes, label and substitutions and connections required to create it.

The default layout is the dot.

Include the node shape, color, style and width, etc. that you want for your graph.

Detail your edge attributes. These include color, arrowhead, arrow tail, pen width and direction, etc.

We have to include the label and substitution for the node.

@@1 -> is the substitution.

Here,1 is the footnote number. The value 15 will be substituted in place of 1 when the graph is rendered.

In my graph A is connected to B and C. B is connected to D and C is connected to E.

Lets create another graph where nodes A and C are in the same rank and B, and E are in the same rank.

If we mention rank=same {A->C}, A and C nodes will be placed in the same line.

Lets create a node from the down arrow of another node.

Heres how to create the graph mentioned above.

First, we have to create a blank node.

After that we can make the blank node label = and the width and height to be very small (0.01).

The next step is to remove the arrow mark. It can be removed by mentioning the edge attribute dir=none.

Select the option knit -> knit to html.

The whole R Markdown document will be rendered into an HTML document.

If you dont want the r-code to be displayed in the HTML output, mention echo =False in the r-chunk code.

More on Data SciencePython Data Visualization With Seaborn & Matplotlib

DiagrammeR is a package in R that allows the creation of graphs using Graphviz and mermaid styles. In this article, we have covered using Graphviz style. We have covered how to create nodes, labels, edges, connections and layouts for the graphs using the grViz() function in the DiagrammeR package. We have also covered node attributes, edge attributes, labels and their substitutions. We have covered only the dot layout, which is the default layout in this article.

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Cybersecurity engineers are among the highest paid in the growing … – Fortune

BY Preston ForeOctober 11, 2023, 5:31 PM

Photo illustration by Fortune; Original photo by Getty Images

Cybersecurity remains one of the fastest-growing industries in the world. With hundreds of thousands of open positions in the United States aloneand salaries averaging six-figuresnow is no better time to learn more about cybersecurity and potentially enhance your career.

The industry is predicted to grow by 32% over the next decade, according to the U.S. Bureau of Labor Statistics, and information security analysts earn $112,000 annually on average.

But within the realm of the cybersecurity industry, engineers are among the top-pay positions, based on tech staffing agency Mondo data cited by the University of San Diego.

The school is home to one of the nations few cybersecurity programs specific to engineering.

Haydar Majeed is a professor of practiceand alumat the University of San Diegos master of science in cybersecurity engineering program.

His journey in cybersecurity began working for the U.S. military in Iraq focusing on language as well as encryption and decryption. He says he in part chose to come to San Diego due to its hands-on learning with a virtual cyber lab that simulated real-life offensive and defensive technologies.

Additionally, the programs designation as a National Center of Academic Excellence in Cybersecurity by the National Security Agency (NSA) sealed the deal for Majeed. Hundreds of higher education institutions have the distinction.

He says one myth of cybersecurity programs is that you need to know a ton of math or hacking.

We built the programand we continuously update the programto be gradual. So, well walk you in regardless of your background, Majeed tells Fortune. So whether youre technical, non technical youre gonna find the program actually fitted to who you are.

Cybersecurity is important since it is embedded and is essential to most industries from banking to law to marketing, he adds. After graduating from San Diego, he founded his own cybersecurity firm, which was later acquired.

An additional success story, Majeed notes, is that one student in the San Diego program went from earning less than $50,000 a year as an Uber driver to working at a data analytics company with a $150,000 annual salary.

For Michael Stiber, professor at the University of Washington Bothell, teaching cybersecurity is about preparing students for technologies and challenges that dont yet exist.

New technologies like AI are not only opportunities to make systems more robust against attack; they are also tools that can make the bad guys jobs easier, Stiber tells Fortune. Cybersecurity is our defense against such things and cybersecurity professionals are the digital makers and first responders keeping our increasingly digital lives safe.

And while there are many facets ofand ways to studycybersecurity he says individuals should weigh their own background, life commitments, and career objectives to determine whats best for them.

If the intersection of engineering and cybersecurity fits that mold for you, Fortune has saved you some time and compiled a list of just some of the U.S. universities with masters programs in cybersecurity engineering.

Duke University

University of Maryland

University of San Diego

University of Southern California

University of Washington at Bothell

Washington University in St. Louis

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Buy Gold And Bitcoin: Cataclysmic U.S. Dollar Crisis Triggers Serious Recession Warning That Could Cause Ethereum, XRP And Crypto Price Chaos – Forbes

BitcoinBTC, ethereum, XRPXRP and other major cryptocurrencies have struggled to hold onto their early 2023 gains recently as the U.S. wages "war" on crypto.

