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In the cusp of building animal-like features (including humans) in robots and other machinery, the scientists have built the artificial flight mechanism for robots, which are naturally present in birds. Even if Pigeons may be considered rats of the sky, some scientists have found greater value in these urban birds while developing a PigeonBot.
In the cusp of building animal-like features (including humans) in robots and other machinery, the scientists have built the artificial flight mechanism for robots, which are naturally present in birds. Even if Pigeons may be considered rats of the sky, some scientists have found greater value in these urban birds while developing a PigeonBot. Till now the features that used to differentiate between rigid drones and birds – modifying the shape of their wings by fanning out their feathers or shuffling them closer together or adjustments allowing birds to cut through the sky more nimbly – have become narrow. Making the use of new insights into exactly how pigeons’ joints control the spread of their wing feathers, scientists have created a robotic pigeon or PigeonBot, whose feathered wings change shape like the real one. Researchers at Stanford University invented PigeonBot that has a pair of “biohybrid morphing wings.” The robot is being used to test out new control principles. One of the most interesting aspects of the PigeonBot is that the scientists fitted the flying robot with real bird feathers. According to David Lentink, a professor of Mechanical Engineering at Stanford University, the motions that bird wings make are seen as far superior to those of an aircraft: “it actually enables birds to fly further, longer, maneuver much better.” He further added, “I really love aircraft as well, but it just doesn’t compare to a bird.” As per a report , to formulate the robotic design principles for soft feathered morphing wings, the researchers measured the kinematics of feathers as a function of both wrist and finger angle in animated pigeon cadavers using high-resolution motion capture (Materials and Methods). From these measurements, they derived the most parsimonious principles that explain how a bird articulates its flight feathers during wing morphing using the left and right wrist and finger joints as four independently controlled degrees of freedom. Next, researchers used these design principles to develop a biohybrid morphing wing with 40 underactuated pigeon feathers, which are soft, robust, and light compared with previous robot feathered wings made from carbon and glass fiber. To test the effectiveness of their underactuated soft biohybrid morphing wing, researchers flexed and extended the wing dynamically in a wind tunnel and determined the robotic feather transfer functions under aerodynamic loading. Last, they demonstrated how asymmetric wing planform control via wrist and finger motion initiates turning flight in their new soft biohybrid aerial robot: PigeonBot. As noted by BGR, the aim of the project wasn’t to just create lifelike bird bots that scientists could send into the skies for fun, but rather to give researchers an easier way to study how the wings of a pigeon work to keep it aloft. That plan has apparently worked splendidly, as a second study using the robotic wings revealed one of the secrets of how pigeon wings move during flight. The researchers in that study, published in Science , explain that the feathers themselves have “hooks” that latch on to neighboring feathers as the bird flaps its wings. These hooks are so small that you can’t see them with the naked eye, but they were revealed using microscope technology.
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Geoffrey Hinton, a pioneer in artificial intelligence (AI) referred to as “the Godfather of AI,” has left Google. He has joined a growing chorus of critics warning of the potential dangers of AI systems. In an interview last week, Dr. Hinton expressed concerns about the technology at the heart of chatbots like ChatGPT and warned that it could cause serious harm.Hinton’s Journey: From Groundbreaker to Doomsayer
In 2012, Dr. Hinton and two of his graduate students at the University of Toronto created technology that became the intellectual foundation for the AI systems the tech industry’s most prominent companies believe are critical to their future. Google spent $44 million to acquire a company Dr. Hinton and his two students started. Their system led to the creation of increasingly powerful technologies, including new chatbots like ChatGPT and Google Bard. In 2023, Dr. Hinton and two other longtime collaborators received the Turing Award, often called “the Nobel Prize of computing,” for their work on neural networks.
However, on Monday, Dr. Hinton, the Godfather of AI, officially joined a growing chorus of critics warning of the risks of generative artificial intelligence. This technology powers popular chatbots like ChatGPT. He said he quit his job at Google, where he has worked for over a decade, and became one of the most respected voices in the field, so he can freely speak out about the technology.“This Stuff Could Get Smarter Than People” ~ Geoffrey Hinton.
