In a challenging bearish market, VC Spectra (SPCT) has managed to stand out, outperforming other notable tokens like THORChain (RUNE) and Solana (SOL). Even though THORChain (RUNE) is implementing new features and Filecoin (FIL) sees ongoing tech advancements, both have been experiencing a decline in their prices.
Let’s find out if the best ICO of 2023 really is the best crypto investment.
THORChain (RUNE) allowed new USD-pegged loans, which can send the token to $7.64 by January 2024.
Solana (SOL) recently launched its new Solfare 2.0 which may surge to $341.
VC Spectra (SPCT) nearing the presale end with an 862.5% ROI so far.
Experts Say THORChain (RUNE) Will Soon Rise To New Highs
THORChain (RUNE) has been on a notable uptrend, owing to its strategic initiatives aimed at enhancing its technology and protocol. Previously, on August 11, THORChain (RUNE) introduced its lending feature, allowing users to access USD-pegged TOR loans using BTC and ETH.
On August 11, THORChain (RUNE) integrated a decentralized identity provider (DID) platform, formed a strategic alliance with Zapper, simplified user engagement with the platform, and implemented it on November 26.
These strategic moves have increased THORChain’s (RUNE) adoption and subsequently propelled its price. Between August 11 and November 27, 2023, THORChain (RUNE) witnessed an impressive surge of 416%, rising from $1.04 to $5.37.
Given the growing adoption and momentum, market analysts foresee continued growth for THORChain (RUNE). Price projections indicate that THORChain (RUNE) could reach $7.64 by January 2024.
Solana (SOL) Introduced Solflare For MetaMask Wallet
In the latest Solana news, on November 22, a significant development occurred within the Solana (SOL) ecosystem. Solflare, a popular Solana wallet, introduced an exciting new feature that enables MetaMask users to seamlessly manage their Solana (SOL) portfolios directly from their existing MetaMask wallet.
The introduction of this feature by Solflare has the potential to be a game-changer for SOL crypto price, which surged by 50.8% to $43.41 on November 9 from $21.33 on October 12. Per expert predictions, a further surge in the SOL crypto price can result in a near 100x profit for investors.
As MetaMask boasts one of the largest user bases in the Web3 space, this integration is expected to generate increased interest and adoption of Solana (SOL), eventually leading to a higher SOL crypto price.
Furthermore, Solflare simplifies the user experience and opens the door to a broader audience of crypto enthusiasts, potentially fueling experts to adopt a bullish bias in their Solana price prediction. Many anticipate a new high of $341 for Solana (SOL) by November 2024, making it one of the best cryptos to buy now.
VC Spectra (SPCT) Celebrates Its New 862.5% Surge
VC Spectra (SPCT) is marking its successful presale journey with a well-deserved 10% bonus for investors, reaffirming its position as the best crypto investment in new ICOs of 2023.
This achievement is not only attributed to its impressive presale performance but also to the utility and features that make it stand out in the crowded cryptocurrency landscape.
VC Spectra (SPCT) is revolutionizing the crypto investment sphere by offering users quarterly dividends and buybacks from profits generated through a meticulously assessed portfolio of emerging blockchain startups.
Moreover, VC Spectra (SPCT) provides exclusive access to top DeFi projects during their seed/private sale phase, enabling investors to participate in promising ventures from the outset.
The presale success of VC Spectra (SPCT) can be attributed to its progressive stages, with each stage offering a higher price. As investors progress through the stages, the ROI potential increases, making VC Spectra (SPCT) an attractive investment choice.
In Stage 5, the price for SPCT is set at $0.077, representing a significant 862.5% surge since Stage 1, showcasing its substantial potential for returns. Furthermore, VC Spectra (SPCT) is topping it off by giving a 10% bonus on all deposits.
Given this track record, it’s not unlikely that VC Spectra could exceed the originally projected target of $0.080 as the presale concludes.
Learn more about the VC Spectra (SPCT) presale here:
Meme coin investing is commonly associated with huge returns like 1000x profits within no time. These expectations are not empty desires, as evidenced by currencies such as Pepe (PEPE), which skyrocketed 7,000% in a few weeks following its launch. Based on Pepe’s success, market analysts predict that a new token, Baby Doge Coin (BabyDoge), will become the next 1000x potential coin despite its present downturn.
However, in order to become a true and genuine 1000x ROI (returns on investment) token with minimal risks, projects must employ innovative market tactics that allow them to last longer in the market. For instance, Slayboy Token, a new presale opportunity, diversifies by incorporating adult entertainment into cryptocurrency. This new method undoubtedly will lead SLAY to see a spike similar to Pepe and allow its investors to become millionaires.
Pepe’s Historical Price Spike
Pepe, a cryptocurrency inspired by a popular internet joke showing a frog, grabbed the news when its price skyrocketed. Pepe skyrocketed by 7,000% in only three weeks after its April debut. According to CoinGecko, it hit a market value of $1.8 billion a month later.
