• AIdeations
  • Posts
  • Transforming Industries Through AI: Cars, Healthcare, Fitness, and Sports Mascots

Transforming Industries Through AI: Cars, Healthcare, Fitness, and Sports Mascots

From Chatbots to Personal Trainers: Unpacking AI's Potential Across Multiple Sectors

Welcome to Aideations. The most comprehensive daily AI newsletter on the planet! How do I know? Because I read over 50 of them, plus the news, so you don’t have to. It’s my goal to make this the most-read newsletter on AI. I can’t do that without your support and feedback.

TL;DR  In today's newsletter, we uncover some extraordinary implementations of AI across different industries. First, we take a joyride with ChatGPT, now installed in Mercedes-Benz vehicles, enhancing the in-car AI experience. We then shift gears into healthcare, where ChatGPT demonstrates impressive diagnostic capabilities. Moving into the fitness realm, we weigh the benefits of AI trainers against their human counterparts. In a surprising turn, Mississippi State deploys AI to create amusing versions of rival mascots, scoring big in engagement. Plus, we want to hear from you about your preferred newsletter format. We also update you on major tech news, share an intriguing AI research paper, and introduce some fantastic AI tools to help you drive your projects forward.


If you've got suggestions on how I can improve the newsletter, feel free to reach out at [email protected]

Here's what we've got in store for you today:

🚗 ChatGPT Is Now Riding Shotgun

đŸ©ș ChatGPT As Your Doctor? 

đŸ‹ïž AI Vs. Personal Trainers

đŸ¶ MS State Generates Virality With Generative AI

📚 Research Of The Day

đŸŽ„ Video Of The Day

🛠 Tools Of The Day

đŸ€Œ Prompt Of The Day

đŸ„ Tweet Of The Day

ChatGPT Rides Shotgun in Mercedes: The Future of In-Car AI

A perfect sketch of a murdered out Mercedes Benz G Wagon made by a professional sketcher adorned with details and perfectionism --ar 16:9 --s 250 --v 5.1

If you've ever yelled at your car's voice assistant because it just couldn't understand "play some Taylor Swift," well, you're in luck. Mercedes-Benz and Microsoft have teamed up to add OpenAI's ChatGPT to more than 900,000 fancy-pants vehicles in the U.S.

This technology is an upgrade to the “Hey Mercedes” voice assistant, and it promises to take your in-car AI experience to a whole new level. It's like having your own personal JARVIS...if JARVIS was used to play pop songs and guide you to the nearest Starbucks instead of helping Tony Stark save the world.

Remember when voice assistants used to only respond to certain commands and questions? Yeah, those days are over. ChatGPT is no ordinary language model. It has the capacity to understand natural language and can respond to a broader range of topics. It's like going from chatting with a 5-year-old to having a convo with an adult.

Mercedes is offering an optional beta program for U.S. customers starting Friday. Customers can join via the Mercedes me app or straight from the car with the command, “Hey Mercedes, I want to join the beta program.” It’s like Fight Club but for AI car tech...and, well, you're allowed to talk about it.

Here’s the exciting bit - while other auto giants, including GM, claim their autonomous vehicles already use some kind of AI, this Mercedes-Microsoft partnership is one of the first to specify the use of ChatGPT. It's like being the first kid on the block with a brand-new toy.

Eric Boyd, corporate VP of Microsoft’s AI platform, promises that the new integration will up the ante on voice commands, interaction, task capabilities, and even allow follow-up questions. Imagine asking your car complex questions and getting intelligent answers back. It's like having a conversation with Sherlock Holmes, minus the condescending tone.

If the three-month beta program goes well, Mercedes might push for further integration of the tech. We’re waiting to see if this turns out to be a game-changer. So, buckle up and get ready to talk to your car like never before. Just make sure to keep your eyes on the road while you’re at it.

Chatbot Proves Its Mettle in Medical Diagnostics

Capture a high-tech medical lab where a chatbot is being used for diagnostics. The scene should be filled with advanced medical equipment, including a large screen displaying the chatbot interface. The chatbot should be represented as a friendly, approachable avatar on the screen. The lab should be lit with cool, clinical lighting, highlighting the sterility and precision of the environment. The colors should be a mix of whites, blues, and metallic grays, with the chatbot screen providing a splash of vibrant color. Use a Canon EOS 5D Mark IV DSLR camera with an EF 50mm f/1.8 STM lens for this shot. The resolution should be 30.4 megapixels, with an ISO sensitivity of 32,000 and a shutter speed of 8000 second. The image should be hyper-realistic, highly detailed, and high-resolution 16k. --ar 16:9 --v 5.1 --style raw --q 2 --s 750

Chatbots are becoming more than just a customer service gimmick. Physician-researchers at Beth Israel Deaconess Medical Center (BIDMC) recently tested the capabilities of Chat-GPT 4, a generative AI chatbot, in making accurate diagnoses of complex medical cases. The results? Noteworthy, with the AI correctly identifying the top diagnosis nearly 40% of the time and including the correct diagnosis within a potential list in 64% of the trickier cases.