Subscribe now to Forbes' CryptoAsset & Blockchain Advisor and successfully navigate the bitcoin and crypto market rollercoaster ahead of next year's historical bitcoin halving!

The bitcoin price, down sharply from its late 2021 highs, rebounded through the first half of this year, boosting the likes of ethereum and XRP, but has dropped back despite soaring expectations that a $17.7 trillion earthquake is on the horizon.

Now, after a shock leak blew up the mystery of bitcoin's anonymous creator Satoshi Nakamoto, billionaire hedge fund manager Paul Tudor Jones has warned the "cataclysmic" fiscal situation in the U.S. means he's stockpiling bitcoin and gold.

Bitcoin's historical halving that's expected to cause crypto price chaos is just around the corner! Sign up now for the free CryptoCodexA daily newsletter for traders, investors and the crypto-curious that will keep you ahead of the market

"Its a really challenging time to want to be an equity investor and in U.S. stocks right now," Jones told CNBC. "Youve got the geopolitical uncertainty ... the United States is probably in its weakest fiscal position since certainly World War II with debt-to-GDP at 122%."

Jones, the legendary hedge fund manager who lit a fire under bitcoin when he shocked markets in May 2020 by calling the cryptocurrency the fastest horse to beat inflation, has renewed his commitment to bitcoin and gold in the current geopolitical and marco environment.

"I can't love stocks," he said, "but I love bitcoin and gold. I think they probably take on a larger percentage of your portfolio than they would [usually] because were going to go through both a challenging political time here in the United States and weve obviously got a geopolitical situation"referring to the outbreak of war between Israel and the Palestinian militant group Hamas and the looming 2024 U.S. presidential election.

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Jones went on to voice fears others have raised that the U.S. could be headed into a "vicious circle" of "higher interest rates cause higher funding costs, cause higher debt issuance, which cause further bond liquidation, which cause higher rates, which put us in an untenable fiscal position."

In early 2022, the the Federal Reserve began hiking interest rates at a historic clip in order to bring soaring inflation under control, creating what some fear could become a counter-intuitive "death spiral" for the U.S. dollar that ultimately pushes up the bitcoin price.

Last week, Jefferies' analysts warned the Fed could be forced to restart its money printerpotentially collapsing the U.S. dollar and fueling a bitcoin price boom to rival gold.

I am a journalist with significant experience covering technology, finance, economics, and business around the world. As the founding editor of Verdict.co.uk I reported on how technology is changing business, political trends, and the latest culture and lifestyle. I have covered the rise of bitcoin and cryptocurrency since 2012 and have charted its emergence as a niche technology into the greatest threat to the established financial system the world has ever seen and the most important new technology since the internet itself. I have worked and written for CityAM, the Financial Times, and the New Statesman, amongst others. Follow me on Twitter @billybambrough or email me on billyATbillybambrough.com.Disclosure: I occasionally hold some small amount of bitcoin and other cryptocurrencies.

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Buy Gold And Bitcoin: Cataclysmic U.S. Dollar Crisis Triggers Serious Recession Warning That Could Cause Ethereum, XRP And Crypto Price Chaos - Forbes

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Bridging the gap: The Gensler controversy and the path to digital … – CryptoSlate

After severe boom and bust phases, how can we gauge the importance of blockchain-based assets? Will they interface with daily life or remain on the margins of regulatory containment?

Above all else, one must notice that digital assets represent the next evolutionary step brought about by the internet. The World Wide Web decentralized information sharing, rendering gatekeepers into redundant friction points.

By the same token, blockchain technology decentralized financial assets or is in the process of doing so.

From time immemorial, the core problem of finance centered around methods to keep an account of wealth. Either governments or banks have been responsible for maintaining the record of who owns what assets and who transfers those assets to whom.

This methodology became entrenched in the absence of alternatives, making money the subject of manipulation, eroding the potential to save, and forcing consumers to look for alternative mechanisms to save their purchasing power. One of these corrosive manifestations is setting the inflation target at 2% without having the ability to explain the reasoning behind it coherently.

Bitcoin broke through this historical barrier as a product of a publicly distributed ledger blockchain. The combination of a distributed ledger and a peer-to-peer verification/mining network made Bitcoin the vanguard of a truly decentralized, permissionless financial system.

Everything else that followed was built on this concept. At the core, BTC token is a smart contract, interfacing with other smart contracts, their authenticity secured by the blockchain network. In turn, any existing logic can be tokenized and secured on other blockchains using similar authentication techniques:

The common theme is that blockchain enables the expression of wealth in tokenized form to be accessed permissionlessly without third-party interception. Alongside the stock market, a permissionless crypto market emerged, with all its benefits and flaws. In the transition between TradFi and DeFi, stablecoins have proved especially popular.

