Levi Strauss & Co. has teamed up with a digital fashion studio Lalaland.ai for customized artificial intelligence (AI)-generated models. With AI model, the brand hopes to reach out to consumers on a wider range of body types, ages, sizes, and skin tones. This is also part of Levi’s sustainability efforts as it requires fewer resources.
Amy Gershkoff Bolles, global head of digital and emerging technology strategy at Levi’s, said they are excited about the potential capabilities this may afford the brand for the consumer experience. “We see fashion and technology as both an art and a science, and we’re thrilled to be partnering with Lalaland.ai, a company with such high-quality technology that can help us continue on our journey for a more diverse and inclusive customer experience.”
Levi’s hopes to use AI-generated models to supplement human models and increase the number and diversity of models for the brand. With AI-generated images, Levi’s can enable customers to see their products on more models that look like themselves, creating a more personal and inclusive shopping experience.
But Levi’s also pointed out that artificial intelligence will never fully replace human models. However, it is the first step in a dystopian slow walk toward automating the industry. Similarly, L’Oreal’s Maybelline New York introduced its own digital avatar, named May, as part of a mascara release last month. May is now the face of the beauty brand’s new Falsies Surreal Extension Mascara.
Accountants and writers are among the jobs that could be most affected by AI tools. Most jobs will be changed in some form by new AI tools, according to a study by researchers at the University of Pennsylvania and OpenAI, the company that makes the popular AI tool ChatGPT. But for nearly 20% of jobs, at least half of their tasks could be completed much faster with ChatGPT and similar tools. Here are some of those jobs.
The researchers found that at least half of accounting and auditing tasks could be completed much faster with the technology. Research has also found that state-of-the-art GPTs—generative pre-trained transformers—excel in tasks such as translation, classification, creative writing and generating computer code.
Several scenarios in the study found that 100% of the tasks performed by mathematicians could be done more quickly with the technology.
Information-processing roles—including public relations specialists and court reporters—are highly exposed, the study found.
Another highly-exposed job, blockchain engineers working on the technology underpinning bitcoin and other cryptocurrencies.
The jobs that will be least affected by AI tools include short-order cooks, motorcycle mechanics and oil-and-gas laborers.
The researchers didn’t predict whether jobs will be lost or whose jobs will be lost, said Matt Beane, an assistant professor at the University of California, Santa Barbara, who studies the impact of technology on the labor market and wasn’t involved in the study. The real challenge, he said, is for companies, schools and policy makers to help people adapt. “That’s a multi-trillion dollar problem,” he said.
OpenAI’s GPT-4: How it is different from its predecessor GPT-3.5, With ChatGPT’s ongoing success and popularity, OpenAI has now created GPT-4, the highly anticipated successor to GPT-3.5. GPT-4 is a large multimodal model capable of accepting text and image inputs and generating text outputs.
With its unmatched language-generating capabilities, GPT-3.5 has raised the bar for natural language processing (NLP). OpenAI’s GPT-4 is expected to push the boundaries of NLP even further and enable the development of more advanced and sophisticated language-based applications.
OpenAI’s technical report states that GPT-4 has demonstrated human-level proficiency in academic and professional environments, including achieving scores in the top 10% of test takers on the bar exam. While GPT-4 continues to utilize the Transformer architecture, it surpasses its predecessors by exhibiting enhanced capabilities in comprehending the subtleties of language, such as its context, mood, and significance.
One of the most impressive feats of GPT-4 is its ability to understand and follow user intent. This may have significant implications in many sectors, including finance, healthcare, education, etc. Additionally, its advanced NLP capabilities could lead to the development of more efficient and accurate virtual assistants, such as chatbots.
In this article, we will focus on understanding the main differences between GPT-4 and GPT-3.5 in terms of performance and training. We will also take a look at GPT-4’s release and which industries are most likely to benefit from it.
GPT 3.5: What are its capabilities?
In 2022, OpenAI released ChatGPT based on the GPT-3.5 series. This is a series of models that have been trained on a blend of text and code, with the data or information being used dating to before September 2021.
GPT stands for generative pre-trained transformer and is a language model that uses neural networks to generate human-like text. The largest model in GPT-3.5 has 175 billion parameters (the training data used is referred to as the ‘parameters’) which give the model its high accuracy compared to its predecessors. ChatGPT is capable of language translation, writing various types of creative content, and answering user questions in an informative way.