What distinguishes Pepe from the crowd is its dynamic community, which has been instrumental in steering the coin’s evolution. Unlike standard token distribution techniques, Pepe gave its committed user base complete control. This one-of-a-kind strategy, along with an unrelenting development staff and ardent community support, propelled Pepe to internet meme popularity.
The crypto industry recently witnessed an unbelievable success story when a crypto trader used Pepe to turn a simple $263 investment into an incredible $13 million. Pepe’s spectacular climb since its introduction highlights cryptocurrencies’ huge potential to change financial fortunes.
Slayboy Token, like Pepe, harnesses community for token success, but with a unique strategy and potential incentives in a secure presale.
Baby Doge Coin’s Potential And 73% Drop
Baby Doge Coin, on the other hand, despite its present slump, is a coin with potential. This meme currency has dropped by 73% in the last year. With the crypto market looking up, Baby Doge has the ability to recover and maybe surpass its all-time high (ATH). The Baby Doge team is aggressively striving to grow the coin’s ecosystem, including utility items such as NFTs and gaming products. Baby Doge, according to cryptocurrency experts, can still be one of the tokens capable of producing 1000x returns in the future.
As BabyDoge focuses on the gaming industry to ensure the project’s success, Slayboy Token shifts its focus to a market where no cryptocurrency has ever ventured. Slayboy Token connects adult entertainment to cryptocurrency, allowing aficionados to earn large profits with minimal risk.
Slayboy Token’s 1000x Harbinger
While Pepe and Baby Doge Coin each have their own story, Slayboy Token stands out for its novel approach. Slayboy Token is a brand-new pre-sale opportunity that blends adult entertainment with cryptocurrency. This new take on meme coins is ready to trigger a spike akin to Pepe and could potentially turn its owners into millionaires.
Slayboy Token aspires to be more than simply a normal meme coin; it aspires to provide a unique and gratifying experience. It combines social media, content development, and decentralised adult entertainment to form a unified ecosystem. Slayboy Token stands out in today’s competitive crypto scene due to its utility inside the Slayboy Manor ecosystem. Despite regulatory and market volatility issues, Slayboy Token stresses privacy, community interaction, and improving user experiences.
The Core Of SLAY
SLAY, the native token of Slayboy Token, is more than simply a digital asset; it encapsulates the project’s main objective. SLAY is developed with a 10% community incentive, ensuring that all stakeholders benefit. This project is firmly devoted to giving back to its community in a variety of meaningful ways, encouraging participation, and harnessing innovative blockchain technology.
Forte Of Presale Crypto
Slayboy Token emerges as a leading contender in a world where meme coins have the potential to generate massive rewards. While Pepe and Baby Doge Coin had their moments, Slayboy Token’s creative approach to adult entertainment and cryptocurrency presents it as a viable 1000x presale investment opportunity for those seeking significant returns. Slayboy Token is well-positioned to follow in the footsteps of meme coin success stories like Pepe and Baby Doge Coin, potentially generating millionaires out of its early supporters, due to its diversified ecosystem, community focus, and commitment to privacy. Don’t pass up the chance to be a part of this amazing adventure with Slayboy Token.
Cryptocurrencies paint a vibrant mosaic of innovation and evolution, with each coin contributing a distinct brushstroke. In this colourful canvas, Bitcoin (BTC), Ripple (XRP), and GameStop Memes (GSM) stand out as defining elements, each weaving its tale in the dynamic world of digital currencies. From the established pioneer Bitcoin to the resilient contender XRP and the burgeoning star of meme culture, GameStop Memes, these coins epitomize diverse trends and narratives, shaping the ever-evolving crypto landscape.
Bitcoin: Surges Ahead in 2024?
Bitcoin, the stalwart of cryptocurrencies, has long dominated the market with its resilience and stability. Its established position as a decentralized digital currency contrasts sharply with GameStop Memes, a top meme coin carving its niche through a recent surge. Bitcoin, known for its mining difficulty peaks, holds the fort as the go-to crypto for many investors seeking stability amidst market volatility. Its longevity and proven track record continue to draw investors, contrasting the newer but swiftly rising GameStop Memes. The latter, emerging from the meme culture, propelled by the buzz of a financial revolution, has rapidly garnered attention.
However, while Bitcoin thrives on stability and credibility, GameStop Memes injects a sense of community-driven disruption. It symbolizes a movement rather than just a digital asset, drawing strength from a collective belief in challenging established norms. This contrast of stability versus a community-driven ethos highlights the evolution within the crypto landscape, where the demand for innovation and inclusivity is steering the conversation.
Can XRP’s Resilience Hold?
Ripple’s XRP stands as a notable force in the crypto world, showcasing a unique narrative. With signs of an 18% gain and a ‘bull flag’ pattern, XRP demonstrates its potential for upward trends and market resilience. Its focus on offering solutions for fast, cost-effective cross-border transactions sets it apart. XRP’s functionality and practicality position it as a contender in the realm of traditional finance, while GameStop Memes emerges as a symbol of community-driven change and meme culture integration within the crypto sphere.