Anchored to fiat currency value, these tokens are poised to become a major demand source for US treasuries monetized government debt. Already, the largest stablecoins, USD Coin (USDC) and Tether (USDT), back their tokens with billions in short-dated US treasuries. The latest stablecoin newcomer, PayPal USD (PYUSD), does the same.

The value of tokenized wealth then becomes an extension of the existing central banking system, as noted by Federal Reserve Chair Jerome Powell in June 2023:

We do see payment stablecoins as a form of money, and in all advanced economies, the ultimate source of credibility in money is the central bank.

Likewise, the testament to the power of smart contracts is expressed through upcoming central bank digital currencies (CBDCs). The question is not whether the blockchain revolution will fizzle out but what form it will take.

As the discourse around the future trajectory of digital assets deepens, many traders find it imperative to manage day trading alongside full-time commitments to stay ahead, highlighting the rapid evolution and depth of todays financial landscape.

Will decentralized and permissionless digital assets be suppressed in favor of centralized and permissioned digital assets? Will the informal taxation through inflation continue unimpeded? Will smart contracts in CBDC form transmogrify beyond mere payment tools into something else?

This is the current powerplay landscape of global finance. Making the banking system redundant, both central and commercial, cannot go without friction. The present Securities and Exchange Commission (SEC) Chair Gary Gensler best exemplifies that friction.

Following the blockchain (r)evolution, two types of frictions emerged:

One friction rubbed against the other, or more precisely, fed into the other.

When something is of a digital nature, permissionless to boot, it becomes effortless to copy. But that copying often came with a deceptive, scammy tweak. In the fog of thousands of altcoins and relentless crypto scams/exploits that followed, a justified narrative emerged:

This asset class is rife with fraud, scams and abuse in certain applications. We need additional congressional authorities to prevent transactions, products and platforms from falling between regulatory cracks. Gary Gensler, SEC Chair, in August 2021

Having been on the job for three months, this set the stage for DeFis interface with TradFi. At the Aspen Security Forum that month, Gensler laid the groundwork for counteracting the new digital asset class. Interestingly, he opened his speech by recognizing Satoshi Nakamotos historic contribution:

But Nakamoto had solved two riddles that had dogged these cryptographers and other technology experts for a couple of decades since the dawn of the internet. First was how to move something of value on the internet without a central intermediary

And move something of value on the internet without a central intermediary and relatedly, how to prevent whats called double spending of that valuable digital token.

Yet, to place the emerging tokenization sector under the federal fold, Gensler framed it as a threat to national security. One that involves money laundering, tax compliance, sanction. Genslers solution was to exercise the Investment Company Act to designate nearly all cryptocurrencies as securities retroactively.

Well, its basically an anticipation of profits on the efforts of the sponsor or others and so forth. And that is It depends on the facts and circumstance, but that is the story of a lot of these circumstances.

Without any crypto legislation, the SEC ruled by enforcement on that basis. Genslers framework kicked off with Coinbase. A month after the Aspen speech, Coinbase CEO Brian Armstrong publicly put into question SEC conduct.

The gist is that the SECs mission to protect investors, under heightened transparency, turned into obfuscation and selective targeting to set pseudo-crypto law.

The digital asset space underwent major contraction within two years following Genslers pivotal Aspen note. The SEC sanctioned multiple crypto exchanges and digital asset protocols as unregistered securities brokers and clearing houses.

During the period, the SECs investor protection mission failed spectacularly, as evidenced by the multi-billion losses of funds in FTX and Celcius, to name a few. Some lawmakers had noticed this pattern, referring to Gary Gensler, SEC Chair:

This guy in my mind, is a bad-faith regulator. Hes been blindly spraying the crypto community with enforcement actions while completely missing the truly bad actors. Congressman Tom Emmer, House Majority Whip

Soon after, together with Warren Davidson, Emmer introduced the SEC Stabilization Act in order to remove Gary Gensler following his long series of abuses. In addition to displacing Gensler, the act would limit commissioners to only three seats per political party at any given time. Purportedly, this would prevent the infusion of political agendas into SECs operations.

In the meantime, as the SEC filled the legislative void, the watchdog agency suffered serious legal pushback. The latest legal defeat comes from the federal judge denying SECs appeal in the landmark Ripple Labs case that affirmed XRP as not a security.