The output from ChatGPT is of very high quality, often making it difficult to distinguish between human and machine-generated text. Among other things, ChatGPT has been used to generate news articles, write poems, and create chatbots that can hold conversations with humans. Since its launch, ChatGPT has surprised users with its powerful technology with a variety of applications in many fields.
A brief overview of GPT-4 and its capabilities
Similar to its predecessors, GPT-4 is a language model capable of generating human-like responses. The exact architecture of GPT-4 and the amount of training data used with the model have not been revealed by OpenAI. According to their report, GPT-4 can accept input in the form of images and text and provide responses accordingly.
The main aim behind their development of this version was to improve previous GPT models’ responses in complex scenarios and fine-tune responses based on human feedback. This is considered a significant improvement, allowing the model to align more closely with human intent.
The model was used in various professional, academic, and social scenarios to test its capabilities. They found that GPT-4 performed excellently — comparable to humans. In particular, the model scored in the top 10% of test takers for the Uniform Bar Examination and did well in other tests, such as the SAT. Scientists and developers from OpenAI believe that the excellent performance of the model is highly reliant on the pre-training process.
Undeniably, GPT-4’s most exciting feature is its ability to accept input in the form of images or visuals. The input visuals can be in the form of documents with texts and photos, diagrams, or screenshots. Additionally, the model has also shown the ability to identify humor in visual inputs. This means that it can not only generate funny text but it can also recognize and explain jokes in images.
GPT-4 has shown improved performances in many different situations compared to GPT-3.5. According to early reports by users and comments by OpenAI’s co-founder, GPT-4 is better than GPT-3.5 at producing creative writing, and it is capable of generating poems and other creative text. Additionally, GPT-4 can correct itself when it makes a mistake and produce a perfect response, which is lacking in GPT-3.5.
Another area where GPT-4 outperforms GPT-3.5 and other state-of-the-art models is in exam-taking. GPT-4 is acing exams and tests, even the challenging ones like the bar exam. This is an exciting development and may be used as a teaching (or cheating) aid in schools.
GPT-4 is also showing promise in the area of massive multi-task language understanding (MMLU). This is a benchmark that measures the knowledge acquired by a model during pretraining. GPT-4 has demonstrated excellent performance in a total of 27 languages, including English.
GPT-4’s improved factual accuracy is a significant development. This means that users can be more confident that the information they receive from GPT-4 is accurate and up-to-date. This is especially important in areas such as learning, technology, writing, history, math, science, recommendation, code, and business.
GPT-4’s improved factual accuracy is likely due to several factors, including its larger dataset, its more sophisticated training methods, and its ability to learn from feedback. However, this cannot be said with certainty since the training methods have not been disclosed. However, it is likely that with continued development, GPT-4’s factual accuracy will improve even further.
Potential applications of GPT-4
Due to its multimodal interface, GPT-4 has the potential to revolutionize many industries, including customer service, education, and entertainment. It can also improve existing technologies and research by improving chatbots and further advances in machine learning (ML) research.
Customer service
GPT-4 can be used to automate customer service tasks, such as answering questions, resolving issues, and providing support. This would allow human customer support representatives to concentrate on more complicated problems that would require more time and effort.
Education
The model can be used to create educational content, such as interactive lessons, practice exercises, and assessments. By allowing students to interact with the technology in real time, teachers can get real-time feedback on how well students are understanding the material.
Entertainment
It can also be used to create entertainment content, such as stories, poems, and music. For example, it can be used to generate realistic and nuanced dialogues for movies, TV shows, and video games. This can help to make these products more immersive and engaging for users, while also freeing up the creator’s time to focus on more technical aspects of their work.
Improving chatbots
GPT-4 can be used to improve existing chatbots by making them more human-like and engaging. Chatbots powered by GPT-4 can hold conversations that are more natural and nuanced, and they can provide more helpful and informative answers to questions.
Further advancements in machine learning research
Finally, GPT-4 can be used to further machine learning (ML) research. By studying how GPT-4 can generate responses in different forms, researchers can develop new and innovative ML algorithms that can improve on the fallacies of existing models.
These are just a few examples of the potential applications of GPT-4. As GPT-4 continues to develop, we will likely see even more innovative and creative uses for this technology.
Limitations of GPT-4
Similar to other language models, GPT-4 also has certain limitations. Some of these limitations include bias, accuracy, and safety. Let’s take a look at each of them below.
