Advanced Learning – End Grade Inflation http://endgradeinflation.org/ Thu, 21 Oct 2021 02:48:00 +0000 en-US hourly 1 https://wordpress.org/?v=5.8 https://endgradeinflation.org/wp-content/uploads/2021/06/icon.png Advanced Learning – End Grade Inflation http://endgradeinflation.org/ 32 32 BrainChip begins taking orders for Akida AI processor development kits https://endgradeinflation.org/brainchip-begins-taking-orders-for-akida-ai-processor-development-kits/ Wed, 20 Oct 2021 23:30:00 +0000 https://endgradeinflation.org/brainchip-begins-taking-orders-for-akida-ai-processor-development-kits/ ALISO VIEJO, Calif .– (COMMERCIAL THREAD) –BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low-power, high-performance artificial intelligence technologies, today announced that BrainChip will take orders for two development kits for its processor Akida ™ advanced neural network, allowing partners, large enterprises and OEMs to begin internal testing and validation of Akida’s […]]]>

ALISO VIEJO, Calif .– (COMMERCIAL THREAD) –BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low-power, high-performance artificial intelligence technologies, today announced that BrainChip will take orders for two development kits for its processor Akida ™ advanced neural network, allowing partners, large enterprises and OEMs to begin internal testing and validation of Akida’s high performance, small and ultra-low power AI chip. Akida NSoC and intellectual property enable a wide range of cutting-edge AI capabilities that include continuous learning and inference.

BrainChip offers two development kits, both including the AKD1000 chip on a mini-PCI board: a Shuttle X86 PC development kit, as well as an ARM-based Raspberry Pi development kit.

“Offering development kits is not only a major step towards full commercialization, it is also an exciting opportunity to see how our partners and future customers will put Akida to work in environments and scenarios such as large electronics. public, industrial applications, aerospace and defense systems, healthcare and medical devices, automotive technology and more, ”said Anil Mankar, co-founder and chief development officer of BrainChip. “We believe that AKD1000 silicon, or Akida’s license in a configurable IP format, will lead to major changes in industries using AI at the edge due to its performance, security, low power consumption. energy and mainly Akida’s ability to perform training and learning on the device itself, without reliance on the cloud.

Development kits for Akida-based applications and solutions evolving to production status are a step towards the neuromorphic revolution for cutting-edge AI applications. Organizations can purchase an Akida Development Kit through www.brainchip.com.

BrainChip’s Akida is bringing artificial intelligence to the forefront in a way that existing technologies cannot. The solution is high performance, small, ultra-low power, and enables a wide range of edge capabilities. Akida (NSoC) and intellectual property can be used in applications including Smart Home, Smart Health, Smart City, and Smart Transportation. These applications include, but are not limited to, home automation and remote controls, industrial IoT, robotics, security cameras, sensors, unmanned aircraft, autonomous vehicles, medical instruments, object detection , sound detection, smell and taste detection, gesture control and cybersecurity. .

About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF)

BrainChip is a global technology company that produces a revolutionary neuromorphic processor that brings artificial intelligence to the forefront in a way that exceeds the capabilities of other products. The chip is high performance, small, ultra low power, and enables a wide range of advanced capabilities that include on-chip training, learning, and inference. The Event Based Neural Network Processor takes its inspiration from the cutting edge nature of the human brain and is implemented in an industry standard digital process. By mimicking brain processing, BrainChip pioneered a processing architecture, called Akida ™, which is both scalable and flexible to meet the demands of edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmitting through the cloud to a data center. Akida is designed to provide a complete, ultra-low power and fast AI Edge network for vision, audio, olfactory and intelligent transducer applications. Reducing system latency provides faster response and a more energy efficient system that can reduce the large carbon footprint of data centers.

Further information is available at https://www.brainchipinc.com

Follow BrainChip on Twitter: https://www.twitter.com/BrainChip_inc

Follow BrainChip on LinkedIn: https://www.linkedin.com/company/7792006



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Walz Wins ACCT National and Regional Honors | Madison College https://endgradeinflation.org/walz-wins-acct-national-and-regional-honors-madison-college/ Tue, 19 Oct 2021 19:34:35 +0000 https://endgradeinflation.org/walz-wins-acct-national-and-regional-honors-madison-college/ The exceptional work of Dr. Ken Walz of Madison College was recently recognized by the Association of Community College Trustees Association (ACCT). Walz is a recipient of the William H. Meardy Faculty Member Award, in addition to being named an Outstanding Professor for the ACCT Central Region. Regional and national awards were accepted on behalf […]]]>

The exceptional work of Dr. Ken Walz of Madison College was recently recognized by the Association of Community College Trustees Association (ACCT).

Walz is a recipient of the William H. Meardy Faculty Member Award, in addition to being named an Outstanding Professor for the ACCT Central Region. Regional and national awards were accepted on behalf of Dr Walz at ACCT 2021 Congress of leaders.

ACCT is the premier annual conference for community college leaders and the only national conference dedicated to community college administrators. The ACCT Awards for Outstanding Community College Trustees, Equity Programs, CEOs, Faculty Members and Professional Staff on Boards of Directors from across the country were presented on October 15.

“I commend Ken for the innovative leadership and expertise he brings to the college and its students,” said Madison College President Dr. Jack E. Daniels III. “These are distinctions that we can all celebrate and are proud of. ”

Walz received the William H. Meardy Faculty Member Award for his dedication to our students and the Madison College community. ACCT recognizes that the central purpose of community colleges is teaching and learning; and the achievement of excellence for this purpose is directly linked to the quality of the faculty.