Dr. Hinton believes AI systems are becoming increasingly dangerous as companies improve technology. He is worried that the internet will be flooded with false photos, videos, and text, and the average person will not be able to know what is true anymore. He is also concerned that AI technologies will upend the job market, with chatbots like ChatGPT potentially replacing paralegals, personal assistants, translators, and others who handle rote tasks.
However, his most significant concern is that future versions of the technology threaten humanity. He warns that as individuals and companies allow AI systems to generate and run their computer code independently, unexpected behavior may arise from the vast amounts of data they analyze. Dr. Hinton fears a day when genuinely autonomous weapons—those killer robots—become a reality. “The idea that this stuff could get smarter than people—a few people believed that,” he said. “But most people thought it was way off. And I thought it was way off. I thought it was 30 to 50 years or even longer away. I no longer think that.”
Also Read: ChaosGPT: Just a Mischief or Bot with a Plan to Destroy HumanityA Growing Chorus of Critics
Dr. Hinton is only one of many experts warning of the potential risks of AI systems. After the San Francisco start-up, OpenAI released a new version of ChatGPT in March, more than 1,000 technology leaders and researchers signed an open letter calling for a six-month moratorium on developing new systems because AI technologies pose “profound risks to society and humanity.” Several days later, 19 current and former leaders of the Association for the Advancement of Artificial Intelligence, a 40-year-old academic society, released their letter warning of the risks of AI.
Also Read: Elon Musk’s Urgent Warning, Demands Pause on AI ResearchGlobal Regulation Needed?
While many experts, including some of his students and colleagues, say that the potential risks of AI are hypothetical, the Godfather of AI believes that the race between Google, Microsoft, and other tech giants will escalate into a global race that will not stop without some international regulation.
Also Read: Google VS Microsoft: The Battle of AI InnovationGoogle’s Response
Google’s chief scientist, Jeff Dean, responded to Dr. Hinton’s departure by stating that the company remains committed to a responsible approach to AI. He said the company continually learns to understand emerging risks while innovating boldly.Our Say
Dr. Geoffrey Hinton’s resignation from Google and his warning of the potential dangers of AI systems have reignited an essential conversation about the role of technology in society. As companies continue to improve their AI systems, they must consider the potential risks and work to mitigate them. At the same time, governments and regulatory bodies must step up to ensure that technology is developed and used responsibly. Only by working together can we realize the benefits of AI while minimizing its risks.
Also Read: AGI Revolution is Comparable to the Invention of the Wheel: AI Godfather Geoffrey Hinton
Researchers at Harvard Medical School and Massachusetts General Hospital built a living laser partly to study interactions between electronic and biological systems, and partly out of sheer curiosity. The world’s first biological laser, made from a single living cell, could lead to better microscope imaging inside the body and even targeted light therapies, researchers say.
A single human cell engineered to express green fluorescent protein can be used to amplify photons into super-short pulses of laser light, the researchers say.
Lasers consist of a gain medium, the source of optical gain within the laser which absorbs external energy and excites atoms or molecules into a more energized state, inside an optical cavity. Most lasers use semiconductors, crystals or gases as a gain medium. In this case, the researchers used green fluorescent protein (GFP).
First, the researchers filled an inch-long cylinder with a GFP solution, and placed mirrors at each end. They pulsed it with light and confirmed the GFP solution could amplify the input energy into short pulses of laser emissions, according to a news release from Mass. General. This proved GFP could serve as the laser’s gain medium. Green fluorescent protein, isolated from jellyfish, will emit green light when it is exposed to blue light.
Then the team engineered human embryonic kidney cells to produce GFP, and placed a single cell between two mirrors, just 20 micrometers apart. The researchers flooded the cell with blue light, and the cell lit up. The mirrors served as the optical cavity, allowing light to bounce through the cell many times, amplifying it into a coherent green beam that was visible to the naked eye.
Living Laser Schematic
When a single biological cell genetically programmed to produce green fluorescent protein is placed inside an optical resonator consisting of two parallel mirrors separated by 20 µm (0.02 mm), the cell can generate green laser light.
The cell’s spherical shape acted as a lens, refocusing the light and therefore requiring less energy for lasing than was necessary in the cylinder experiment. Best of all, the cells survived the lasing process, and were able to produce hundreds of pulses of laser light.
