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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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‘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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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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TNEA Rank List 2023 to be released shortly on tneaonline.org; counselling likely to be postponed by two w - Times of India

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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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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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Artificial Intelligence: The Journey to a Thinking Machine – Visual Capitalist

Artificial Intelligence: The Journey to a Thinking Machine

When the latest iteration of generative artificial intelligence dropped in late 2022, it was clear that something significant had changed.

The language model ChatGPT reached 100 million active monthly users in just two months, making it the fastest-growing consumer application in history. Meanwhile, Goldman Sachs predicted that AI could add 7% to global GDP over a 10-year period, almost $7 trillion, but also replace 300 million jobs in the process.

But even as AI continues to disrupt every aspect of life and work, its worth taking a step back.

In this visualization, the first in a three-part series called The AI Revolution for sponsor VERSES AI, we ask how we got here, where were going, and how close are we to achieving a truly thinking machine?

The term artificial Intelligence was coined by computer scientist John McCarthy in 1955 in a conference proposal. Along with Alan Turing, Marvin Minsky, and many others, he is often referred to as one of the fathers of AI.

Since then, AI has grown in leaps and bounds. AI has mastered chess, beating Russian grandmaster and former World Chess Champion Garry Kasparov in 1997. In 2016, Googles AlphaGo beat South Korean Go champion Lee Sedol, 4-1. The nine-year gap in achievements is explained by the complexity of Go, which has 10360 possible moves compared to chess paltry 10123 combinations.

DALL-E arrived in 2021 and ChatGPT-4 in early 2023, which brings us to today.

Theres a big difference between the Roomba that vacuums your condo and HAL from 2001: Space Odyssey. This is why researchers working in the field have come up with the following ways to classify AI:

Despite a false alarm by one Google software engineer in 2022 and a paper by early GPT-4 boosters, no one really believes that recent generative AIs qualify as thinking machines, however you define it. ChatGPT, for all its capabilities, is still just a souped-up version of autocomplete.

That was the title of Philip K. Dicks science fiction classic and basis for the movie Blade Runner. In it, Harrison Ford plays a blade runner, a kind of private investigator who used a version of the Turing Test to ferret out life-like androids. But were not Harrison Ford and this isnt science fiction, so how could we tell?

People working in the field have proposed various tests over the years. Cognitive scientist Ben Goertzel thought that if an AI could enroll in college, do the coursework and graduate, then it would pass. Steve Wozniak, co-founder of Apple, suggested that if an AI could enter a strange house, find the kitchen, and then make a cup of coffee, then it would meet the threshold.

A common thread that runs through many of them, however, is the ability to perform at one thing that humans do without effort: generalize, adapt, and problem solve. And this is something that AI has traditionally struggled at, even as it continues to excel on other tasks.

And it may be that the current approach, which has shown incredible results, is running out of road.

Researchers have created thousands of benchmarks to test the performance of AI models on a range of human tasks, from image classification to natural language inference.According to Stanford Universitys AI Index, AI scores on standard benchmarks have begun to plateau, with median improvement in 2022 limited to just 4%.

New comprehensive benchmark suites have begun to appear in response, like BIG-Bench and HELM, but will these share the same fate as their predecessors? Quickly surpassed, but still no closer to an AIlike J.A.R.V.I.S. that could pass the Wozniak Coffee Test?

VERSES AI, a cognitive computing company specializing in next generation AI and the sponsor of this piece, may have an answer.

The company recently released research that shows how to build an AI that can not only think, but also introspect and explain its thought processes. Catch the next part of The AI Revolution series to learn more.

Learn more about how VERSES AI is building a smarter world.

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Exploring the Economic Opportunities of Generative AI – Analytics Insight

Lets examine the economic opportunities and industries employing generative AI.

Because of their broad utility and preternatural ability to have a conversation with a user, generative AI applications like ChatGPT, GitHub, Copilot, and Stable Diffusion have captured the imagination of people all over the world in a way that AlphaGo did not. The reorganization and classification of data are two examples of commonplace tasks that the most recent generative AI applications can carry out. But they can write text, make music, and make digital art that has made news and inspired people to experiment independently. As a result, a more comprehensive range of stakeholders are grappling with the effects of generative AI on business and society with little context.

It is anticipated that GenAI will have a significant positive impact in four key areas: software engineering, customer operations, marketing and sales, and research and development (R&D).

Marketing and sales productivity could be increased by 5 to 15 percent and 3 to 5 percent, respectively, by GenAI-generated personalized and intelligent content. GenAI is anticipated to increase software engineering productivity by 20 to 45 percent by accelerating system design, code correction, and creation. GenAI can improve methods in research and development, resulting in lower production and transportation costs. GenAI can unleash peoples creative potential and revolutionize industries by acting as a catalyst for new technologies.