Walz has been teaching chemistry, engineering, and renewable energy at the college since 2003, where he is director of the Center for Renewable Energy Advanced Technology Education. TO CREATE provides professional development, curriculum and educational materials on renewable energy to high school and community college educators nationwide.

The ACCT award is the last of the national honors received by Walz. He has previously been recognized as Teacher of the Year by the Carnegie Foundation and the Council for the Advancement and Support of Education and as Energy Educator of the Year by the Wisconsin Association for Environmental Education.


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AI as an emerging technology https://endgradeinflation.org/ai-as-an-emerging-technology/ Sat, 16 Oct 2021 19:07:08 +0000 https://endgradeinflation.org/ai-as-an-emerging-technology/ The digitalization process is taking the world by storm, and it’s only possible thanks to revolutionary advances in artificial intelligence and machine learning. AI and ML solutions find application in most industries and business practices, with a trend that continues to grow rapidly each year. By TOMAS MCKENNIE Of course, the introduction of new technologies […]]]>

The digitalization process is taking the world by storm, and it’s only possible thanks to revolutionary advances in artificial intelligence and machine learning. AI and ML solutions find application in most industries and business practices, with a trend that continues to grow rapidly each year.

By TOMAS MCKENNIE

Of course, the introduction of new technologies into existing systems comes with its share of challenges. However, the benefits outweigh the risks, so companies of all sizes are starting to embrace this new technology. Let’s take a look at how AI and ML are improving business operations and why they are so popular.

Development of AI and ML models Focus on hyper automation

Automation has been a part of most manufacturing processes for decades. Hyper Automation, on the other hand, is the push towards automating most business processes. As AI models get smarter, they can perform more tasks. Companies are constantly on the lookout for new areas where they can apply AI.

The need for full automation became evident during the COVID-19 pandemic, as most businesses had to move from traditional operations to a digital environment. This is why hyper-automation is also known as digital process automation.

Of course, the practice relies on AI and ML as key components. Combined with robots and other automation tools, AI and ML can deliver truly amazing results. However, with hyper-automation comes all kinds of challenges. For example, as new technologies are introduced, they affect automated processes, completely changing the logic of the process. Automated businesses must develop new models in an ever-changing environment. This often turns out to be too costly and time consuming.

Engineers and AI developers have also found a solution for this. They use advanced models of AI, ML, and deep learning to accelerate the learning process. Through the use of advanced learning algorithms, new AI and ML models can automatically learn new processes. The practice is still in its early stages, but it will soon become the norm among AI systems around the world.

[Source Pixabay]

Optimizing AI Development Through AI Engineering

As mentioned above, AI solutions find their place in most aspects of everyday life. From online search engines to optimizing production lines, AI has already proven that it can find and solve a variety of problems.

However, developing a new AI solution takes a lot of time, money, and effort. Despite this, only about 53% of all AI projects see the light of day. Companies are struggling to develop AI and ML models that match their existing infrastructure as well as their business goals. The constant back and forth between developers and other departments leads to errors and complications that often exceed budgeted budgets.

Most AI models are designed to improve performance, provide scalability, and manageability. However, most models struggle to provide all of these features. This is why developers have started using AI to train and design new AI solutions.

The AI ​​engineering process makes more sense because it integrates all the pieces into one. In other words, projects don’t have to move from one department to another. AI engineering automatically supports all DataOps, DevOps and ModelOps. This ultimately leads to faster development and better results.

Correlation between AI / ML and IoT

The IoT stands for the Internet of Things, and it’s one of the fastest growing technologies over the past decade. Current estimates indicate that the IoT market will reach $ 1.5 trillion by 2030. This should come as no surprise considering the immense power and capabilities this technology provides.

If you still don’t know, IoT technology uses small sensors installed on all devices and assets in a system. These sensors monitor individual devices and send performance data to an AI / ML system that learns how everything works. Once it has enough data, AI can find bottlenecks and other operational issues. Once he has all the information, he can suggest solutions to improve efficiency and productivity. There is no IoT without AI and ML.

The system is perfectly designed. AI and ML need a ton of data to improve accuracy, and the IoT is constantly generating huge amounts of information. When brought together, these technologies can provide incredible information that is used to improve operations on many different levels.

This technology has application in industrial settings and manufacturing industries. IoT sensors are installed on entire production lines to collect performance data through real-time monitoring. The data is sent to the AI ​​system which analyzes everything and provides solutions that improve production and efficiency. These massive amounts of data can be used for other revolutionary practices, such as predictive maintenance. A company called Wizata industrial manufacturing software is one of the leading names in this field, and their AI solutions are already redefining manufacturing practices in industries around the world.

AI for cybersecurity

Cyber ​​security is one of the areas where AI and ML have proven to be extremely useful. As cybersecurity gets stricter, cybercriminals must develop new ways to breach systems. No matter how hard companies try to keep them out, hackers always find ways to steal sensitive information. Since most cyber attacks are caused by human error, it makes sense to use AI and ML to minimize threats.

AI cybersecurity solutions introduce techniques that have never been used before. Instead of acting as a shield between internal systems and the internet, AI collects data from all networks and monitors all activity. This way, it can identify many more threats than standard firewalls to minimize the risk of data breach.

