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Are coding bootcamps worth it? – IT PRO

It was only until recently that, for many, software development seemed like an out-of-reach career reserved only for the most intelligent whizzkids everyone knew at school. But with the proliferation of self-paced online courses, free tutorials, and software development bootcamps plus wildly contentious government promotion a career in programming has become less intimidating to a wider pool of individuals.

Bootcamps have arguably become the most popular route for prospective programmers to reskill themselves towards a high-paying, secure career path. However, that popularity has given rise to organisations, of varying degrees of trustworthiness, selling the dream of becoming job-ready in often unrealistically short time frames. The harsh reality is that many come across as little more than grifters trying to spin a quick profit.

Indeed, it can be difficult to wade through and verify the scores of organisations claiming to deliver a new career within weeks. It can also be equally difficult to understand which one will equip students with the most employable skills. Not all programming bootcamps are the same, though, and there are some gems out there, with hallmarks including large numbers of positive reviews and commendations from well-known companies.

The debate between hiring programmers whove undertaken three or four-year computer science degrees, against those whove completed a 12-week development bootcamp, has been simmering away for years. Senior engineers and IT recruiters, who are the only ones standing in the way of prospective developers and their dream jobs, reveal what bootcamps really offer and whether they're worth the money in today's job market.

Its the age-old argument: academic knowledge vs hands-on experience two hugely valuable qualities in any profession but ones rarely taught together.As far as coding bootcamps versus computer science degrees go, experts echo this sentiment.They agreea computer science degree offers a holistic understanding of programming, but cant offer students the same level of hands-on experience as a bootcamp can.

Among them is Mark Chaffey, CEO at hackajob a platform for companies to hire software developers and assess them based on their overall competency. He adds, however, that going down a self-taught, or bootcamp route, doesnt necessarily mean you cant learn the theory at a later date. Some even raise the prospect of those at university potentially wasting time by learning material in the first year of a degree thats later irrelevant towards the end of the programme.

A computer science graduate will learn more of the theory required to be a software engineer, whereas a bootcamp graduate will have more hands-on experience, he says. Wed always suggest that bootcamp engineers study computer science theory in their spare time, as this will really help them to upskill overall.

Sam Rowlands, co-founder and community director at Distributed a company that manages flexible teams of software and web developers tells IT Pro that unless you have a degree from a top university, graduates will face the same struggles as those coming from bootcamps. Experience reigns supreme, and without a solid portfolio of work, aspiring developers will need to undertake internships and other schemes to get the experience they need.

Graduates can, of course, tick the I have a degree box, he says. Although the saturation of degrees means each one is becoming less impactful to prospective employers, [the university courses] should guarantee that students will leave with a relatively good understanding of coding fundamentals.

Through bootcamps, attendees should leave knowing syntax and the basics of writing code, with some portfolio pieces too. They should also know how to ask the right questions to find the answers they need.

From an employers perspective, there are drawbacks to both routes and both types of graduates will have to spend their own time developing the key employable skills needed to be successful in the job market. But there can be a lingering doubt over how a degree-less candidate will be seen among the stack of applicants for any given developmentjob.

For some, a candidates mettle is only really tested in the interview when the stakes are high. A good application can be clad with all the degrees under the sun, but how they perform on the day, and how well they can demonstrate their suitability for the role, will be the ultimate determining factor.

On the flip side, some corners of the industry accept software development bootcamps can produce highly skilled programmers, depending on the quality of the course, and providing the individual has internalised its content. As Nick Sewell, UK head of software development at Expleo says, bootcamps are still relatively new and, as such, there's a lot of misinformation around them, and the programmers they produce. Often, its thought that bootcamp graduates lack the sameapproach to problem-solving and programming as computer science graduates, for example.

Coding bootcamps can be perceived in different ways, he says. However, as they become more popular, businesses are starting to recognise that job candidates coming through coding bootcamps successfully often show a practical approach to solving problems in a fast-moving environment. This can mirror a real work environment.

Smaller companies and startups are more likely to be receptive to hiring those from alternative backgrounds, whereas large companies often still prefer those with CS degrees, he adds. The bootcamp route will also naturally be more favourable for junior roles rather than more senior positions where experience will really be the key differentiator between candidates.

Higher than average salaries in tech, against many other industries, naturally leads us to question whether a short-term coding bootcamp can really offer the same financial prospects as a dedicated multi-year degree. While its one of the most marketable aspects of bootcamp programmes, the financial prospects of these graduates are slightly worse at least in the early stages of their careers.

Computer science graduates can expect better salaries, assuming the level of experience is broadly similar, Sewell says. They have the practical skills that can be applied immediately to the job rather than needing training to get up to speed which comes at a cost to the employer.

This conclusion, of course, will depend on the bootcamp, the employer, the specific position, and each roles requirements. Experts tell IT Pro, for instance, theyve seen some bootcamp graduates secure better offers than their counterparts with degrees, although its certainly a rarity.

The prevailing advice is that prospective programmers should focus less on the total compensation, especially when looking for their first job. Instead, they should find a company with which they can develop their skills in a way that sets their career up for life. The money will come, but having the right first job can make a huge difference in the long term.

The phrase if something looks too good to be true, it probably is rings true in most scenarios in life. When aspiring developers are served, for example, a targeted advert through social media promising a high-paying career in as little as 12 weeks or even eight weeks that same scepticism can take hold.

The truth is bootcamp graduates can expect to be job-ready, at least for a junior developer position, and that employers certainly are open to hiring them. What might not be communicated well enough, though, is how much additional learning they will need to do on the job compared to their university-graduated peers.

