Category Archives: Computer Science
"My first job interview was two weeks after giving birth; a month later … – CTech
CEO of Ready Group Racheli Ganots first job interview took place two weeks after giving birth to her daughter. "I started my degree during my pregnancy with my eldest son and finished it during my second pregnancy with my daughter. My two older children are now computer science graduates, and according to them, it was easy for them because it was their second time studying for the degree," she says.
"I gave birth right after finishing my studies. It was in 2000 - the peak of the high-tech bubble and employee recruitment. I constantly received job offers and I really wanted to integrate into the workforce. I was two weeks postpartum, and it was one of the first times that I left the house. I remember feeling so nervous it was hard for me to cross the street. The interview went as you might expect. I took two more weeks to recover, during which I scheduled interviews in different fields. After a month, I had five job offers and chose Mindspeed, which was a great experience. When they approached me, I told them that I already had offers, so they asked about the conditions that others had offered me, and the process with them was very efficient and positive. It was also the closest to my place of residence at the time, which was important to me as I was a mother of two little ones, and working from home wasn't an option then. In retrospect, it was a very successful choice. I met people there who became good friends and from a business standpoint, they became my company's first customers."
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Racheli Ganot
(Credit: Avishag Yashuv)
Ganot was first exposed to high-tech at the age of 16 when she took a programming course. She went on to complete her degree in computer science at Bar-Ilan University. After holding several positions in the industry, she founded the company Raychip, which is now called Ready Group, an R&D hardware and software company. The company is made up of 170 employees, 80% of whom are women. Ganot is a mother of four and lives in Givat Shmuel.
Regarding her choice to work in high-tech as a young mother, she says, "I never demanded concessions, not when I was in university and not in the workplace. I always knew how to balance. I am also active in the organization New Faces, where I lead science and technology initiatives. For ten years I have been organizing programs to encourage girls to study science and technology in high school, and I always say that in high-tech, there is a lot of flexibility. You're not judged by the number of hours but by the results, and the work is very flexible. You can work at any time, so I encourage women to enter the industry."
In 2018, Ganot was chosen to light a torch at Israel's 70th Independence Day ceremony for her efforts to integrate ultra-Orthodox women in high-tech. She has founded several startups, chairs and sits on various boards, including IATI (Israel Advanced Technology Industries), the umbrella organization for the high-tech and biotech industries in Israel, and the board of trustees of Hadassah College. She chairs the Science and Technology Forum of the organization New Faces, which focuses on encouraging girls to take STEM courses in high schools. Her humbleness, passion, and genuine love for what she does is evident. It is probably the reason why she seeks the same passion when hiring as well. When interviewing employees, she likes to ask open-ended questions and pays attention to whether people discuss their previous experience with energy or indifference and boredom.
"It's amazing how many people in senior positions are interviewed for roles that their heart is not in. They almost doze off when they talk about what they want to do, and then suddenly they are asked about hobbies or their dreams or a trip abroad, and their body language changes. I understand in cases like these that their heart simply isn't there, and it's a shame for them and a shame for the organization. At all levels of seniority, its important to see that a person possesses energy and passion. It's important for me to ask questions that give an indication of a person's achievements, their productivity, whether they set goals for themselves, measure themselves, what they measure themselves against, and what they strive for," she says.
She says that from a very young age she was encouraged to learn practical skills. My mother is a musician, so I learned music, accordion, and even sewing beyond the regular curriculum. When I was 16, my parents saw an advertisement for a programming course. It was in 1993, a time when not everyone was studying computers like today. My parents told me that it seemed like the future was heading in that direction, and it was worth a try. I was the youngest in the course, which I did during high school, and it opened up this world to me that was very interesting and I decided to make it my focus. After getting married at the age of 19, I started looking for work in the field and realized that the course wasn't enough to qualify for the jobs I aimed for. I was accepted as an intern at the place where I took the course, and at the same time, I started studying for psychometric exams because I knew I needed to complete a degree. After that, I integrated into the industry."
After Ganots first job at Mindspeed, she went on to work at several other companies. She says that even when those companies closed, it was helpful for her career, since she had former colleagues spread out across the industry who advocated for her. I had a lot of ambassadors in other places, so when I started my company it was very helpful.
Why did you decide to establish your own company?
"When I moved to Infineon, I noticed that filling my position was very difficult. Later, when I became a team leader, I encountered the same problem myself. It was challenging to find suitable candidates for the positions. That's when I came up with the idea of starting a company that would bring together ultra-Orthodox women in my areas of expertise, specifically those skilled in hardware and software. I believed that with proper training, anyone could excel in these roles, and I saw a potential opportunity.
"Being a team leader in the high-tech industry is not a position you leave abruptly. So, while still working as a team leader, I started working on my idea, evaluating candidates and assessing their knowledge in the relevant areas. Meanwhile, Infineon closed down. Fortunately, we received favorable terms with ample notice and payment. This event served as a catalyst for me to realize that it was time to seriously pursue my project.
