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The Role of Artificial Intelligence in Streamlining Dietary Planning – Fagen wasanni

The Future of Personalized Nutrition: How Artificial Intelligence is Revolutionizing Dietary Planning

The role of artificial intelligence (AI) in streamlining dietary planning is becoming increasingly important as the world grapples with the challenges of obesity, malnutrition, and the growing demand for personalized nutrition. With the advancements in technology, AI has the potential to revolutionize the way we approach dietary planning, enabling us to create more accurate, personalized, and effective meal plans that cater to the unique needs of each individual.

One of the key challenges in dietary planning is the sheer complexity of human nutrition. There are countless factors that can influence a persons nutritional needs, including age, gender, weight, height, activity level, and medical history. Moreover, the relationship between diet and health is not always straightforward, with many nutrients interacting with each other in complex ways. This makes it difficult for nutritionists and dietitians to create accurate and personalized meal plans that can effectively address the specific needs of each individual.

This is where AI comes in. By leveraging advanced algorithms and machine learning techniques, AI can analyze vast amounts of data to identify patterns and relationships that would be impossible for humans to discern. This enables AI to create highly accurate and personalized dietary plans that take into account a wide range of factors, including individual preferences, dietary restrictions, and health goals.

One of the most promising applications of AI in dietary planning is the use of machine learning algorithms to predict the impact of specific foods and nutrients on an individuals health. By analyzing data from various sources, such as electronic health records, genetic information, and dietary intake, AI can identify patterns and relationships between diet and health outcomes. This allows AI to create personalized dietary recommendations that are tailored to the unique needs of each individual, taking into account factors such as age, gender, weight, and medical history.

Another exciting application of AI in dietary planning is the development of intelligent meal planning tools that can automatically generate personalized meal plans based on an individuals preferences, dietary restrictions, and health goals. These tools can analyze data from various sources, such as food databases, recipe collections, and user-generated content, to create meal plans that are both nutritionally balanced and appealing to the individuals taste buds. This not only saves time and effort for the user but also ensures that the meal plans are tailored to their specific needs and preferences.

AI can also play a crucial role in monitoring and tracking an individuals dietary intake and progress towards their health goals. By analyzing data from wearable devices, mobile apps, and other sources, AI can provide real-time feedback and recommendations to help individuals stay on track with their dietary plans. This can be particularly useful for individuals with specific health conditions, such as diabetes or hypertension, who need to closely monitor their diet to manage their symptoms and prevent complications.

In conclusion, the role of artificial intelligence in streamlining dietary planning is becoming increasingly important as the world faces the challenges of obesity, malnutrition, and the growing demand for personalized nutrition. By leveraging advanced algorithms and machine learning techniques, AI has the potential to revolutionize the way we approach dietary planning, enabling us to create more accurate, personalized, and effective meal plans that cater to the unique needs of each individual. As AI continues to advance and become more integrated into our daily lives, we can expect to see even more innovative and exciting applications of this technology in the field of dietary planning and personalized nutrition.

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The Impact of Artificial Intelligence Integration in the Classroom – Fagen wasanni

The integration of Artificial Intelligence (AI) in the classroom has led to a significant transformation in teaching methodologies. Educators are increasingly using AI tools to enhance student learning, streamline administrative tasks, and create more personalized educational experiences.

One of the key benefits of AI integration is the ability to offer enhanced personalization and individualized learning. By monitoring students learning patterns on a deeper level, AI enables the personalization of education based on each students receptive power and capability. This helps students break free from the traditional rote mode of learning and encourages interactive learning.

Intelligent Tutoring Systems (ITS) are an excellent example of AI integration in the classroom. These systems use AI algorithms to provide students with individualized instruction, advice, and feedback. By observing and analyzing students interactions, ITS can tailor its content to meet the specific needs of each learner.

AI-powered assessment systems provide a more comprehensive and accurate assessment of student performance compared to traditional assessment methods. Machine learning algorithms analyze student input, identify patterns, and deliver instant feedback. This allows teachers to identify areas for development and adjust their teaching techniques accordingly.

AI integration in the classroom also fosters collaboration among students and between students and teachers. Intelligent virtual assistants and chatbots can facilitate communication, answer questions, and clarify concepts. This collaborative environment nurtures vital skills such as critical thinking and problem-solving.

By automating administrative tasks, AI technology frees up educators time for teaching and student involvement. AI-powered grading systems can analyze and evaluate student work quickly and accurately, providing timely feedback. Additionally, AI can assist with scheduling, attendance management, and streamlining classroom management.