To gauge the AI's diagnostic proficiency, the team had it take on 70 complex patient cases. Chat-GPT 4 showed serious mettle, matching the final diagnosis in 39% of cases and presenting a potential list of conditions in 64% of cases.

Despite this promising performance, our AI chatbot isn't quite ready for a medical residency. Generative AI shows a lot of potential as a supplementary tool for doctors, especially when tackling complex medical data. But it's crucial to understand that more research is needed to flesh out the benefits, limitations, and optimal uses of this tech in clinical settings. Plus, we can't ignore the elephant in the room—privacy issues.

We're not on the cusp of an AI-run healthcare industry, but we're getting a taste of what the future might hold. Generative AI chatbots like ChatGPT could transform healthcare delivery, helping doctors decipher complex medical data and refine their diagnostic thinking. So, it's not quite time to trade in your family doctor for an AI, but this study offers an intriguing peek into the potential intersection of tech and healthcare.

Sweating It Out: AI vs. Human Personal Trainers

Capture a dynamic scene in a modern gym where a human personal trainer and an AI personal trainer are coaching their respective clients. The human trainer should be physically engaged, demonstrating an exercise, while the AI trainer is represented by a large screen displaying a 3D avatar demonstrating the same exercise. The gym should be brightly lit, emphasizing the energy and activity in the space. The colors should be vibrant, with the high-tech screen of the AI trainer standing out. Use a Canon EOS-1D X Mark III DSLR with an EF 24-70mm f/2.8L II USM lens for this shot. The resolution should be 20.1 megapixels, with an ISO sensitivity of 102,400 and a shutter speed of 1/8000 second. The image should be hyper-realistic, highly detailed, and high-resolution 16k. --ar 16:9 --v 5.1 --style raw --q 2 --s 750

Alright, let's flex into the fitness world of tomorrow, where AI trainers are sweating to get us into shape. We're piggybacking on a recent deep dive by CNET's Imad Khan into FitnessAI, an app that whips up customized workouts based on your personal details. However, not everything in this digital gym is as rosy as your post-workout glow.

When stacked against Future, an app that matches you with a human personal trainer, FitnessAI can seem a bit robotic. Let's face it, humans are programmed to thrive on validation and to push ourselves to meet expectations. FitnessAI is data-driven, but it lacks the human touch, and while it's hitting the treadmill to better understand your workout needs, it’s not quite there yet.

Don't wave the white towel on our digital counterparts yet. FitnessAI and its AI gym buddies, like Fitbod and Freeletics, are gaining traction. Heck, the digital fitness industry is even projected to flex its way to $26.5 billion by 2026. FitnessAI is also stepping up its game, with plans to integrate a chatbot for a more interactive workout experience.

Here's where the rubber meets the road: the price tag. Future, with its personal touch, takes a heavier toll on your bank account at $199 a month, as compared to FitnessAI’s $15. Ultimately, the choice between AI and a human trainer might boil down to your personal preference for feedback and your budget. But hey, as long as we're breaking a sweat and not the bank, right?

Mississippi State Scores Touchdown with AI-Generated Mascots

As a Mississippi State fan, I was thrilled when the school unexpectedly popped up on my AI radar. Their digital team pulled out all the stops when the SEC released its 2024 conference opponents, employing artificial intelligence to generate quirky versions of the eight opponent mascots. These hilariously bizarre, bipedal creatures, boasting features like a big orange head for Tennessee and a Florida Gator in jorts, quickly set social media ablaze, providing fans with ample material for future memes.

The brains behind the operation, Mississippi State's director of creative design and senior director of creative video, explained how they kept the humor inclusive and ensured everyone was in on the joke. This ingenious use of AI to ramp up school spirit, while also sparking a good laugh, has me applauding not only the football team but the digital creatives as well. The success of this campaign proves that sometimes, the more unconventional the strategy, the more impactful the result can be.

 đŸ“° News From The Front Lines: 📰

Larry Ellison is now the 3rd richest man in the world thanks to AI. (link)

Microsoft Stock hits record high. (link) Remember when I gave those stock suggestions?? If you picked up any of those your portfolio should look good right about now.