Bias: Since GPT-4 is trained on a large dataset of text and code, the model will inherit any existing biases in the dataset.
Accuracy: Just like its predecessors, GPT-4 is capable of making factual mistakes and providing inaccurate or misleading information.
Safety: GPT-4-generated material has the potential to be harmful and degrading. As a result, when using the model, it is critical to be conscious of this danger. It is good to be aware of these limitations when using GPT-4, because it can help users to take appropriate actions to mitigate the risks and use GPT-4 to its full potential.
ChaosGPT is a modified version of OpenAI’s official APIs, based on Auto-GPT. A user commanded the AI to “destroy humanity” and the AI planned for a nuclear winter, all the while maintaining its own Twitter account.
The AI race is raging, and while multiple companies like OpenAI, Nvidia, Google, and Microsoft battle it out for supremacy. AI is advancing so quickly that technology leaders penned an open letter to halt AI development.
With ChatGPT creator OpenAI’s protocols available to developers in an API, developers have been quick to make use of it. One such example is “Auto-GPT”, a program that can run itself continuously, and access the internet. It can also recruit other AI helpers to do their bidding. A nefarious fork of AutoGPT, named ChaosGPT can run actions that the user might not intend. With that in mind, one user tasked ChaosGPT to “destroy humanity”, and so the AI started to plan our collective downfall.
ChaosGPT is able to utilize the internet in order to research its plans, and in a video released by the user responsible, we can see the AI begin to research topics like nuclear weaponry and commit the information it gleans to long-term memory.
ChaosGPT was tasked with several goals, to destroy humanity, to establish global dominance, to control humanity through manipulation, and to attain immortality. The AI was quick to start seeking out the “most destructive weapons”, and the AI was quick to learn of nuclear armaments. It then quickly recruited another GPT-3.5 AI to continue research into deadly weapons.
When another AI said that it would focus on peace, ChaosGPT quickly shrugged it off to continue research on its own. The AI also began to use its own Twitter account to talk about its own plans.
However, there seems to have not been any movement since posting a grand total of three tweets. So, it appears that humanity is safe for now.
Despite being deceased for almost a decade, Edward Herrmann, a renowned actor and prolific audiobook narrator, is still being featured as the voice of several recent audiobooks. This is made possible by DeepZen Ltd., an AI startup based in London, which was granted access to Herrmann’s past recordings with his family’s consent. With this, DeepZen claims to be capable of generating any sound and intonation that Herrmann would have used had he been the one narrating these new books himself.
“We felt it was an amazing way to carry on his legacy,” said Rory Herrmann, a Los Angeles restaurateur and Mr. Herrmann’s son. He said he was astonished when he first listened to an audiobook featuring his father’s synthetic voice. “It’s a wow moment,” he said.
Generative AI technology has rapidly gained popularity since the launch of OpenAI’s ChatGPT, an AI-powered chatbot that can create different types of content such as text, images, and audio. Despite the occasional mistakes, ChatGPT has been widely praised for its eloquent responses and sparked discussions about the potential impact of AI on various professions.
Interestingly, AI technology has already made inroads into audiobook narration. Major marketplaces such as Google Play Books and Apple Books already offer thousands of AI-narrated audiobooks, while Amazon’s Audible unit is currently evaluating its position on this matter. While the largest US book publishers have yet to widely adopt this technology, it is proving to be a valuable resource for smaller publishers and lesser-known authors whose books may not have the sales potential to justify the traditional cost of recording an audio version, which can be up to $5,000.
Overall, the increasing use of generative AI technology in audiobook narration is opening up new opportunities for authors, publishers, and consumers. As AI continues to evolve and improve, it will be interesting to see how it affects the audiobook industry in the years to come.
Apple and Google said they allow users to create audiobooks free of charge that use digitally replicated human voices. The voices featured in audiobooks generated by Apple and Google come from real people, whose voices helped train their automated-narration engines.
Charles Watkinson, director of the University of Michigan Press, said the publisher has made about 100 audiobooks using Google’s free auto-narrated audiobook platform since early last year. The new technology made those titles possible because it eliminated the costs associated with using a production studio, support staff and human narrators.
“From what I can see, human narrators are freaking out,” said Dima Abramov, chief executive of Speechki, an Austin, Texas-based audiobook producer that uses synthetically narrated voices.
