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Artificial Intelligence Technology is Rapidly Advancing

We are all aware that artificial intelligence technology is rapidly advancing. Think back to late 2022; most of us weren't aware back then of how much AI was already in use. Fast forward to today (mid-2023 as of this post), and AI technology is practically coming out of the woodwork!

At least 25% of emails that land in my inbox are about self-driving cars, machine learning, and an AI system that's sure to change my life. I've succumbed to a few offers already.

Financial institutions and large corporations have used AI for years now in their Chatbots, which, for many people, have been a godsend in getting an answer to a problem faster than waiting for a human to give us the same (or maybe incorrect?) answer.

(See more on Chatbots here.)

AI Technology and Speech Recognition

Some of the AI technology we're used to is speech recognition - how handy it is to speak instead of typing texts on our cellphones? We all know that spawned an industry of funny "grammar-correcting texts gone wrong."

Natural language processing has come a long way since then. Their deep learning models are growing at the speed of light (or so it seems) and specific (boring) tasks are now being performed for us in real-time on artificial neural networks.

The AI algorithms are enough to make your head spin (not that I'm privy to that kind of information or large amounts of data!).

Yep: Artificial Intelligence Technology is Rapidly Advancing

This brings up the worry about artificial general intelligence being able to "think" for itself and make decisions (on our behalf) that could (potentially) harm humanity. Emphasis on 'could.'

It baffles me that OpenAI and Sam Altman would first create this 'monster,' and then go on TV saying we need to 'slow it down.' I understand the fear surrounding 'robots taking over,' but it takes a human to program a robot... or does it?

Will the human brain's capacity to think be surpassed by a robot brain that also will be able to think like a human? 

The Turing Test

The Turing Test was developed by Alan Turing in 1950 and is a test used to determine if a machine has true intelligence. It's based on whether a human can tell if he or she is communicating with an AI system or another person.

If the conversation feels natural, as though it were between two humans, then the AI passes the test. Just look at the 'dating' app out recently. Lonely guys (or gals!) can chat and have a 'relationship' with a female robot.

At least I think she's female. The perky breasts tend to give 'her gender' away. Is this one of the fears about humanity? You can't procreate with a robot. Birth rates have declined but we can't blame that statistic (yet) on dating robots. 

The data scientists who are creating and watching the applications of AI unfold use a vast amount of data to predict its effect on the human population. What are the ethical implications? We can learn to optimize our interactions by predicting what might happen in various scenarios.

AI technologies, when employed correctly, may help us be more efficient and effective in our decisions. However, if we do not consider the social, economic, and cultural implications of AI use, then we run into a range of potential risks mentioned above. 

Can Human Intervention Prevent Nefarious Use of AI?

After I typed that headline, I realized that humans are to blame for nefarious uses of stuff in general. I just wish that humans would only use AI for good reasons, and not bad. I know I'm naive in thinking that.

But what if safeguards are put in place to prevent nefarious uses of AI? To check out that point, just the other day I asked ChatGPT4 to tell me about "me". It responded with "I'm sorry, I cannot provide information on "you" because of privacy reasons." (Words to that effect.)

To say I was pleased to read that was an understatement. Why? Seeing as AI has read the 'net, and there's more than one of "me" using my name in this world, what if AI mixes me up with a serial killer, drug-using pedophile who has been previously convicted?

And then that new data about me is added to the silo and regurgitated incorrectly ad nauseum? (Not that I think I'm important enough to be looked up on a massive scale!)

Deep Learning Techniques at Dartmouth College

Deep learning is a branch of artificial intelligence focused on enabling machines to learn from data in an iterative fashion, making use of powerful neural networks.

It has become increasingly popular over the last decade as computer systems have been able to handle larger datasets and more complex tasks than before.

Dartmouth College has been at the forefront of deep learning research for many years, with researchers conducting studies on how to use the technology in various applications.

Examples include using deep learning to detect objects or identify patterns in images, as well as text analysis and natural language processing (NLP). We've seen how our phones can detect the shape of a face in an image, for instance.

AI mole screening depiction

Researchers at Dartmouth are also exploring ways to apply deep learning to medical diagnostics and autonomous robots.

If you're a fan of "The Five" and Greg Gutfeld in particular, you'll no doubt recall Greg talking about how the medical industry could be aided by AI. How?

As an example, he mentions sending a picture of a mole to have AI tell you what it is, and what remedy you should seek. Then you'd visit the doctor to have it removed if necessary.

I guess the 'speed' of detection and diagnosis would be a highly redeeming factor in using AI for medical diagnoses.