Its likely that if a company hires two junior developers, one from a bootcamp and another plucked straight from university, the latter will progress quicker thanks to their existing theoretical understanding, experts say. Similarly, if its a case of the same two candidates vying for the same junior role, then a computer science graduate with a robust GitHub portfolio will in most cases be seen as the safer choice. However, that doesnt mean bootcamp-trained developers are at a significant disadvantage. There are plenty of employers that realise the value such individuals can add, and, as bootcamps become more popular, the quality of their graduates may be perceived more favourably in time.

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Postdoctoral Research Associate, Department of Computer Science job with DURHAM UNIVERSITY | 311174 – Times Higher Education

Department of Computer Science

Grade 7:-37,474 per annumFixed Term-Full TimeContracted Hours per Week:35Closing Date :15-Oct-2022, 6:59:00 AM

Durham University

Durham University is one of the world's top universities with strengths across the Arts and Humanities, Sciences and Social Sciences. We are home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives.

The University sits in a beautiful historic city where it shares ownership of a UNESCO World Heritage Site with Durham Cathedral, the greatest Romanesque building in Western Europe. A collegiate University, Durham recruits outstanding students from across the world and offers an unmatched wider student experience.

Less than 3 hours north of London, and an hour and a half south of Edinburgh, County Durham is a region steeped in history and natural beauty. The Durham Dales, including the North Pennines Area of Outstanding Natural Beauty, are home to breathtaking scenery and attractions. Durham offers an excellent choice of city, suburban and rural residential locations. The University provides a range of benefits including pension and childcare benefits and the Universitys Relocation Manager can assist with potential schooling requirements.

Durham University seeks to promote and maintain an inclusive and supportive environment for work and study that assists all members of our University community to reach their full potential. Diversity brings strength and we welcome applications from across the international, national and regional communities that we work with and serve.

The Department

The Department of Computer Scienceis one of the very bestin the UK with an outstanding reputation for excellence in teaching, research and employability of our students. Ranked20th in the UK in REF2021, theDepartment of Computer Scienceisproud of the emphasis we place on equality, diversity and inclusion and are working hard to make our department the no.1 University in the UK for women to study Computer Science.

The Role

Applications are invited for a Postdoctoral Research Associate inComputer Visionwith a particular emphasis onMachine Learning.The research project,entitled Natural Intelligence for Robotic monitoring of Habitats, aims to serve the European Green Deal via monitoring the natural habitats of N2000N with robots able to effectively move in dunes, grasslands, forests, and alpine terrains. The European project is 8 partners strong and it is led by the University of Pisa. It is a project aligned with the transformative policies contained in the European Green Deal, a robust scientific and technology answer to the global warming and pollution problems, affecting millions of flora and fauna species. NI ambition is to introduce disruptive technology and play a role in developing intelligent techniques for environmental monitoring, at present carried out with only human resources. Durham University leads the work package on computational botany, to develop algorithms for detection and identification of typical and invasive species in the studied habitats.

The successful applicant will be expected to:

Responsibilities:

This post is fixed term, available from 1st November 2022 until the end of March 2024. There is the potential for an extension to the end of June 2024, dependent on an upcoming decision by the funding body.

The post-holder is employed to work on research/a research project which will be led by another colleague. Whilst this means that the post-holder will not be carrying out independent research in his/her own right, the expectation is that they will contribute to the advancement of the project, through the development of their own research ideas/adaptation and development of research protocols.

Successful applicants will, ideally, be in post by 1st November 2022.

How to Apply

For informal enquiries please contact Professor Paolo Remagnino (paolo.remagnino@durham.ac.uk). All enquiries will be treated in the strictest confidence.

We prefer to receive applications online via the Durham University Vacancies Site. https://www.dur.ac.uk/jobs/. As part of the application process, you should provide details of 3 (preferably academic/research) referees and the details of your current line manager so that we may seek an employment reference.

Applications are particularly welcome from women and black and minority ethnic candidates, who are under-represented in academic posts in the University.

What to Submit

All applicants are asked to submit:

Next Steps

The assessment for the post will include an interview. Shortlisted candidates will be invited for interview and assessment in October 2022.

The Requirements

Essential:

Qualifications

Experience

Skills

Desirable:

Experience

Skills

DBS Requirement:Not Applicable.

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Postdoctoral Research Associate, Department of Computer Science job with DURHAM UNIVERSITY | 311174 - Times Higher Education

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S.C. 4-H joins in weeklong celebration of the power of youth – Clemson News

October 6, 2022October 6, 2022

Its often been said knowledge is power, and South Carolina 4-H Youth Development believes in the power of young people and brings opportunity to glean that knowledge directly to kids from all backgrounds.

The week of Oct. 2-8 marked National 4-H Week in the U.S. to highlight the remarkable 4H youth in communities around the country and showcase the incredible experiences that 4H offers young people as the nations larget youth development organization.

In South Carolina, Clemson University Cooperative Extension 4-H Youth Development uses a learn-by-doing approach to help youth gain the knowledge and skills to be responsible, productive and contributing members of society.

South Carolina 4-H Assistant Director Ashley Burns said the week was a time to recognize the more than 6 million young people nationwide that 4-H is empowering with skills for a lifetime.

This years theme of Opportunity for All, Burns said. 4-H is a place for youth of many backgrounds to come together and find their spark. Our members are developing skills that will help them lead for a lifetime. We celebrate our passionate parents, tireless volunteers, and dedicated professionals who create a space for young people to belong and succeed all year long.

And the success of those young people is really the key to it all.

At S.C. 4-H State Congress this summer, for example, Maggie Thomas of Dorchester County, told her tale of spending more than a decade in 4-H after her family began a club in a rural community in St. George, S.C.

As the outgoing State 4-H Teen Council President, Thomas, who has been accepted into nursing school this fall at Anderson University, told the future young leaders in the organization that her 4-H experience has taught her the value of moments big and small.

Everyone is always so anxious to race to the end, to find the happily-ever-after, but 4-H helped me to realize that its not always about the happy ending, sometimes its about the story that takes you there, Thomas said.