Yet, while XRP operates within the realm of utility and traditional finance, GameStop Memes champions a different narrative. It speaks to a community’s collective strength and fosters a sense of unity through a shared vision. This emphasis on community-driven involvement and empowerment differentiates it from XRP’s utility-focused approach, outlining a vibrant and multifaceted crypto landscape.
GameStop Memes: The People’s Crypto
As Bitcoin continues its legacy as the cornerstone of cryptocurrencies and XRP stands as a symbol of resilience and utility, GameStop Memes weaves a different tale. It represents a fusion of meme culture and a grassroots movement within the crypto realm. GSM has raised now $4 million in the presales, showcasing its rapid rise and echoing the ethos of challenging established systems.
GameStop Memes’ rise signifies a shift towards community-driven participation and an inclusive approach to cryptocurrency. Its narrative isn’t solely about market gains; it’s a testament to the collective voice of individuals uniting for change. The emergence of such meme-inspired tokens underscores the evolving nature of the crypto landscape, where innovation and community involvement drive a new era of digital currencies. This newfound emphasis on community and disruption may set the stage for a more inclusive and diverse crypto ecosystem.
Diverse Paths, Singular Aspirations
In a crypto landscape marked by Bitcoin’s stability, XRP’s resilience, and GameStop Memes’ rise, each coin embodies distinct values and aspirations. Bitcoin’s enduring legacy, XRP’s functional utility, and GameStop Memes’ community-driven ethos contribute to the dynamic and evolving nature of cryptocurrencies. These diverse narratives paint a vivid picture of the evolving crypto landscape, where innovation and inclusivity drive the future.
An exploration of American economist Dennis Shen’s goal to incentivize more precise forecasting and more efficient capital markets.
Interview by Muhammad Asim
(Photo Credit: Catarina Heeckt)
Where do the shortcomings in modern economics lie? According to Dennis Shen, one significant flaw may be found in forecasting – an area in which the economics profession has consistently struggled to provide accurate predictions. When one examines the forecast assessments made by leading global economic institutions, it becomes fairly evident fairly quickly that their reliability may not live up to their esteemed reputations.
In fact, Shen argues that economic forecasts might not be any more precise than simply taking an arbitrary stab at things. This notion was famously illustrated by University of Pennsylvania researcher Philip E. Tetlock, who likened an industry of economic and financial forecasters to a group of chimpanzees randomly throwing darts at a dartboard. While this analogy may be callous and somewhat exaggerated, Tetlock’s assessment of more than 30,000 forecasts from the 1980s and 1990s revealed that professional forecasters did regrettably just barely outperform such dart-throwing chimps.
The issue of imprecise judgment especially applies to longer-run forecasting, where the economics industry appears especially in the dark. For instance, the International Monetary Fund, often considered the central bank of central banks, has a history of consistently failing to project economic downturns accurately beforehand. As a result, it has rarely provided the much-needed early warning signals for the global community. This presents consequences for human lives in the end in just how equipped governments are (or not) for crises that inevitably emerge.
Nevertheless, Shen contends that this state of affairs is not immutable and can certainly be improved on. Economic and political forecasting can be made more dependable, provided that the economics community places a greater degree of prioritization on forecasting accuracy and develops the needed infrastructure for incentivizing institutions to select more-precise analysts and systematically reward talent for producing accurate diagnoses.
Background
Dennis Y. Shen was born in the city of Ya’an of the province of Sichuan, mainland China. His father emigrated to the United States, supported by the People’s Republic of China, for a doctorate in cellular and molecular biology. It was only following the events of Tiananmen Square that Shen and his mother were allowed exit visa rights by the State, reuniting with his father in the United States several years later.
Shen’s academic pursuits led him to Cornell University in Ithaca, New York, where he read a degree in Operations Research and Engineering – concentrating in financial engineering. It was thereafter, employed at Alliance Bernstein, where he began his career as an economist.
Relocating to Europe
After relocating to London, United Kingdom, Shen completed a postgraduate education at the London School of Economics and Political Science (L.S.E.), earning his M.P.A. in International Development. This Master’s in development policy strengthened a belief in economics being a means for change.
Shen continued at Alliance Bernstein from London, where he evaluated the dynamic changes of fiscal multipliers, aiming to dispel frequent fallacies associated with an assumption of fiscal multipliers being static coefficients. His years assessing Greece and southern euro-area economies made clear to him the catastrophic consequences incomplete and inaccurate economic assumptions and policy prescriptions can have on a society.
Shen met his spouse during his time at the L.S.E., re-locating thereafter to Berlin, Germany. Since 2017, he has held the position of a senior economist at a European credit rating agency based in Frankfurt am Main and Berlin, receiving multiple Focus Economics analyst forecast awards.
Shortcomings of Economics
Over the course of his career, Shen gained an acute awareness of the shortcomings of economics. Much of economic assessment relies on guesswork, lacking the concrete laws and identities found in the physical sciences. Unlike the natural sciences, where laws hold true, economics and social sciences seem nearly expressly designed for exceptions – given an inherent reliance on human behavior. Economist predictions are often assumed to be inherently flawed, and rather than learning from the past and demonstrating constant progress, the field displays a tendency to repeat its mistakes.
