Category Archives: Computer Science

Technology and health on a global scale – Harvard School of Engineering and Applied Sciences

The five research presentations covered a range of technologies, demographics and communities. Eshan Mehra and David An looked at synthetic biology as a way to improve access to organ transplantation in lower-resourced areas of the world, while May Ng and Maggie Richardson analyzed what technologies could enhance independence for elderly people.

It was a great way to really expand my knowledge of how you can approach different topics with different mindsets, said Mehra, whos in his first semester at Harvard. The fellowship also introduced me to a lot of new topics, such as predictive artificial intelligence. I really hadnt thought about these applications to global health, but it was really enlightening to think about new career paths and just try something new.

Predictive artificial intelligence (AI), a subject Reis taught to the fellows, was a recurring technology in several of the presentations. Jennifer Arakaki, Elizabeth Peng and Christian Chiu applied it to Alzheimers disease, presenting on how AI could be used to notice signs of the disease much earlier than conventional testing. Lauren Kim, Billan Mahdi and Safaa Hassan presented the technology for an app that uses AI to help improve the mental health of young people.

I came into this fellowship planning to concentrate in biology, maybe with a global health secondary. But after seeing the applications this technology can have, it inspired me to switch my pathway to one that is more all-encompassing of science, technology and global health, said Arakaki, a second-year student now studying computer science and neuroscience.

Tyler Nilson and McKayla Ro initially planned to look at heart disease and diabetes in tropical countries, but their research took them in an unplanned direction. Looking at the impact of Hurricane Maria on the Caribbean in 2017, they realized telecommunications during disaster relief needed improvement.

I had a hard time believing the best we have are ham radios and satellite phones, said Nilson, a second-year student studying human developmental and regenerative biology. I feel like we have a lot of really cool technology, and there has to be a better way.

TGHI plans to further develop Nilson and Ros research next spring with a project on disaster relief and resource allocation. Fall fellowship projects had to include a literature review on their subject matter, but beyond that fellows were free to implement their research through a website, app or other medium.

With the fellowship now over, TGHI can begin implementing some of its projects on a larger scale during the spring semester.

The students capacity to have ethics, compassion and curiosity, their maturity and excitement moving forward, when you layer that with the technical education and collaboration of the fellowship, the maturity is almost instantaneous, said advisor Joel Ray, part of the Senior Common Room at Winthrop House. Theyre so bright and curious, theyre immediately moving to solutions.

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Technology and health on a global scale - Harvard School of Engineering and Applied Sciences

Class Close-Up: Computer Course Navigates the Ethics of Tech – Princeton Alumni Weekly

Narayanan

Photo: Denise Applewhite / Princeton University

Its thinking about how those lines of code impact the project that impacts the broader society, said Jeremiah Giordani 25

Though Princeton offers dozens of computer science courses every semester, Arvind Narayanan, a professor of computer science and director of the Center for Information Technology Policy, identified what he called a gap in the curriculum after noticing none of them covered computing ethics on a broad scale.

He set out to change that with his course Ethics of Computing, which was new to Princeton this fall.

According to Narayanan, 80% of the course is about applying ethical principles to specific systems, and the rest focuses on the principles themselves. For example, the first assignment tasked students with training a machine learning algorithm to maximize accuracy while minimizing discrimination.

Its not just writing lines of code, said Jeremiah Giordani 25, a computer science major and one of about 100 students in the class. Its thinking about how those lines of code impact the project that impacts the broader society.

Narayanan said he wants students to think about political levers of change, while also providing a very hands-on experience.

Throughout the semester, students worked in small groups on problem sets on topics at the intersection of ethics and tech, ranging from discriminatory impacts of automated decision-making to harmful effects of targeted social media content. There was no midterm; for the take-home final, students analyzed technical and moral aspects of a case study of their choosing.

Steven Kelts, a lecturer at the Center for Human Values and at the School of Public and International Affairs, led simulations of tech companies facing ethical dilemmas during a few of the precepts; for example, drones originally designed for traffic detection instead were used by Ukrainians as trackers of and weapons against Russian troops.

Giordani said the course has reshaped his perspective of tech and encouraged him to think not just about what is this technology, how does it work, how do we implement it, but also, what are the consequences of that implementation [and] how does that impact various parts of our society? Thats something that I think will stick with me for a very long time.

Narayanan hopes Princeton will eventually incorporate ethics into the majority of Princetons computer science courses; he thinks its a missed opportunity not to discuss ethical concepts alongside technical details. Until then, hes working on including even more moral and political philosophy into the current course.