"In 2007, the year I founded the company, then named Rachip, there was a high demand for skilled workers in my field. I was fully focused on establishing the company and searching for initial projects. I worked tirelessly, with significant expenses and no income. I vividly remember a high-tech company approaching me for an interview regarding transferring a project to my company. During the meeting, a human resources manager tried to make me an offer as a hiring manager for them, assuming it would be too good to refuse. However, I shocked them by declining the offer outright. It was a defining moment for me, where I truly understood and embraced my decision to become independent and start my own company, regardless of the circumstances."
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"My first job interview was two weeks after giving birth; a month later ... - CTech
The Science Behind Computational Photography: Understanding … – CityLife
The Science Behind Computational Photography: Understanding the Algorithms and Techniques
The science behind computational photography is an ever-evolving field that has significantly transformed the way we capture and process images. With the advent of smartphones and digital cameras, the traditional approach to photography has been revolutionized, paving the way for new algorithms and techniques that enhance image quality and provide a myriad of creative possibilities. In this article, we delve into the fascinating world of computational photography, shedding light on the underlying algorithms and techniques that have redefined the art of image capturing.
At its core, computational photography refers to the use of advanced algorithms and processing techniques to improve or extend the capabilities of digital imaging systems. This involves capturing multiple images or data points and combining them to create a single, high-quality photograph. The process is made possible by the convergence of computer science, optics, and imaging technology, which has led to the development of innovative algorithms that can manipulate and enhance images in ways that were previously unimaginable.
One of the key techniques in computational photography is High Dynamic Range (HDR) imaging. In traditional photography, capturing scenes with a wide range of brightness levels can be challenging, as cameras are often unable to accurately reproduce both the darkest and brightest areas of a scene. HDR imaging addresses this issue by taking multiple photographs at different exposure levels and combining them into a single image that accurately represents the full range of brightness levels present in the scene. This is achieved through sophisticated algorithms that analyze and merge the different exposures, resulting in images with greater detail and more accurate color representation.
Another groundbreaking technique in computational photography is image stacking, which involves capturing a series of images and combining them to reduce noise, increase resolution, or extend the depth of field. This technique is particularly useful in low-light conditions, where image noise can be a significant issue. By stacking multiple images, the noise can be averaged out, resulting in a cleaner, more detailed final image. Image stacking can also be used to create panoramic images by stitching together multiple photographs taken from different angles, allowing for a wider field of view than a single image could provide.
One of the most exciting advancements in computational photography is the development of depth-sensing technology, which enables cameras to capture three-dimensional information about a scene. This is achieved through the use of multiple cameras or specialized sensors that can measure the distance between the camera and various points in the scene. By capturing depth information, computational photography algorithms can create images with a more realistic sense of depth and even enable features such as selective focus, where the background of an image can be blurred while keeping the subject in sharp focus.
Machine learning and artificial intelligence (AI) have also played a significant role in the advancement of computational photography. By training AI algorithms on vast datasets of images, researchers have been able to develop systems that can automatically enhance images, remove unwanted artifacts, and even generate realistic images from scratch. These AI-powered algorithms have the potential to revolutionize the way we edit and process photographs, making it easier than ever to create stunning images with minimal effort.
In conclusion, the science behind computational photography has led to a new era of image capturing and processing, enabling photographers to overcome the limitations of traditional cameras and produce images of unprecedented quality and detail. As technology continues to advance, we can expect to see even more innovative algorithms and techniques emerge, further pushing the boundaries of what is possible in the world of photography.
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The Science Behind Computational Photography: Understanding ... - CityLife
Study: Academic fields valuing ‘brilliance’ less welcoming to women – University at Buffalo
BUFFALO, N.Y. Fewer women enter and more women leave academic fields valuing brilliance, which is partly due to prevalent gender stereotypes.
That is central finding of a new analysis of 30 disciplines by an international team of researchers, including Kenneth Joseph, assistant professor of computer science in the University at Buffalo School of Engineering and Applied Sciences.
Using a massive database of academic CVs, we were able to uncover the career dynamics by which beliefs about brilliance give rise to gender segregation in academia, says Aniko Hannak, an assistant professor at the University of Zrich and an author of the paper, which appears June 22 in theJournal of Personality and Social Psychology.
Our findings highlight the persistent role of prejudice against women in perpetuating gender imbalances in academia especially in fields that prize brilliance underscoring the need for continued efforts to promote inclusivity and diversity in all fields, adds Andrei Cimpian, a professor in New York Universitys Department of Psychology and one of the studys researchers.
The other authors on the paper were Joseph, an expert on harnessing the power of computing for social good, and Daniel Larremore of the University of Colorado Boulder.
While it has long been known that academic fields are marked by substantial levels of gender segregation, less clear are the underlying dynamics that give rise to these imbalances and how they relate to career trajectories.