Home security systems are also evolving rapidly. AI has found an application there too. For example, smart homes use AI-driven systems for video camera surveillance and remote management. However, new AI solutions will be able to learn the habits and preferences of occupants, making it easier to recognize intruders when no one is at home.

[Source Pixabay]

Ethical concerns regarding the use of AI

As AI becomes a normal part of many of the processes around us, there is always a question of where to draw the line. Who can use AI-based facial recognition technology? Should it be used only by the police, or should it become available for commercial use? These are just a few of the issues that preoccupy millions of people around the world.

The truth is, AI can be abused and used to manipulate people. You must have heard of bogus software that can realistically create fake videos. But it is the least of our concerns. Imagine the types of AI already used by governments to spy on people. Businesses are also using AI to improve customer relationships and boost marketing efforts.

Finally, where will the word end if AI takes care of all the processes around us? Human workers will become obsolete, which will lead to many new problems in the future. That’s why countries and governments around the world are creating new laws and regulations on the use of AI. We need more transparency on the use of AI and ML models in everyday life. Until this is done, the issue of ethics and AI will remain paramount.

Final words

AI is one of the most revolutionary technologies the world has ever seen. However, its capabilities and applications are so immense that it quickly supports business processes in most industries. It’s powerful technology that can do a lot of good or a lot of damage in the right hands.

There’s no doubt the world needs AI to get better, but the line between a useful tool and a scary thing in sci-fi movies is getting thinner and thinner. We can only hope that new laws and regulations will define the legal use of AI and prevent it from robbing us of our privacy and freedom.


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Governor Northam announces $ 5 million grant to train shipbuilding workers for the US Navy https://endgradeinflation.org/governor-northam-announces-5-million-grant-to-train-shipbuilding-workers-for-the-us-navy/ Sat, 16 Oct 2021 02:57:08 +0000 https://endgradeinflation.org/governor-northam-announces-5-million-grant-to-train-shipbuilding-workers-for-the-us-navy/ RICHMOND, Va. (WAVY) – Virginia has received a $ 5 million grant from the Department of Defense to train workers for the Virginia defense manufacturing industries in Danville and Hampton Roads. Governor Ralph Northam announced Friday that the grant will fund the Virginia Defense Manufacturing Community, which includes the Institute of Advanced Learning and Research […]]]>

RICHMOND, Va. (WAVY) – Virginia has received a $ 5 million grant from the Department of Defense to train workers for the Virginia defense manufacturing industries in Danville and Hampton Roads.

Governor Ralph Northam announced Friday that the grant will fund the Virginia Defense Manufacturing Community, which includes the Institute of Advanced Learning and Research in South Virginia, and Old Dominion University Marine Industrial Base Ecosystem.

According to a recent statement, the $ 5 million grant will create a K-12 training pipeline, helping students develop the skills needed for jobs in defense manufacturing industries. The grant will also ensure that Virginia has the number of workers necessary to meet the needs of the industry.

Virginia officials say the training pipeline will increase manufacturing capacity, capacity, resilience and diversity in the field.

“Virginia is a recognized leader in defense manufacturing,” said Northam, “this revolutionary partnership will help diversify and modernize the nation’s best maritime workforce to build and maintain the world’s best navy, while providing young people with a route to accomplishing jobs in a high-tech, well-paid industry.

Click here to subscribe to daily WAVY newsletter emails.

The project plans to create a community college-university pathway in manufacturing engineering technology that awards credentials to manufacturing engineers.

Students will be introduced to manufacturing workforce opportunities in elementary school. As they age, they will have access to a more advanced program of study related to their preferred field of manufacturing and employment opportunities at the high school, college and university levels.

“We aim to integrate Kindergarten to Grade 12, community college and university programs with cutting-edge training resources to provide the strongest, most diverse and most adaptable manufacturing workforce,” said Mark Gignac, executive director of the Institute for Advanced Learning and Research.

The grant will be invested over the years 2022 and 2023.

Virginia has a strong military presence, particularly in areas of Norfolk, which makes it suitable for Department of Defense funding.


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How advanced technology creates new possibilities and requirements for financial reporting and auditing https://endgradeinflation.org/how-advanced-technology-creates-new-possibilities-and-requirements-for-financial-reporting-and-auditing/ Thu, 14 Oct 2021 20:34:33 +0000 https://endgradeinflation.org/how-advanced-technology-creates-new-possibilities-and-requirements-for-financial-reporting-and-auditing/ By Jeff Koyen Technology continues to change the way businesses run their finance function, and most executives are fully aware (and support) of the role of technology within their organizations. But exactly what benefits does technology bring today, how will that change in the years to come, and how will technology influence the next generation […]]]>

By Jeff Koyen

Technology continues to change the way businesses run their finance function, and most executives are fully aware (and support) of the role of technology within their organizations. But exactly what benefits does technology bring today, how will that change in the years to come, and how will technology influence the next generation of finance professionals?

These questions were at the heart of Forbes Insights’ May-June 2021 survey of 250 senior U.S. finance executives, conducted in collaboration with KPMG LLP. Executives represent all major industries and work in organizations with at least $ 1 billion in global revenue in the most recent fiscal year. We also spoke with several KPMG executives to give the data better context.

What do leaders expect from their technology?