His primary goal is to help students build skills, because its not enough to want to act ethically, you have to know how to do that.

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Class Close-Up: Computer Course Navigates the Ethics of Tech - Princeton Alumni Weekly

Is A Computer Science Degree Becoming Redundant? IBM’s AI Leader Weighs In – IBM (NYSE:IBM) – Benzinga

January 2, 2024 4:23 AM | 2 min read

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The Global Managing Partner for AI at IBM (NYSE:IBM), Matthew Candy, has suggested that a degree in computer science may not be a prerequisite for securing a role in the technology industry.

What Happened: During an interview with Fortune, reported by Business Insider on Monday, Candy stated that the evolution of AI might streamline the product creation process for those lacking technical skills.

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Candy noted that the rapid expansion of AI could speed up the stages of ideation, testing, and implementation without necessarily requiring a computer science degree.

Instead, the advent of AI could highlight the importance of soft skills, such as critical thinking and creativity. Candy opined that AI has the potential to enhance creative thought processes.

See Also: How To Cast Harry Potter Spells With Siri On Your iPhone

He further proposed that the growth of AI could impact sectors beyond technology, including the arts, by enabling people to undertake tasks usually performed by specialized roles like graphic designers.

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His perspective mirrors the forecast of LinkedIn Vice President Aneesh Raman that an increase in AI usage could prioritize soft skills over technical ones. The IBM chiefs comments align with a Goldman Sachs report that estimates AI could disrupt over 300 million jobs.

Why It Matters: The views of the IBM AI chief are significant considering the companys recent 2.13 billion ($2.34 billion) acquisition of StreamSets and webMethods to enhance its focus and investment in AI and hybrid cloud. The buyout is expected to add data ingestion capabilities to IBMs AI and data platform, Watsonx.

The AI job market has also seen a surge alongside the rapid advancement of AI technology. Searches for AI-related jobs have soared, with certain roles, such as data scientists and software engineers, being in high demand.

Read Next: Former Trump Lawyer Michael Cohen Admits Using Google Bard To Cite Fictional Cases In Legal Submission

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Is A Computer Science Degree Becoming Redundant? IBM's AI Leader Weighs In - IBM (NYSE:IBM) - Benzinga

ChatNBX Welcomes Flipkart Chief Data Scientist, Mayur Datar, to Its Board of Advisors – Newswire

SAN FRANCISCO, January 2, 2024 (Newswire.com) - ChatNBX, a leading provider of open-source large language models, has announced the addition of Mayur Datar, Flipkart's Chief Data Scientist, to its board of advisors. This appointment comes after their recent fundraising round with Flipkart Ventures.

Mayur Datar, a seasoned research scientist with a PhD in Computer Science from Stanford University, brings a wealth of experience to ChatNBX. Prior to Flipkart, Mayur held a prominent role at Google, where he led data science and machine learning initiatives. Currently, as the head of Flipkart's data science and machine learning platform teams, Mayur will provide valuable insights to the ChatNBX platform, enabling the company to deploy large language models to production for enterprises.

"As ChatNBX continues to expand its customer base and enhance its platform capabilities, Mayur's experience in scaling technological applications will be invaluable," said Anshuman Pandey, CEO of NimbleBox.ai (the parent company of ChatNBX). "We are confident that Mayur's expertise will strengthen our commitment to becoming a leading global AI company, and we look forward to collaborating with him and the Flipkart team."

With Mayur's guidance, ChatNBX aims to serve enterprises that require robust AI solutions to manage millions of requests per second. This partnership reinforces ChatNBXs dedication to providing cutting-edge AI technology to its customers and further solidifies its position as a trusted provider of open-source large language models.

About ChatNBX:

ChatNBX is a leading provider of open-source large language models, dedicated to empowering businesses with advanced AI technology. Founded by Anshuman Pandey, Naman Maheshwari, and Rohan Pooniwala, NimbleBox.ai is committed to delivering innovative AI solutions like ChatNBX that help businesses stay ahead in an ever-evolving generative AI landscape.

Source: ChatNBX

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ChatNBX Welcomes Flipkart Chief Data Scientist, Mayur Datar, to Its Board of Advisors - Newswire

IBM AI chief advises people who want a tech job in 2024 to learn the language and creative thinking skills you get with the liberal arts – Fortune

If youre updating your resume this holiday season, youll no doubt consider the impact of AI on your employability. While strong coding skills are valuable, dont underestimate the significance of your background in fields like philosophy, literature, or anthropology.

