The year 2023 witnessed new developments in the use of artificial intelligence technology in medicine and disease treatment. Hence, some experts consider this year a prosperous year and a turning point in this field. Here are the 6 major artificial intelligence innovations in 2023.
6 Major Artificial Intelligence Innovations in 2023
In this article, we’re going to talk about the 6 major artificial intelligence innovations in 2023. According to Fox News, if you’ve used medical care this year, there’s a good chance you’ve had a close encounter with artificial intelligence. The year 2023 is largely considered the year of artificial intelligence and witnessed the emergence of various new and improved technology tools, many of which have had an impact on the health field.
Dr. Harvey Castro, an emergency physician in Dallas, Texas, and an expert on artificial intelligence in the healthcare sector, says: that 2023 was a turning point for artificial intelligence in the healthcare sector and witnessed important developments that revolutionized medical procedures and paved the way for a future where treatments are more personalized, effective and accessible.
Castro and other AI experts have commented on some of the most important AI developments in 2023. In the following, we discuss six of the most important developments mentioned by these experts.
“ChatGPT” and other generative artificial intelligence models
Dr. Tinglong Dai, Professor of Business Analytics at Johns Hopkins School of Business in Baltimore, Maryland, says: Although there is no official regulatory framework for productive artificial intelligence, this artificial intelligence is widely tested by medical professionals.
Dai told “Fox News Business” that ChatGPT is the most well-known and used productive artificial intelligence tool among health and treatment activists in various activities with the aim of reducing the burden of documentation and enabling the treatment staff to focus on their main activity.
This large language model affects everything from how patients receive medical advice to how doctors communicate and keep records.
“ChatGPT has revolutionized the field of healthcare communication by providing tools for personalized treatment plans and remote interaction with patients,” Castro said.
At the same time, this artificial intelligence chatbot has faced some criticism because sometimes its answers are incomplete and inaccurate.
Disease diagnosis through retinal images
In September of this year, researchers from University College London (UCL) announced an important artificial intelligence model for disease diagnosis using retinal images, the results of which were published in the journal Nature.
In this regard, “Dai” told Fox News Digital: “This model is built by learning based on 1.6 million retinal images, it performs well in the field of diagnosing and predicting eye diseases as well as systemic disorders such as heart failure and myocardial infarction.” has it.
He added: This model called RETFound is an important development in the field of medical artificial intelligence and provides a more efficient approach to disease diagnosis through a fundamental model.
Improvements in medical utility
In another discovery of artificial intelligence, a study by the United States, England, and Bangladesh provided the first real-world evidence that autonomous artificial intelligence can improve medical productivity.
This study, published in the “Digital Medicine” journal, showed that clinical usefulness in diagnosing retinal disease in diabetic patients has increased by 40%. This achievement was achieved by using an artificial intelligence device approved by the Food and Drug Organization to screen patients upon entering the hospital.
Imaging and medical education
An image generation model based on artificial intelligence known as DALL-E 3 in the health field can provide correct medical orders based on textual descriptions. This model was initially unveiled in January 2021 by the “Open AI” company.
The company noted that the model takes a text message as input and produces a new image as output.
In this regard, Castro said: This (model) is practical and useful in the field of medical education and provides visual aids for complex medical conditions and procedures.
Castro added: There have also been advances in the field of medical imaging with the help of artificial intelligence, such as the improvement of MRI technology.
Acceleration in cancer research
Andrea Stiva, CEO and co-founder of ArteraAI, a California-based precision medicine company, described cancer research as a “fertile area for artificial intelligence.”
We use this (artificial intelligence) to find hidden patterns in data, personalize treatment decisions, and help predict treatment benefits, he told Fox News Digital.
Stiva noted that artificial intelligence will help speed up clinical trials and open doors to new possibilities in the field of healthcare. Imagine artificial intelligence designing a cancer treatment for a specific patient based on their genome – the possibilities are endless.
Artificial intelligence medical devices
Dai of Johns Hopkins University noted that AI-based medical devices are still coming in strong. Until July of this year, 692 artificial intelligence devices were approved by the US Food and Drug Administration for clinical use, which shows a 33% increase compared to last year.
He told Fox News Digital: Approved devices now cover 19 specialty areas, although the field of radiology accounts for about three-quarters of approved devices.
An artificial intelligence report in the “New England Journal of Medicine” also highlighted the real-world applications of these devices and showed that these devices are growing rapidly.