“Companies are constantly looking for more in-depth information about their business,” says Heather Paquette, national leader in technology assurance, KPMG. “Using smart analytics and artificial intelligence gives them this information, both to drive business value and to make financial decisions. “

Smart Analytics and Artificial Intelligence: Add cloud computing and you’ve got what you might think of as the Financial Technology Dream Team. Advanced computing, blockchain, and automation technologies, such as robotic process automation (RPA) and business process automation (BPA), also play an important role.

What solutions will be adopted the fastest by the industry and how will expectations change as a result?

What technologies and why

As the survey shows, finance executives are well aware that artificial intelligence and other advanced technologies are used in their industry. And since it’s as expensive as it is powerful, the latest financial technology has to be practically justified.

The most obvious benefit for executives is getting better insights from more nuanced data. As Scott Flynn, KPMG vice president of audit, says: “In conversations I have with senior executives … this is what they are looking for: the knowledge that the data is able to identify.

In terms of the essentials specific to their internal finance functions right now, most executives indicated cloud computing and storage (74%); intelligent analysis, including data extraction and transformation and data visualization (62%); and artificial intelligence, which includes machine learning and natural language processing (56%).

Most executives expect BPA (43%), process extraction technology (42%) and RPA (48%) to be required financial capabilities within two years.

“The automation of robotic processes is underestimated these days,” says Paquette. “He should be higher on the executive radars.”

Many executives expect blockchain (51%) and edge computing (36%) to become important internal tools within five years, but not for another three.

Internal functions versus external auditors

For most business leaders, internal reporting is only one facet of the finance function. The role of the external auditor is often just as important, as is the auditor’s use of the latest digital tools.

Almost all executives (98%) said their external firm uses advanced technology in the audit process, and most agree that this improves the quality of the audit (98%). (This represents a marked change from just three years ago, when 74% of executives rated the use of advanced technology by external auditors. Digging deeper, only 26% of executives in 2018 considered the artificial intelligence as a must-have for the figure is 61%.)

According to executives, the use of advanced technology provides deeper insight into areas of increased risk, provides better benchmarking and increases data coverage.

The majority of executives also say that advanced technology improves their customer experience (94%).

Perhaps this is the reason why most executives (58%) view external auditors as more technologically advanced than internal finance functions. Only 8% of executives think their own use of technology is more advanced.

These results do not surprise Flynn.

“We need to be able to prepare, perform and execute audits for companies across a broad spectrum,” he says. “Things move with them, but [also] anticipating where they are going.

While agreeing with Flynn’s assessment, Christian Peo, National Managing Partner, Audit Quality and Professional Practice, KPMG, believes it is equally important to pay close attention to this minority of senior finance executives. the technological avant-garde.

“To keep pace with these 8% who are changing and innovating so quickly, we need to invest and spend time and live up to how they are changing,” says Peo. “We have to follow them and we have to spend – it is an opportunity to improve the quality of the audit. “

So where should external auditors invest to stay current and meet these heightened expectations?

“Data and analysis,” explains Paquette. “60 to 70% of controls should be automated in the next five to ten years. … We are also evolving our audit approach with the companies we audit.

The future of talent

Conversations about AI and automation often center on the risk to human jobs: will robots replace humans? The answer, of course, is “No”. Automation will change the way many industries operate, but the “human factor” will prove irreplaceable in some functions.

For finance, Flynn says, “These people who are intellectually curious and able to learn from disparate data pools, these people are going to be truly exceptional. … They have a role to play in the future of auditing and, frankly, finances in the future.

Flynn believes technology will change financial information in ways that improve the lives of financial professionals, including auditors. In the form of machine learning and natural language processing, for example, AI can automate tasks that require tedious manual monitoring. As the adoption of AI grows, more of the industry’s human capital can be devoted to more creative tasks.

Seen in this light, it makes sense that the financial professionals of tomorrow will be sharp and insightful thinkers. Most executives say their financial reporting staff need critical thinking, reasoning, and problem-solving skills (80%); financial skills in investigation (66%); and an ability to achieve specific goals by developing relevant data analyzes (66%).

“The ability to do a deep analysis and make correlations from separate data is going to be very important,” says Flynn. But, he adds, it goes without saying that mastering the technology will also be important.

This is because the jobs of new generation auditors may be more technical in nature than those of their peers working in internal finance functions. For the former, our leaders favored mastery of AI, RPA and blockchain (76%) and training in data science (75%).

“Whether it’s data and analytics or the use of robots in audit procedures, we believe the next generation of auditors should have basic technology skills,” Paquette explains, “and they need to fully understand financial processes and this intersection of risk between finance and technology. “

While he recognizes that technical competence is vital for the rising generation of finance professionals, Peo offers an important caveat: “[T]you also need traditional skills: being able to talk to management [and] the audit committee in an understandable way, take very detailed conclusions that are discovered through the use of technology and present them in an understandable way in non-audit language.

The “human touch” will never become obsolete.

Towards greater automation

For good reason, digital transformation is a constant concern of most leaders. As the survey reveals, financial technology is evolving rapidly and bringing changes in the industry.

Trends towards greater automation are apparent, as are preferences for technology that produces better information. Executives are asking their own organizations to stay on the cutting edge of technology, which in turn puts increased pressure on their external auditors.

It’s the future, says Paquette.

Executives want to optimize and “digitize their business holistically,” she says. “These trends will continue to increase, both in driving business transformation [and] drive the automation of auditors.