To better understand these phenomena, the researchers studied differences in field-specific ability beliefs (FABs) as an explanation. These beliefs reflect whether or not respondents think brilliance is required for success in their own field.
FABs may contribute to gender segregation, Joseph observes, because brilliance exceptional intellectual ability is culturally associated with men more than women.
Previous workhas documented a relation between academic fields FABs and their gender composition, but without identifying factors that explain it.
To address this, the researchers created a dataset of more than 86,000 individuals that combined information from two sources: the author-tracking service ORCID(Open Researcher and Contributor ID), where researchers can fill out information about their publications and their educational and professional histories, and information from a surveyof U.S. academics across 30 fields.
The results showed that women were underrepresented among those who enter fields with brilliance-oriented FABs fields seen as requiring brilliance and overrepresented among those who exit these fields.
The authors also looked at reasons for these phenomena, focusing on gender-based prejudice. To do so, they drew from a 2015 study, co-authored by Cimpian, which tapped academics perceptions of prejudice against women in their respective fields with questions such as Women face more challenges than men if they pursue careers in [my field] and [My field] as a discipline is welcoming to women. This measurement strategy is consistent with a long tradition in industrial and organizational psychology, where it is common to ask participants to report on the level of prejudice and discrimination they perceive in their organizations.
The data showed that fields with more brilliance-oriented FABs scored significantly higher on perceived prejudice against women. Importantly, Larremore adds, we also found that gender segregation is partially explained by this perception that women encounter more prejudice in fields with brilliance-oriented FABs.
Despite efforts to address gender segregation in academia, our researchusing the largest database of academic CVs to datereveals that fields valuing brilliance as a marker of success are less welcoming to women, leading to fewer women entering and more women leaving these fields due to prevalent gender stereotypes, says Hannak.
At the same time, the researchers emphasize that this work will help them to continue their search for interventions that will help address gender segregation, in academia and beyond.
Our teams prior workshows that with committed, sustained efforts, interventions that reduce gender segregation are possible and powerful, says Joseph.
The research was supported by grants from the U.S. National Science Foundation, the U.S. Air Force Office of Scientific Research, and the Russell Sage Foundation.
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Study: Academic fields valuing 'brilliance' less welcoming to women - University at Buffalo
DNA Computing in Education: Preparing the Next Generation of … – CityLife
DNA Computing in Education: Preparing the Next Generation of Scientists and Engineers
In recent years, the field of DNA computing has emerged as a promising area of research, with potential applications in diverse domains such as cryptography, data storage, and drug discovery. As the world becomes increasingly reliant on technology and the demand for skilled scientists and engineers continues to grow, it is essential that educational institutions adapt their curricula to include cutting-edge subjects like DNA computing. By doing so, they can prepare the next generation of professionals to tackle the complex challenges that lie ahead.
DNA computing, also known as molecular computing, is a branch of unconventional computing that utilizes DNA, biochemistry, and molecular biology hardware to perform computational operations. It was first proposed in 1994 by Leonard Adleman, a computer scientist at the University of Southern California, who demonstrated that DNA molecules could be used to solve a complex mathematical problem. Since then, researchers have been exploring various ways to exploit the unique properties of DNA to perform complex computations, store vast amounts of data, and even create self-assembling nanostructures.
One of the key advantages of DNA computing is its inherent parallelism, which allows it to perform a vast number of operations simultaneously. This is in stark contrast to traditional electronic computers, which are limited by the speed of their processors. Additionally, DNA computers have the potential to be much more energy-efficient than their electronic counterparts, as they do not require electricity to function. This makes them an attractive option for solving large-scale problems that would be infeasible using conventional computing methods.
Given the rapid advancements in the field of DNA computing and its potential impact on various industries, it is crucial that educational institutions incorporate this subject into their curricula. This will not only provide students with a solid foundation in the principles of molecular computing but also equip them with the skills necessary to contribute to the development of novel applications in the future.
Introducing DNA computing in education can be achieved through various means, such as incorporating it into existing courses on computer science, biology, and chemistry, or developing dedicated courses that focus specifically on the subject. Moreover, interdisciplinary programs that combine the study of DNA computing with other emerging fields, such as nanotechnology and synthetic biology, can help students gain a comprehensive understanding of the complex interplay between these disciplines.
Hands-on laboratory experiences should also be an integral part of the learning process, as they allow students to develop practical skills and gain a deeper understanding of the concepts they have learned in the classroom. By working with DNA molecules and other biological materials, students can gain valuable insights into the challenges and opportunities associated with DNA computing, as well as develop innovative solutions to real-world problems.
Furthermore, educational institutions should foster collaborations between students, researchers, and industry professionals working in the field of DNA computing. This can be achieved through internships, research projects, and partnerships with companies that are actively involved in the development of DNA-based technologies. Such collaborations can provide students with invaluable networking opportunities and expose them to the latest trends and advancements in the field.