Thomas challenged her fellow 4-Hers to become the authors of your own stories.

Life is a moment that we only get once, and I hope you choose to live it to the absolute fullest, she said.

And when it comes to celebrating 4-H successes in South Carolina, one would be remiss not to mention the 4-H Pinckney Leadership Program celebrating its fifth anniversary albeit 1 year late due to the pandemic.

Since 2016, the 4-H Pinckney Leadership Program has been dedicated to equipping middle and high school students to influence the state of South Carolina as better leaders, positive role models and engaged citizens.

The late Sen. Clementa Pinckney, of course, was among nine African Americans killed by white supremacist Dylan Roof during Bible study at the Charleston AME church where he was the senior pastor. While his life came to an end on June 17, 2015, Pinckneys passion for leadership lives on though the namesake program.

And while it was not able to formally celebrate its fifth anniversary last year due to the COVID-19 pandemic, the Pinckney Program did hold three events this summer two at Clemson Universitys Hendrix Center and another in Aiken to recognize its success.

And the programs success is not just a buzzword. It has served more than 2,000 youth in South Carolina and, this year, had four valedictorians at high schools across the state. But perhaps its most significant impact has been driving young people to be leaders in their communities.

The 4-H program has impacted my plans for the future by encouraging me to continue being a voice for those around me, said DeQuae Craft, a student at Dreher High School in Columbia. I want to go into some type of public work where I can bring about change. When we went to Washington, D.C., we met with House Majority Whip Jim Clyburn, who was ready to offer an internship to any of us upon graduation to see firsthand how being a leader and bringing about change works for a huge politician on a day-to-day basis. I plan to take him up on this opportunity! Thanks to 4-H for helping me to make such a connection.

And no showcase of the experiences 4-H offers young people would be complete without mention of the recently announced $5 million grant from Google.org to the National 4-H Council, aimed at expanding computer science skills and education to underserved youth across the country

To date, we have served over 3,000 youth with our computer science (CS) programs, Burns said. We look forward to making the most of this investment by continuing and expanding CS programming efforts and engaging with the new National 4-H Summit, Clover and PYD Academy experiences.

As for the National 4-H Week celebration itself, the week featured daily themes on the weekdays: from Make it happen Monday where youth were asked to complete a random act of kindness to Find your spark Friday, where 4-Hers were encouraged to talk about their favorite project area.

More information on S.C. 4-H Youth Development and ways to get involved are available here: https://www.clemson.edu/extension/4h/.

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Poland’s fastest ever supercomputer computer unveiled The First News – The First News

Named Athena after the Greek goddess of wisdom, the computer has a mind-boggling computing power of over 7.7 petaflops and according to Krakws elite AGH University of Science and Technology, is set to give a boost to Polish science and innovation. ukasz Ggulski/PAP

Poland's fastest ever supercomputer has been unveiled in Krakw at the city's elite AGH University of Science and Technology.

Named Athena after the Greek goddess of wisdom, the supercomputer has a mind-boggling computing power of over 7.7 petaflops and according to the university it is set to give a boost to Polish science and innovation.

"The launch of the supercomputer offers completely new opportunities for computationally-intensive science," said Marek Magry, deputy director for High-Power Computers at the AGH University of Science and Technology Cyfronet.

Athena now takes its place as not only the fastest supercomputer in Poland, but also 105th in the world, and 9th on the Green500 list of the world's greenest supercomputers.ukasz Ggulski/PAP

Athena now takes its place as not only the fastest supercomputer in Poland, but also 105th in the world, and 9th on the Green500 list of the world's greenest supercomputers.

The supercomputer makes it possible to significantly shorten the time needed to perform calculations, which with the use of single computers would often take many years - sometimes over 150, 700 or even 1,000 years.

With Athena, these tasks can be performed within a few hours, and for large tasks a few days.

Athena consists of 48 servers with AMD EPYC processors, each with 1TB of RAM, having a total of 6144 CPU computing cores. In addition, the machine is equipped with 384 NVIDIA A100 GPU cards.

Athena consists of 48 servers with AMD EPYC processors, each with 1TB of RAM, having a total of 6144 CPU computing cores. In addition, the machine is equipped with 384 NVIDIA A100 GPU cards.ukasz Ggulski/PAP

Thanks to this, the supercomputer is able to perform 7.7 trillion operations per second.ukasz Ggulski/PAP

Thanks to this, the supercomputer is able to perform 7.7 trillion operations per second.

The immense measurements of the computers performance are matched by its size. Based on footprint, it is similar in size to a small apartment. Like an apartment, it has an entrance, in this case, neat double sliding doors.

A corridor runs the length of Athena, leading off which are doors, presumably offering access to cavities stuffed with the computers high-tech innards.

A permanent part of Academic Computer Centre CYFRONET AGH in Krakw, the supercomputer will also be available for researchers from all over Poland thanks to PLGrid infrastructure.

Similar in size to a small apartment, like an apartment it has an entrance, in this case, neat double sliding doors.AGH

A corridor runs the length of Athena, leading off which are doors, presumably offering access to cavities stuffed with the computers high-tech innards.AGH

Athena has been installed in Krakw as part of the European High-Performance Computing Joint Undertaking (EuroHPC JU), which aims to create a pan-European computing infrastructure.

EuroHPC JU selected five sites where new supercomputers will be installed to build Europe's data processing infrastructure - Greece, Ireland, Germany, Hungary and Poland.

"The selection of Poland as the place of installation of one of the EuroHPC JU systems is an important distinction, confirming the countrys competence in the maintenance and operational use of supercomputers at the world level, the Academic Computer Centre Cyfronet AGH said in a statement.

Athena will make it possible to carry out scientific research on a much larger scale than before, in particular for the design of medicines and new materials.