For more on this topic, please read the full Forbes Insights-KPMG report., Standing the test of time: how technology is driving change in finance and auditing

Jeff Koyen is an award-winning journalist, media entrepreneur and an early cryptocurrency investor. He lives in Curaçao with his family.

The views and opinions expressed here are those of the survey respondents and do not necessarily represent the views and opinions of KPMG LLP.


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European Banking Federation and SAS help banks around the world fight financial crime https://endgradeinflation.org/european-banking-federation-and-sas-help-banks-around-the-world-fight-financial-crime/ Wed, 13 Oct 2021 16:12:00 +0000 https://endgradeinflation.org/european-banking-federation-and-sas-help-banks-around-the-world-fight-financial-crime/ Pre-registration for the AML Knowledge Partners Masterclass Series Exploring Advanced Analytics for AML Compliance Now Open CARY, North Carolina, October 13, 2021 / PRNewswire / – The United Nations Office on Drugs and Crime believes that 800 billion dollars To 2,000 billion dollars is laundered every year by financial systems around the world. That’s an […]]]>

Pre-registration for the AML Knowledge Partners Masterclass Series Exploring Advanced Analytics for AML Compliance Now Open

CARY, North Carolina, October 13, 2021 / PRNewswire / – The United Nations Office on Drugs and Crime believes that 800 billion dollars To 2,000 billion dollars is laundered every year by financial systems around the world. That’s an astonishing 2-5% of global GDP. The European Banking Federation (EBF) – bringing together 32 national banking associations in Europe, representing 5,981 banks with around 2.6 million employees – a in partnership with SAS to help financial companies around the world stop the flood.

The EBF and SAS will explain how banks large and small can use AI and machine learning to advance their AML compliance efforts.

The AML Masterclass will explore how AI and machine learning technology can help boost banks’ AML compliance efforts.

“Rapidly changing business and technology make conventional methods of fight against money laundering (AML) ineffective and call for a more innovative approach to tackling financial crime, ”said EBF CEO Wim mijs. “The future of AML rests on the use of innovative technologies and shared solutions which, in practice, improve expert judgment and reveal the full picture when dealing with complex criminal networks. We are convinced that this collaboration with SAS will help us prepare our members and the banking community at large for this new reality. “

In the European Union, despite the ever-increasing number of reports of suspicious activity, Europol data shows that no more than 1.1% of assets obtained by crime were confiscated between 2009 and 2014. To combat this worrying trend, the European Commission has introduced a new AML package this july. Among other changes, for the first time, banks and other obliged entities will have to comply with directly applicable regulations. A new European AML Authority will also become operational in the coming years.

AML masterclasses, free
In early 2022, EBF and SAS will launch a joint virtual AML masterclass series, led by AML experts familiar with using advanced analytics for AML. Unlike conventional courses on the subject, which primarily focus on the regulatory and operational aspects of AML, this series will highlight how artificial intelligence (AI) and machine learning can enhance the effectiveness of banks’ efforts in the fight against financial crime.

Pre-register for the free two-part offer today AML Masterclass, which will include:

  • Demystifying AI to Fight Money Laundering. Debut in March 2022, the inaugural session will examine how AI and machine learning technology actually works for AML. It will also explore shared transaction monitoring facilities as an opportunity to improve AML transaction monitoring and how it fits into the current regulatory framework.

  • New technologies for KYC. In April-May 2022, the second session will provide an overview of the current legislative landscape and explore new ways in which advanced analytics can facilitate bank know-your-customer (KYC) and due diligence processes. Experts will also demonstrate how solutions such as digital identification and network visualization can improve the transparency and efficiency of customer onboarding.

Following the online Masterclass sessions – and alignment with the ACAMS Europe conference at June 2022 – the EBF will organize a social event in person with SAS at Brussels. There, a panel of AML experts will host a live discussion and Q&A on how banks can integrate advanced analytics into their AML frameworks.

More than just “checkboxes”
In January, the Financial Action Task Force (FATF), the intergovernmental financial crime watchdog, warned that the COVID-19 pandemic had allowed criminals to exploit digital identity loopholes.

Around the same time, SAS, KPMG, and the Association of Certified Anti-Money Laundering Specialists (ACAMS) surveyed more than 850 ACAMS members around the world to assess how compliance professionals were adjusting their compliance strategies. combating money laundering amid the pandemic. The resultant AML Technology Study, published in August, revealed that:

  • A third of financial institutions said they have accelerated their adoption of AI and machine learning for AML compliance in response to COVID-19.

  • 39% said their plans to adopt AI and machine learning continue unabated, despite the disruption caused by the pandemic.

“Our research shows that the industry is at a critical crossroads. Banks generally recognize AI as an AML game changer, but most are still trying to master the technology and know how to make the most of it. “, said Stu bradley, Senior Vice President of Fraud and Security Intelligence at SAS. “Together with EBF, we are eager to light the way forward for banks with practical advice that elevates their thinking beyond just checking compliance boxes. With the right approach, AML can bring about a more holistic transformation across the breadth of bank fraud and risk management functions.

Today’s announcement was made at Sibos 2021, the premier global conference on financial services, hosted and facilitated by SWIFT. Register now join SAS during the free and exclusively digital event, via October 14 and later on demand. Attendees will learn about the AML Masterclass Series and other ways the leader in AI and analytics helps financial services organizations elevate people, planet, and profits through analytic innovation.