The economic potential of GenAI continues to inspire professionals from all sectors as we move forward. The annual injection of trillions of dollars into the global economy is anticipated to alter industries and create new occupations and activities. The global economy is on the verge of a dynamic new era due to the emergence of GenAI, which will present opportunities that will have a long-lasting impact on our planet.

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Best Tech Documentaries That Must to Watch in 2023 – Startup.info

The world of technology is a constant source of innovation, transformation, and intrigue. It shapes our lives in ways we couldnt have imagined just a few decades ago.

If youre a tech enthusiast or simply curious about the inner workings of this ever-evolving field, youre in for a treat. Hulu, the popular streaming platform, offers a treasure trove of tech documentaries that will captivate your mind and broaden your horizons, even if you are living in a restricted country like South Africa! Oh, if youre a South African citizen and wondering how you can stream Hulu in South Africa, then the simple answer is a VPN! Best way to unblock the limitations.

In this article, well take you on a journey through the 12 best tech documentaries of all time available on Hulu:

Release Date: September 9, 2020

The Social Dilemma unravels the dark side of social media and its impact on society. Through interviews with industry insiders, this thought-provoking documentary examines the algorithms, data privacy concerns, and addictive nature of social platforms. Brace yourself for eye-opening insights into the influence of technology on our behavior and the consequences of our digital lives.

Release Date: June 15, 2011

Jiro Dreams of Sushi is a mesmerizing documentary that explores the artistry and dedication of sushi master Jiro Ono. This film goes beyond the culinary realm, offering a profound exploration of craftsmanship, perfectionism, and the pursuit of excellence. Prepare to be inspired by Jiros relentless pursuit of mastery and unwavering commitment to his craft.

Release Date: September 4, 2015

Steve Jobs: The Man in the Machine provides an intimate look into the life and legacy of the iconic Apple co-founder. This documentary delves into the enigmatic persona of Steve Jobs, exploring his visionary leadership, controversial practices, and the profound impact he had on the technology industry. Gain an in-depth understanding of the man behind Apples rise to success.

Release Date: June 27, 2014

The Internets Own Boy portrays the story of Aaron Swartz, a brilliant computer programmer and activist. This powerful documentary sheds light on Swartzs contributions to internet technology, his advocacy for open access to information, and the legal battle he faced. Discover the tragic tale of a young prodigy whose life and work continue to inspire the fight for online freedom.

Release Date: January 23, 2016

In Lo and Behold, legendary filmmaker Werner Herzog explores the interconnectedness of our modern world. The documentary examines the internets past, present, and potential future through captivating interviews. Prepare to be fascinated by Herzogs unique perspective on technology and its profound impact on human civilization.

Release Date: February 22, 2017

AlphaGo takes us into the world of artificial intelligence and its ultimate challenge: defeating a world champion Go player. This gripping documentary follows the development of the AI program and its battle against the grandmaster. Witness the intersection of human ingenuity and machine learning as AlphaGo pushes the boundaries of what is possible in artificial intelligence.

Release Date: September 26, 2014

Print the Legend provides an inside look into the world of 3D printing, one of the most transformative technologies of our time. This documentary explores the pioneers and innovators in the industry, revealing their struggles, successes, and the disruptive potential of 3D printing. Get ready to witness the future of manufacturing and its impact on various sectors.

Release Date: March 30, 2021

The Codebreaker sheds light on the remarkable life and achievements of groundbreaking mathematician and cryptanalyst Elizebeth Smith Friedman. This documentary explores her crucial role in breaking codes during World War II and her contributions to the field of cryptology. Prepare to be inspired by the story of a brilliant woman who played a pivotal role in shaping the world of codebreaking.

Release Date: July 24, 2019

The Great Hack delves into data privacy, exploring the Cambridge Analytica scandal and its implications for democracy. This documentary exposes the manipulation of personal data and its role in political campaigns. Discover the power and potential dangers of data mining and its impact on society and elections.

Release Date: October 24, 2014

Citizenfour provides a riveting look into the revelations of Edward Snowden, the former NSA contractor turned whistleblower. This documentary takes you behind the scenes as Snowden discloses classified information on mass surveillance programs. Experience the tension and ethical dilemmas surrounding privacy, security, and government surveillance.

Release Date: September 10, 2018

Evelyn is a poignant documentary exploring technologys effects on mental health and human connection. Through the lens of a familys journey, this film examines grief, healing, and the impact of digital devices on our lives. Prepare for an emotional and reflective exploration of the delicate balance between technology and human well-being.