In a world where sound economic judgment is so crucial for policymaking, Shen describes a question of why economic diagnostics often appear so irrational, imprecise, and short-sighted.
An Infrastructure for Supporting Better Judgment
He believes part of the solution rests in fostering greater interdisciplinary cooperation. The pioneers of economics, such as Adam Smith, David Ricardo, and John Stuart Mill, were generalists who drew from varying social sciences to bring innovation and a more holistic understanding to their pioneering contributions for economics. For modern economics, this same humility to learn from other social sciences and develop a more holistic approach might be more needed than ever.
Furthermore, Shen argues for the development of a fundamental infrastructure that encourages analysts to pursue precision of their judgments and forecasts while penalizing frequent imprecision. Such a basic performance-based system might appear obvious for any professional line of work, but Shen observes such a system of checks and balances and accountability is largely absent from economic forecasting. The field operates rather under an ‘anything goes’ atmosphere, where the accuracy of analysts’ opinions and predictions appears nearly irrelevant, despite the significant effect of such predictions ultimately on governance effectiveness and financial stability.
He gives an analogy – in an alternate domain of medicine, the accuracy of doctors’ diagnoses and prescriptions of patients’ ills may prove crucial for a given doctor’s professional standing and career longevity. But, by contrast, economic analysts can confidently make questionable predictions and offer wrongful policy prescriptions absent facing consequences or seemingly ever admitting their fault. Organizations fail to recognize the diagnostic accuracy of strong analysts and ignore discipline of many other analysts who routinely deliver imprecise judgment. Correct economic predictions are not prioritized, even for research groups whose only responsibility lies in the selling of financial assessment and forecasts.
Shen points to a counter-productive norm of economics, in which the more famous an expert or institution becomes, the more the media seeks their opinions, regardless of their record of being reliable. Paradoxically, renowned economic experts often perform poorer as concerns their precision, according to research of political scientist Tetlock. Such experts have frequently concentrated on building personal brands rather than on honing wisdom. This preference for big names over sound advice lies at the heart of the problem for the industry.
The prevalence of inaccurate economic information and advice contributes to significant inefficiencies of financial markets, as capital-market pricing is resultantly based on short-sighted economic predictions, facilitating financial-system bubbles and the disruptive corrections when false underlying assumptions are revealed.
A Path Ahead
To design a better economic-forecasting community, institutions must undertake a reimagining and rethinking of incentive structures to bring on board and support analysts who consistently provide accurate predictions and sound policy advice. Shen emphasizes that this basic step is crucial for filling a significant gap in an existing infrastructure for economics, which would bolster the reliability of forecast assessments and help distinguish valuable analysis from a sea of inaccurate and misleading information.
Shen argues that structures ought to be designed to financially compensate economic forecasting groups based on the precision of their opinions and recommendations. Initiatives like the Good Judgment Open represent a small if nevertheless important step in this direction. Additionally, while several organizations currently present forecast awards and forms of public recognition for outstanding economic evaluation, such efforts remain overly limited in scale presently and must be expanded. Therefore, there’s a need for a more comprehensive approach, such as placing greater attention on economists holding a strong record of accurate prediction, such as so-called “Superforecasters”. This approach contrasts with an existing practice of listening to those who shout the loudest or who have the most so-called renown.
Shen believes that more precise economic assessments hold the potential to enhance markets and furthermore better economic governance, making a significant difference to persons globally. A broader movement for promotion of a better economics is something we should all hope to hear more about in the future.
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These days, U.S. companies emphasize finding employees with social and emotional skills such as communication, relationship-building, and teamwork, and helping their existing team members develop those qualities.
Those efforts stem from research showing workplaces that embrace a culture of empathy are less stressful and more collaborative. Their employees also show greater resilience during challenging times, such as the COVID-19 era.
A McKinsey Global Study of employers conducted in December 2020 suggests the pandemic may have been an essential factor in company leaders realizing the importance of so-called soft skills. Executives reported many of the employee attributes they were most focused on were in the emotional/social category. More specifically, the share of employers emphasizing interpersonal and empathy skills had almost doubled since late 2019.
The push for a greater emphasis on social and emotional skills began long before the pandemic. A 2016 study by the Committee for Children stated the skills companies need the most include problem-solving, collaboration, and critical thinking, but job applicants frequently lack those attributes.
Although the recent automation boom means technological skills are highly-sought, there’s also a growing need for emotional and social skills in the workplace. A 2018 McKinsey discussion paper states the demand for those qualities in the U.S. job market is expected to increase by 26% through 2030. This is because machines can’t replicate soft skills, no matter how advanced they are.
Here’s a closer look at key emotional and social skills and why they are important in the workplace:
Self-Awareness
Self-aware individuals understand their strengths as well as their weaknesses. These people are self-confident but don’t have an inflated ego. They also realize how their behavior is likely to impact others, including their co-workers.
Self-Management
Those with this skill are good at dealing with stress, controlling their impulses, and disciplining themselves. In public-facing jobs, these individuals can be pleasant even with the most challenging customers. They are also effective at organization and goal-setting.