About the European Banking Federation
The European Banking Federation is the voice of the European banking industry, bringing together the national banking associations of Europe. EBF is committed to a thriving European economy based on a stable, secure and inclusive financial ecosystem, and a thriving society where funding is available to fund the dreams of citizens, businesses and innovators across the world. whole world.

About SAS
SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to turn data into intelligence. SAS gives you THE POWER TO KNOW®.

SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the United States and other countries. ® indicates United States registration. Other brand and product names are trademarks of their respective companies. Copyright © 2021 SAS Institute Inc. All rights reserved.

Editorial contact:
Danielle Bates
danielle.bates@sas.com
919-531-1959
sas.com/news

(PRNewsfoto / SAS)

(PRNewsfoto / SAS)

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Neurons and neutrinos: inside the brain of a physics professor https://endgradeinflation.org/neurons-and-neutrinos-inside-the-brain-of-a-physics-professor/ Tue, 12 Oct 2021 10:24:48 +0000 https://endgradeinflation.org/neurons-and-neutrinos-inside-the-brain-of-a-physics-professor/ The science of physics has strived to find the best possible explanations for understanding matter and energy in the physical world at all scales of space and time. Modern physics is full of complex concepts and ideas that have revolutionized the way we see (and don’t see) the universe. The mysteries of the physical world […]]]>

The science of physics has strived to find the best possible explanations for understanding matter and energy in the physical world at all scales of space and time. Modern physics is full of complex concepts and ideas that have revolutionized the way we see (and don’t see) the universe. The mysteries of the physical world are increasingly being revealed by physicists who delve into non-intuitive and invisible worlds, involving the subatomic, quantum and cosmological realms. But how does the brains of advanced physicists deal with this feat of thinking about worlds that cannot be experienced?

In an article recently published in npj: Science of Learning, researchers at Carnegie Mellon University found a way to decode brain activity associated with individual abstract scientific concepts relating to matter and energy, such as the fermion or dark matter.

Robert Mason, Senior Research Associate, Reinhard Schumacher, Professor of Physics and Marcel Just, Professor of Psychology at DO Hebb University, CMU studied the thought processes of their fellow CMU physics professors regarding the concepts of advanced physics by recording their brain activity using functional magnetic resonance. Imaging (fMRI).

Unlike many other neuroscience studies using brain imaging, this one did not aim to find the “place in the brain” where advanced scientific concepts reside. Instead, the goal of this study was to find out how the brain organizes very abstract scientific concepts. An encyclopedia organizes knowledge alphabetically, a library organizes it according to something like the Dewey decimal system, but how does a physicist’s brain do?

The study examined whether the activation patterns evoked by the different physics concepts could be grouped together in terms of concept properties. One of the most innovative discoveries was that the brains of physicists organized concepts into measurable or unmeasurable size. Here on Earth, for most of us mortals, anything physical is measurable, given the right ruler, the right scale, or the right radar gun. But for a physicist, certain concepts like dark matter, neutrinos or the multiverse, their magnitude is not measurable. And in the brains of physicists, measurable and non-measurable concepts are organized separately.

Of course, parts of the brain organization of physics teachers resembled the organization of the brain of physics students, like concepts that had a periodic nature. Light, radio waves, and gamma rays are periodic in nature, but concepts like buoyancy and the multiverse are not.

But how to assess this interpretation of the results of brain activation? The study team found a way to generate predictions of the activation patterns of each of the concepts. But how to predict the activation evoked by dark matter? The team recruited an independent group of physics teachers to rate each concept on each of the hypothetical organizational dimensions on a scale of 1 to 7. For example, a concept like “duality” would tend to be considered immeasurable ( i.e. low on the measurable scale). A computer model then determined the relationship between the odds and the activation patterns for all but one of the concepts, and then used this relationship to predict the activation of the left out concept. The accuracy of this model was 70% on average, well above 50% chance. This result indicates that the underlying organization is well understood. This procedure is demonstrated for the activation associated with the concept of dark matter in the accompanying figure.

Creativity of thought

Around the turn of the 20th century, post-Newtonian physicists radically advanced the understanding of space, time, matter, energy, and subatomic particles. The new concepts are not born from their perceptual experience, but from the generating capacities of the human brain. How was this possible?

Neurons in the human brain have a large number of computational abilities with various characteristics, and experience determines which of these abilities are used in various possible ways in combination with other regions of the brain to perform particular thinking tasks. For example, any healthy brain is prepared to learn the sounds of spoken language, but an infant’s experience in a particular linguistic environment determines which phonemes of which language are learned.

The genius of civilization has been to use these brain capacities to develop new skills and knowledge. What makes all of this possible is the adaptability of the human brain. We can use our old brains to think of new concepts, which are organized into new underlying dimensions. An example of a significant “new” physical dimension in the 20th century, post-Newtonian physics is “immeasurability” (a property of dark matter, for example) which contrasts with the “measurability” of classical physics concepts, (such as torque or speed). This new dimension is present in the brains of all tested university physics teachers. Scientific advances in physics have been built with the new capabilities of the human brain.