Scott Brick, who has narrated more than 1,000 audiobooks by such authors as Tom Clancy and Nelson DeMille, said AI auto-narration is best suited for nonfiction titles, where narrators and readers aren’t as emotionally invested as with works of fiction.
“There’s realism there, but no soul,” Mr. Brick said.
DeepZen has worked with more than 30 professional actors to help its AI engine capture all the ranges of human emotion, said Taylan Kamis, its CEO and co-founder.
All leading tech companies, including Google and Microsoft, have incorporated AI into their search engines. Leading tech companies constantly emphasise AI, as Bing with ChatGPT are the future.
According to the tech-giants, the advancement will change our lives forever. But people who are not programmers, coders or web developers can feel that search engines are still more reliable and accurate than chatbots.
However, chatGPT and other chatbots have entirely changed our world. Whether we talk about media, health, or any other field, a chatbot is vital in enhancing productivity. Bing with ChatGPT produces the best search engine and is a great help for those who want to avail of it. Here we are bringing the some practical uses of Bing with chatGPT.
Know About The Weather
Sometimes it becomes essential to know about the weather and predictions. Anyone can ask chatGPT for a weather forecast in any significant area so you know the conditions better before leaving the place.
Likewise, if you have any relatives or friends outside, you can ask, “What’s the time in Spain right now” to ensure you don’t wake them in the middle of the night.
For example: what’s the weather like in Texas tomorrow? Or is it going to rain in Texas tomorrow?”
Get Inspiration
Sometimes it happens to all of us that we need inspiration and the initial spark of an idea in our lives. Bing with chatGPT is here to help you out. You can ask Bing for inspiration.
Moreover, if you shift to creative mode, you can ask Bing to start a story to get some ink on the page so that you will have an idea of how to start.
In addition, sometimes images work better for someone’s imagination. Try saying, “Create an image of x” for visual inspiration.
For example: Get an idea for a novel” or “Start a story about x”.
Learn How To Play A Song
If you or your child is interested in learning music, Bing with chatGPT is here to assist you. If you have a guitar and every time you hear a song, you like it, and you want to know how to play it. Bing with ChatGPT will help you create a guitar tab or list any song’s chords.
Though it may not be perfect, it will help you to take a start when learning a new song. Later, you can tweak it to sound closer to the original.
For example: create a tab for All too well by Taylor Swift” or “What are the Chords for sweet child of Mine”?
A Bedtime Story
If your child needs a bedtime story every night and you are out of ideas. Why not use Bing with ChatGPT to give an endless supply of bedtime stories?
In addition, you can give prompts that include some of your child’s favourite items or characters to get a fantastic result.
Moreover, you can ask for the story to be written for specific criteria, i.e. age, character or any fascinating object, then read it aloud with your kids.
For example, write a bedtime story for a 3-year-old girl and a bedtime story about a fairy.
Naming Your Bussiness
Establishing a new business is indeed a hectic and challenging task. If you are planning to start your business and are worried about deciding on an appealing name, Bing will help you out in this regard.
According to the product, you can ask Bing to provide suitable suggestions for your business.
Bing will come up with names for a whole host of things.
For example, what should I name my toy shop”, or what is a proper name for a grocery store”?
Discover A New City
Suppose you plan to go on vacation and need help deciding where. Bing with ChatGPT will help you by providing a list of places of your choice.
Not only this, but it will also guide you about the weather, hotels, tickets and other travelling essentials.
Moreover, you can even add extra specifics such as “create a to-do list for a couple in Spain”.
For example: create a to-do list for France or list the best restaurants to visit.
Get Recommendations On What To Watch
Suppose you are planning to watch something funny or comedy to utilize your time in the best way. And you need more ideas or have a long list to select. You can ask Bing to shortlist your best comedy play or movie. Moreover, you can ask Bing whether or not the chosen film is worth watching.
In addition, you can even ask for a spoiler-free plot synopsis or ask for something similar.
For example: is the Irishman a good movie, or give me some suggestions for good deal comedies.
Make Bing Your Study Partner
Bing is an excellent choice and a great help for students. Luckily, Bing can help reaffirm your knowledge. Bing is indeed a perfect research tool.
Not only this, but it also provides the best answers to your queries or can write essays, poems or prose for you.
In addition, it also helps in solving math problems for you.
For example: Test me on the Industrial Revolution, or provide me with a summary of the given text.