Social Awareness
Socially aware people respect and empathize with everyone. They can put themselves in another’s shoes regardless of differences in race, culture, religion, gender, or sexual orientation, which is crucial in today’s diverse workplace.
Relationship Skills
Relationship skills include being a good listener, communicating clearly, cooperating with others, and collaborating in groups to solve problems. They are team players, which makes them invaluable to employers.
Responsible Decision Making
This skill enables individuals to make positive choices in the workplace and elsewhere. Responsible decision-making involves analyzing a situation, identifying problems, and ethically solving them.
Do you have to be born with all these attributes, or can you learn them, even as an adult?
Research shows that social and emotional skills can be taught. For example, in a 2009 study published in the journal Personality and Individual Differences, a group of college students underwent weekly training to increase their emotional intelligence (EI). The same number of students were placed in a control group that did not receive the training.
Researchers tested both groups on their level of EI three times – before the training, just after the training, and six months later. Those who were trained showed increased EI, even after six months.
Meet Mosiah Jorge Cipriani
Mosiah Jorge Cipriani, the founder/owner of Cipriani’s Business Lab, is an expert at helping companies build a workplace culture emphasizing social and emotional skills.
“I describe myself as a people-oriented professional,” he said.
As a trainer and consultant for the Accor Academy in South
America, Cipriani moderated more than 660 hours of courses on hospitality industry topics such as culture, guest services, communications, company standards, and team building.
During his time as the front office manager at Patagonia Camp, a luxury boutique hotel in Torres del Paine, Chile, Cipriani built strong interpersonal team relations in a stressful work environment, offering support in personal conflicts.
As the night manager at Novotel, an Accor hotel in Santiago, Cipriani was selected as one of the agents responsible for leading culture change in all hotels in Chile. He significantly reduced complaints during the graveyard shift by strengthening teamwork and standardizing processes.
In 2018, Cipriani graduated from Universidad Mayor in Santiago with a degree in administration and commercial management.
Cipriani, who started his 15-year career in the hotel industry as a busboy, rose through the ranks to leadership roles.
“I’ve developed soft skills that allow me to teach and moderate a variety of topics related to hospitality,” he said. Written by Mary Pieper.
Join the MAGA $TRUMP crypto movement! Empower America, support veterans, and protect children. Get involved today!
Miami, United States — MAGA $TRUMP, the groundbreaking cryptocurrency project with a mission to strengthen America and empower its people, is making waves in the world of blockchain and crypto. This innovative venture, which stands for Make America Great Again, is uniquely dedicated to supporting former President Donald J. Trump, veterans, and the fight against child exploitation.
In just over three weeks, MAGA $TRUMP has raised over $50k for its noble causes, and the project is poised for remarkable growth. MAGA $TRUMP is the first and only cryptocurrency project that sends Ethereum directly to Donald J. Trump, demonstrating unwavering support for his political endeavors.
Moreover, MAGA $TRUMP has made significant contributions to charitable organizations, including Disabled American Veterans (DAV) and Operation Underground Railroad. The latter, inspired by Tim Ballard’s courageous work, was even featured in the hit movie, “Sound of Freedom.”
The driving force behind MAGA $TRUMP is its mission to ensure Donald J. Trump’s victory in the 2024 election, provide essential support to veterans, and protect vulnerable children. The project’s team and community believe that recent developments in Trump’s legal battles, his return to Twitter, and his direct involvement with cryptocurrency will boost the visibility and engagement of the project, leading to a substantial increase in financial support for these vital causes.
MAGA $TRUMP’s approach to building its community is both strategic and impactful. The project has partnered with like-minded influencers, such as Shawn Farash and Steven Steele, to promote and market this pioneering cryptocurrency. These influencers regularly host X Spaces sessions to engage with the community, and you can find the schedule on MAGA $TRUMP’s website.
Behind the scenes, the project is led by a seasoned cryptocurrency expert with a track record of success. This expert has previously been part of cryptocurrency teams whose token valuations exceeded half a billion dollars. The MAGA $TRUMP team has also tapped into the passion of the community, attracting additional members with cryptocurrency experience dating back to 2011. Remarkably, these dedicated team members are contributing their expertise voluntarily, underscoring their unwavering belief in the project’s potential and demonstrating significant support for its mission.
MAGA $TRUMP is not just a cryptocurrency; it’s a movement with a mission backed by a powerful community. The project’s main goals are:
Veteran Support: The project is committed to making a difference in the lives of veterans through its contributions to Disabled American Veterans (DAV).
Child Protection: MAGA $TRUMP is passionately dedicated to aiding Operation Underground Railroad in its efforts to combat child exploitation.
The MAGA $TRUMP team is particularly focused on attracting individuals who are new to the world of cryptocurrency. By introducing them to the potential and freedom that blockchain technology offers, the project aims to empower individuals and communities alike.
“We are thrilled to be at the forefront of cryptocurrency innovation with MAGA $TRUMP,” said the project’s visionary leader. “Our commitment to supporting Donald J. Trump, veterans, and the fight against child exploitation is unwavering. We believe that the blockchain can revolutionize the way individuals and communities empower themselves, and we are excited to bring this vision to a broader audience.”