Matt Candy, global managing partner in generative AI at IBM, believes the jobs of the future will be filled by those who can work with AI using language and creative thinking nurtured in liberal arts degrees.

IBM is stepping up its long-running efforts in AI as companies in every sector scramble to adapt to an automated future.

But the skills demanded of the workers hired to herald in that future arent necessarily going to be focused on the ability to fly through code or know their way around a circuit board.

Instead, Candy thinks those who fundamentally understand language and how to apply it could be in line for high-paying jobs related to AI.

Rather than us having to learn to talk the language of technology and programming computers, effectively theyre learning to talk our language, Candy told Fortune.

Candy was mainly referring to a jump in demand for the role of prompt engineers, where employees feed large language models (LLMs) like ChatGPT and Bard prompts, questions, and information to train it up in human behavior and thinking.

These jobs can command six-figure salaries and typically dont rely on IT skills.

As language models like ChatGPT face challenges in accuracy and may produce false informationknown as hallucinations, the need for individuals with a strong grasp of language to train and interact with chatbots becomes more apparent.

Alongside the lucrative nature of the ability to improve how chatbots communicate, Candy also thinks demand for creative thinkers and graduates of liberal arts courses could broadly become higher than ever thanks to AI.

Candy explained there is now a democratization of skills taking place in the tech world, lessening the importance of technical workers and increasing demand for right-brainers.

Questioning, creativity skills, and innovation are going to be hugely important because I think AIs going to free up more capacity for creative thought processes.

The speed at which people will be able to come up with an idea, to test the idea, to make something, its going to be so accelerated. You dont need to have a degree in computer science to do that.

The proliferation of other AI software, like Dall-E, also means creative processes like graphic design will increasingly be the domain of people with ideas rather than those who spent years honing their technical skills.

Youre going to be able to take on the role of a designer. You dont need to be a graphic designer and have an art degree to do these things, said Candy.

There will of course still be a big place for computer scientists.

The world is being rewritten in code, Candy says, as industries everywhere from automotive to oil and gas digitize and put new systems in place to take advantage of AI.

But once those systems are in place, Candy says, the creative thinkers may hold an advantage.

It tracks with research conducted into workplace personalities by Slack and polling company YouGov.

Dr Lynda Shaw, a business psychologist involved in the study, suggested workers with a higher emotional intelligence were more likely to become the CEOs of tomorrows AI-focused business landscape.

The proliferation of AI in the last 12 months, kickstarted by the launch of the buzzy ChatGPT, has opened up new horizons for productivity, which Candy also predicts will help drive global GDP in 2024.

However, it has also caused mass anxiety among workers over whether their jobs will be replaced and prompted governments across the globe to push for regulation.

IBMs chief executive said in May that the company would slow hiring for some of its roles, particularly in HR, where Candy says the vast majority of staff conversations now happen with a bot.

Speaking at Fortunes Brainstorm AI conference, Accenture CTO Paul Daugherty said there would be some consolidation of the workforce thanks to the growth of AI, with fewer people needed to do the same tasks.

The biggest worry is the jobs for the people who wont be using generative AI, Daugherty said.

IBMs Candy agrees that while he doesnt see AI as a de facto replacer of jobs, it is likely that people who cant use the technology will be replaced by those who can.

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IBM AI chief advises people who want a tech job in 2024 to learn the language and creative thinking skills you get with the liberal arts - Fortune

Lozano: Launching the first PhD program for UTRGV’s College of Engineering & Computer Science was a highlight of … – Rio Grande Guardian

EDINBURG, TEXAS UT-Rio Grande Valley Professor Karen Lozano says one of the highlights of 2023 for her was the launch of the first PhD program for the universitys College of Engineering & Computer Science.

It was historic, said Lozano, professor of mechanical engineering and a Julia Beecherl endowed professor.

Lozano led UTRGVs efforts to secure a Ph.D. program for the College of Engineering & Computer Sciences (CECS).The new Doctor of Philosophy degree program in Materials Science and Engineering is the ninth doctoral program to be approved for the university since its inception in 2015, and the seventh to be implemented in the past two years.It is the first Ph.D. program secured by CECS.

Lozano said the new Ph.D. program was designed by a team of faculty members from CECS and the College of Sciences. She said it was developed to provide opportunities for students to obtain a broad background in theoretical and experimental materials science and engineering.

The program will also highlight the study of nanofibers, an area in which UTRGV has unique worldwide expertise thanks to the leadership and innovation of Lozano.