Athena will make it possible to carry out scientific research on a much larger scale than before, in particular for the design of medicines and new materials.ukasz Ggulski/PAP

Until recently, the fastest supercomputer in Poland was Altair, launched in 2021 and located in the Poznan Supercomputing and Networking Center, having nearly 6 petaflops of computing power.

Currently, Altair is the second fastest supercomputer in Poland, while ranking 145th in the world.

It is used primarily for research on artificial intelligence and data analytics in the sciences such as quantum physics, quantum chemistry and biology.

The third fastest computer in Poland is Ares, which, like Athena, is located at the AGH University of Science and Technology in Krakow. The supercomputer is ranked as the 290th fastest supercomputer in the world.

Until recently, the fastest supercomputer in Poland was Altair, launched in 2021 and located in the Poznan Supercomputing and Networking Center, having nearly 6 petaflops of computing power.PCSS

The fourth and fifth fastest computers in Poland are respectively Tryton Plus located in Gdansk (2.82 petaflops, 462nd place in the world) and Prometheus (2.35 petaflops, 475th place in the world).

Polish supercomputers are still quite a bit behind the fastest machines in the world. Currently, the leader, from the United State, is Frontier, which is capable of reaching the computing power of 1685 petaflops.

Second place is occupied by the Japanese Fugaku with a computing power of 537 petaflops, while the third fastest supercomputer in the world is the Finnish computer LUMI with a computing power of 214 petaflops.

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Science Needs the Right Attitude | News – NREL

For Nalinrat Guba, Every Discovery Starts With Curiosity

"Science" was a class you probably took in school, but the subject matter you studied was not the only thing you learned. Your science classes helped you develop a mindset, a way of problem-solving, that you can still tap into today in any line of work.

People with various academic and experiential backgrounds collaborate with the researchers at the National Renewable Energy Laboratory (NREL). They have opportunities to work with people like Nalinrat Guba, whose scientist mindset is complemented by those of an artist, athlete, and caretaker. These perspectives make her a versatile and impactful member of NREL's Computational Science Center, where clients come to achieve their goals leveraging computational science, high-performance computing, applied mathematics, and advanced computer science, visualization, and data.

A famous quote attributed to Pablo Picasso goes: "Learn the rules like a pro, so you can break them like an artist." As a ballet student, Guba knows that rules are the foundation from which creativity blossoms. Many hours of plis at the bar preceded her ability to do leaps and splits.

The same is true for her growth as a scientist. When she was studying statistics as an undergraduate student in the early 1980s, "We did a lot of number crunching and learning statistical theory," she explained, adding, "Our statistics studies included these new ideas called programming languages, but there was no such thing as software engineering yet." But the mysteries around the computing world unlocked her imagination and led her to a graduate degree in computer information systems and artificial intelligence (AI). "I was obsessed with the field," she exclaimed, noting that her studies ignited an intellectual curiosity that launched her into the world of big data and machine learning.

Guba has experienced the scientific transformations brought on by the digital age, and she sees where the wave of ingenuity is heading. As a research data systems engineer at NREL, she is helping clients solve not just today's problems but tomorrow's problems too. That is where her creativity shines.

Her work in data analysis and computational science combines areas such as cloud computing, database technologies, real-time data streaming, and software quality assurance, among many others. Her crosscutting work can be found in the Chemical Catalysis for Bioenergy Consortium's Catalyst Property Database (CPD) project, an online library of catalyst property data that aims to make it faster and cheaper to identify the right catalyst formula for specific biofuel production processes. The CPD currently includes density functional theory-computed adsorption energies for surface intermediates in catalytic reactions. For this project, NREL researchers and NREL's Data, Analysis, and Visualization (DAV) group worked together to design a database system and a web application that enable researchers to reduce the time required to perform literature searches for data on previously computed catalytic pathways and intermediates. By providing data in a central, searchable location, it also enables accelerated discovery of catalyst descriptor and property correlations that are a common bottleneck in applying predictive approaches to catalyst research and development.

"I think about how to improve data systems by analyzing data to understand why it is designed a certain way and consider alternatives," Guba said. "I really enjoy designing new solutions that are useful for our funders and partners."

Guba knows data management best practices and leaves room for the creative sparkwhether it comes from within, from her team members, or her client. Hers is not a cookie-cutter approach to work, but that is what makes it so enjoyable for her.

"I love learning, and I learn something new with every project," she said, "which is probably why I can say that every project feels like a favorite project in some way."

When Guba swims laps in the pool, she switches between strokes to work different muscles and change her view. She does not spend too much time looking in the same direction. If your data project is the pool, Guba's job is to help you figure out what combination of strokes will get you to your goal.

"I love the challenge of figuring out that puzzle," she said. "You know where you want to get to, so it's a matter of figuring out how and in what way that is efficient and makes sense for you."

In NREL's Computational Science Center, you will find Guba thinking of different ways to manage data as part of the data team in the DAV group.

If anyone needs help with data management, analysis, and visualization, they call in her team of experts to strategize and execute data collection, storage, and management. Complementary teams focused on data analysis and visualizations can help you interpret data and bring it into an immersive three-dimensional space to find hidden insights.

"I've worked on several projects that all dealt with data management differently," Guba said. "Our team's approaches to data management solutions range from using relational database management systems for scientific data to using data repositories as document hubs for energy materials networks. I helped expand a data streaming platform to support larger data sets and real-time data collection for lab equipment and devices; enabling data scalability and redundancy is a common challenge we help solve by building different infrastructures based on unique needs."

The DAV team also utilized the data streaming platform to collect and distribute metrics and jobs data from NREL's high-performance computer, Eagle, in real time. These data sets are used in several energy analysis projects. The Artificial Intelligence for Data Center Operations (AIOps) project uses high-performance-computer data collected via NREL's data streaming platform for data analytics and machine learning to create new solutions to maximize data center efficiency and resiliency. This project is a partnership between Hewlett Packard Enterprise (HPE) and NREL's Computational Science Center.