MAGA $TRUMP invites you to join the movement, visit their website at https://magatrumpeth.com/ follow them on Twitter @magatrumpeth, and connect with the community on Telegram @MAGATrumpPortal. Together, we can make America great again and support essential causes that matter.
About MAGA $TRUMP
MAGA $TRUMP is a mission and community-driven cryptocurrency project dedicated to strengthening America, empowering its people, and supporting former President Donald J. Trump. The project has raised over $50k for crucial causes, including veterans’ support and the fight against child exploitation. MAGA $TRUMP is the first cryptocurrency to send Ethereum directly to Donald J. Trump and holds the position of his second-largest crypto asset.
Machine learning is increasingly playing a significant role in developing mobile applications such as ADAS, VR and AR, etc. Thus, the hardware architect has designed customized hardware for the machine learning algorithm, particularly for the neural networks, to improve computing efficiency. Still, machine learning is typically just one processing stage in a complex end-to-end application, which involves various components in a mobile system on a chip (SoC). Focusing on machine learning accelerators only loses more extensive optimization opportunities at the system level (SoC). This research paper argues that the hardware architect should expand the scope of optimization to the entire SoC. It is demonstrated by a case study on the domain of continuous computer domain vision. The image signal processor (ISP), Camera sensors, MN accelerators and memory, are synergistically co-designed to achieve the optimal system efficiency level.
Introduction
Mobile devices are currently the most prevalent computing platform and are dominated by ARM architecture. Most of the emerging mobile applications presently rely heavily on machine learning; in precise, various forms of deep neural networks (DNNs) have helped drive the progress on problems such as natural language processing and computer vision. Currently, DNN is typically executing in the cloud on mobile platforms. The trend is to move the execution of DNN from the cloud to the mobile device platforms. This shift is so significant to remove the privacy issues of the cloud offloading approach and communication latency.
The increase in the use of DNN in mobile applications places substantial compute requirement on the system on chip (SoC), which must process billions of linear algebra operations per second with a tight budget of energy. In response, a significant effort has expanded on dedicated hardware to accelerate neural network computation. Tit is borne out during the proliferation of DNN designs for accelerators (MNX), which naturally validates high computation efficiency on the order of 0.4 -3.8TOPS/W on convolutional MN inference [,13,15, 17,19]. This \\\itis multiple orders of magnitude more efficient than the typical mobile CPU implantation.
Sadly, the benefit of efficiency to the hardware accelerators is essentially a one-time improvement and is likely to saturate, while the requirement for computing of DNNs keeps increasing. Through the use of computer vision as an example, the current convolutional neural (CNN) accelerators are not able to perform the detection of objects (e.g., YOLO [16]) in real-time at 1080p/60fps. Like the frame, resolution rate and the urge for stereoscopic vision grows with VR/AR use cases emergence. The requirement for computing will continue to increase while the power budget remains constant; this leaves a large gap.
Consequently, we must change from a narrow focus hardware accelerator and start considering system-level optimization for machine learning on mobile. Expanding the scope beyond the DNN accelerator to view the whole SoC, we highlight three areas for the optimization:
System optimization: co-design of algorithms and the various hardware blocks in the system.
Accelerator interfacing: Hardware accelerators must be interfaced efficiently with the rest of the SoC to achieve the full benefit.
The software Abstractions: for the cross-platform compatibility, the details of the SoC should be abstracted using a clean API
Machine Learning on Mobile Systems.
We have already started seeing changes in mobile systems in response to the computational demand for deep learning methods. Most remarkably, the MNX components are now standard in mobile SoCs. For example, the natural engine in iPhone [2] and the HPU CNN co-processors in the Microsoft HoloLens [7]. But a significant challenge remains on how to integrate the
components of the MNX into the system. This paper identifies three aspects from both the software and hardware perspectives.
Software abstraction: the hardware of mobile SoC and the machine learning algorithm are both rapidly evolving. Therefore, presenting the programming interface that minimizes the disruption to application developers is paramount. This would provide compatibility across a wide range of Mobile Soc and make the new hardware features easy. The key to such a programming interface is an evident abstraction that allows the applications to execute jobs related to DNN efficiently on (one of many) hardware accelerators. The android NN API provides the perfect example of this principle through abstracting a standard DNN kernel, such as scheduling the execution through the abstraction of hardware layer (HAL) and convolution.
Optimized implementation for the DNN kernel is provided in the form of an ARM compute library. The library takes advantage of the recent enhanced ARM ISA that provides the new instructions for the linear algebra operation, which are essential behind DNNs, such as the new dot product instruction found on the NEON SIMD extension. Lastly, the specific IP drivers are provided and the implementation of HAL to support the android-NN API.
Accelerator interfacing: There exist two challenges in the interfacing NNX Ips to the rest of the mobile hardware system. It provides sufficient bandwidth memory for weight and activation data and provides an efficient path to offload the NN task from the CPU to the NNX. Specifically, the memory interface between the SoC and the accelerator is essential because the modern DNN typically has parameters that have large sets that demand high memory bandwidth to feed the units of the arithmetic.