In conclusion, the integration of DNA computing into education is essential for preparing the next generation of scientists and engineers to meet the demands of an increasingly technology-driven world. By providing students with a strong foundation in this emerging field, educational institutions can help pave the way for groundbreaking discoveries and innovations that have the potential to transform industries and improve the quality of life for people around the globe.
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DNA Computing in Education: Preparing the Next Generation of ... - CityLife
How Gen Z can compete with AI for a spot in the workforce – Business Insider
Gen Z workers have an opportunity to use artificial intelligence in the workplace. Elizabeth Starkova/Getty Images
Some workers fear that artificial intelligence will steal their jobs.
One person tweeted about a concern over artificial general intelligence: "I'm scared of AGI. It's confusing how people can be so dismissive of the risks."
For members of Gen Z entering the workforce, the rise of AI might seem particularly challenging.
Gen Zers are the youngest component of the workforce and have more working years ahead of them than older generations. That means their entire careers are likely to be reshaped by AI. Because the broad reach of generative AI seems to have exploded overnight, many workers haven't been trained on how and when to use the technology. And many business leaders are still hammering out guidelines.
But as digital natives, Gen Zers have natural advantages to survive and thrive in this new AI-driven economy. They've grown up with tech. And the capabilities of expanding technologies such as AI will allow Gen Zers and other employees to hand over some of their mundane tasks to digital coworkers. That can give the people adept at using AI more time and energy for the creative, innovative, and thought-provoking work they're looking for.
So long as Gen Zers remain flexible and adaptive, they have the potential to flourish in the AI-driven workforce.
"If you are brand-new into the workforce, the key thing to realize is that every single job is being redefined right now," said Alexander Kvamme, the CEO of Pathlight, a software company using AI to improve customer service and team performance through data. "You need to think creatively and thoughtfully about what the outcome is that the organization wants and how you achieve that outcome using the new tools available."
Though some are nervous about AI, the number of school faculty members and students interested in learning new technologies is high, Erin Reilly, the director of innovation and entrepreneurship at the Moody College of Communication at the University of Texas at Austin, said.
"The fear factor was they didn't feel like they were being scaffolded or taught how to use those tools in the classroom in order to be ready for it," she said.
The use cases of AI are so far-reaching that they extend well beyond the confines of computer science and coding, Reilly said.
"It requires lots of different disciplines to come together and be what I like to think of as a collaborative team of hustlers, hackers, and designers really imagining what that future can be," Reilly said.
She and her team have worked with the university's nursing, communications, architecture, philosophy, and English departments.
"Because this hits so many different domains and verticals, we need to step up and think about broader, across-disciplinary initiatives at universities," Reilly said. "This is not one domain solving this problem. We all have a little piece of the pie, and that's why it's very hard to teach it: You're only teaching it from your domain."
Reilly doesn't believe AI will replace humans at work, and her students typically don't have that fear, either, she said. But it's important to stay adaptable, to learn, and to experiment with the new technologies to build a career.
One example: Understanding AI models will become an increasingly popular job.
"It's very hard to train a model," Reilly said.
"Knowing how to have those conversations and train a model are new skills," she said, adding that prompt engineers were becoming sought-after professionals.
Kvamme, the head of Pathlight, said workers who don't embrace AI and other new tech in their careers risked being left behind.
"You can't compete for jobs with people who are adept at using this technology without having used it yourself," he added. "The good news is that it's easy to learn. But you have to get on the bus."
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How Gen Z can compete with AI for a spot in the workforce - Business Insider
TNEA Rank List 2023 to be released shortly on tneaonline.org; counselling likely to be postponed by two w – Times of India
The
(
) in Tamil Nadu has released the Rank List for B.E/B.Tech/B.Arch courses today. Prospective candidates looking to secure admission to engineering and architecture programmes can now easily access their admission list online through the official website, http://www.tneaonline.org.
The
PDF has been uploaded on both tneaonline.org and tndte.gov.in. Applicants can check their rank list by entering their application number and date of birth on the official
website.
This rank list is prepared based on the marks obtained by candidates in the TNEA 2023 exam. It will play a crucial role in the admission process for engineering colleges in Tamil Nadu. With approximately 1.5 lakh seats expected to be available in 440 engineering colleges this year, there has been a notable increase of 18,610 aspirants compared to the previous year. TNEA will also provide information regarding the number of eligible applicants alongside the rank list.
While competition is anticipated to be fiercer due to the larger applicant pool, experts predict that top-performing students may opt for other streams such as electronics and communication engineering (
) in addition to IT and computer science engineering (
) courses this year.
In response to the rising demand for IT-related programmes, engineering colleges have introduced over 8,000 additional seats in AI, data science, and computer science courses. Conversely, more than 2,000 seats have been reduced in branches like civil and mechanical engineering.
As a result of the increased intake by engineering colleges, career consultants expect a potential decline in the cut-off marks for CSE and other related courses.
How to check TNEA Rank List 2023?