Another striking finding was the great degree of similarity between physicists in the way their brains represented concepts. Even though physicists were trained in different universities, languages, and cultures, there was a similarity in brain representations. This similarity in conceptual representations arises from the fact that the brain system that automatically comes into play to process a given type of information is the one that is intrinsically best suited for that processing. By analogy, consider that the parts of his body that come into play to perform a given task are best suited: for catching a tennis ball, a closing hand automatically comes into play, rather than a pair or knees or a mouth or armpit. Likewise, when physicists process information about oscillations, the brain system that comes into play is the one that would normally process rhythmic events, such as dance movements or ripples in a pond. And it is the source of community between people. The same brain regions in everyone are recruited to process a given concept.

So the secret to teaching old brains new tricks, as the advancement of civilization has repeatedly done, is to enable creative thinkers to develop new understandings and inventions, building on or reusing the information processing capabilities inherent in the human brain. By communicating these newly developed concepts to others, they will take root in the same information processing capabilities of the recipients’ brains that were used by the original developers. Mass communication and education can spread progress to entire populations. Thus, the march of science, technology and civilization continues to be led by the most powerful entity on Earth, the human brain.

Reference: Mason RA, Schumacher RA, Just MA. The neuroscience of advanced scientific concepts. npj Sci Learn. 2021; 6 (1): 1-12. do I: 10.1038 / s41539-021-00107-6

This article was republished from the following materials. Note: The material may have been modified for its length and content. For more information, please contact the cited source.


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Twinsburg Young Boys’ Season Ends With Sectional Tournament https://endgradeinflation.org/twinsburg-young-boys-season-ends-with-sectional-tournament/ Mon, 11 Oct 2021 02:33:41 +0000 https://endgradeinflation.org/twinsburg-young-boys-season-ends-with-sectional-tournament/ There are always parts to the game, but this year’s boys’ section golf tournament was all about learning for the growing Twinsburg team. The young Twinsburg finished 11th overall out of 18 schools with a score of 368 at the Division I Sectional Championships at the Windmill Lakes Windmill Lakes Golf Course October 4. The […]]]>

There are always parts to the game, but this year’s boys’ section golf tournament was all about learning for the growing Twinsburg team.

The young Twinsburg finished 11th overall out of 18 schools with a score of 368 at the Division I Sectional Championships at the Windmill Lakes Windmill Lakes Golf Course

October 4.

The top four teams and the top four non-qualifying team qualified for the district tournament.

Twinsburg or his individual players didn’t make the cut, but that doesn’t mean the Tigers didn’t gain some knowledge after the tournament.

Senior Pranav Duvvuri finished tied for 24th shooting a round of 82 (40-42).

A big hitter on the tees, Duvvuri’s round of 40 finished 15th overall as he had a lot of positive moments.


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UPMC health system: a national benchmark for the use of technology | Technology https://endgradeinflation.org/upmc-health-system-a-national-benchmark-for-the-use-of-technology-technology/ Sat, 09 Oct 2021 20:00:00 +0000 https://endgradeinflation.org/upmc-health-system-a-national-benchmark-for-the-use-of-technology-technology/ Pittsburgh, Pennsylvania – At the onset of the COVID-19 pandemic, many organizations adapted their services to an online format, if possible. Even hospitals have joined the trend, offering virtual patient care. UPMC’s healthcare system has been recognized for its use of advanced technologies over the past year. This is not the first victory for UPMC […]]]>

Pittsburgh, Pennsylvania – At the onset of the COVID-19 pandemic, many organizations adapted their services to an online format, if possible. Even hospitals have joined the trend, offering virtual patient care. UPMC’s healthcare system has been recognized for its use of advanced technologies over the past year.

This is not the first victory for UPMC technologies. For the 23rd consecutive year, UPMC was named one of the country’s “Digital Health Most Wired” health systems by the College of Health Information Management Executives (CHIME) – and one of seven health systems eligible for the highest level of recognition.

The CHIME Digital Health Most Wired program conducts an annual survey to assess how effectively healthcare organizations are using advanced technologies in their clinical and business operations to improve the health of their communities. Over 36,000 organizations responded to the survey this year.

“The past year and a half has posed unprecedented challenges, but our team has worked tirelessly to ensure that the technology is in place to provide life-changing healthcare for our patients and plan members. Said Ed McCallister, UPMC’s chief information officer. “The Most Wired Achievement recognizes the hard work and innovation of our team to create solutions that will endure even after this pandemic. “

UPMC obtained the highest possible score of a level 10 in the domestic ambulatory and acute categories. To achieve this recognition, UPMC and others in this group implemented and harnessed advanced technologies, including telemedicine, bedside data access and cost analysis tools. to improve care, the patient experience and access to services, while reducing costs.

Over the past five years, UPMC has invested more than $ 2.4 billion in technology across the health system to improve the quality and efficiency of care. Recognized for its technological leadership, UPMC was an early adopter of electronic medical records and is at the forefront of advancements in biometrics, machine learning and natural language processing.

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Machine Learning Market Analysis and Forecast 2021 https://endgradeinflation.org/machine-learning-market-analysis-and-forecast-2021/ Fri, 08 Oct 2021 15:51:40 +0000 https://endgradeinflation.org/machine-learning-market-analysis-and-forecast-2021/ The machine learning (ML) market, a subset of artificial intelligence (AI) that focuses on training computer algorithms to automate data processes, not only is growing rapidly, but is consolidating its position in business and personal environments. Machine learning benefits users by automating a mix of business operations and everyday consumer use cases, and more and […]]]>

The machine learning (ML) market, a subset of artificial intelligence (AI) that focuses on training computer algorithms to automate data processes, not only is growing rapidly, but is consolidating its position in business and personal environments.