"Our success can be attributed to the diverse expertise of team members, who are data scientists, data engineers, visualization experts, and systems engineers," Guba remarked.

External data access requirements presented a unique challenge for the data team in how to securely publish NREL data streams to HPE scientists for their models. The team explored several options and was able to determine the most efficient way to synchronize NREL data from its streaming platform to HPE internal processes.

Guba loves the inquiry process behind her work as a data scientist. It is something she first noticed as a cultural phenomenon when she immigrated to the United States for her master's program.

"In Thailand, where I grew up, you were considered a good student if you accepted everything you were taught, but [in the United States] it is almost the opposite," Guba noted. "You are a good student if you start thinking and questioning, to voice your opinion, to disagree. I really value that mentality, even now as a professional."

Challenging each other to find the best solutions is an ideal that drew Guba to NREL and has bonded her to her team.

"I always wanted to work at NREL," she said. "I'm working with all these smart people, all day long. I'm so thankful I work with people from whom I can learnmy co-workers, team members, and managers at every level."

As a mom, Guba was never afraid of admitting to her kids that she did not know everything. But that did not keep her from trying to find answers. In the fast-paced world of AI advancements, Guba knows there is a degree of uncertainty and inaccuracy that needs to be addressed.

"We want to move quickly to keep up with the technology," Guba said, "but we also realize that there are several aspects of the AI technology that we don't yet understand and that still need to be explored in order for us to utilize it to its full potential."

A part of that work is creating data systems that mitigate influential factors like unconscious bias.

"As a human being, you have unconscious bias, whether it be the influence of your culture or upbringing," Guba said. "It is difficult to really stop and recognize that. But if you don't think about it, that is unconscious bias. The same thing exists when I work with a system. It's easy to overlook the fact that your results might be biased."

This industry-wide challenge is one Guba is actively pursuing as part of NREL's larger mission to integrate energy justice principles into its solutions, including leading research to address bias in clean energy innovation.

"It's exciting to be at the forefront of this important work, to create a clean energy future for everyone," she said. "If I can be a part of the solution in some way, make even a small differenceit doesn't have to be big or publicthat is deeply gratifying."

Guba is one of many NRELians working on interdisciplinary teams across the energy sector. Learn more about the collaboration opportunities inside NREL's Computational Science Center.

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Op-ed: ‘Is college even worth it?’ It’s certainly not the only path to a successful career – CNBC

At an individual level, sometimes a trade school makes the most sense for your or your children's financial future.

Tom Werner | Digitalvision | Getty Images

While my parents never had the opportunity to attend college, they were indeed very successful.

Their success afforded me the opportunity to pursue higher education, but ironically, I doubt I'll ever be nearly as successful as them.

My mom is one of the founders of the Wealth Enhancement Group to which I would mention her as "my inspiration to be in the financial services industry."

As for my dad, he wrote computer programs that sorted data and he turned it into a direct mail marketing business.

But what I think makes them so special is on top of all that, they also did real estate development. My dad got his general contractor license so he could oversee the projects. Then they went on to design their own homes. They were never scared of losing it all because they never had it all.

I doubt I'm not the only one who feels this way about higher education. As a financial advisor, I see this narrative play out every day in my office with clients.

Many people still believe attending a four-year college is the only way to financial stability and success, but that isn't always the case.

Over the past few decades, the middle class has expanded, along with the desire for white-collar jobs. Therefore, college became the default path, contributing to the cost of higher education increasing 169% from 1980 to 2020, according to a Georgetown study.

The pool of candidates with a college degree became so saturated that it enables employers to keep entry-level wages low. To make matters worse, roughly 34% of college graduates are underemployed.

Here's a look at other stories impacting the financial advisor business.

A return on investment from a college education has been in steady decline for a while. And that gap between cost and payoff has become so large that it recently required government intervention.

And while President Joe Biden's student debt forgiveness plan has undoubtedly provided some relief for many Americans, it's just a Band-Aid on a major laceration.

As tuition continues to rise and wages don't seem to match, many Americans need to ask the question: "Is college even worth it?"

As a parent, I know that we're often so fearful of our children missing out on opportunities that we sometimes steer them away from paths that deserve a longer look. As an advisor, I find it frightening that we've normalized advice to take on mountains of debt without even weighing alternatives.

And with the way things are heading, the value of a college education in both perception and reality will be drastically different in 10 or 20 years, when students (and their parents, many of whom are currently feeling anxious about how to save for college) need to make a decision about what to do after high school.

Consider all the options. Hand in hand with the premium placed on a college education is a terrible stigma about trade schools and blue-collar jobs. But the pandemic showed us that we need those jobs to function as a society. And at an individual level, sometimes a trade school makes the most sense for your (or your children's) financial future.

For others, direct entry into the workforce makes the most sense.

We continue to see more job growth in construction, health care, computer science and tech. In those sectors, there's an abundance of opportunity outside of traditional schooling. Coding boot camps, the growth of opportunities for entrepreneurship and the gig economy have all transformed how we should be thinking about the future. It's a future that doesn't necessarily lead through a four-year college.

What are the implications for financial planning?

Emotionally and psychologically, reassessing college plans might help you reorient your current priorities.

Maybe you're sacrificing an emergency fund or saving for retirement because of the pressure of rising tuition. For you, knowing that there are good and for many individuals, better options outside of college might help you feel at ease putting money where it should be going.

And 529 college savings plans the most popular vehicle for college savings are much more flexible than you might realize. Assets in a 529 plan can be used at two-year associate degree programs, trade schools and vocational schools.

The most common fear stopping people from starting a 529 early is the prospect of paying a 10% penalty and taxes on the earnings should the child not use the funds for qualified education expenses, but don't let the fear of the penalty stop you from good planning. Those penalties are offset by tax-deferred gains and recapturing state income tax deductions.