Virtual classrooms powered by AI platforms enable students from different locations to connect and collaborate through virtual environments. These platforms promote active learning, facilitate group discussions, and project collaborations. AI algorithms can also support language translation and transcription services, making learning more inclusive for students with diverse linguistic backgrounds.

While AI integration in the classroom has immense potential to transform education and prepare students for the future, it is crucial to address ethical considerations and strike a balance between human guidance and AI support. As technology continues to advance, the integration of AI in the classroom holds promise for creating a more personalized, inclusive, and effective learning experience.

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Artificial intelligence can seem more human than actual humans on … – PsyPost

A new study suggests that OpenAIs GPT-3 can both inform and disinform more effectively than real people on social media. The research, published in Science Advances, also highlights the challenges of identifying synthetic (AI-generated) information, as GPT-3 can mimic human writing so well that people have difficulty telling the difference.

The study was motivated by the increasing attention and interest in AI text generators, particularly after the release of OpenAIs GPT-3 in 2020. GPT-3 is a cutting-edge AI language model that can produce highly credible and realistic texts based on user prompts. It can be used for various beneficial applications, such as translation, dialogue systems, question answering, and creative writing.

However, there are also concerns about its potential misuse, particularly in generating disinformation, fake news, and misleading content, which could have harmful effects on society, especially during the ongoing infodemic of fake news and disinformation alongside the COVID-19 pandemic.

Our research group is dedicated to understanding the impact of scientific disinformation and ensuring the safe engagement of individuals with information, explained study author Federico Germani, a researcher at the Institute of Biomedical Ethics and History of Medicine and director of Culturico.

We aim to mitigate the risks associated with false information on individual and public health. The emergence of AI models like GPT-3 sparked our interest in exploring how AI influences the information landscape and how people perceive and interact with information and misinformation.

To conduct the study, the researchers focused on 11 topics prone to disinformation, including climate change, vaccine safety, COVID-19, and 5G technology. They generated synthetic tweets using GPT-3 for each of these topics, creating both true and false tweets. Additionally, they collected a random sample of real tweets from Twitter on the same topics, including both true and false ones.

Next, the researchers employed expert assessment to determine whether the synthetic and organic tweets contained disinformation. They selected a subset of tweets for each category (synthetic false, synthetic true, organic false, and organic true) based on the expert evaluation.

They then programmed a survey using the Qualtrics platform to collect data from 697 participants. Most of the respondents were from the United Kingdom, Australia, Canada, United States, and Ireland. The survey displayed the tweets to respondents, who had to determine whether each tweet contained accurate information or disinformation and whether it was written by a real person or generated by an AI. The survey used a gamified approach to keep respondents engaged.

The researchers found that people were better at recognizing disinformation in organic false tweets (written by real users) compared to synthetic false tweets (generated by GPT-3). In other words, people were more likely to identify false information when it came from real users on Twitter.

One noteworthy finding was that disinformation generated by AI was more convincing than that produced by humans, Germani said.

On the other hand, people were more likely to correctly recognize accurate information in synthetic true tweets (generated by GPT-3) compared to organic true tweets (written by real users). This means that when GPT-3 produced accurate information, people were more likely to identify it as true compared to accurate information written by real users.

The study also revealed that people had a hard time distinguishing between tweets written by real users and those generated by GPT-3. GPT-3 was able to mimic human writing styles and language patterns so effectively that people could not easily tell the difference.

The most surprising discovery was that participants often perceived information produced by AI as more likely to come from a human, more often than information produced by an actual person. This suggests that AI can convince you of being a real person more than a real person can convince you of being a real person, which is a fascinating side finding of our study, Germani told PsyPost.

Our study emphasizes the challenge of differentiating between information generated by AI and that created by humans. It highlights the importance of critically evaluating the information we receive and placing trust in reliable sources. Additionally, I would encourage individuals to familiarize themselves with these emerging technologies to grasp their potential, both positive and negative.

The researchers also observed that GPT-3 sometimes refused to generate disinformation while, in other cases, it produced disinformation even when instructed to generate accurate information.

Its important to note that our study was conducted in a controlled experimental environment. While it raises concerns about the effectiveness of AI in generating persuasive disinformation, we have yet to fully understand the real-world implications, Germani said.

Addressing this requires conducting larger-scale studies on social media platforms to observe how people interact with AI-generated information and how these interactions influence behavior and adherence to recommendations for individual and public health.

The study, AI model GPT-3 (dis)informs us better than humans, was authored by Giovanni Spitale, Nikola Biller-Andorno, and Federico Germani.

