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common myths
for Advanced
AI:A captivating conversation is taking place about the future of artificial intelligence and what it will/should mean for humanity. There are fascinating controversies where the world’s leading experts disagree, such as AI’s future impact on the job market; if/when human-level AI will be developed; whether this will lead to an intelligence explosion; and whether this is something we should welcome or fear. But there are also many examples of boring pseudo-controversies caused by people misunderstanding and talking past each other. 

TIMELINE MYTHS



The first myth regards the timeline: how long will it take until machines greatly supersede human-level intelligence? A common misconception is that we know the answer with great certainty.
One popular myth is that we know we’ll get superhuman AI this century. In fact, history is full of technological over-hyping. Where are those fusion power plants and flying cars we were promised we’d have by now? AI has also been repeatedly over-hyped in the past, even by some of the founders of the field. For example, John McCarthy (who coined the term “artificial intelligence”), Marvin Minsky, Nathaniel Rochester, and Claude Shannon wrote this overly optimistic forecast about what could be accomplished during two months with stone-age computers: “We propose that a 2 month, 10 man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College […] An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer.”

CONTROVERSY MYTHS



Another common misconception is that the only people harboring concerns about AI and advocating AI safety research are Luddites who don’t know much about AI. When Stuart Russell, author of the standard AI textbook, mentioned this during his Puerto Rico talk, the audience laughed loudly. A related misconception is that supporting AI safety research is hugely controversial. In fact, to support a modest investment in AI safety research, people don’t need to be convinced that risks are high, merely non-negligible — just as a modest investment in home insurance is justified by a non-negligible probability of the home burning down.

Generative AI starts with a prompt that could be in the form of a text, an image, a video, a design, musical notes, or any input that the AI system can process. Various AI algorithms then return new content in response to the prompt. Content can include essays, solutions to problems, or realistic fakes created from pictures or audio of a person.
Early versions of generative AI required submitting data via an API or an otherwise complicated process. Developers had to familiarize themselves with special tools and write applications using languages such as Python.
Now, pioneers in generative AI are developing better user experiences that let you describe a request in plain language. After an initial response, you can also customize the results with feedback about the style, tone and other elements you want the generated content to reflect.

1. Consider how AI technology might compel you to revise your course assignments, quizzes, and tests to avoid encouraging unethical or dishonest use of generative AI.  2. Develop and integrate a generative AI policy throughout the course resources:  



Provide clear definitions, expectations, and repercussions of what will happen if students violate the policy.  
Explain the standards of academic integrity in the course, especially as related to use of AI technologies, and review the Integrity of Scholarship and Grades Policy.  






Be clear about what types of AI are acceptable and what versions of the technology students can use or not use.  
Put this policy into D2L and any assignment instructions consistently.  



3. Discuss these expectations when talking about course policies at the beginning of the course and remind students about them as you discuss course assignments:  



Take time to explain to students the pros and cons of generative AI technologies relative to your course. 
Explain the development of your policy and make clear the values, ethics, and philosophies underpinning its development.  






Explain the repercussions of not following the course policy and submit an Academic Dishonesty Report if needed.  



4. If you want to integrate AI in the classroom as an allowed or required resource:  



Consult with MSU IT guidance about recommendations for use and adoption of generative AI technology, including guidelines for keeping you and your data safe.  
Determine if MSU already has access to the tools you desire for free, and if not available through MSU, consider the cost and availability of the resources you will allow or require, and go through MSU's procurement process.   
If you want to require students to use an AI technology that comes with a cost, put the resource into the scheduling system as you would a textbook, so students know that is an anticipated cost to them.  

An AI that can produce photorealistic videos of sign language interpreters from speech could improve accessibility by removing the need for humans.
Ben Saunders at the University of Surrey, UK, and his colleagues used a neural network that converts spoken language into sign language. The system, called SignGAN, then maps these signs on to a 3D model of the human skeleton.
The team also trained the AI on videos of real sign language interpreters, teaching it how to create a photorealistic video of anyone signing based off an image of …
Read more: https://www.newscientist.com/article/2261113-ai-can-turn-spoken-language-into-photorealistic-sign-language-videos/#ixzz6g1KMybts

 Hemoglobin is an iron-rich protein in red blood cells (RBCs).   The normal hemoglobin range for men is 13.5 to 17.5 gm/dL and 12 to 15.5 gm/dL for women. It is of utmost importance to maintain hemoglobin concentration.  
What you need to know:

What functions does hemoglobin perform in our bodies?
What causes low hemoglobin? 
Symptoms of low hemoglobin 
What are the foods that can increase hemoglobin level? 
Tips to increase your hemoglobin levels

What functions does hemoglobin perform in our bodies? 
Hemoglobin is vital for carrying oxygen from the lungs to tissues and organs. It also transports carbon dioxide from the tissues back to the lungs.
What causes low hemoglobin?

Some common causes of low hemoglobin are:

Substantial blood loss
Deficiency in iron, vitamin B, and folate
Kidney disease
Hypothyroidism
Thalassemia
Lung diseases
Excessive smoking

Any type of blood loss can cause anemia, including blood loss from surgery, heavy menstrual periods, and bleeding in the gastrointestinal tract. 
Symptoms of low hemoglobin
You can detect extremely low hemoglobin levels in your system in a few ways. They include

A fast or irregular heartbeat
Fatigue
Frequent or unexplained bruising
Shortness of breath
Liver and kidney disease
Pale skin and gums
Muscle weakness
Reoccurring headaches
Dizziness
Poor appetite
Anemia in severe cases

Elevated hemoglobin levels are associated with dehydration, heart failure, and chronic lung disease. In some conditions, the bone marrow may not produce enough RBCs, leading to cancers like leukemia, lymphoma, or tumors that spread from other parts of the body into the bone marrow.
What are the foods that can improve your hemoglobin levels?