A prosperous year
Matt Mohabi, head of artificial intelligence and research at BrightSound Health in New York, described 2023 as a booming year for fundamental research in the field of large-scale linguistic models for health and treatment.
He said that some of the biggest companies are competing with each other to produce advanced performance in the field of medical indicators. Although currently, patients will not be able to see the benefits of these findings in the doctor’s article, these findings indicate what lies ahead. Medical personnel who adapt to these technologies will replace those who do not adapt.
Castro also told Fox News: AI advances in 2023 represent a giant leap forward in integrating AI into healthcare.
He added: These innovations promise a future where treatment becomes more personalized, efficient, and accessible, and will ultimately lead to better results for patients and a transformation in the perspective of health and treatment.
The new name of Google artificial intelligence
The new name of Google Artificial Intelligence was announced. Google changed the name of its conversational robot, which was called Bard, to Gemini and released a program based on the Android operating system for it.
The new name of Google Artificial Intelligence was announced
Just as Microsoft changed the name of its Bing chatbot to Copilot to integrate its AI brand, Google has done the same with Bard and Duet artificial intelligence, and these services are now ” They are named “Gemini”.
According to Engjet, the news of this name change was leaked at the beginning of this month.
Google has also introduced a dedicated Android app for Gemina alongside the paid version of this chatbot which has more advanced features.
“Bard has been the best way for people to experience our most powerful models firsthand,” Google CEO Sundar Pichai wrote in a blog post. To reflect the advanced technology at its core, Bard is now simply called Gemini, available in 40 languages on the web, and a new app is coming to Android as well as Google’s app for iOS.
Those who download the Gemini Android app can actually replace Google Assistant as the default assistant on their device. So when you long-press the home button or say “Hey Google,” your phone or tablet can activate Gemini instead of Google Assistant. You can also make this change from the settings.
By doing this, a new conversation icon will be activated on your screen. Along with quick access to Gemina, the overlay offers text suggestions, such as the ability to create a caption for a photo you just took or request more information about an article on your screen.
You can also access common smart assistant features through the Geminai app, from making calls and setting alarms to controlling smart home devices.
Google has said that it will enable more assistant functions for Gemina in the future. This certainly makes it look like Google is abandoning its smart assistant in favor of Gemina.
Regarding the operating system of iPhone (iOS) phones, there will not be a separate program from Gemina at the moment. Instead, it can be accessed through the Google app by tapping the Gemini button.
Gemina is available for Android and iOS in English in the US starting today.
Next week, Google will begin making Gemina available in more languages, including Japanese and Korean, and as expected, Gemina will be available in more countries in the near future.
In addition, Google is opening up access to what is its largest and most powerful AI model, Ultra 1.0, through the Gemini Advanced program. The company claims that this model can have longer and deeper conversations with the ability to recall text from previous chats.
Google says Gemini Advanced is more capable of highly complex tasks such as coding, logical reasoning, following subtle instructions, and collaborating on creative projects.
The app is now available in English in 150 countries and regions, and to access it you need to sign up for the new Google One AI Premium plan, which costs $20 a month.
Of course, this subscription comes with access to the Gemini Advanced program, which includes access to everything from the Google One Premium Plan to 2TB of storage and a VPN.
Subscribers will also be able to use Gemina in apps like Gmail, Docs, Slides, and Sheets in the near future, which is an example of Duet’s AI replacement.
Notably, Google says it sought to reduce concerns such as bias and unsafe content when developing Gemini Advanced and other artificial intelligence products. The company says that before refining the model with reinforcement learning and fine-tuning, extensive trust and safety checks, including red-timing (meaning testing by ethical third-party hackers), have been conducted.
Four threats of artificial intelligence to humans
Prominent artificial intelligence experts have sounded the alarm about the speed and magnitude of recent advances in this technology and have listed four threats to human societies. Here are the four threats of artificial intelligence to humans.
Four threats of artificial intelligence to humans
According to Euronews, why has artificial intelligence created such fear and what can we do about it? Why is Geoffrey Hinton, the “godfather of artificial intelligence”, worried? What are the four dangers that this technology worries him?
What are some of the biggest concerns expressed about the future of artificial intelligence and humanity?
Prominent artificial intelligence experts have sounded the alarm about the speed and magnitude of recent developments in this field and warned that these developments are nothing less than a threat to humanity.
Geoffrey Hinton, a computer scientist known as the “godfather of artificial intelligence,” recently quit his job at Google to share his concerns about the uncontrolled development of new artificial intelligence tools.
