Lifeboat Foundation

Welcome Back To Future Fuse Technology today is evolving at a rapid pace, enabling faster change and progress, causing an acceleration of the rate of change. However, it is not only technology trends and emerging technologies that are evolving, a lot more has changed this year due to the outbreak of COVID-19 making IT professionals realize that their role will not stay the same in the contactless world tomorrow. And an IT professional in 2023–24 will constantly be learning, unlearning, and relearning (out of necessity if not desire).Artificial intelligence will become more prevalent in 2023 with natural language processing and machine learning advancement. Artificial intelligence can better understand us and perform more complex tasks using this technology. It is estimated that 5G will revolutionize the way we live and work in the future. From the evolution of Artificial Intelligence (AI), the internet of things (IoT), and 5G network to cloud computing, big data, and analytics, technology has the capacity or potential to transform everything, revolutionizing the future of the world. Already, we see the rapid roll-out of autonomous vehicles (self-driving cars) currently in trial phases for all car companies, and Elon Musk’s Tesla is improving the technology by making it more secure and redefined. Forward-thinking and innovative companies seem not to miss any chance to bring breakthrough innovation to the world…in this video, we are looking into The World Will Be REVOLUTIONIZED by These 18 Rapidly Developing Technologies.

TAGS: #ai #technologygyan #futureTechnology.

Continue reading “The World Will Be REVOLUTIONIZED by These 18 Rapidly Developing Technologies” »

The internet is abuzz with mentions of Comet C/2022 E3 (ZTF) a.k.a., the green comet, which on Wednesday could be seen with the naked eye.

As per NASA, the comet paid our planet a visit after a good 50,000 years. It was a rare feast for stargazers and astronomers alike as people around the globe witnessed the astronomical event.

Scientists have made one of the most precise maps of the universe’s matter, and it shows that something may be missing in our best model of the cosmos.

Created by pooling data from two telescopes that observe different types of light, the new map revealed that the universe is less “clumpy” than previous models predicted — a potential sign that the vast cosmic web that connects galaxies is less understood than scientists thought.

According to our current understanding, the cosmic web is a gigantic network of crisscrossing celestial superhighways paved with hydrogen gas and dark matter. Taking shape in the chaotic aftermath of the Big Bang, the web’s tendrils formed as clumps from the roiling broth of the young universe; where multiple strands of the web intersected, galaxies eventually formed. But the new map, published Jan. 31 as three separate studies in the journal Physical Review D, shows that in many parts of the universe, matter is less clumped together and more evenly spread out than theory predicts it should be.

Microsoft is working to incorporate a faster version of OpenAI’s ChatGPT, known as GPT-4, into Bing in the coming weeks in a move that would make the search engine more competitive with Google, according to a new report from Semafor. The integration would see Bing using GPT-4 to answer search queries.

People familiar with the matter told Semafor that the main difference between ChatGPT and GPT-4 is speed. Although ChatGPT sometimes takes a up to a few minutes to form a response, GPT-4 is said to be a lot quicker in responding to queries. The latest software’s responses are also said to be more detailed and more humanlike.

The planned incorporation of ChatGPT into Microsoft products is expected to trigger new competition in internet search, which has largely been dominated by Google. By using GPT-4, Bing would be able to provide users with humanlike answers, as opposed to just simply displaying a list of links.

Here’s some interesting SpaceX News!

For the last few months, SpaceX has been having trouble launching Starlink satellites, once going almost two months between Starlink launches. The problem wasn’t that SpaceX was launching less often, but that SpaceX had a surge in business. The long-term solution was to go from 61 launches last year to about 100 launches this year. (SpaceX only did 31 launches in 2021, so they are growing rapidly!)

This month was much better for Starlink launches, with 3 this month. The key to squeezing in 3 launches was that SpaceX did 7 launches this month which is a 7 12 = 84 launch rate, definitely higher than last’s years 61 launch rate.

Continue reading “What Is Wright’s Law” »

For years the dream of competition in the world of home internet has been just that; a dream. Now in 2023, we are starting to see it become a reality. Wireless internet from places like T-Mobile and Verizon has come on strong recently. New faster satellite internet from SpaceX, and fiber internet have all expanded recently, meaning many Americans who may have had two options in the past now have 4 or 5 options.

Now Amazon wants to join that list by offering high speed internet from space, similar to SpaceX’s Starlink service.

Here is everything we know about Amazon’s new home internet service:

The workshop discusses the recent issue Systems Neuroscience Through The Lens of Evolutionary Theory edited by Paul Cisek and Ben Hayden published by the Royal Society:

https://royalsocietypublishing.org/toc/rstb/2022/377/1844

Continue reading “Systems Neuroscience Through the Lens of Evolutionary Theory Workshop” »

A double-whammy for systematic education since the need for knowledge-workers will decrease at the same time as AI fundamentally questions the need for / uses of “Knowledge Gatekeepers” — establishment academia, lawyers, even actors — the chatterbot classes.

When high school English teacher Kelly Gibson first encountered ChatGPT in December, the existential anxiety kicked in fast. While the internet delighted in the chatbot’s superficially sophisticated answers to users’ prompts, many educators were less amused. If anyone could ask ChatGPT to “write 300 words on what the green light symbolizes in The Great Gatsby,” what would stop students from feeding their homework to the bot? Speculation swirled about a new era of rampant cheating and even a death knell for essays, or education itself. “I thought, ‘Oh my god, this is literally what I teach,’” Gibson says.

But amid the panic, some enterprising teachers see ChatGPT as an opportunity to redesign what learning looks like—and what they invent could shape the future of the classroom. Gibson is one of them. After her initial alarm subsided, she spent her winter vacation tinkering with ChatGPT and figuring out ways to incorporate it into her lessons. She might ask kids to generate text using the bot and then edit it themselves to find the chatbot’s errors or improve upon its writing style. Gibson, who has been teaching for 25 years, likened it to more familiar tech tools that enhance, not replace, learning and critical thinking. “I don’t know how to do it well yet, but I want AI chatbots to become like calculators for writing,” she says.

Continue reading “ChatGPT Is Coming for Classrooms. Don’t Panic” »

“The future of AI is much bigger than anyone realizes — not just in terms of technology, but in its impact on society as a whole.” — Mark Zuckerberg

Prompt engineering is a process of crafting optimized input texts (prompts) to generate accurate results from the artificial intelligence model. By the launch of ChatGPT, prompt engineering is the booming term in internet. Actually what is its deep meaning and is it be the future of AI. Prompt engineering is a relatively new field that focuses on the design and development of systems that can generate human-like prompts, such as text, speech, and images. These prompts can be used to interact with users in a more natural and intuitive way, making it easier for them to understand and use AI-powered systems.

By the advance of artificial intelligence models like ChatGPT, midjourney and stable diffusion which are enriched with high potential people are confused how to use it and what are the optimized prompts that could be used to extract the full potential of these models. One key aspect of prompt engineering is data preprocessing and preparation. This includes cleaning, normalizing, and formatting the data used to train the model, so that it is in the right format and of high quality.