Machine learning benefits users by automating a mix of business operations and everyday consumer use cases, and more and more people are realizing these benefits as businesses continue to adopt and optimize ML solutions.

Read on to learn more about the technology behind machine learning, its applications, and what the market looks like today:

A closer look at machine learning (ML)

Read also : Best Machine Learning Companies 2021

Machine Learning Market

Although machine learning is part of the largest AI market, it is the most commonly implemented and rapidly growing form of AI in business.

The machine learning market reached a value of around $ 1.41 billion in 2020 and is expected to reach $ 8.81 billion by 2025, according to 360 research reports.

Machine learning features

  • Algorithm: A program that uses math and logic to adjust its performance and behavior based on training data.
  • Training data: This data, often unstructured and made up of thousands of data points, is used as a sample dataset, so ML algorithms can learn what to expect and build habits before encountering real-world data. .
  • Supervised and unsupervised learning: Supervised learning provides labeled data and expected outputs, while unsupervised learning provides unlabeled data and requires the ML model to learn potential outputs from the training data.
  • Deep learning: Deep learning is a type of ML designed to function like the human brain, allowing these models to closely mimic human behaviors in different scenarios.

Learn more about deep learning: AI vs Machine Learning vs Deep Learning: subsets of artificial intelligence

Benefits of machine learning

Real-time support for user experience (UX)

Text analysis is one of the primary goals of machine learning, with the goal of mimicking actual customer service actions through data learning algorithms. As a result, tools such as chatbots and recommendation engines have been developed, providing users with real-time support and tailored user experiences when they need it. As a bonus, these tools continue to learn as they interact with customers, and they also provide strategic demographics to a company’s data scientists.

Efficient big data analysis

Data scientists and traditional data tools routinely successfully extract meaningful insights from business data, but there are still challenges of limited time and human error when filtering out huge sets of data. big data. Machine learning models are often trained to do the hard work of data analysis. Once they are trained to understand a set of data, they can work behind the scenes and work with large amounts of structured and unstructured data.

Automation of business operations

Big data analytics is just one area of ​​business operations made easier by machine learning. MLOps, or the practice of automating business operations with machine learning tools, has eliminated many of the routine tasks involved in database management, network security monitoring, and business intelligence (BI). As a result, expert staff who devote so much time to these tasks may have more time to work on specialized tasks for the business.

David P. Mariani, Founder and CTO of At scale, a BI and data analytics company, believes that machine learning, especially autoML, is making data democratization and machine learning possible for more employees:

“AutoML tools now automate the process of data integration, model selection, training and adjustment to help data citizens do the job of an advanced data scientist,” said Mariani. “Using AutoML tools, ordinary analysts can now generate models to predict future sales and inventory levels or to create models to anticipate customer churn rate.”

Voice and text accessibility

Whether it is a barrier related to language or a user’s disability, text, voice and sentiment analysis is increasingly used to improve users’ multimedia and web experiences. Especially with assistive technology users in mind, machine learning algorithms are trained to listen to or otherwise translate digital content, so that automated captioning can be provided with accessibility in mind.

Learn more about data analysis: Data Analytics Market Trends 2021

Machine learning use cases

In virtually any case where volumes of unstructured big data must be combed through to program a system, companies are looking for ways to create machine learning algorithms that automate the process of data analysis.

Some of the most common use cases focus on customer service and user experience, with natural language processing algorithms used to program chatbots, virtual assistants, and customer service agents, along with recommendations from search engine.

Other machine learning models are at the frontiers of new technology development, with algorithms used to program computer vision, smart factory operations, and other back office operations.

But in some cases, machine learning can be used maliciously. More and more bad actors adopt contradictory machine learning to hack and recycle machine learning models to their advantage.

Experts on machine learning use cases

“Currently there are markets that are gaining momentum in many industries, particularly in text analytics, customer sentiment analysis, referral systems and fraud detection. Additionally, machine learning has transformed data analytics, making it more accessible, more actionable, and more efficient, enabling rich insights to be extracted from data. -Bartowsz Wojtowicz, Machine Learning Engineer at Netguru

“The most obvious use cases in NLP and machine learning are voice assistants and chatbots. But behind the walls of the company, other systems are put in place to improve the overall efficiency of a company: route emails to the right recipient and flag those requiring an immediate response; extract key information from legal agreements or other documents for better compliance and better risk management; compare historical offers and competitor documentation to quickly create personalized quotes. … The range of applications is very wide. -Marie Pierre Garnier, vice-president at Cortical.io

Machine learning providers

Dozens of technology vendors offer prepackaged products, advice, and other services in the area of ​​machine learning.

In many cases, specialist startups appear to focus on a key area or use case for machine learning, such as customer sentiment analysis or search recommendation engines.

However, when it comes to a long-term machine learning strategy and a large portfolio of enterprise-level solutions, these large companies provide a high volume of quality solutions:

  • IBM
  • Microsoft Azure
  • AWS
  • Google cloud
  • SAS
  • Selling power
  • H2O.ai
  • Alteryx
  • Netguru
  • Data bricks
  • Intelligence
  • RapidMiner

The majority of companies in this space are young, specialized, and are constantly changing models and methodologies to create better machine learning products. With so much momentum and development in the market, expect to see the best players and machine learning products evolve in the years to come.

Read more : Ask an executive: enterprise data analytics


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