To check the TNEA Rank List 2023, follow these steps:
Visit the official website:
Go to the official website of TNEA at http://www.tneaonline.org.
Find the Rank List section:
Look for the specific section related to "TNEA Rank List 2023" on the website's homepage.
Click on Rank List:
Click on the Rank List link to proceed with checking your rank.
Enter application number and date of birth:
Enter your TNEA application number and your date of birth in the designated fields.
Submit the details:
After entering your application number and date of birth, click on the "Submit" or "Check Rank" button to proceed.
View your rank:
Once the details are submitted, your TNEA Rank List for 2023 will be displayed on the screen. Take note of your rank and save a copy for future reference.
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‘An awesome exploration:’ CMU prof reflects on 2022 Titanic trip on … – TribLIVE
Alex Waibel fiddled with his computer and a headset-mounted microphone that transcribed his every word.
And he waited. And waited.
Around 8 a.m. July 14, 2022, the Carnegie Mellon University professor boarded OceanGates Titan submersible the same one that would implode deep below the surface of the north Atlantic Ocean last week, killing all five passengers and dived for 212 long hours to reach the storied wreckage of the Titanic.
Waibel, who was researching the use of text-to-video technology by sonar, knew the risks. The OceanGate waiver he signed mentioned death three times on the first page. But, as Waibel descended deeper into darkness, he distracted himself with music anything except country-western and dramatic concerns never surfaced.
Its like youre in a minivan driving to a concert you dont think about tragedy, said Waibel, 67, of Murrysville. Everybody accepted the risks. Everybody thought through the risks in order to have an awesome exploration.
The Titan submersible Waibel rode launched again June 18, carrying five people most of them extremely wealthy to the same Titanic site. After a media frenzy at sea level, the submersible imploded near the site of the shipwreck, killing everyone on board instantly. Reports of the implosion deep at sea tragically ended a saga that included round-the-clock search-and-rescue missions and a worldwide vigil for the missing vessel.
A sliver of hope to save the Titanic explorers evaporated Thursday, when the submersibles 96-hour oxygen supply was set to run out, and the Coast Guard found debris about 1,600 feet from the famous shipwreck.
We just dont know what directly created this tragedy, Waibel told the Tribune-Review Saturday, speaking by Zoom from his second home in Karlsruhe, Germany, a city an hour south of Frankfurt. Hindsight is 20/20, as they say. After the fact, you know better.
But those of us who got to ride this and survive were extremely lucky, he said. And it is very, very sad to have lost these great friends.
The Face Dubber
Waibels research about computer science and text-recognition technology has spun off 11 start-ups.
That includes M*Modal, a Squirrel Hill-based developer of speech and natural language-understanding technology founded in 1998, and Kites, an AI-based language translation tool Zoom acquired in 2021. Waibel also helped found Jibbigo, a language-translation app Facebook bought in 2013. (Waibel likes to show a photo of himself smiling next to Facebook founder Mark Zuckerberg, both men flashing a thumbs-up.)
Waibel, who speaks five languages, works tirelessly at computer science labs in Pittsburgh and in Germany. And his research helped create the first computer-based interpretation service in the world, Waibel said.
The European Parliament, whose 705 directly elected members speak 23 different languages, uses translation services Waibel pioneered, he said.
In 2022, Waibel was developing technology he called The Face Dubber, which used speech recognition and voice conversion to create videos of people speaking in their own voice based on simple text messages.
This led to the entire thing with the Titanic, he said.
Safety questions
In July 2022, Waibel was waiting and waiting and waiting for the weather to be just right.
A year earlier, while teaching remotely in Seattle during the early days of the covid-19 pandemic, Waibel Googled Whats going on with the Titanic? The search engine turned up OceanGate, a privately owned, experimental submersible agency headquartered in Everett, Wash. just a 30-minute drive from Waibels Seattle home.
OceanGate CEO Stockton Rush, who died this week in his Titan submersible, was famous for trekking explorers and researchers to the Titanic wreckage, which rests about 350 miles off the coast of Newfoundland, Canada.
One of the problems for their missions is that, at 4,000 meters deep, they have no GPS, Waibel said. The surface ship has sonar and only knows roughly where they are.
Could Waibels text-to-video technology work via sonar, which employs very slow, low-bandwidth acoustic signals to cut through the signal-disrupting salt water of the Atlantic Ocean?
We wanted to test it in the real environment, he said, so I went down in the submarine.
That brings us back to July 14, 2022, as Waibel, Rush and Titanic expert Rory Golden, all clad in helmets and maroon jumpsuits, boarded a huge cargo ship at 4 a.m. Then, they squeezed into the Titan submersible, with its one porthole-style window, and dove 13,000 feet below the surface of the sea.
It was a comfort that things were actually safe, Waibel said.
What about the experimental design? Are reports accurate that the Titan construction was shoddy compared to other vessels of its kind?
I cant really say thats true, he said. There were constant briefings and there always was the question: Is it safe to dive? Everyone really did believe it was safe to use.