Lozano said that with the new graduate degree, students can apply their knowledge to solve real-world problems in a wide variety of fields including energy, medicine, structural, biotechnology, information technology, electronics, manufacturing and others.

A main objective of the program, Lozano said, is to diversify the scientific and engineering workforce by preparing students from underrepresented groups, most notably Hispanic students from South Texas, for a variety of careers in scientific and engineering institutions, industry, federal agencies and higher education.

Thank you to everyone that made this historic achievement possible, Lozano said, in a posting on social media.

Special acknowledgment to UTRGV President Bailey, Provost Luis H. Zayas, Dr. Arney, Dean Ala Qubbaj, university/college staff Christine S., Lisa Gonzales, supportive community leaders Regent Nolan Perez, M.D., Keith Patridge, and colleagues and students that participated in the development of the proposal, site visit and all other processes.

Lozano said special acknowledgment should also go to the University of Texas System, the Texas Higher Education Coordinating Board, and National Science Foundations Germano Iannacchione, Shadi Mamaghani, and Daniel Linzell. These three were present for the launch of the program.

It is certainly an honor to be the inaugural Director of this program that has been strategically designed to continue and further enhance opportunities for our RGV UG students while promoting the best possible experience for our PhD students! We started with 18 students and looking forward to the 2024 cohort, Lozano said.

There is no doubt that when we come together with purpose and determination, we can achieve the extraordinary. Lets keep broadening opportunities to achieve dreams never dreamed.

Lozano is a member of the the prestigious National Academy of Engineering. In 2019, the White House named Lozano one of 15 recipients nationwide of the Presidential Excellence Awards in Science, Mathematics, and Engineering Mentoring. And, earlier this year, the Carnegie Corporation of New York added Lozano to its Great Immigrant, Great American list, one of 35 naturalized citizens whose contributions and actions have enriched society and democracy.

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Lozano: Launching the first PhD program for UTRGV's College of Engineering & Computer Science was a highlight of ... - Rio Grande Guardian

Local books: Author advocates for replacing data analysis with the dynamics of anticipation – Monterey Herald

Mihai Nadin (Courtesy photo)

Many Monarch butterflies overwinter in Pacific Grove from mid-October to early March, before beginning their southern migration to Mexico. En route, they may travel as far as 2,000 miles, covering a reported 100 miles per day and flying as high as 10,000 feet. Their successful journey is considered a superb victory of anticipatory behavior.

Despite all our computation technology, we dont have a single machine that can perform an evaluation of the future like butterflies can in order to survive. Anticipation is nothing but asking and answering what the future holds for us, said Mihai Nadin, the leading researcher in anticipatory systems, who aims to disrupt science, replacing our reliance on machines with the level of human inquiry necessary to take responsibility for our future.

Computer science endeavors to create machines that processes more and more data faster and faster. Yet the actual data needed to survive, he said, is minimal but significant. Consider the birds that migrate more than 10,000 miles. The entire energy consumed by that bird to get from A to B is just 4.3 watts. But to survive, that little bird will begin his migration based on his anticipation of weather patterns. Heunderstands things.

So does Professor Nadin. The Carmel resident holds advanced degrees in electrical engineering and in computer science, as well as a post-doctoral degree in philosophy, logic and the theory of science, from Ludwig Maximilian University in Munich. He also holds specializations in computer graphics from Brown University and in neural networks and massive parallel computing from Johns Hopkins University.

And yet, Nadin can sift his erudite explanations of anticipatory systems down to the application of migration patterns of birds and butterflies. His latest book, among more than 30 other texts and at least 200 scientific and philosophical articles, Disrupt Science: The Future Matters (Springer, December 2023) is neither a beach read nor a coffee table book. But it is the stuff of fascination,something one might pick up when of a mind to wonder, not what happened but what might.

I started the study of what is called anticipation theory in the 1960s, already so far back in time, Nadin said. Anticipation is a concept that started crystalizing for me as I was looking at the various aspects of what interested me. I was passionate about the arts but at the same time was passionate about the sciences.

In the 1960s, when computers were not yet on the table, Nadin, already involved in computation, was among the first to ask whether computers could be used to create art.

I was asking this, he said, because I look at art as an expression of anticipation. Art is never made in reaction to something; art is always a question mark. As opposed to the sciences, which offer the laws of nature as an answer to the question, every authentic piece of art is an inquiry.