Hinton, 75, told the MIT Technology Review: “Suddenly I changed my view on whether these achievements would be smarter than we are.” I think artificial intelligence is already very close to us and will become much smarter than us in the future. The question is, how can we humans survive this technology?
Hinton is not the only one who has expressed concern in this regard. In February, Sam Altman, CEO of OpenAI, the company that developed ChatGPT, also stated: The world is not far from achieving potentially terrifying artificial intelligence tools; So it is very important to set the rules in this area, but it will take time to understand.
Shortly after the Microsoft-backed startup released its latest artificial intelligence model, GPT-4, in March, more than a thousand researchers and technologists wrote a letter calling for a halt to the technology, citing the deep dangers it poses to society and beyond. 6 months of artificial intelligence development.
Four threats of artificial intelligence to humans
Here are the biggest concerns raised by Hinton and other experts.
1- Artificial intelligence may already be smarter than us
The human brain can solve equations, drive, and follow series thanks to its innate talent for organizing and storing information and finding solutions to difficult problems.
Approximately 86 billion neurons located in the human skull, and more importantly, 100 trillion connections between these neurons, have provided these capabilities to humans.
In contrast, there are between 500 billion and one trillion connections in the technology underlying ChatGPT, says Hinton. While this seems to put it at a huge disadvantage compared to us, GPT-4, the latest AI model from OpenAI, knows hundreds of times more than any human. This technology, perhaps, has a much better learning algorithm than humans, which makes it more efficient in cognitive activities.
Researchers have long realized that it takes much longer for artificial neural networks to absorb and apply new knowledge compared to humans because training them requires huge amounts of energy and data.
But Hinton says that’s no longer the case, and systems like GPT-4 can learn new things very quickly after being properly trained by researchers. This is not unlike the way a trained professional physicist understands new experimental findings much faster than a high school student.
This led Hinton to conclude that artificial intelligence systems are smarter than us. Not only can they learn material faster, but they can share copies of their knowledge almost instantly. This is a completely different form of intelligence, a new and better form of intelligence.
2- Artificial intelligence can speed up the spread of false information
What do artificial intelligence systems smarter than humans do? A worrisome possibility is that hostile individuals, groups, or national governments may simply exploit them to further their own goals.
According to a new report by NewsGuard, which assesses the credibility of websites and tracks online misinformation, dozens of fake news sites are now spread across the Internet in different languages, some of them publishing hundreds of articles a day, which are aided by Artificial intelligence are produced, published.
Hinton is particularly concerned that AI tools could be trained to influence elections and even start wars.
For example, election disinformation spread by AI chatbots could be the future version of election disinformation spread by Facebook and other social messengers, and these may be just the beginning.
3- Will artificial intelligence make people unemployed?
OpenAI estimates that 80% of American workers will see their jobs affected by artificial intelligence. A report by the banking and financial services company Goldman Sachs states that this technology could threaten 300 million full-time jobs worldwide.
According to Hinton, humanity’s survival is at stake when “intelligent tools can outrun us.”
These things teach us how to control people by reading all the novels ever written and everything the Italian historian and playwright Niccolò Machiavelli ever wrote, says Hinton. Even if they can’t pull the levers directly, they can certainly make us pull the levers.
4- We don’t quite know how to stop it
“I wish I had a nice simple solution, but I’m not sure if there is,” Hinton added.
However, governments are paying close attention to the rise of artificial intelligence. The White House invited the executives of Google, Microsoft, and OpenAI, the creator of ChatGPT, to meet with “Kamala Harris”, the vice president of the United States, on how to reduce the short-term and long-term risks of this technology and have a frank discussion about it.
European lawmakers are also accelerating negotiations to pass comprehensive artificial intelligence laws. The UK plans to examine the impact of AI on consumers, businesses, and the economy and whether new controls are needed for technologies such as ChatGPT.
What is not clear is how anyone can stop a power like Russia from using AI technology to dominate its neighbors or citizens.
Hinton suggested that a global agreement similar to the 1997 Chemical Weapons Convention would be a good first step toward creating international rules against weaponized AI.
What are the 5 important artificial intelligence events in 2024?
What are the 5 important artificial intelligence events in 2024? Artificial intelligence is expected to experience significant events in 2024. In this report, we examine five important events.
What are the 5 important artificial intelligence events in 2024?