For his journey, Waibel said he made a personal donation to OceanGate. He declined to specify the amount.
Viewing the Titanic
The Titan submersible used a detachable antenna to maintain radio connection to the cargo ship as Rush prepped for the mens journey.
Around 8 a.m. on July 14, 2022, as the submersible sat on a inflatable platform, Rush radioed the ship and methodically went through each system and a long checklist of several sub-systems, including oxygen and electronics.
OK, Rush said eventually, Ready for launch.
Nearly three hours into the dive, the 5-inch-thick titanium hull of the Titan submersible faced incredible pressure 13,000 feet underwater, Waibel said 400 times more intense than what it experienced at sea level.
And, at the bottom of the ocean, the submersibles exterior high beams glowed magically and lit up what was left of the Titanic.
Waibel saw the ships gigantic boiler, first discovered by sonar in 1985, and its three distinctive, circular doors, into which the crew shoveled coal to feed the beast. The entire boiler was covered in what Waibel called rusticles, which ate at the aging metal and bore a patina of seafoam green.
He saw a slice of the Titanics side, including portholes it might have been the second- or third-class section of the massive vessel, Golden told Waibel on the submersible. Then, the submersible passed the stern of the ship, where Rush collected a water sample.
Waibel saw a suitcase and a random plate from a dining room set. Chandeliers miraculously still hung from two exposed dining room ceilings.
Boulders dropped by melting icebergs littered the sandy sea floor. And then there, before the submersible, lies an extensive debris field chock full of jagged metal chunks of the ship.
They were huge and they were sharp, Waibel said. You can get tangled up in them.
As they neared the ships bow made famous by actor Leonardo DiCaprio in the 1997 box-office hit on the fabled ship Rush said the tour of the shipwreck, which lasted more than two hours, had come to an end.
Nearly three hours later, after traveling this time from darkness to light, they were back on the cargo ship.
Waibel consulted at sea level with fellow researcher Christian Huber, a graduate student from the Karlsruhe Institute of Technology, where Waibel also teaches.
Yes, Waibel discovered, the text messages he sent from the Titanic site were successfully converted into video.
Exploration must go on
Waibel, a native of Germany and Spain who moved to Pittsburgh nearly 40 years ago to pursue his doctorate at Carnegie Mellon, closely followed news coverage last week of the lost-at-sea submersible.
It could be tough to watch. Some made jokes about the wealthy men on board, which upset him.
OceanGate was not just offering Disneyland tours for rich people, Waibel quipped.
I dont think thats a fair categorization, Waibel said. There was a lot of attention to safety.
Waibel, like many, also wondered what happened after crew on the ship above lost contact with the Titan after just 90 minutes, which Waibel said was not long enough to reach the Titanic wreckage.
I had a bad feeling, he said. It was sad and it was really difficult to process.
If Rush and the submersible did indeed make it to the surface, finding the Titan which only could be opened from outside the vessel, removing 17 different bolts in the hull would be tricky.
They could have just been drifting around, Waibel said.
Waibel feels the most likely scenario is that the Titan did implode dramatically, killing all five men onboard before they even had realized what was happening. He feels that death beat the alternative, which would have been running out of air to breathe in a floating coffin.
Now, Waibel is looking forward. And he hopes that the spirit of exploration that drove Rush and others does not fade into the background.
I think people will study this and learn from it, Waibel said. And I dont think its fair to dismiss it as a stupid parlor trick.
Its a tragedy, when this happens, he added. But I think exploration must go on.
Justin Vellucci is a Tribune-Review staff writer. You can contact Justin at jvellucci@triblive.com.
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'An awesome exploration:' CMU prof reflects on 2022 Titanic trip on ... - TribLIVE
Its not like science fiction any more: Nasa aiming to make spaceships talk – The Guardian
Nasa
Exclusive: Researcher Dr Larissa Suzuki tells how Nasa is developing a ChatGPT-style interface
In the film 2001: A Space Odyssey the sentient supercomputer, HAL 9000, chats conversationally to the mission pilots on a Jupiter-bound spaceship, executing their orders and alerting them to onboard faults and eventually going rogue.
Now Nasa engineers say they are developing their own ChatGPT-style interface that could ultimately allow astronauts to talk to their spacecraft and mission controllers to converse with artificial intelligence-powered robots exploring distant planets and moons.
An early incarnation of the AI is slated to be deployed on Lunar Gateway, a planned extraterrestrial space station that is part of the Artemis programme, according to the engineer developing the technology.
The idea is to get to a point where we have conversational interactions with space vehicles and they [are] also talking back to us on alerts, interesting findings they see in the solar system and beyond, Dr Larissa Suzuki, a visiting researcher at Nasa said. Its really not like science fiction any more.