I'm about investing in people, not blindly investing in a path that everyone says is the only way to success. There are many doorways to a financially stable, prosperous life. I hope you'll take the time to consider all of them.

Nicole Webb, Senior vice president/financial advisor at Wealth Enhancement Group

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Op-ed: 'Is college even worth it?' It's certainly not the only path to a successful career - CNBC

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Walsh named UMaine Machias dean and campus director – UMaine News – University of Maine – University of Maine

Megan Walsh

Megan Walsh, a professor of English and administrative leader at St. Bonaventure University, has been named dean and campus director of the University of Maine at Machias, effective Dec. 19, and will join the University of Maine Presidents Cabinet.

The University of Maine welcomes Dr. Walsh as the dean and director of our regional campus, says UMaine President Joan Ferrini-Mundy. She is joining us at a particularly exciting time for UMaine Machias, with the excellent work of faculty, staff and students, and ongoing advances in unified accreditation. I look forward to working with her.

Walsh has been a member of the St. Bonaventure community for more than a decade. In addition to being a professor, she has served in several administrative roles, most recently as director of St. Bonaventures Honors Program.

In 202122, Walsh was acting dean of the School of Arts and Sciences. She helped secure external funding to support computer science and cybersecurity technology upgrades, and to build a technological literacy learning module into the first-year general education curriculum.

As chair of the Department of English, Walsh led multiple curricular revisions, including the development of a new Literary Publishing and Editing B.A. Program.

Walshs research focuses on early U.S. literary culture. She earned a Ph.D. from Temple University.

UMaine Machias will benefit from her administrative leadership and depth of experience in the liberal arts and the humanities, says John Volin, UMaine executive vice president for academic affairs and provost. Dr. Walsh will build on the excellent work of Heather Ball and Dan Qualls to advance UMaine Machias as a critical partner and resource in the Down East region.

I believe deeply that universities have an opportunity and a responsibility to be active members in their communities, Walsh says. I am absolutely thrilled to be moving to the Down East region to serve UMaine Machias and look forward to building many new relationships there.

Contact: Margaret Nagle, nagle@maine.edu

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The Download: TikTok moral panics, and DeepMinds record-breaking AI – MIT Technology Review

1 Hurricane Ian is likely to be Floridas deadliest in 87 yearsThe majority of the 100+ casualties are believed to have drowned. (WP $)+ Areas that embrace solar power fare better in extreme weather. (Slate $)+ Bangkoks flooding problem is steadily worsening. (New Yorker $)

2 Its not too late to avoid a winter of extreme illnessAccepting flu and covid shots can help to lessen the blow. (The Atlantic $)+ Covid vaccines don't harm menstrual cycles, a new study says. (Economist $)+ This nanoparticle could be the key to a universal covid vaccine. (MIT Technology Review)

3 You shouldnt worry about the US election getting hackedAt least, thats what the DBI and CISA are saying. (Motherboard)+The alt-rights tech tactics have evolved since the Capitol riots. (Slate $)+ Election misinformation is still thriving in non-English languages. (CNET)

4 Pollution particles can reach babies in the wombDepending on how much pollution the mother is exposed to, soot particles can cross the placenta. (Bloomberg $)

5 Big Tech destroys millions of data storage devices a yearEven though they could wipe and resell them, companies are scared stiff of confidential data falling into the wrong hands. (FT $)

6 Inside the race to end HIVusing CRISPRIn theory, the technology could return cells to a near-standard state. (Wired $)+ The scientist who co-created CRISPR isnt ruling out engineered babies someday. (MIT Technology Review)

7 Chinese apps are still thriving in IndiaDespite the Indian governments efforts to push users toward native apps. (Rest of World)+ Censorship-evading apps are being stamped out in China. (TechCrunch)

8 The rise and rise of facial recognition in US airportsSelf-check in kiosks are being phased out in favor of the controversial technology. (NYT $)+ If you get your face scanned the next time you fly, heres what you should know. (MIT Technology Review)

9 What its like to visit an Instagram tourist trapIt sounds like a whole lot more trouble than its worth. (Vox)

10 Its time to embrace robot dolphins Theyre an ethical alternative to the real thing in captivity. (Hakai Magazine)

Quote of the day

The spam finds its way into my inbox, too.

Commissioner Ellen L. Weintraub of the Federal Election Commission, who helps police US political campaigns, tells the Washington Post that even she cant escape the deluge of political spam emails.

The big story

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Cognitive Science: The Study of Human Mind and Intelligence – Spiceworks News and Insights

Cognitive science is defined as the field of study that interfaces multiple disciplines such as neuroscience, computer science, psychology, artificial intelligence (AI), philosophy, linguistics, and anthropology to understand the cognitive functioning of the human mind and the underlying mental processes. This article explains cognitive science in detail, its essential methods, and the top five applications in the real world.

Cognitive science refers to the field of study that interfaces multiple disciplines such as neuroscience, computer science, psychology, artificial intelligence (AI), philosophy, linguistics, and anthropology to understand the cognitive functioning of the human mind and the underlying mental processes. It focuses on comprehending the nature of the human mind and how it uses mental representations to realize, process, transform, and manipulate knowledge.

Cognitive researchers aim to develop a deeper understanding of human intelligence and behavior by investigating the functions of nervous systems that involve critical mental faculties such as perception, memory, emotional experience, learning, reasoning, problem-solving, decision-making, and language. The history of cognitive science dates back to the 1950s, coinciding with the emergence of artificial intelligence.

Fundamentally, cognitive science relies on developing representative structures of the mind and analyzing computational procedures that run on those structures to understand better how the thinking process unfolds within the human brain. Here, mental representations are similar to computer data structures, while the computational procedures are analogous to computational algorithms that operate on the said data structures.