A living laser could have a wide range of medical uses, according to lead author Malte Gather at the Wellman Center for Photomedicine at Mass. General. They could be used to activate drugs using light, for instance, or for new forms of imaging — it is difficult for visible and UV light to penetrate very far inside the body. Eventually, living lasers could enable optical communications and computing inside the body, using living systems instead of electronics.
It’s also a way to expand and enrich an existing story since there are often things left out of the original content that fans want to know more about.
Given the endless possibilities and directions that fanfiction writing can take, it’s no surprise that AI story generators have already had an enormous impact on this space.
Now that AI tools like ChatGPT are accessible to the general public, the limits for exploring new storylines, dialogues, and ideas are endless. Think of it as your personal, on-demand writer.
One of the great things about AI text generators is that they can help you develop ideas for your fanfiction that you might never have thought of on your own.
With an AI text generator, you can input a few pieces of information about your story (like the characters, setting, and plot) and then let the AI do its thing.
It will come up with all sorts of possibilities for you to choose from, and you can pick the one that you think is the best fit for your story.
With so many possibilities for where your story could go, it can be easy to veer off course and end up with something that doesn’t resemble the original work at all.
But using an AI text generator can keep your story on track and remain true to the source material.
AI Dungeon (AIDG or AID) is one of the first popular AI-based narrative games.
Source: NovelAI Homepage
NovelAI is a subscription service that is currently considered one of the best AI-assisted story applications.
Pricing ranges from $10 to $25 per month.
While it is the most expensive option, NovelAI has several strong reviews from both readers and authors of creative writing and fanfiction.
KoboldAI is free and considered to have one of the strongest AI models. The easiest way to get started is to download the offline installer from the GitHub page.
For fans of AI Dungeon, you can create a similar experience by enabling your own prompts in the settings.
You can then use an AIDG prompt from AIDG Club or /aids/ Prompts.
Character AI is a generative AI chat platform.
It is designed to provide a conversational experience rather than a writing interface.
The service offers several chat options for AI representations of fictional characters and real people.
It is currently in beta and free to sign up for.
Get started with some Character AI tips.
ChatGPT is a more user-friendly interface of OpenAI’s GPT model.
The chat format allows users to communicate with the AI model rather than submitting one-way prompts.
The benefit of using ChatGPT over something like the GPT Playground is that the platform better remembers prior details and prompts mentioned earlier in the chat dialogue box.
Related: ChatGPT vs. Playground
We recommend using ChatGPT in a more conversational style.
The platform can help brainstorm character ideas, craft dialogue, and explore plot possibilities.
There are many benefits to using AI for fanfiction writers.
Perhaps the most obvious is that it can help the creative process.
For example, if you’re having trouble coming up with ideas for your story, AI can help by generating ideas for characters and their world.
However, many writers would like to avoid relying too heavily on AI early in the creative process.
This is where an AI-generated writing prompt can be particularly valuable.
Below are some of the most popular types of prompts for fanfiction writing that an AI tool like ChatGPT or GPT-3 can help generate:
OTP prompts (One True Pairing) – a fandom term used to describe a relationship between two characters that are considered to be canonically perfect, or ideal in comparison to other possible relationships
OC prompts (Original Character) – a character created by the author, rather than a character from an existing work
Whump prompts – a plot device often used in fanfiction in which a character is injured, usually seriously. This can be used to create suspense, drama, or angst.
Alternative universe prompts (AU) – characters from a particular work are placed in a different setting or situation
Example of some AU writing prompts generated for Miraculous: Tales of Ladybug & Cat Noir. Please note that these could be drastically improved with a more specific description (and knowledge of the series).
The cool thing about generating writing prompts through GPT is that you can add additional context, or even a sample of your own writing, to tailor the prompt to your specific needs.
Of course, there are also some downsides to using AI for fanfiction.
One of the main criticisms is that AI can’t really understand the nuances of human behavior, so that it might make some strange recommendations or decisions.
Often there is a degree of tolerable randomness in an AI tool’s output.
In GPT, this is called temperature and can be adjusted to alter the “creativity” of outputted text.
