Lifeboat Foundation

AUSTIN, Texas — Just as artificial intelligence (AI) and machine learning emerge as the fastest-growing in-demand skill sets in the global workforce, The University of Texas at Austin is establishing a new online master’s program in AI with the potential to bring thousands of new students into the field.

Delivered by the Department of Computer Science and Machine Learning Laboratory, the Master of Science in Artificial Intelligence (MSAI) will be the first large-scale degree program of its kind and the only master’s degree program in AI from a top-ranked institution to be priced close to $10,000. The master’s degree covers about two years’ worth of course content, to be taken at the learner’s own pace, and will be delivered in partnership with online education platform, edX.

AI master’s programs from peer institutions carry costs five to 10 times as high as UT Austin’s and serve only dozens of students – not the hundreds or thousands the Texas team projects it will reach annually within five years. Similarly priced online master’s programs from the university, in computer science and data science, enroll 2,500 students within less than five years of their launch. Like those programs, the fully online MSAI program is both flexible and accessible.

MIT neuroscientists have found that the adult brain is filled with millions of “silent synapses” — immature connections between neurons that are not active until they are needed to help create new memories.

It was previously believed that silent synapses only existed during early development, playing a role in helping the brain learn new information encountered in early life. However, the new MIT

MIT is an acronym for the Massachusetts Institute of Technology. It is a prestigious private research university in Cambridge, Massachusetts that was founded in 1861. It is organized into five Schools: architecture and planning; engineering; humanities, arts, and social sciences; management; and science. MIT’s impact includes many scientific breakthroughs and technological advances. Their stated goal is to make a better world through education, research, and innovation.

A chatbot powered by reams of data from the internet has passed exams at a US law school after writing essays on topics ranging from constitutional law to taxation and torts.

ChatGPT from OpenAI, a US company that this week got a massive injection of cash from Microsoft, uses artificial intelligence (AI) to generate streams of text from simple prompts.

The results have been so good that educators have warned it could lead to widespread cheating and even signal the end of traditional classroom teaching methods.

YouTube announced today that it’s partnering with Arizona State University and educational video company Crash Course to launch a new program that enables students to earn college credit. The Google-owned company says the new program, called College Foundations, is designed to create an affordable and accessible way to earn college credit.

Starting today, students can sign up for four courses that start on March 7, 2023, and are eligible for transfer credit. The program does not require applications or a minimum GPA for enrollment. It includes common first-year college courses, including Intro to Human Communication, Rhetoric and Composition, Real World College Math and US History to 1865.

The program is expected to expand to 12 available courses by January 2025 to give students a chance to receive credit for an entire first year of college. There is a $25 fee if a student elects to sign up and begin coursework, and a $400 fee to receive college credit for each course. Those who sign up before March 7 will receive a $50 discount. Courses can be taken as often as needed until the student is content with their grade. The credit can then be used at institutions that accept credits from Arizona State University.

#generalrelativitylecture.

General theory of relativity has got a deep understanding. In this General relativity lecture I have explained, the deep philosophical meaning of General relativity. I have also described from Special relativity when we move to General relativity, the entire notion of spacetime changes and why the mathematics becomes difficult. I have also discussed quantum mechanics and general relativity and its connection to string theory. This is a video, which discusses about the nature of development of the process and some deep philosophies which lies in the heart of spacetime.

Continue reading “General theory of relativity | General relativity explained | General relativity lecture” »

A Wharton Professor published a report that detailed how Chat GPT3, an artificial intelligence, performed on a final exam in his MBA class.

Part 1: the future of medicine: nanobots part 2: a new era in mental health: nanobots part 3: the healing power of nanobots part 4: the genetic and data-connected revolution: nanobots part 5: the end of plastic surgery: nanobots part 6: the fertility revolution: nanobots part 7: the job-specific human: nanobots part 8: the end of education as we know it: nanobots part 9: the rise of programmable matter: nanobots part 10: the next generation of humans: nanobots.

Nanotechnology is a rapidly evolving field with the potential to revolutionize medicine in the future. One of the most promising applications of nanotechnology is the use of nanobots in medicine. Nanobots are microscopic robots that can be programmed to perform specialized activities such as disease diagnosis and treatment. They can be used to diagnose and treat a wide range of conditions, including mental illnesses such as depression and anxiety, as well as physical injuries and illnesses.

One of the most interesting potential applications of nanobots in medicine is the treatment of mental illnesses. Mental illnesses are among the most common and devastating diseases of our time. They can be programmed to constantly map the brain and correct faults as they develop. Alzheimer’s disease may theoretically be treated if a person was implanted with nanobots at birth.

When P M Murugesan decided to discontinue his education to join his father’s farming business, he had many ideas in mind. In particular, he wanted to work with the banana plant, being well aware that though farmers end up burning tonnes of banana waste, there’s a utility to each part of the crop.

In 2008, he started thinking of ways to make products out of banana waste. He found the idea of making ropes interesting.

“The idea struck me when I saw banana threads being used to thread flowers for garlands. I used the machine that turns coconut husk into a rope as the base and modified it to work well for processing banana fibre,” says the innovator.

In 2020 I joined the private beta test of Open AI’s Generative Pre-trained Transformer 3 (GPT-3), which is an earlier version of ChatGPT. When ChatGPT was released in November 2022, I started experimenting with it. For over two years I’ve been exploring the strengths and limits of this technology and assessing how this tool could be useful to me. I’m also interested how this new technology is being utilized by scientists and academics to make meaningful contributions to academic work and education.

A recent study demonstrated that ChatGPT was able to pass the US Medical Licensing Exam without any special training prior to the exam and was able to demonstrate a high level of insight in its explanations. The results suggest that ChatGPT may be able to assist with medical education.

I published the first article about my experiments with ChatGPT last week. The article entitled How The Evolution Of AI In Healthcare Aligns With Thomas Kuhn’s Structure has been viewed over 13,000 times, and has received and