Cognitive science encompasses several approaches to reveal the nature of mental representations and computational procedures. The most commonly used methods include:

The rule-based approach has typically been around since the 1970s. According to this model, thinking constitutes the application of inference rules of the kind IFTHEN to symbols to represent the structure of language sentences.

For example, consider the rule IF you run too fast in a full-marathon, THEN you will suffer from injuries. Applying this rule to the symbol you ran too fast in a full marathon gives the output symbol you will suffer from injuries. On using another rule, IF you suffer from injuries, THEN your body should rest for 10 hours to recover, to the latter symbol, it yields the symbol your body should rest for 10 hours to recover.

Rule-based models have a critical role in modeling the complex facets of human thinking such as language use or problem-solving. Such rule-based approaches have been extensively used in the medical field to develop expert systems for practical purposes.

The connectionist approach emerged in the 1980s and referred to parallel-distributed processing models. These use artificial neural networks (ANN) to model neural structures in the brain to simulate human thinking. In contrast to rule-based approaches, connectionist models run parallel computational processes rather than in a serial fashion.

Typically, rule-based systems use inference rules to simulate thinking phenomena. However, connectionism is more about simultaneously satisfying several criteria and data-processing constraints. Thus, the connectionist model is used in modern facial recognition applications. It is also used to comprehend psychological aspects that include language learning, which is key to deciphering human thinking.

The development of theoretical neuroscience came to the fore with the ultimate integration of the rule-based model and the connectionism approach. This happened in the 1990s and 2000s as it was when cognitive science got linked to neuroscience with the development of brain-related technologies and instruments such as magnetic resonance imaging (MRI) and functional MRI (fMRI) that could observe brain activity in real-time in experimental setups.

Moreover, with the emergence of theoretical neuroscience, computational models were developed that could visualize the firing neurons (brain activity) within the brain. This helped decode the decision-making process, an intricate process (high-level reasoning) happening in the prefrontal cortex region of the brain. Moreover, these models also helped better understand human emotions associated with the brains amygdala region.

Specifically, the field combined inferential rules and neural networks to build models that could simulate far more mental functions than individual rule-based, or connectionist models could achieve.

Cognitive science relies heavily on Bayesian models to understand psychological traits such as vision, motor control, social cognition, learning, and others. The foundations of these models are derived from Bayes theorem, which associates probability factors with human understanding. Such models are also used in modern robotic applications.

Cognitive science has been using artificial intelligence to decode the human mind since the 1950s. Moreover, with recent advancements in AI, deep learning approaches are used in applications such as gaming, object recognition, language translation, and other allied areas.

On the fundamental level, deep learning is developed on the foundation of connectionist models and theoretical neuroscience. However, it uses far more complex and advanced algorithms, along with neural networks having a multitude of neural layers. Taking a step further, deep learning is now being explored through reinforcement learning; wherein learning is combined with the rewards from previous examples to fine-tune the model.

Today, deep learning is penetrating neuroscience and is bringing about significant development in the areas of cognitive psychology.

Apart from the approaches mentioned above, mental representations and computations that reveal the details of how the mind works (how neurons fire while performing specific tasks) have been explored through cognitive theories of logical rules, concepts, images, propositions, and analogies.

See More: Top 10 Machine Learning Algorithms in 2022

Cognitive science aligns diverse outlooks and fields to realize the scientific study of the mind and intelligence. The primary methods involved in cognitive science include psychological experiments performed on human participants, brain imaging techniques, and computer modeling approaches.

Lets understand each method in greater detail:

To quantify and comprehend intelligent behavior, it is inevitable to study subjects behavioral responses to various stimuli as it reveals the way any stimuli are processed within the human brain. One can achieve this by performing psychological or behavioral experiments that involve participants. Such experiments show the behavioral traits and behavioral choices of users.

These experiments help in tracking the following variables for the involved participants:

Brain imaging allows one to observe the subjects brain activity in real time while performing a task. It associates user behavior with cognitive brain function to draw insights into how the brain processes information. Brain imaging techniques are central to cognitive neuroscience.

Some of the instruments used for imaging purposes:

Computational modeling requires a systematic representation of a problem that is logical to interpret and address. This is where the mental representation discussed earlier comes into play. Here, computational models similar to mental operations are tested for evaluating the performed behavioral or psychological experiments. Models, once built, are used in the future to assess the brain activity of individuals.

Fundamental approaches are used for modeling purposes:

All the above-discussed approaches are either used as standalone computational models or hybrid ones to model cognitive faculties such as language, vision, perception, etc. Such models play a crucial role in gaining a better understanding of human cognition and, in turn, enable the development of intelligent systems that have decision-making and reasoning abilities at par with that of humans.

Other neurobiological methods to help understand the human mind include direct brain stimulation, single-unit recording, and autopsy studies. In direct brain stimulation, a current is delivered to a subject through electrodes for cognitive enhancement. The single-unit recording method employs a microelectrode system to determine the subjects electro-physiological responses of a single neuron while the subject performs a task.

Post mortem studies refer to the brain study performed on an individuals brain after their demise in cases where the subject suffered from some kind of phenomenological condition such as speaking problems, paralysis, or Alzheimers disease.

See More: What Is HCI (Human-Computer Interaction)? Meaning, Importance, Examples, and Goals

Cognitive science develops empirical theories of the mind that find application in several domains such as education, operations research, human-factors engineering, human resource management, medicine, etc. Lets dig deeper into the role played by cognitive science in driving each of these fields.

Cognitive science contributes significantly to the academic arena by making learning more engaging. Here, critical factors such as visual perception or response to auditory tones that affect the learner are studied to improve the process of learning. This is achieved by answering fundamental questions such as how long can a learner stay fully focused on a task?, how does the brain decode the delivered information?, and how can one avoid distractions to improve focus?, which help the teacher develop an understanding of the cognitive psychology of a group of students in a classroom. This helps in designing the academic curriculum in a better way.