It is essential to boost your food intake to raise your hemoglobin levels. Here are some foods to increase hemoglobin levels:

Iron-rich foods: Consume iron-rich foods like fish, meat, eggs, soy products, broccoli, green leafy vegetables that include spinach, fenugreek leaves, cauliflower, green peas, cabbage, green beans, nuts and seeds, and peanut butter, to increase your hemoglobin levels.
Vitamin A: It is pertinent to consume vitamin A foods to increase hemoglobin as they absorb more iron. Vitamin A and beta-carotene can help you there. Vitamin A is found in animal food sources, such as fish and liver. Beta-carotene is found in red, yellow, and orange fruits and vegetables.
Folate: Folate is a type of Vitamin B that plays an essential part in hemoglobin production. A shortage of folate can prevent the red blood cells from maturing, leading to anemia. Some good sources of folate include beef, rice, black-eyed peas, kidney beans, lettuce, and peanuts.
Foods rich in vitamin C: A combination of iron and vitamin C can prove to be beneficial. The latter is used for better absorption of iron. Foods rich in vitamin C include oranges, lemon, strawberries, papaya, bell peppers, broccoli, and tomatoes.
Fruits: It is also perfect to have fruits like beetroot, apple, watermelon, papaya, oranges, litchis, kiwis, strawberries, grapefruit, banana, and peach, which can boost hemoglobin levels. Plus, dry fruits, like dates, can increase the number of erythrocytes, thereby increasing hemoglobin levels. They contain iron, vitamin C, vitamin B complex, and folic acid, which helps in the formation of red blood cells. Raisins are also a rich source of iron and copper necessary to form red blood cells.

Avoid iron blockers: Foods that block your body’s ability to absorb iron, such as coffee, tea, alcohol, and aerated drinks, should be avoided.
Tips to increase your hemoglobin levels
Here are some tips to keep in mind to increase your hemoglobin levels:
Switch to brown rice: As a superfood, brown rice can help prevent various diseases related to cholesterol and the gastrointestinal system. It is rich in iron, containing 0.52 milligrams of iron for every 100 grams.
Enjoy dark chocolate: With over 80% of cocoa, dark chocolate naturally improves hemoglobin levels. Plus, it is loaded with minerals, nutrients and antioxidants.
Drink nettle tea: The spice nettle has also proven to be a good source of iron and vitamin B and C. They can also play a part in increasing hemoglobin levels.
 Exercise: Take up moderate to high-intensity exercise to help your body produce more hemoglobin to meet the oxygen demands of your body. 
Stay tuned to the Activ Living Community. Keep up to date with the latest health tips and trends through expert videos, podcasts, articles, and much more in nutrition, fitness, mindfulness, and lifestyle conditions like Asthma, Blood Pressure, Cholesterol, and Diabetes.
 You may also be interested in the following blogs: 

10 Vegetarian Foods That Are Rich In Iron
Want to Add Iron Rich Foods to Add in Your Diet? Check Out These Iron Rich Foods. 

When project managing a distributed team in a variety of locations, a collaboration software (or project management) tool is an effective way to keep everyone on the same page and all of your project information in one place. However, using a great tool doesn’t magically make collaboration happen. Here are 10 best practices when using a collaboration software tool:

Share proactively - Assign team members to the tasks they need to be aware of and @mention them in the comments, so they receive alerts when the ball is in their court.
Put every project into your collaboration project management tool - Use your tool as a single source of all project-related materials and notes. This will make the material easy to find for everyone, no matter when they joined the project.
Create water cooler channels - Creating channels in your communication tools where team members can discuss non-work related topics allows them to get to know each other and be social even from afar.
Celebrate small wins - Collaboration tools are a great place to share victories, no matter how big or small. Even a short message can go a long way.
Balance the load - You can’t collaborate well if you’re overloaded with work. Use your tool’s visibility and resource management features to ensure project tasks are balanced among your team members.

Categories of AI
Artificial intelligence:
can be divided into two different categories: weak and strong. Weak artificial intelligence embodies a system designed to carry out one particular job. Weak AI systems include video games such as the chess example from above and personal assistants such as Amazon's Alexa and Apple's Siri. You ask the assistant a question, it answers it for you.
 
Strong artificial intelligence systems are systems that carry on the tasks considered to be human-like. These tend to be more complex and complicated systems. They are programmed to handle situations in which they may be required to problem solve without having a person intervene. These kinds of systems can be found in applications like self-driving cars or in hospital operating rooms.
 
 

In the intersection of space travel and robotics, Jihee Kim introduces Laika — a concept design for a life-like, AI robot pet that can interact with humans. Laika has been designed for upcoming space projects such as NASA’s Artemis and Moon to Mars missions set for 2025-2030, envisioned as the ultimate companion for space explorers as it caters to both their physical and emotional well-being while they are away from home. Unlike the aggressive robotic dogs currently available on the market, Jihee Kim has designed Laika with a friendly and organic finish that enables it to connect to its human counterpart on an emotional level when in use while monitoring their health conditions and assisting them in emergencies. Beyond space missions, this approachable design allows Laika to integrate into domestic contexts.
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URL : https://www.designboom.com/technology/life-like-ai-robot-dog-laika-space-travelers-jihee-kim-11-19-2023/