Speaking at a meeting on next-generation space communication at the Institute of Electrical and Electronics Engineers (IEEE) in London on Tuesday, Suzuki outlined an interplanetary communications network with inbuilt AI to detect, and possibly fix, glitches and inefficiencies as they occur. It then alerts mission operators that there is a likelihood that package transmissions from space vehicle X will be lost or will fail delivery, she said. We cannot send an engineer up in space whenever a space vehicle goes offline or its software breaks somehow.
The system also has a natural language interface that will allow astronauts and mission control to talk to it rather than having to scour cumbersome, technical manuals for relevant information. She envisages astronauts being able to seek advice on space experiments or on how to perform complex manoeuvres.
Suzuki is also investigating how to deploy machine learning in space, where it is not possible to run vast amounts of data through supercomputers. She describes how an approach known as federated learning could allow a fleet of robotic rovers, seeking out water or specific minerals on a distant planet, to share knowledge, meaning they can continue to learn without beaming vast amounts of data back to Earth.
The spacecraft do collaborative updates based on whats seen by other spacecraft, she said. Its a technique to do distributed learning to learn in a collaborative way without bringing all that data to the ground.
Suzuki, who is a technical director at Google alongside her Nasa post, also features in a new gallery, Engineers, which opened at the Science Museum in London on Friday. The gallery highlights technology ranging from space satellites and surgical robots to digital fashion, and aims to challenge misconceptions around what engineers do and who they are.
Suzuki says working for Nasa is the fulfilment of a childhood dream. I have had a bucket list since I was 12 years old, she said. It has nearly 500 items. Working and collaborating with Nasa was one of them.
Other ticked-off items include meeting a member of the royal family (King Charles), building a robot (her first construction was a drum-playing Lego robot), and visiting all the Disneylands.
She describes how a passion for engineering propelled her through difficult school years. I was bullied at school every single day for being autistic and not having the same interests of other girls my age, she said.
Even though I was isolated and I had to face bullying, my real deep passion for creating things for the benefit of mankind was what kept me going.
Thats what kept me moving forward to accept Im not a weirdo, this is who I am. Its OK if not everybody wants to play with Barbies, she said.
After briefly attending music college, she abandoned plans to be a professional pianist and switched to a computer science degree, where she describes being the only girl in a class of 40 boys. At first, I never questioned why there arent many girls in here, she said.
However, she recalls being underestimated, including by one professor who suggested she had copied a classmates homework, when the reverse was the case. They asked me, Where did you get these answers? she said. They believed these boys, who were skipping class and laughing in lessons, had done the work and I had not, even though I was so dedicated.
Suzuki says that being autistic may have allowed her to look beyond engineering stereotypes. I wanted to make things and solve problems for humanity and I thought I can do that with computer science, she said. Because Im autistic, I wanted to know all the steps to get there and if step A fails, this is step B and step C.
She hopes the Science Museum gallery will highlight the vast range of technologies that engineers design, build and fix to bring about positive change in the world.
We should encourage women to go for the technical careers. Otherwise who is going to be the Ada Lovelace of the future? she said. I would like the next generation not only celebrating women from the past but the modern women engineers too. We should have more modern hardcore tech women as well.
The Science Museums free Engineers gallery is now open, celebrating the 10th anniversary of the Queen Elizabeth Prize for Engineering.
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Its not like science fiction any more: Nasa aiming to make spaceships talk - The Guardian
Musks newest SpaceX employee, a 14-year-old child prodigy, becomes youngest-ever software engineer – Fox Business
SpaceX software engineer Kairan Quazi tells 'The Claman Countdown' how he landed a job working for Elon Musk.
While most 14-year-olds are preparing to enter high school, child prodigy Kairan Quazi is gearing up to launch his career at SpaceX working as a software engineer.
Quazi will begin working on Elon Musk's satellite internet constellation, Starlink, making him the youngest-ever space software engineer.
ELON MUSK'S GROUNDBREAKING BRAIN-COMPUTER INTERFACE GETS GREEN LIGHT FOR HUMAN TRIALS
"I was speaking in full sentences at age two. I started doing programming at seven, and I was reading complicated books. I remember I was just six or seven, I think, and my parents took me to Barnes & Noble and I really wanted to buy a pre-calc book," Quazi explained during his appearance on "The Claman Countdown," Wednesday.
SANTA CLARA, CALIFORNIA - JUNE 06: Kairan Quazi, a 14-year-old graduating from Santa Clara University and beginning a job soon as SpaceX's youngest software engineer, at the ring ceremony for the Order of the Engineer at Santa Clara University in San (Shae Hammond/Digital First Media/The Mercury News / Getty Images)
"That was one of my first exposures to very advanced math. And, unbeknownst to them, I did learn from it. And so that really helped when I started community college at age nine," he continued.
Quazi enrolled in Las Positas College, a community college in Livermore, California, at a mere nine years old. Two years later, he transferred to Santa Clara University to study computer science and engineering and recently became the school's youngest-ever graduate.