A higher temperature will generate more unpredictable output text, while a lower temperature a more consistent and factual output.
AI is also limited by the data it has to work with.
So, if you’re using AI to help with your fanfiction, it’s important to make sure that you’re feeding it good data.
In the case of fiction writing, it is helpful to include lots of context, including your own prior writing, to get an output that aligns with your vision for the piece.
Another concern is that writers can become too reliant on AI during the creative process. It is tempting to keep hitting the generate button on your favorite AI tool.
Beginner writers would benefit from using AI for generating writing prompts for practice rather than entire blocks of text.
A more seasoned fiction writer will have already developed their tone and style, so AI is more supplemental to the creative process.
However, writing is a skill that must be constantly processed, so there is always a risk that overreliance on AI will lead to subpar and unimaginative writing.
The overall consensus is mixed on this topic.
On the one hand, AI opens up unlimited possibilities for new storylines, exploration, and experimentation.
On the other hand, some readers are concerned that the writing will lose a sense of human touch.
Fanfic writers that expressed opposition to the idea felt that generative AI took away from the sense of pride and ownership of their work.
“I’d use it for one difficult scene that is taking me ages to write, but not a whole fanfic. Defeats the purpose of having it as a hobby.”
“Used properly, I’ve seen GPT-3 create work that far surpasses a lot of the writing in the traditional publishing market. But it takes patience and skill to understand how to engineer prompts that will give you good results… I created a preset for GPT-3 that has it acting as a chatbot, but with the personality of my OTC. Since GPT has access to everything available on the internet, it managed it brilliantly. This bot knows everything my OTC knows, and speaks exactly like him. This could be a huge benefit for fanfic, especially for people who struggle with dialogue. But there are character limits in the playground, so it gets to be a patchwork after about 1k.”
“If I just gave an AI a prompt and it spilled the fic out I wouldn’t feel it was mine or be proud of it or feel like I had accomplished anything.”
“As infuriating and frustrating as writing can be sometimes, it’s my writing, and I get to look back at all the things beautiful things I’ve written. A computer will never have the same style in writing as me”
Overall, there are mixed opinions regarding using AI for fanfiction.
However, apps like Character AI are starting to provide unique platforms for writers to explore their creativity in new ways.
This sequence of images shows the development of embryos after co-injection of a gene-correcting enzyme and sperm from a donor with a genetic mutation known to cause hypertrophic cardiomyopathy. A new study, published today in the journal Nature, demonstrates an effective method of repairing a disease-causing mutation from the moment of fertilization, preventing it from being passed to future generations. (OHSU). (OHSU)
In a paper out today in the journal Nature, researchers successfully used the new gene editing technique colloquially known as CRISPR to correct a defective gene that causes a specific type of heart disease. The researchers performed the experiment on viable human embryos, a first for the United States. Last week, MIT Technology Review first reported the news but the exact mechanisms were still unclear and the type of gene the scientists corrected was unknown. From a broader perspective, the experiment showed that CRISPR could be used to correct genetic errors that lead to disease and researchers say it represents an important step toward using this in human embryos intended for pregnancy.
Though this use of the technique is a first for the United States, researchers in China have already attempted this, according to previous reports. Researchers around the world, including the United States, have used CRISPR to edit the genomes of somatic cells, which only affect the individual person. Editing germ line cells, which is what the researchers did here and what Chinese researchers have already done, is much different. If their germ line cells are edited, those changes will be passed down to every generation that follows.
Researchers are extremely wary of this. The technique could be a safe and potentially extremely effective way of avoiding many terrible genetic diseases. But since the approach is new, it’s not yet clear what effect this will have on people throughout their lives. And it wouldn’t just be affecting them, but every generation that follows. Depending on how it’s used, the technology also has the potential for “designer babies”, tweaking the DNA not to prevent disease but to control other genetically determined factors like eye color, height, or potentially athletic ability and intelligence. That’s why the United States has implemented strong guidelines regarding this technique. In February, a committee formed by the National Academies of Sciences, Engineering, and Medicine, endorsed the use of CRISPR on embryos, but only for dangerous genetic diseases where there aren’t any other successful treatments out there.