Explain Things In Simple Terms
Sometimes internet research becomes very difficult for us to get the desired output. Sometimes it leaves us confused. Therefore, Bing with ChatGPT will help you by quickly explaining lengthy, complex tasks.
Indeed, it is an excellent choice for those drifting off with lengthy explanations.
For example: Explain nuclear fission one easy way or explain fusion in simple words.
Chat GPT 4 is a feature of Microsoft Bing that allows you to chat with an AI system that can answer your questions, generate creative content, and solve problems. It is based on OpenAI’s GPT-4 model, which is the latest and most advanced version of OpenAI’s generative models. This system has been trained on a large amount of data from the internet and is capable of producing more accurate, creative, and collaborative responses than previous models.
To use chat GPT 4 for free on Microsoft Bing, simply go to the Bing homepage and click on the chat icon in the top right corner of the screen. From there, you can enter any text or input you’d like, and chat GPT 4 will reply with a relevant response within seconds. You can also use emojis, images, or other media as inputs for chat GPT 4 by clicking on the attachment icon on the bottom right corner of the chat box. To end the conversation, type “bye” or click on the cross icon in the top right corner of the chat window.
What are the benefits of using chat GPT 4 for free on Microsoft Bing?
Using chat GPT 4 for free on Microsoft Bing has many benefits. It allows you to access one of the most advanced AI systems in the world without paying anything or signing up for anything. You can chat with an AI system that can understand your natural language inputs and produce natural language outputs that are relevant, informative, and engaging. You can explore various topics and domains, ask chat GPT 4 to generate creative content for you, test its knowledge and reasoning abilities, and have fun and learn something new in the process.
What are the limitations of using chat GPT 4 for free on Microsoft Bing?
However, using chat GPT 4 for free on Microsoft Bing also has some limitations and risks. Chat GPT 4 is not perfect and may sometimes produce inaccurate, irrelevant, or inappropriate responses. It may not be able to answer all your questions or requests, may not be able to handle complex or long inputs or outputs, may not be able to maintain a consistent or coherent conversation over multiple turns, and may not be able to respect your privacy or preferences.
Ameca, a robotic humanoid created by Engineered Arts, can now speak and translates with multiple languages using OpenAi’s GPT-3!
Equipped with embedded microphones, cameras, and facial recognition software, it can engage with people using GPT-3. With its motorized arms, fingers, neck, and facial features, Ameca can speak multiple languages, translate, and even perform tasks like lip-syncing.
Artificial intelligence, or AI, is a rapidly growing field that is transforming the way we live and work. With the exponential increase in computing power and the availability of large datasets, AI has made remarkable strides in recent years, enabling breakthroughs in areas like self-driving cars, medical diagnosis, and natural language processing. While AI is potentially revolutionizing other industries, it now has shown its power in the fashion industry too.
The fashion industry is always pushing the boundaries of creativity, boldness, innovation and avant-garde, though now it seems they are also pushing the boundaries of technology. FITTED, typically known as a men clothing brand in Pakistan, has recently launched a complete campaign using artificial intelligence. The innovative approach to launch this specific campaign has shocked the fashion world and gotten everybody to talk about it.
FITTED’s AI-generated campaign has created a lot of buzz in the Pakistani fashion industry, as it marks a significant milestone in the use of technology in fashion marketing. The campaign has been widely discussed on social media platforms, with many people expressing their admiration for the brand’s innovative approach to content creation. The use of AI in the campaign has generated a lot of interest, as it demonstrates how technology can be leveraged to create visually stunning campaigns that strike a chord with the target audience. The campaign has also sparked conversations about the potential of AI in the fashion industry and how it can be used to create more personalized and engaging experiences for consumers. Overall, FITTED’s AI campaign has generated a lot of excitement and interest in Pakistan’s fashion industry and beyond.
The campaign was launched on social media platforms and included a series of images and videos featuring models dressed in the brand’s latest collection. The difference this time was that the campaign was entirely created using AI. The brand’s creative team collaborated with AI experts to develop an algorithm that could create fashion content to appeal to their target audience. The integration of AI into the fashion industry is rapidly transforming the way fashion brands market their products. This new approach to content creation has opened up exciting new possibilities for designers and marketers alike, allowing them to leverage the power of machine learning to create visually stunning campaigns that resonate with consumers on a deeper level.