The critical insight is to leverage the L3 cache in cluster CPU as the bandwidth filter and not directly interface the DRAM, and the NNX as some state-of-the-art NNX designs currently do. It is attained through the ARM accelerator Coherency port (ACP), which exists on the cluster CPU and allows the attached accelerators to load and store data directly to and from the L3. This way, the NNX also takes advantage of the L3 cache features in the CPU clusters, such as cache stashing, partitioning, and prefetching. Additionally, the Accelerator coherency port is also low latency such that the NNX and CPU can collectively work closely on data in the L3 cache.
System optimization: when adding specialized NNX hardware IP to the SoC improves the efficiency and performance of the kernel, the components of the DNN are typically only one stage in a sizeable end-to-end application pipeline. For example, in computer vision, many off/ on chips components such as sensors, cameras, image signal processors (ISP), NNX and DRAM memory have to collaborate to deliver real-time vision capabilities. The IP of the NNX constitutes at most half of the total energy/ power consumption, and there are additional opportunities in jointly optimizing the whole system.
Once the scope is expanded to the system level, new optimization opportunities are exposed by exploiting the functional synergies across different Ip blocks; these optimizations are not obvious, even though NNX is in isolation. This principle is demonstrated in the following case study.
Figure 1 Left Mobile Soc and Right Software stack components: the parts which are shaded are used in the continuous Vision task
Case Study. (Continuous Vision).
Computer vision tasks such as localization, tracking, and classification are critical capabilities for most exciting new application domains on mobile devices, such as virtual reality (VR) and augmented reality (AR). However, the cost of the modern computational computer vision CNNs far exceeds the severely limited power budget of mobile devices, particularly for real-time (example, 1080/60fps). This is true even with a dedicated CNN hardware accelerator [13,15,15,19].
Complete the real-time object detection with high accuracy on mobile devices; the idea is to reduce the total number of expensive CNN inferences through the optimization system level. This is done through harnessing the synergy between the different IPs hardware of the vision subsystem. Specifically, the image signal processor (ISP), which inherently calculates the motion vectors (MV) for use in its temporal denoising algorithm, is leveraged. Usually, the motor vector is discarded, but we elect and expose them at the system level. Instead of using the CNN inference on every frame to track the object movement, we reuse the motor vector to extrapolate the object movement detected in the previous video frame. As we increase the number of the consecutively figured frames, the total number of CNN inferences is reduced, which leads to energy improvement and performance.
We can also leverage the ACP and the ARM interface to use the LLC for the inter-layer data reuse (for example, the feature maps), which would otherwise be spilt by the DRAM from the NN accelerator local SCRAM. An L3 typical size in mobile devices is about 2mbs, and the ACP provides about 20GB of bandwidth, which is enough to capture the reuse of most of the layers in present object detection CNNs. This design dramatically reduces the DRAM and the power consumption of the system.
Figure 2. left: The cross IP optimization of object detection on mobile SoC which allows 40% reduction while on right with the less than 1% accuracy
Lastly, software that supports the abstracts away the implementation of the hardware details presented. An example is shown by fig 1, where the high-level computer vision libraries are unmodified, which keeps the android-NN interface unchanged. A specific driver and the modification of HAL implemented that the hardware augmentation entails.
A system-level optimization was evaluated on an in-house SoC simulator, calibrated with the measurement of the Jetson TX2 development board. A commonly used benchmark was used, such as the VOT and the OTB and the internal dataset. Outcomes in figure 2 show that compared to state-of-the-art object detection frameworks such as YOLO that executes an entire CNN for every frame, the system reduces the energy by over 40% with less than 1% accuracy loss of extrapolation window size of the two. The energy-saving is more significant as the extrapolation window increases while the accuracy reduces. Compared to the conventional approach of reducing the intensity of computing by downscaling the network (for example, YOLO, which is 5⁓ × simpler), the system achieves higher accuracy and higher energy saving.
Conclusion
Efferently supporting the demanding machine learning workload on energy-constrained mobile devices requires careful attention to the overall system design. The paper emphasized the three key research priorities: Cross Ip optimization, software abstraction, and accelerator interfacing. The mobile Machine learning Hardware at ARM: system on chip
Bibliography
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Santosh Divvala,] Joseph Redmon, Ali Farhadi, and Ross Girshick, (2016). You Only Look Once: Unified, Real-Time Object Detection. In Proc. of CVPR.
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Ever wondered why some individuals are consistently more persuasive than others? It often lies in the moments leading up to their actual presentation. This strategic approach, known as “framing the conversation” or more popularly, “pre-suasion”, is about setting the stage before the performance. Brian Ahearn, a globally recognized authority on influence, and one of only a dozen Cialdini certified trainers, unveiled the intricacies of this influence approach at TEDx New Albany this past April.