As he sees it, art does not provide answers; it advances the question. It is the inquiry that makes art interesting, which captivates those who are exposed to art. Whether we are experiencing a painting, sculpture, photography, or music, the beauty of it is we have no idea of a definitive answer to the question, he says, for the end is where the whole experience of art truly starts.

I am not an artist. Im not going to assume an identity I dont have. I was interested in computers, Nadin said, in whether this new machinery we created could be used by artists to produce fine art. I decided an authentic artist can use anything in the world to produce art, a computer, a stone, paint. But the computer will not replace your talent if you have it, you have it. If you dont, dont expect that a computer will make you talented.

There is a good chance Nadin was born curious, wondering, looking forward to what lay ahead. It is an orientation that seems to have escorted the professor throughout eight decades of life and continues to direct his perspective today.

When I was still very young, he said, a variety of writing opportunities helped me explore the concepts of that time. I learned what art is by being exposed to it, by being in contact with creative people. Creation means to make possible something that did not exist before. My parents created me. The beauty of creation is that it is one of the things that explains the significance of anticipation.

Born in Romania in 1938, the year his country reportedly was driven into alliance with Nazi Germany, not by affinity but by fear of the Soviet Union and the conviction that only Germany could keep the Soviets out of Romania, it was not fleeing the strife in his country that sent him to America. He left for love.

I did not decide to come to this country; I decided to marry a woman who was born in this country and was visiting Romania. There is a distinction, he said. As a citizen of Romania, I was allowed to marry Elvira only after applying to the President, who took four and a half years to say yes. Now thats anticipation.

In 2004, Nadin, considered a pioneer in the field of computer graphics and a scholar in computer applications for art and design, as well as human-computer interactions and anticipatory systems, joined the faculty at The University of Texas at Dallas. Seven months ago, Nadin, 85, retired, and the Professor Emerita moved with his wife to Carmel, where he continues to look forward to his life.

My primary purpose, he said, is to maintain my state of being alive. Given this desire, I explore the world in which I live and to which I belong. I ask questions. Anticipation informs us about the choices we make in order to continue to be alive. Any action that will undermine my ability to do so is not a good choice. To a large extent this is what my new book is about.

For more information regarding Nadin, visit: http://www.nadin.ws

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Local books: Author advocates for replacing data analysis with the dynamics of anticipation - Monterey Herald

BREAKTHROUGHS IN COMPUTER SCIENCE 2023: A YEAR OF AI – Medium

One of the most significant leaps came in the realm of artificial reasoning. For years, artificial neural networks have struggled with tasks requiring analogical thinking, relying instead on brute-force statistical analysis. However, a groundbreaking March 2023 research from IBM Zurich upended this paradigm. By leveraging the power of hyperdimensional computing, a technique that encodes information in complex, multi-dimensional vectors, researchers successfully tackled the Ravens progressive matrix, a notoriously difficult abstract reasoning test. With more focused work over the upcoming years, in this field , Researchers like Abbas Rahimi hopes that this approach of vector-driven AI could not only be faster, and more transparent, but can also prove to be more energy efficient. Through which we can substantially reduce energy consumption, lowering it up to 10 or even 100 times, which can directly transfer to lowering down the carbon footprint, which current AI platforms lack. This achievement marks a crucial step towards building AIs that can truly reason, understand analogies, and navigate the complexities of the real world.

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BREAKTHROUGHS IN COMPUTER SCIENCE 2023: A YEAR OF AI - Medium

How to get a job in quantum computing – Fast Company

Quantum computing uses quantum mechanics to more quickly solve problems that are too complex for non-quantum, i.e., classical, computers. This rapidly emerging technology can be applied to a number of fields, including software development, healthcare, medicine, and artificial intelligence.

The worldwide global quantum computing market was estimated to generate $866 million in revenue in 2023 and that figure is expected to swell to $4.375 billion by 2028. This is due, in part, to the fact that more industries are investing in and using quantum computing technology.

As such, a career in quantum computing can offer engaging work, recognition within the industry, as well as high annual salaries.

Here are some tips to help you land your first job in the lucrative field of quantum computing:

The first thing you need to do is figure out which career track you want to follow. Do you want to work in research, software development, engineering, marketing, or education? Before you decide on a particular, consider your interests and skills.

For example, If you have great coding skills, then you might be a good fit for a role in software development. Or maybe you want to work in the field of quantum computing, but youre really not technically inclined. In that case, a job in marketing might be just the ticket.

If you want to become a quantum computing professional, you must have a strong grasp of math and science because youll be working with numbers and calculations. Consequently, youll need to earn an undergraduate degree at a university in physics, programming, mathematics, or computer science.