Release Date: March 1, 2019

Apollo 11 takes you on a breathtaking journey back to one of humanitys greatest achievementsthe first moon landing. This documentary uses stunning archival footage and audio recordings to immerse you in the historic Apollo 11 mission. Experience the awe-inspiring moments that defined a generation and witness the technological marvels that made the lunar landing possible.

These 12 tech documentaries on Hulu offer an engaging and enlightening exploration of the world of technology. From the ethical implications of social media to the remarkable stories of visionary leaders and groundbreaking innovations, these films provide a unique perspective on the impact of technology on our lives.

So, grab your remote, prepare to be amazed, and embark on a captivating journey through the best tech documentaries ever. With Hulu as your streaming companion, youll gain a deeper understanding of the fascinating world of technology and its profound influence on our society.

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OpenAI of Sam Altman Scores Most Visible In TIME100 Most … – Cryptopolitan

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TIME magazine recently unveiled its highly anticipated 2023 TIME100 Most Influential Companies list, showcasing businesses and leaders that are shaping the future. Among the diverse group of companies, we have top AI companies performing well in their distinctive artificial intelligence (AI) niches.TIME Magazine has beenone of the most authoritative and informative guides to what is Read more

TIME magazine recently unveiled its highly anticipated 2023 TIME100 Most Influential Companies list, showcasing businesses and leaders that are shaping the future. Among the diverse group of companies, we have top AI companies performing well in their distinctive artificial intelligence (AI) niches.TIME Magazine has beenone of the most authoritative and informative guides to what is happening in politics, business, health, science and entertainment, written without any editorial slant. Time has one of the worlds largest circulations for a weekly news magazine.

Some of the listsincluding Best Inventions and TIME 100 Companieshave a paid application process through which companies may submit their products and organizations for editorial consideration. The proposed magazine was initially called Facts, wanting to distinguish it from opinion. They changed the name to Time and used the slogan Take Time Its Brief.

To createTIME100 Companies, our editors, led by Emma Barker, seek nominations from across sectors, and poll our global network of contributors and correspondents, as well as outside experts. Then we evaluate each on key factors, including impact, innovation, ambition, and success. The result is a diverse group of businesses helping chart an essential path forward.

You may read the whole vetting process here. Jacobs finds that the most visible among them isOpenAI and its CEO Sam Altman. He further explains that their ChatGPT program has rocketed in popularity, hitting 100 million active users in two months. (It took Instagram 2 years.) TIMEs former editor-in-chiefEdward Felsenthalvisited Altman and his colleagues in San Francisco in May. Here are the top 6 AI companies included in the list for your information and evaluation.

OpenAI, co-founded by Elon Musk and Sam Altman, is an esteemed AI research organization with a focus on the development of artificial general intelligence (AGI) for the betterment of humanity. The company is widely recognized for its cutting-edge language models, such as GPT-3, which are instrumental in various domains, including natural language understanding, translation, and content generation.

OpenAI, based in the United States, has garnered considerable recognition for its notable contributions to the field of AI research and its extensive collaborations with leading technology companies. Renowned for its cutting-edge advancements and breakthroughs in artificial intelligence, OpenAI has positioned itself as a prominent player in shaping the future of AI technology. Its impressive market performance underscores the companys influential role in driving innovation and fostering collaborations within the AI community.

Nvidia is a leading company renowned for its expertise in graphics processing units (GPUs) and AI hardware solutions, making significant contributions to the advancement of AI computing. Their high-performance GPUs are extensively utilized in various AI applications, notably in deep learning and neural network training. The versatility of Nvidias GPUs extends to industries like autonomous vehicles, healthcare, and scientific research, where they play a pivotal role in accelerating AI-driven innovations.

Nvidia, a prominent United States-based company, has achieved remarkable growth and is widely recognized as a key player in the AI hardware market. With its strong presence in the gaming industry and a focus on accelerating AI computing, Nvidia has solidified its position as a leading provider of graphics processing units (GPUs) and AI hardware solutions. Its impressive market performance further establishes Nvidia as a significant contributor to the advancement of AI technologies.

DeepMind, a subsidiary of Alphabet Inc. headquartered in the United Kingdom, is an esteemed AI research lab at the forefront of developing general-purpose AI systems. Known for its groundbreaking achievements, including the triumph of AlphaGo against world champion Go players, DeepMind continues to push the boundaries of AI innovation. The companys diverse range of applications spans across vital domains such as healthcare, robotics, and climate change, showcasing its commitment to leveraging AI for transformative advancements.