Robert Cialdini, the widely cited social psychologist, identified the art of “pre-suasion” as a defining tool in influencing decisions. Ahearn, in his TEDx presentation, extrapolated this concept by simplifying it as “Setting the Stage for Success and Happiness.” With a compelling narrative, he introduced the audience to the core tenets of pre-suasion: attention, mindsets, and triggers.
For Ahearn, the cornerstone of pre-suasion is attention. In our information-saturated age, merely grabbing attention is insufficient. It’s the art of directing that attention towards pivotal elements of a proposal that can swing decisions. When directed correctly, attention becomes the bridge to understanding and persuasion.
Ahearn further delved into the role of mindsets in persuasion. Our decisions are profoundly influenced by our prevailing mental, emotional, and physical states. Illustrating this point, Ahearn narrated a riveting tale of guiding a colleague from nerves to excitement, a shift that dramatically elevated her performance.
Triggers, as Ahearn shared, are the often-subtle cues shaping our perceptions and decisions. From the colors we see, or the compelling example of music swaying the sale of French versus German wine, to the ambiance we’re surrounded by, subconscious triggers play a pivotal role in our choices.
Perhaps the most poignant moment of the presentation was Ahearn’s personal touch. He recounted the heartwarming story of leveraging pre-suasion in the most significant decision of his life: proposing to his wife. This touching anecdote, culminating in his wife of 35 years joining him on stage, underscored the profound impact of pre-suasion in our personal and professional realms.
For those wishing to amplify their influence and seeking the keys to unlocking consistent “Yes!” responses, Brian Ahearn’s insights are indispensable. His TEDx presentation offers a treasure trove of actionable ideas, ensuring that the audience can employ the art of pre-suasion to get to yes more frequently and more effortlessly.
To dive into the world of pre-suasion and discover strategies known to millions but perhaps new to you, Brian Ahearn’s TEDx talk is a must-watch. It promises not just strategies but also stories that inspire and resonate.
About Brian Ahearn
Brian Ahearn, the founder of Influence PEOPLE, LLC, is one of only a dozen people in the world personally trained and certified by Robert Cialdini, PhD. The author of three books on the topic, Brian is also a LinkedIn Learning course creator. A keynote presenter, more than a million people have already seen his TEDx talk.
In the forex market, we have recently noticed an emerging forex trading platform that is attracting a lot of attention, namely OTFX, which is based in Australia and is gradually attracting the attention of investors due to its unique background and powerful strength. Let’s dig deeper into the background of OTFX and why it is attracting attention.
The fact that OTFX originated in Australia is of great interest. As a highly recognized region for financial markets, Australia provides OTFX with a strict financial regulatory environment. This means that OTFX is supervised by the Australian financial market regulation, which provides investors with more safety and security.
OTFX prides itself on its exceptionally strong team, which includes CEO Adev Aarons, who has extensive experience in the financial field. The professional background and practical experience of this team will provide strong support for the development of OTFX, which is a key factor that investors can trust.
OTFX is more than just a forex trading platform, it also offers a full range of financial investment consulting services. This means that investors can get guidance and advice from professionals to help them develop smarter investment strategies and achieve their financial goals.
What’s more exciting is that OTFX has been honored to receive a strategic investment from Alpha Fund. This strategic investment will bring more resources and opportunities to OTFX, further consolidating its position in the financial sector and providing investors with a safer, more reliable and transparent trading environment.
Meanwhile, Alpha Fund is a highly recognized financial institution that focuses on providing investors with superior asset management and investment solutions. This strategic cooperation will bring OTFX users more specialized services and opportunities to help you achieve longer-term financial goals.
In its debut phase, OTFX presents some clear advantages. They plan to launch the Mirror Follower System, which will allow investors to follow the trading strategies of successful traders, providing them with more trading opportunities. In addition, OTFX is actively recruiting special dealers, and the special dealer stage is crucial for the stability and reliability of the platform. We have noticed that OTFX specially selects a very small number of chartered accounts and provides them with additional support and incentives. This strategic partnership helps to build a strong community and is crucial for the success of the new platform.
OTFX’s background and strength provide a solid foundation for its emergence in the forex market. As a high-profile emerging platform, OTFX has quickly attracted investors’ attention. However, investment decisions still need to be made carefully as the forex market is full of opportunities and risks. Investors should fully understand the background and strength of the company to ensure that the platform they choose meets their investment needs and objectives.
In the realm of American football, there may be no place quite like the NFL RedZone. This channel provides an adrenaline-pumping, industrial-loose way to catch all the exciting moments from every game, mainly when a team is set to attain However, if you’ve cut the wire and now do not have access to cable, fear not! We’ve got you covered with various Ways to Stream NFL Redzone Online.
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As the joys of expert soccer intensify, so does the preference to seize every vital play on NFL RedZone. Fortunately, cutting the twine now does not mean sacrificing this adrenaline-pumping channel. With streaming alternatives like Sling TV, YouTube TV, and FuboTV, viewers can without problems get admission to NFL RedZone and immerse themselves in the exhilaration. Furthermore, the NFL App presents a tremendous solution for those on the move, allowing them to enjoy RedZone on their cellular gadgets.