Moreover, with cognitive science, the personalization of learning programs is also possible, which can help the teaching staff design performance-based learning plans for students with similar cognitive traits. The teaching faculty gains insights into the mental capacity of learners through visual and auditory behavioral patterns. It allows them to formulate personalized academic programs for individuals based on perceptive cues.

Operations research is a field of study that applies scientific methods for the seamless management and administration of military, government, industrial, and commercial processes by making decisions responsible for controlling the systems operations. This implies that it focuses on how managerial decisions are made or should be made, how to process the data necessary for effective decision-making, and how to implement decisions. All these questions are answered through cognitive science, as decision-making is a mental phenomenon and is better understood by unraveling the mysteries of the human mind.

Thus, cognitive science in operations research tends to improve the operations of existing organizational and administrative systems. Here, cognitive science integrates several other knowledge streams, such as communications theory, decision theory, behavioral sciences, and general systems theory, to boost the outcome of operations research.

Human-factors engineering is an applied science discipline that focuses on designing the working and living space based on the users requirements. This applied field emerged during World War II when new military equipment was so complex that it was difficult for anyone to operate it safely. This brought the focus onto the human-factor as it became essential to develop equipment that everyone could easily manage.

With cognitive science coming to the fore, development along the lines of human-factors engineering gained steam. The focus today is to design products, equipment, facilities, and environments based on the suitability for people and, at the same time, ensure that the efficiency of the work performed by people is enhanced along the way.

In short, cognitive science works hand-in-hand with the human-factors field by applying information that defines human cognitive abilities, psychological capabilities, and behavior in designing systems that are well-suited for people of all categories.

Human resource departments see a paradigm shift in their operations as HR professionals increasingly use tools and applications that reveal human-like intelligence. Cognitive systems that use data-driven models are being explored for recruitment, which not just help in talent search and tracking but also define the working styles in a company. Moreover, HR staff are also using cognitive tools to improve workforce decision-making.

Business managers also benefit from cognitive systems as team member insights are directly shared with them on easily accessible apps and tools, reducing the workload on HR professionals. It allows HR members to take up other tasks such as building business relationships with new vendors/companies or providing strategic advice to top-level management, and so on.

Cognitive science-based psychological experiments and computational models have played a key role in developing apt medical reasoning approaches that have helped diagnose and treat illnesses, diseases, and ailments. Moreover, with rising awareness about mental health, comprehending the cognitive and neural processes that unfold in a healthy mind has become crucial. Thats where cognitive science plays a key role.

Cognitive science also provides us with ways to deal with mental issues such as depression or even handle diseases such as Alzheimers and schizophrenia.

Besides the applications discussed above, cognitive science also impacts several other industries. Lets look at the current trends where cognitive science is contributing immensely.

Looking at the current developments, one can say that we are inching closer to understanding our minds and brains better. Such efforts are making us better at designing machines that can think and act for themselves.

See More: What Is Super Artificial Intelligence (AI)? Definition, Threats, and Trends

Cognitive science emerged with the human desire and curiosity to better understand how we think and act and how the brain processes vast volumes of data. With growing sophistication in technologies such as AI, brain imaging, and powerful neural interfaces, decoding the mind has become much easier.

Moreover, cognitive experiments and techniques have allowed us to explore the mental faculties that play a role in diseases such as Parkinsons, Alzheimers, and schizophrenia. Advances in cognitive science have also enabled us to develop computer algorithms that can mimic the human brain. If our technological prowess continues to grow at the current pace, the day is not far when we will be able to decode the meaning of every single neural firing within the brain.

Did this article help you understand cognitive science in a better way? Comment below or let us know on Facebook, Twitter, or LinkedIn. Wed love to hear from you!

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Tesla: Canaccord Says Investors Should ‘Mind The Gap’ – The Deep Dive

Over the weekend, Tesla (NASDAQ: TSLA) was one of many automotive companies to announce their third-quarter production and delivery numbers. The company announced that production during the third quarter was 365,923 cars, of which 19,935 were Model S/X, and 345,988 were Model 3/Y cars. At the same time, deliveries were 343,830 cars, with 18,672 Model S/X cars being delivered and 325,158 Model 3/Y being delivered.

In the news release, Tesla says that as its production continues to increase, it is becoming increasingly challenging to secure vehicle transportation capacity and at a reasonable cost during these peak logistics weeks. As a result, the company has started to transition to a more even regional mix of production weekly.

Tesla currently has 43 analysts covering the stock with an average 12-month price target of $299, or an upside of about 24%. Out of the 43 analysts, 12 have strong buy ratings, and 15 have buy ratings. Ten analysts have hold ratings, while three analysts each have sell and strong sell ratings. The street high price target sits at $461, which represents an upside of about 90%.

In Canaccord Genuity Capital Markets note on the production and delivery numbers, they reiterate their buy rating and $304 12-month price target but say that investors should mind the gap. The gap being the number of cars produced over the number of cars delivered during the quarter.

Canaccord says that this roughly 22,000 car overproduction is material and asks what gives. They are hoping that during the earnings call, Tesla will be able to answer two important questions: how much does this differ from normal, and why?

They say that this gap of roughly 22,000 cars is the largest gap in the last 15 quarters on an absolute basis and the fourth largest on a percentage basis.

As for Teslas reasoning in the news release, Canaccord trusts that the gap is due to attributes outside their control but notes that given the growing data points from a macro and Tesla-specific perspective, all point to a potential slowdown in order rates.

Below you can see Canaccords updated estimates.

Information for this briefing was found via Edgar and Refinitiv. The author has no securities or affiliations related to this organization. Not a recommendation to buy or sell. Always do additional research and consult a professional before purchasing a security. The author holds no licenses.

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Tesla: Canaccord Says Investors Should 'Mind The Gap' - The Deep Dive

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