According to Forbes, the year 2023 was a turning point in the evolution of technology, and generative artificial intelligence became mainstream. As 2024 begins, the landscape of generative artificial intelligence is expected to evolve rapidly, with a series of events that promise to transform the technology and its applications.
From advances in multimodal AI models to the emergence of small language models, these events are not only shaping the technology landscape, but also redefining the interactions, creativity, and understanding of AI’s potential.
In this report, we explore the top generative artificial intelligence events in 2024.
1. The emergence of multimodal artificial intelligence models
OpenAI’s GPT2 chatbot, Meta’s LLama 2, and Mistral AI’s AI are all examples of advances in large language models. With the help of multimodal AI models, this technology moves beyond text and allows users to mix and match content based on text, audio, image, and video to create new content. This method involves combining data such as images, text, and speech with advanced algorithms to predict and generate results.
By 2024, multimodal AI is expected to evolve significantly and bring about changes in generative AI capabilities. These models go beyond traditional single-mode functions and accommodate diverse data such as image, language, and audio. Artificial intelligence becomes more intuitive and dynamic as a result of moving to multimodal models.
Chatbot GPT4-7 is currently popular among ChatGPT Plus subscribers due to its multifaceted capabilities. In 2024, we can expect the emergence of open-source models such as “LLava”.
2. Powerful and powerful small language models
If 2023 was the year of big language models, 2024 will witness the power of small language models. Large language models are trained with large sets of data such as Common Crawl and The Pile. The data of these collections are extracted from billions of publicly available websites. Although the data used in training large language models to generate meaningful content and predict the next word is really useful, their nature comes from public Internet content.
On the other hand, small linguistic models are trained with a more limited data set. However, they are composed of quality sources such as textbooks, journals, and authoritative content. These models are smaller in terms of several parameters as well as storage and memory requirements, which makes them work with less powerful and cheaper hardware. Although small language models are a fraction of the size of large language models, their content quality is comparable to some of their larger counterparts.
Microsoft’s PHI-2 and Mistral 7B are two promising small language models that will power the next generation of AI applications.
3. The emergence of autonomous agents
Autonomous agents are an innovative strategy for building generative artificial intelligence models. These agents are independent software programs designed to achieve a specific goal. When considering generative artificial intelligence, the ability of autonomous agents to generate content free of human intervention overcomes the limitations associated with conventional engineering.
Advanced algorithms and machine learning methods are used to develop autonomous agents. These agents use data to learn, adapt to new situations, and make decisions with little human intervention. For example, OpenAI has developed models that make effective use of autonomous agents and represent significant progress in the field of artificial intelligence.
Multimodal artificial intelligence, which is a combination of various artificial intelligence methods such as natural language processing, computer vision, and machine learning, is very important in the development of autonomous agents. Multimodal artificial intelligence can predict, take actions, and interact more appropriately by analyzing various data simultaneously and applying current concepts.
Frameworks such as LangChain and LlamaIndex are some popular models used to build agents based on large language models. In 2024, we will see the emergence of new frameworks that use multifaceted artificial intelligence.
Read More: Chemist’s AI makes oxygen from ice on Mars
4. Open source models comparable to proprietary models
By 2024, open and generative AI models are expected to evolve significantly, and some predictions suggest that they will be comparable to proprietary models. On the other hand, the comparison between open and proprietary models is complex and depends on various factors, including specific use cases, development resources, and data used to train the models.
Mistral AI’s Llama 2 70B, Falcon 1800B, and Mixtral 8X7B models have become very popular in 2023, and their performance is comparable to exclusive models such as GPT 3. 5″, “Claude 2” and “Jurassic” were comparable.
In the future, the gap between open models and proprietary models will narrow, providing companies with an excellent option for hosting AI models in hybrid or on-premise environments.
Later models from Meta, Mistral AI, and possibly new companies will be introduced in 2024 as suitable replacements for existing proprietary models such as APIs.
5. “Native cloud” is the key to productive artificial intelligence
The Kubernetes platform is currently the preferred environment for hosting generative AI models. Major companies such as Hugging Face, Google, and OpenAI are expected to use Cloud Native infrastructure supported by Kubernetes to deliver productive AI platforms.
Models such as “Text Generation Inference” by Hugging Face, “Ray Serve” by “AnyScale” and “vLLM” currently support the implementation of the desired infrastructure. 2024 will see the maturation of frameworks, models, and platforms running on Kubernetes to manage the entire lifecycle of the underlying models. Users can pre-train, fine-tune, deploy, and scale production models efficiently.
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