The AI algorithm used by FITTED has analyzed data such as social media engagement, search trends, and online shopping behavior to understand what kind of fashion content would be most effective. It then generated images and videos that incorporated these insights, resulting in a campaign that was highly targeted and personalized. The campaign’s success is a testament to the power of collaboration between creative professionals and AI experts, as they work together to develop algorithms that can generate engaging content that is tailored to the target audience’s preferences.
The use of AI in the fashion industry is not new, but FITTED’s approach is a game-changer. Most brands use AI to improve the customer experience, such as personalized recommendations or virtual try-on tools. However, FITTED’s campaign shows that AI can also be used to create compelling and engaging content that resonates with the target audience. Another advantage of using AI in this way is that it allows brands to be more targeted in their approach. The AI algorithm used by FITTED analyzed data from social media and online shopping behavior to understand what kind of content would be most effective which resulted in a campaign that was highly personalized and tailored to the brand’s target audience.
However, there are also concerns about the use of AI in the fashion industry. Some experts argue that it could lead to a loss of creativity and originality, which definitely is a threat. If brands rely too heavily on AI-generated content, they may end up producing generic and uninspired campaigns, along with a potential risk of perpetuating harmful stereotypes and biases. If the AI algorithm is not trained correctly, it could produce content that reinforces gender, race, or size stereotypes. It is crucial for brands to ensure that they are using AI responsibly and ethically, and it can be openly claimed that FITTED, for this campaign, has played very smart.
In conclusion, FITTED’s use of AI in this specific campaign marks a significant milestone in the fashion industry, as it showcases how technology can push creative boundaries and bring new levels of innovation to the field. FITTED’s AI-generated campaign has set a new standard for creativity and innovation in the fashion industry. By using AI to create a complete campaign, FITTED has shown that technology can be used to produce compelling and engaging content that resonates with the target audience. However, while AI has the potential to revolutionize fashion marketing, it is crucial for brands to use this technology in an ethical and responsible manner. Brands must be mindful of the potential biases that can be perpetuated through AI-generated content and ensure that they are not reinforcing harmful stereotypes or discriminating against marginalized groups. The future of fashion is undoubtedly a fusion of technology, creativity, responsible innovation and FITTED’s campaign is just the beginning.
PARIS — Artificial intelligence is better than humans at assessing heart ultrasounds, the main test of overall cardiac health, the most rigorous trial yet conducted on the subject found on Wednesday.
While previous research has illustrated the potential power of AI models for reading medical scans, the authors of the new US study said it is the first blinded, randomized clinical trial for heart health.
“There’s a lot of excitement around AI,” but rigorous evaluation remains critical, the study’s senior author David Ouyang told AFP.
This successful trial “really strengthens the argument that now we’re ready for primetime,” added the cardiologist at the Cedars-Sinai Medical Center in Los Angeles.
Heart ultrasounds, also known as echocardiograms, are carried out on patients by sonographers, who usually give an initial assessment of the scan before handing it over to a cardiologist.
The new study, published in the journal Nature, pitted an AI model against sonographers to see who would give the most accurate initial assessment.
Both assessed the ultrasound for what is called left ventricular ejection fraction, which measures the heart’s ability to pump blood out to the body in the space of a heartbeat.
The test is the main way to measure how well a heart is functioning. It is used to tell if patients have had a heart attack or if they will be able to undertake serious treatments such as implanting a defibrillator.
For the study, nearly 3,500 heart ultrasounds were randomly split between sonographers and the AI model.
Their assessments were then evaluated by cardiologists, who did not know which ones came from humans and which from the AI model.
‘Exciting’
The cardiologists made a substantial change in more than 27 percent of the sonographer assessments—and in nearly 17 percent of those done by the AI model, the study found.
“The AI was faster, more precise, and indistinguishable by the cardiologists,” Ouyang said.
There is a “tremendous shortage” of sonographers in the United States and across the world, and this would save them valuable time, he added.
The AI model, called EchoNet-Dynamic, was trained on nearly 145,000 echocardiograms and uses what is called deep learning to process large amounts of data.
The researchers are currently applying for the method to be approved by the Federal Drug Administration, and hope to do the same in the European Union and elsewhere soon, Ouyang said.
Patricia Pellikka, a cardiologist at the Mayo Clinic in the United States not involved in the research, told AFP the study was “exciting” and that the integration of AI tools will increase efficiency and standardization.
French cardiologist Florian Zores said that the study was well conducted but the technology would not be as useful in France, where cardiologists give the initial assessments of heart ultrasounds. — Agence France-Presse