If the case had gone into the other direction, the SEC wouldve drastically expanded its leeway to curtail the digital asset class. Moreover, the agency lost the case against Grayscale Investments regarding the refusal to convert Grayscale Bitcoin Trust (GBTC) into an ETF.

The SECs refusal to approve a single Bitcoin ETF has been another signal of bad-faith acting. It has been speculated that legitimizing Bitcoin in this manner would open capital floodgates too much before the digital class arena is under firmer federal oversight.

Another such signal came from the historic FTX crypto fraud involving Sam Bankman-Fried (SBF). The incarcerated ex CEO met with Gensler on multiple occasions, yet failed to notice any red flags. Congressman Tom Emmer suggested that this may have been a ploy to place FTX as the designated dominant market maker in the crypto space.

The connection there is circumstantial for the time being, based on Gary Gensler serving as MIT lecturer under the department of Glenn Ellison. He is the father of Caroline Ellison, SBFs ex partner and Alameda Research CEO.

Alameda served as a slush fund for FTX to funnel customer assets. Caroline Ellison had pleaded guilty to seven counts of fraud in December 2022. It is speculated that her cooperation will secure SBFs conviction in the upcoming trial.

Regardless of how one perceives SECs behavior so far, the agency acted without any crypto legislation, positive or negative. Therefore, to stabilize the crypto market long term with clear rules of engagement, bipartisan effort needs to take place.

This comes from the Bipartisan Blockchain Innovation Project (BBIP). The non-profit organization is co-chaired by Congressman Tom Emmer (R-MN) and Congressman Darren Soto (D-FL).

BBIP aims to both educate lawmakers and to craft a legislative framework that supports the growth of the blockchain industry in the United States. BBIPs work has resulted in multiple bill proposals:

However, as none of the bills have passed as laws, it is unclear if education is the deciding factor in crypto legislation, or is it a matter of timing and politics.

It is safe to say that US lawmakers have been dragging their feet when it comes to setting the rules for the digital asset ecosystem. As the SEC took the steering wheel, long-standing FinTech hubs, from Singapore and Hong Kong to Abu Dhabi, have taken advantage of this.

This is best exemplified with the US-based stablecoin (USDC) issuer Circle. After the SEC charged Binance for multiple violations in June, including for trading Binance USD (BUSD) stablecoin, Circle CEO Jeremy Allaire argued that stablecoins should be exempt from nearly everything is a security SEC onslaught:

The SECs claim that Binance offered and sold its competing stablecoin as an unregistered security raises serious legal questions affecting digital currency and the U.S. economy more broadly. Circles amicus brief to the SEC

As tokenized dollars, stablecoins are the most popular digital asset for daily global transactions. Yet, the off-shore Tether issuer of USDT enjoys the largest capitalization at $83.4 billion, out of which $72.5 billion is backed by US treasuries. This is more than entire countries hold, from Mexico and Australia to Spain and UAE.

For comparison, the US-based Circle stablecoin issuer of USDC has a modest $25.2 billion market cap.

In other words, an offshore company utilizes the very currency the SEC is indirectly protecting as the arm of the central banking system. Therefore, the SEC created such restrictive conditions that going fully offshore is a better bet than enjoying the SECs protection of capital markets.

If this continues, the US is poised to oust the digital asset market via the deadly combo of legislative inaction and regulatory over-action.

Blockchain hype birthed countless scams, yet the foundation stands on firm legs. This is evidenced by blockchain/smart contract application in the central banking system itself upcoming CBDCs.

Because blockchain (r)evolution came from the private sector, spearheaded by Bitcoin, it took TradFi off guard. Once it became clear that digital assets are only poised for growth, regulatory mechanisms sprung into action.

And they had a good reason to do so, amid regular crypto scams. But there is little evidence for beneficial regulatory protection to be found. If anything, regulatory overreach appears to have designated the US market as too burdensome and risky, further pushing digital assets into the gray zone.

For now, the digital US market is running on fumes of its depth, but how long can this last until advantage is permanently lost?

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Bridging the gap: The Gensler controversy and the path to digital ... - CryptoSlate

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The Environmental Debate and Its Impact on Bitcoin’s Adoption – Tribune Online

Introduction

In recent years, Bitcoins meteoric rise has sparked intense debates on various fronts, with the environmental impact being one of the most contentious topics. As the world becomes increasingly concerned about climate change and sustainability, the environmental implications of Bitcoin mining have come under scrutiny. This article explores how the ongoing environmental debate is influencing the adoption of Bitcoin and shaping the future of the cryptocurrency landscape. To navigate the financial implications of Bitcoins adoption within the environmental context, a visit to the Immediate Alpha official site can provide essential trading perspectives. Start trading using pro level trading options!