ELON MUSK SAYS 'CIS' AND 'CISGENDER' ARE CONSIDERED SLURS ON TWITTER
According to Quazi, college felt "natural," and was a place where he felt he could completely be himself.
"It really feels natural, like I'm with people that I can completely be myself around. I don't have to censor my speech or conversations. I'm also very active on campus, and I'm lucky to be embraced by a lot of very close friends, which does include a few professors," he said Thursday.
Former Astronaut Leroy Chiao discusses future American space endeavors, the NASA-SpaceX partnership, commercial space operations, and past experiences on 'Cavuto: Coast to Coast.'
The California native went on to describe his traditional education as "slow suffocation."
"My experience in traditional schools was a slow suffocation for me. It was physically, emotionally and intellectually painful for me to sit in the classroom for days and months and eventually, years on end, not learning at an appropriate pace for me. And while I did look forward to recess and spending time with friends and of course, my daily trip to the principal's office, it was very painful," Quazi explained.
SPACEX'S STARLINK AWARDED PENTAGON CONTRACT FOR SUPPLYING SATELLITES TO UKRAINE
Quazi explained that he received a "variety of infractions" because "it turns out that teachers don't really like it when you want to be a co-instructor."
Sen. Mike Braun, R-Ind., joined The Big Money Show to discuss the growing tensions between the U.S. and China, urging the Biden administration to decouple.
Despite his impressive background, Quazi was rejected by 95 different companies in his job application search following graduation. Fortunately, he eventually received three offers one of which was from Elon Musk.
SPACEX HIRES 14-YEAR-OLD AS SOFTWARE ENGINEER
"My journey was not easy," Quazi began. "Both due to my circumstances and biases as well as market timing. I received 95 rejections, two offers that were placed on hiatus, and then finally three offers, one of which was SpaceX."
SpaceX is known for having a cripplingly rigorous interview process, but according to Quazi, his experience in the company's 10-round interview process was "a lot of fun."
SANTA CLARA, CALIFORNIA - JUNE 06: Kairan Quazi, a 14-year-old graduating from Santa Clara University and beginning a job soon as SpaceX's youngest software engineer, sits at Santa Clara University in Santa Clara, Calif., on Tuesday, June 6, 2023. (S (Shae Hammond/Digital First Media/The Mercury News / Getty Images)
"I heard a lot about the SpaceX interview process being among the most difficult of any companies. I think it takes up something like what, 0.2% of applicants? But it turns out that their interview philosophy, which heavily focuses on wide-ranging technical skills and the ability to think under pressure, really suits my background. I had something like ten interview rounds across various different formats. But they were a lot of fun for me," he told FOX Business.
Quazi is scheduled to begin at SpaceX's Starlink in July, where he will catapult his career working as a space software engineer.
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JEE-Advanced 2023 exam topper V Chidvilas wants to study Computer Science course at IIT Bombay – The Economic Times
V Chidvilas Reddy from Telangana, who secured the top rank in the IIT entrance exam JEE-Advanced, the results of which were announced on Sunday, said he expected to get a rank in the top 10 and was very happy to clinch All India Rank 1. According to IIT Guwahati, which conducted the Joint Entrance Exam (JEE)-Advanced this year, Reddy secured 341 out of 360 marks. His parents are government teachers and Reddy hails from Nagarkurnool district of Telangana."I am very happy and excited. I had expected that I will be in the top 10 and I got rank one," Reddy told PTI here. The 17-year-old, who attributed his success to his family, teachers and mentors, said he plans to take Computer Science at IIT Bombay and would later like to take up research. Reddy, who had bagged 15th rank in JEE Mains said, "I like science and maths. Everyone in my family and teachers supported me a lot."
He said his preparation for the exam was good and he stopped playing cricket and also stayed away from social media for the past two years.
"It was a childhood dream to study in IIT and I had decided on myself. The paper was easier this year," said Reddy, who took his coaching from the Sri Chaitanya Institute in Hyderabad.
"We used to think about his health. There was never any need for us to tell him to study. He himself used to study. He has been very good in academics right from class one to Intermediate (Class 12) and now we are very happy that he has secured All India Rank one in JEE-Advanced," he said.
Bhavya Sree, who hails from Kadapa district of Andhra Pradesh, said, "My parents always used to motivate me whenever I used to feel low. I would like to dedicate my success to my parents, family and faculty".
Six among the top 10 rankholders are from IIT Hyderabad zone. The second rank has been bagged by Ramesh Surya Theja (Hyderbad Zone) followed by Rishi Kalra (Roorkee zone).
A total of 1,80,372 appeared in both papers in IIT-JEE Advanced of which 43,773 have qualified. As many as 36,204 male students and 7,509 female students cleared JEE Advanced 2023.
JEE-Main, which is the admission test for engineering colleges across the country, is the qualifying exam for JEE-Advanced. The exam was conducted on June 4.
The Joint Seat Allocation (JoSAA) counselling will begin from Monday.
( Originally published on Jun 18, 2023 )
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