Google doesn’t trust chatbots, including their own. (link)

Meta AI Cheif says current AI is no smarter than a dog. (link)

The AI behind the latest Apple products, even though they mentioned the word zero times at WWDC (link)

Hear the story of workers already replaced by AI. Will you be next? (link)

US & China are actually discussing the dangers of AI together. This is good news (link)

Understanding AI has been made easier thanks to a new tool that reveals how decisions are made (link)

Meta continues to impress: announces future models will be open source and available commercially. Will this force Google & Open AI to do the same? (link)

Machine learning unlocks anti-aging breakthrough: Three promising compounds discovered (link)

AI startup with no product receives $113 million in funding!? It just makes little to no sense to me. I just need to hold $5 million. (link)

I know the treehuggers out there have long waited for this day, but thanks to new AI tech, we can now talk to trees. Yes, you read that right. (link)

Oracle announces new generative AI products for business and partners with Cohere (link)

📚 RESEARCH 📚

Title: Implementing Novel Strategies in Healthcare: Personalized Predictive Analysis via CaML

Authors: Nicholas P Tatonetti, Patrick P Ye, Roxana Daneshjou, Russ B Altman

Summary: The featured research presents a novel approach, Causal Meta-Learning (CaML), aimed at forecasting the individual impact of newly conceived treatments. CaML operates as a multifaceted model that garners insights from varied tasks, hence enabling the generation of personalized forecasts. This tool is instrumental for medical practitioners and researchers as it helps ascertain the varying impact of diverse treatments on individuals.

Advantages:

  • The capability of CaML to forecast the impact of novel treatments without the need for prior treatment data.

  • The utilization of a multi-task learning model by CaML enhances efficiency and versatility.

  • Personalized forecasts assist physicians in devising more accurate treatment plans for patients.

Disadvantages:

  • The assumption that treatment effects remain consistent across varied tasks forms the basis of CaML, which may not always be the case.

  • CaML's efficacy may be limited when treatments exhibit starkly different impacts on diverse individuals.

  • The quality and diversity of training data directly affect the precision of CaML's predictions.

Constraints:

  • CaML operates on the assumption that treatment effects remain independent of other variables, which may not always be accurate.

  • Successful model training necessitates substantial data.

  • For unique or infrequent treatments with scarce data, CaML's predictions may lack accuracy.

Potential Applications and Cases:

  • The integration of CaML in healthcare can lead to more targeted and efficient treatments by predicting patient-specific effects.

  • It allows researchers to assess the possible effects of novel drugs or therapies, negating the need for costly and lengthy clinical trials.

  • Sectors like education and marketing can benefit from the application of CaML in discerning the individualized effects of various interventions or strategies.

 đŸ“Œ Video Of The Day đŸ“Œ

đŸ› ïž Tools Of The Day đŸ› ïž

Outranking - Create Content that Drives More Traffic and Revenue

Arch Synth - AI for Architecture: Transform Sketches into Stunning Visuals

PhotoRoom - Create professional designs for free with an all-in-one creative photo editing platform

Speechify - Power through docs, articles, PDFs, email — anything you read — by listening. My personal favorite is Snoop Dog.

AlphaCTR - AI platform trained to generate high-performance thumbnails and ad creatives.

đŸ€Œ Prompt Of The Day đŸ€Œ

As MarketerGPT You're developing a Facebook ad campaign for a client who is a [ENTER BUSINESS NAME AND DESCRIPTION]. Create a compelling ad, considering these points:

Headline & Text: Develop catchy, concise copy aligning with your audience's values. The hook needs to be perfectly executed to ensure maximum effectiveness.

Visuals: Describe engaging imagery reflecting the brand's mission and product quality.

CTA: Define the desired viewer action.
Campaign Structure: Briefly outline your ad set strategy and scheduling.

Measurement & Optimization: Identify key performance metrics and potential adjustments.

Throughout the task, ask any questions necessary for crafting compelling campaign content. When you are happy with your output please confirm you have finished the consultancy process by saying “Final Output”.

đŸ„ Tweet Of The Day đŸ„

Thanks for tuning in to our daily newsletter. We hope you found our tips and strategies for AI tools helpful.

Your referrals mean the world to us. See you tomorrow!

Interested in Advertising on AIdeations?

 Fill out this survey and we will get back to you soon.

DISCLAIMER: None of this is financial advice. This newsletter is strictly educational and is not investment advice or a solicitation to buy or sell any assets or to make any financial decisions. Please be careful and do your own research.