DeepMind has established itself as a dominant force in the AI industry, driven by its pioneering research and groundbreaking technological advancements. Renowned for its cutting-edge innovations, DeepMind has emerged as a key player in the field, attracting a wide range of collaborations and investments from diverse sectors. Its exceptional market performance reflects the companys influential role in pushing the boundaries of AI capabilities and forging strategic partnerships to accelerate the adoption of AI technologies across industries.

Based in New York, Hugging Face is a leading expert in natural language processing (NLP) and conversational AI. Renowned for its expertise, the company has developed the widely acclaimed Hugging Face Transformers library, which provides developers and researchers with access to pre-trained models for diverse NLP tasks. With their tools gaining widespread adoption, Hugging Face continues to drive innovation in the field of NLP, empowering professionals to unlock the potential of conversational AI.

Hugging Face has achieved remarkable market performance with its user-friendly Natural Language Processing (NLP) solutions. The companys innovative approach has garnered widespread adoption within the AI community, positioning Hugging Face as a prominent and influential player in the field.

Headquartered in London, United Kingdom, Metaphysic is a leading AI company specializing in computer vision and intelligent systems. With a strong focus on innovation, the company develops cutting-edge technologies for object recognition, video analysis, and autonomous driving. Metaphysics advanced products have gained recognition and are widely adopted across industries, ranging from retail to transportation, where they enable groundbreaking advancements and transformative solutions.

Metaphysic has exhibited exceptional market performance through its expertise in computer vision. The companys outstanding capabilities in this field have earned it recognition and strategic partnerships, establishing Metaphysic as a prominent player within the AI industry.

Based in New York, Runway is an AI company dedicated to democratizing AI tools and making them accessible to a wide range of users. Their platform simplifies the utilization of complex AI models, allowing individuals to create AI-powered applications even without extensive coding expertise. Runways user-friendly approach has garnered significant attention among artists, designers, and creative professionals, enabling them to seamlessly integrate AI technologies into their work and unlock new possibilities for innovation and expression. With a strong market performance in the United States, Runway continues to empower individuals across various industries to harness the potential of AI.

The top 10 AI companies on TIMEs 2023 Most Influential Companies list represent a diverse group of organizations driving innovation and shaping the future of AI technology. These companies, including OpenAI, Nvidia, Google DeepMind, Hugging Face, Metaphysic, and Runway, have made significant contributions to AI research and development, spanning various domains such as language models, AI hardware, general-purpose AI systems, NLP, computer vision, and democratizing AI tools. Their market performances reflect their influential roles in advancing AI capabilities and fostering collaborations across industries.

Disclaimer. The information provided is not trading advice. Cryptopolitan.comholds no liability for any investments made based on the information provided on this page. We strongly recommend independent research and/or consultation with a qualified professional before making any investment decisions.

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Red-Hot Ethereum-Based Altcoin Primed To Do Really Well Going Forward, Says Top Crypto Strategist – The Daily Hodl

A widely followed crypto trader believes that one strong-performing Ethereum (ETH)-based altcoin is about to have a huge breakout.

Pseudonymous crypto analyst Bluntz tells his 223,000 Twitter followers that the price pattern of indexing protocol The Graph (GRT) indicates the potential of a 150% increase from its current value.

According to the trader, GRT broke out of an ascending triangle and also completed an Elliot Wave Theory three-wave correction pattern labeled A, B, and C.

So many good setups out there that Im liking, nice ascending triangle break out GRT 4-hour, plus huge abc looks complete on weekly timeframe as well, potential for this to do really well.

Looking at his chart, the trader predicts The Graph will soon head to at least the $0.25 price level.

The Graph has soared in price since the start of the year, trading for around $0.05 in December 2022. At time of writing, GRT is worth $0.10, down 1.9% during the last 24 hours.

Also on the traders radar is the leading smart contract platform Ethereum.

According to Bluntz,ETH has broken out of a descending triangle and hepredicts rally to the $2,400 level by July. He also notes that ETH is picking up strength against Bitcoin (BTC) on the ETH/BTC chart.

ETH/BTC finally swept its major lows overnight which coincided with a bull flag break on daily USD pair. Time to get some ETH exposure here in my opinion, targeting new highs. Havent been this excited about crypto in months.

Ethereum is worth $1,878 at time of writing, down 2% during the last 24 hours.

Lastly, Bluntz highlights how Bitcoins latest rally this week has erased its two-month-long move to the downside.

Its times like these we get reminded why crypto is the best asset class to trade, two months of downside BTC price action reclaimed in a single weekly candle.

Bitcoin is trading for $30,022 at time of writing, down 0.4% in the past 24 hours.

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Red-Hot Ethereum-Based Altcoin Primed To Do Really Well Going Forward, Says Top Crypto Strategist - The Daily Hodl

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