Evaluate each career program, then speak with some professors who can help you determine the major thats most appropriate for your career path as well as your long-term professional goals in the field. You should also meet with quantum computing experts and ask them what path they chose when they began their careers. Ask their opinions about the programs and opportunities for networking in each path.

While most companies expect you to have a bachelors degree in a related field, some employers require you to have an advanced degree, such as a masters degree or doctorate, for certain positions. By studying advanced math, physics, computer science, and general science, you can better comprehend the practical applications of quantum computing. This will enable you to to solve more complex problems and apply for more advanced roles.

Check out all the positions at large tech companies that develop quantum computers or use quantum computing as some are conducting research in quantum computing and looking for business opportunities in the field. Although you may not work with quantum computers initially, youll gain experience in a similar field that can help boost your skills. Consider internships at tech companies that work in the quantum computing field as they enable you to gain valuable experience. They also open the door to developing relationships with experts in quantum computing through networking.

As a student in a quantum computing bootcamp, youll learn the basics of quantum computing and its applications in a variety of fields. Investigate bootcamps offered by private companies as well as universities.

To work in the field of quantum computing, you need certain skills. Some of the most in-demand skills include:

Advanced mathematics: To work in quantum computing you need to understand applications of the principles of calculus, trigonometry, calculus, and other advanced math.

Linear algebra and probability theory: These specific branches of math are used heavily to describe and analyze the behavior of a quantum computer. The language of quantum computing is linear algebra, which is widely used to describe quantum operations and qubit states. It is also used to predict how a quantum computer will respond to a sequence of instructions. Probability theory predicts the behavior of the system and its possible outputs.

Quantum programming: You also have to know how to use quantum programming languages to code. These programming languages include:

Research skills: While working with quantum computing hardware or software, youre likely to face complex challenges. To solve these challenges, you have to have advanced research skills along with an understanding of where to find the answers to your questions.

Algorithmic computation: If youre aiming for a position as a quantum computing scientist, its critical that youre able to use quantum algorithms to perform computations.

Artificial intelligence and machine learning: You need to understand AI and its applications to develop quantum learning models. Together, quantum computing and machine learning simplify the process of training data models.

Physics: Many employers prefer that you also have a background in quantum physics. For example, a quantum software programmer needs to understand some physics as well as how quantum algorithms work.

When you have the requisite education and experience, you can start applying for jobs in the quantum computing field. Some of the top-paying jobs include quantum software engineers quantum hardware engineers, and quantum computing scientists.

Sometimes employers dont mention quantum computing in the titles of their job postings in this field, so be sure to read the posting itself because they may have included it there.

You should also contact people in your network, i.e., professors, former classmates, colleagues, and ask about open positions in the field of quantum computing. Using these contacts is crucial because positions available in this field often require references.

Search for open positions, such as quantum computer architect, quantum engineer, quantum AI developer, on the top job boards, including Glassdoor, Indeed, and ZipRecruiter.

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How to get a job in quantum computing - Fast Company

The Biggest Discoveries in Computer Science in 2023 – Quanta Magazine

In 2023, artificial intelligence dominated popular culture showing up in everything from internet memes to Senate hearings. Large language models such as those behind ChatGPT fueled a lot of this excitement, even as researchers still struggled to pry open the black box that describes their inner workings. Image generation systems also routinely impressed and unsettled us with their artistic abilities, yet these were explicitly founded on concepts borrowed from physics.

The year brought many other advances in computer science. Researchers made subtle but important progress on one of the oldest problems in the field, a question about the nature of hard problems referred to as P versus NP. In August, my colleague Ben Brubaker explored this seminal problem and the attempts of computational complexity theorists to answer the question: Why is it hard (in a precise, quantitative sense) to understand what makes hard problems hard? It hasnt been an easy journey the path is littered with false turns and roadblocks, and it loops back on itself again and again, Brubaker wrote. Yet for meta-complexity researchers, that journey into an uncharted landscape is its own reward.

The year was also full of more discrete but still important pieces of individual progress. Shors algorithm, the long-promised killer app of quantum computing, got its first significant upgrade after nearly 30 years. Researchers finally learned how to find the shortest route through a general type of network nearly as fast as theoretically possible. And cryptographers, forging an unexpected connection to AI, showed how machine learning models and machine-generated content must also contend with hidden vulnerabilities and messages.

Some problems, it seems, are still beyond our ability to solve for now.

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The Biggest Discoveries in Computer Science in 2023 - Quanta Magazine