In this specific study, researchers used CRISPR to edit out a mutant (disease-carrying) copy of the MYBPC3 gene, a gene that encodes a protein that helps create well structured and maintained heart muscles. Mutations in that gene cause hypertrophic cardiomyopathy (HCM), which can lead to sudden cardiac arrest in young and healthy athletes. The disease occurs in about 1 in 500 people.
In the experiment, the father had the mutant gene and the mother had a normal version. The researchers used CRISPR, which essentially cuts and replaces faulty DNA, to fix the mutant version. Then, when they fertilized the egg in a petri dish, they simultaneously introduced the genome editing parts. 75 percent of the resulting embryos showed no signs of the mutant genome (if the eggs were fertilized without CRISPR, the chances of the mutation being present would be 50 percent).
The researchers see these results as an initial success. They also overcame two major hurdles in CRISPR research thus far: the potential for mosaicism (where only some of the cells get edited and the rest don’t, resulting in some regular and some mutant cells) and off-target effects (CRISPR edits genes that look like the mutant genes, but in fact are not). Only one fertilized egg out of 58 showed signs of mosaicism and the researched did not detect any off-target effects. These are promising signs given that both conditions were major limiting factors in the safety and efficacy of the technique.
The following is a detailed list of the 10 essential human abilities that cannot be replaced by AI
Many people are worried about how the rise of artificial intelligence will affect the workforce. Numerous manual tasks are being done by automation as machines become increasingly intelligent and sophisticated.
However, there are human abilities that cannot be replaced by AI. These abilities are necessary for many different occupations and are based on human sensitivity, creativity, and emotional intelligence.10 human abilities that cannot be replaced by AI that are expected to render obsolete in the future are listed here. 1. Creativity:
Creativity is one of the most important skills that will not AI replacement. AI is very good at analyzing data and coming up with solutions based on that data; however, it is not very good at coming up with truly novel ideas. People are as yet awesome at concocting savvy fixes to complex issues.2. Thinking critically:
Critical thinking is another skill that artificial intelligence will not replace. Despite their superior data analysis capabilities, machines lack the critical thinking skills of humans. The capacity to analyze data and make well-informed decisions based on that data is critical thinking. It is a skill that is necessary for many different fields, including medicine, law, and business.3. The capacity to understand individuals on a deeper level:
The ability to understand people on a profound level is one more expertise that will not be supplanted by computerized reasoning. Emotional intelligence is the ability to understand and control one’s own emotions as well as those of others.
When it comes to dealing with the emotions of other people, machines lack the empathy and feeling that humans possess.4. Leadership:
The initiative is an expertise that requires a blend of knowledge, inventiveness, and the capacity to understand individuals on a deeper level. While machines are adept at performing routine tasks, they cannot motivate others and direct them toward a common objective. In many different fields, including politics, business, and education, leadership is essential.5. Adaptability:
Another skill that will not be replaced by artificial intelligence is adaptability. While machines excel at specific tasks, they are unable to adapt to novel circumstances and challenges in the same way that humans can. In a world where new ideas and technologies are constantly emerging, adaptability is essential.6. Skills for communication:
Another skill that will not be replaced by artificial intelligence is the ability to communicate effectively. While machines are excellent at transmitting and analyzing data, they are unable to communicate ideas and information in the same way that humans can.
Journalism, public relations, and marketing are just a few of the many professions in which effective communication is essential.7. Complex Critical thinking:
Another skill that will not be replaced by artificial intelligence is the ability to solve complex problems. While machines are excellent at analyzing data and formulating solutions based on that analysis, they are unable to think outside the box like humans can.
In many different fields, such as engineering, science, and architecture, complex problem-solving is essential.8. Communication Skills:
Another set of skills that will not be replaced by artificial intelligence is interpersonal skills. Empathy, active listening, and conflict resolution are all examples of interpersonal skills. These skills also include the capacity to connect with others and build relationships.
Counseling, social work, and human resources are just a few of the many fields in which these abilities are required.9. Making judgments and decisions:
Another set of skills that will not be replaced by artificial intelligence is judgment and decision-making. While machines can analyze data and come up with solutions, they are unable to make effective, well-informed decisions. Law, medicine, and business, among others, all require judgment and decision-making skills.10. Originality:
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