Digital images of cancerous moles would be pitted against non-cancerous moles and a determination would be made. Yes, of course, AI could get it wrong, but so can doctors; ever heard of getting a second opinion?

Dartmouth: Well Positioned to Use this Technology

Back to Dartmouth: The college is well-positioned to make use of this technology to create new applications and revolutionize existing ones.

With experienced faculty, cutting-edge research opportunities, and access to state-of-the-art equipment, Dartmouth College is a place for students interested in 'deep learning' education.

By taking part in a deep learning program at Dartmouth College, students can gain the necessary knowledge and skills to succeed in careers.

Whether they are interested in working on self-driving cars or developing new applications using machine learning, a deep learning education at Dartmouth College can be invaluable for students looking to make a real difference. 

Artificial Narrow Intelligence (ANI)

Artificial narrow intelligence (ANI), also known as weak AI, is an artificial intelligence system that focuses on a single specific task.

Unlike general Artificial Intelligence (AGI) or strong AI, ANI can only handle one type of problem at a time and does not possess any ability to think more abstractly. Examples of tasks tackled by ANI include facial recognition, language translation, and medical diagnosis, all of which I've mentioned.

Generally speaking, ANI is less effective than AGI in solving complex problems, but its simplicity and specialization make it highly efficient in carrying out specific tasks. For these reasons, many AI-powered applications rely on ANI to provide users with a more personalized experience. 

As Artificial Intelligence Technology is Rapidly Advancing, Can AI Help with Economic Security... and Homework Assignments?

As artificial intelligence technology is rapidly advancing we wonder if AI can indeed help with economic security! In fact, ANI (Artificial Narrow Intelligence) has already been implemented in many different applications to assist users with their finances.

ANI enables financial services and products such as budgeting tools, automated savings accounts, and investment apps to offer personalized advice.

AI helps kids with homework (depiction)

ANI can also provide students with personalized assistance for their homework assignments. It can analyze past tests, assignments, and grades to identify areas of improvement and provide tailored guidance.

For example, AI-powered tutoring apps can use natural language processing (NLP) to figure out what topics the student is struggling with, and then recommend resources or activities that will help them improve in those areas.

ANI can even take things a step further by providing students with personalized study plans and alerting them when their performance in certain subjects is lagging.

Thanks to ANI, users have access to smarter financial products and more efficient academic assistance that make managing money and getting good grades a breeze!  Having said that, will that take away the need for human teachers?

ANI is also being used across various industries for online shopping and to improve customer service. As mentioned earlier, Chatbots powered by ANI can respond to customer queries quickly and accurately, making it easier for companies to provide a better customer experience.

Additionally, AI-powered systems can be used for inventory tracking, fraud detection, market analytics, and predictive maintenance of industrial equipment – allowing businesses to gain a competitive advantage.

Overall, ANI is revolutionizing how we interact with technology and providing us with unprecedented opportunities to improve our lives. It’s no wonder that AI has become a rapidly growing field – and one that promises to continue making waves in the future.

With the responsible use of AI and continued advancements in this space, there is no doubt that artificial intelligence technology is rapidly advancing, and AI will continue to make life easier and offer solutions that can improve productivity, efficiency, safety, and quality of life.

The possibilities are endless – and with the right implementation, ANI will have a profound impact on our lives. 

Thanks for stopping by to read 'Artificial intelligence technology is rapidly advancing' and I hope you learned a lot!

The author, Susan Gast, researched this topic by either using Bard by Google, Claude 2 by Anthropic, along with Tai by Solo-Build-It! which accesses GPT-4 by OpenAI. The author then wrote this entire article - optimizing its content and value for you the reader - inside of Tai. As such, she takes ultimate responsibility for the content of this publication. Midjourney (and occasionally Leonardo) also helped her bring back stunning AI images for you to feast your eyes on. Also, utilizing AI as an assistant means Susan can write better, more interesting articles - just for you - on a regular basis.

Susan Gast created ePubTechReviews.com to provide insight and inspiration (and product reviews!) to indie publishers and video creators. Having been in this industry since 1980 in one form or another, Susan has lots of wisdom to impart from her own trials and tribulations over the decades.

She is featured in the Mother Earth News blog, and on Solo Build It! (SBI!) who hosts this site. Read her first SBI! interview and her second SBI! interview. Susan runs an additional SBI! website: Easy Food Dehydrating. She also runs her namesake site SusanGast.com on Solo Build It! which showcases the books she has written since 2012.

Want to send Susan a quick message? Visit her contact page here. She'd love to hear from you!