The Rise of Bitcoin and the Emergence of Online Platforms

Bitcoin, the pioneering digital currency, emerged in 2009 through the efforts of an anonymous individual known as Satoshi Nakamoto. Over the years, it has experienced remarkable growth in both value and popularity, drawing the attention of investors and traders from various backgrounds. One of the platforms that played a pivotal role in the widespread acceptance of Bitcoin and other digital assets is an online trading platform recognized for its user-friendly interface and secure transactions. Through this platform, individuals can effortlessly engage in buying, selling, and trading various digital currencies, thus contributing to the overall expansion of the digital currency market.

The Environmental Concerns Surrounding Bitcoin Mining

While Bitcoins success has been impressive, it has not come without consequences. Bitcoin mining, the process by which new Bitcoins are created and transactions are verified, requires massive amounts of computational power. This process is energy-intensive and relies heavily on fossil fuels, leading to significant carbon emissions and contributing to environmental degradation. As a result, environmental activists and experts have raised concerns about the ecological footprint of Bitcoin and its impact on the planet.

A Clash of Ideologies: Environmentalists vs. Crypto Enthusiasts

The environmental debate surrounding Bitcoin has given rise to a clash of ideologies between environmentalists and crypto enthusiasts. Environmentalists argue that the energy-intensive mining process contradicts the global efforts to combat climate change and transition towards renewable energy sources. On the other hand, crypto enthusiasts contend that the traditional financial system also consumes substantial energy and that the environmental impact of Bitcoin is often exaggerated. This ideological divide has added a layer of complexity to the broader debate on the adoption of Bitcoin.

Green Initiatives and the Search for Sustainable Solutions

Amid mounting concerns about Bitcoins environmental impact, some within the crypto community have started exploring green initiatives and sustainable solutions. One such approach is the integration of renewable energy sources into the mining process, reducing the reliance on fossil fuels. Several mining farms have emerged that run on hydroelectric, solar, or wind power, aiming to make Bitcoin mining more sustainable. While these initiatives are commendable, their widespread adoption is still in its early stages.

Regulation: Balancing Innovation and Environmental Responsibility

As the environmental debate intensifies, regulators around the world are paying closer attention to the cryptocurrency market. The potential environmental risks associated with Bitcoin mining have prompted discussions about implementing regulations to ensure greater accountability and responsibility within the industry. Striking the right balance between fostering innovation and safeguarding the environment remains a significant challenge for policymakers.

The Influence on Institutional Adoption of Bitcoin

The environmental debate has had notable effects on institutional adoption of Bitcoin. Some large corporations and institutional investors have expressed concerns about associating themselves with cryptocurrencies that have a perceived negative environmental impact. Consequently, some institutions have hesitated to invest in or accept Bitcoin as a valid payment method. On the other hand, there are also companies and investors who see the potential for greener innovations and view Bitcoin as an essential part of their future investment portfolios.

Educating the Masses: Building Awareness and Responsibility

As the environmental debate continues, building awareness and promoting responsibility among users and investors have become crucial. Educational campaigns about the environmental impact of Bitcoin and the importance of sustainable practices are essential to bring about positive change. Moreover, it is vital for individuals to carefully consider the environmental implications before engaging in Bitcoin transactions.

Technological Innovations: Seeking Eco-Friendly Alternatives

In response to the environmental concerns, technological innovations are continuously being explored to create eco-friendly alternatives for Bitcoin mining. Researchers and developers are exploring consensus mechanisms and algorithms that require less computational power, thus reducing the energy consumption associated with mining. Such advancements could revolutionize the way cryptocurrencies operate, making them more environmentally friendly.

Looking Ahead: The Future of Bitcoins Adoption

As the environmental debate rages on, the future of Bitcoins adoption remains uncertain. While the concerns raised by environmentalists are significant, the crypto communitys determination to find sustainable solutions and the growing interest from institutional investors indicates that Bitcoins journey is far from over. Striking a balance between innovation, regulation, and environmental responsibility will be key to shaping the future landscape of cryptocurrencies.

Conclusion

In conclusion, the environmental debate surrounding Bitcoin has created a complex web of challenges and opportunities. While concerns about its ecological impact persist, the crypto communitys quest for sustainable solutions and the interest from institutional players may pave the way for a greener future for cryptocurrencies. As the world grapples with environmental issues, the dialogue around Bitcoins adoption will undoubtedly continue to evolve, shaping the path of the cryptocurrency market in the years to come.

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The Environmental Debate and Its Impact on Bitcoin's Adoption - Tribune Online

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