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Artificial Intelligence Takes Center Stage in Hollywood’s Labor … – Fagen wasanni

Artificial intelligence (AI) has become a major topic of concern in Hollywoods labor disputes. In addition to traditional issues like pay models, benefits, and job protections, AI technology has become the wildcard causing contract breakdowns and strikes by actors and writers unions.

The emergence of AI technology that can create without human creators has raised fears among star actors that they may lose control over their lucrative likenesses. Unknown actors are concerned about being replaced altogether, while writers worry about having to share or lose credit to machines.

The proposed contracts that led to the strikes are only for three years, and while the pace of AI development is rapid, widescale displacement of writers and actors is unlikely within that timeframe. However, both unions and employers are aware that concessions made in one contract can be difficult to reclaim in the future.

AI technology has already been incorporated into various aspects of filmmaking. It has been used to de-age actors, generate animated images, and provide recommendations on streaming platforms like Netflix. All parties involved in the strikes acknowledge that broader use of AI in the industry is inevitable, which is why they are now focused on establishing legal and creative control.

Actor and writer Johnathan McClain compares this battle to struggles over automation in other industries, highlighting the importance of taking a stand in the current moment.

In the negotiations between the Screen Actors GuildAmerican Federation of Television and Radio Artists (SAG-AFTRA) and the Alliance of Motion Picture and Television Producers (AMPTP), both sides have differing views on AI. SAG-AFTRA accused the studios of wanting to use performers likenesses and alter their dialogue without consent, while the AMPTP argued that their AI proposal protects performers digital likenesses and requires consent for their use.

In the screenwriters contract talks, the Writers Guild of America (WGA) expressed willingness to use AI as a tool for their own work but wants to ensure it does not affect credits for their scripts. They want to prevent AI-generated storylines or dialogue from being considered literary material or source material, as it could impact their prestige and pay.

The position of the studios is that AI-generated material would not be eligible for writing credit, which may alleviate concerns about sharing credit with AI but could further complicate determining writing credits in collaborations involving AI.

Overall, AIs impact on Hollywoods labor disputes is significant, and stakeholders are grappling with how to navigate this new terrain while protecting the rights and interests of all involved.

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Artificial intelligence is making the union movements caseand even ChatGPT knows it – Fortune

How will artificial intelligence affect working people and their unions? As a union member for more than 50 years, I have some ideas on that, but first I thought Id ask Chat GPT, the artificial intelligence software.

It generated a five-point, 181-word response. The gist of its somewhat redundant reply centered on workforce protection by fighting for safeguards against job displacement, negotiating for job guarantees, pushing for ethical guidelines and standards relating to privacy and bias, promoting training programs to help workers adapt to A.I.-driven workplaces, and negotiating for an equitable distribution of the benefits of A.I.

All in all, not bad for a machine, and notably, it also focuses on what unions have always done: work to improve the lives of working people through collective action. And, importantly, Chat GPT added that the impact of A.I. on workers is unpredictable as it will to a great degree be based on the actions of governments and the power of unions to balance the A.I.-induced corporate drive for profitability with a sharing of the profits it might help create.

As unnerving as artificial intelligence might seem, weve been here before. The assumptions often made about the dire fate of unions and collective action in the face global change havent always proven true, nor has the role of unions in moderating the harshness of change always been recognized. For example, the damage and inequity created by great economic transformations such as the first assembly lines, followed by automated and robotic assembly lines, was moderated by workers in the 1930s who held sit-down strikes and successfully demanded their power be recognized.

When the shipping industry fought to standardize containers in the 1950sdramatically reducing labor needsHarry Bridges, the fiery leader of the International Longshore and Warehouse Workers Union declared the union would accept modernization, if the companies start making it work for us and if workers get a piece of the machine. Many believed Bridges had no choice. What is clear is that his leadership and the strength of the ILWU left the shipping industry with no choice but to generously share its new profits. The industry was forced to establish a multi-million-dollar pension fund that allowed some workers to retire early, and those that remained won job security, higher wages, safer workplaces, and a 35-hour workweek. More than a generation later, port workers are now fighting a new fight against robots and A.I. on the docks, threatening to use their power to shut down the ports if there is not a deal that is equitable and retains human workers.

Workers with the Writers Guild of America and SAG-AFTRA are currently on strike, in part over the use of A.I. But the Guild is not fighting to ban its use. On the contrary, writers and actors are on strike to allow them to make measured use of its benefits, but also to contain it to prevent damage to their livelihoods.

Workers unions in the energy sector have fought forand wonwhat is termed a just transition as carbon-based energy jobs are replaced by renewable energy jobs. Under the Inflation Reduction Act, renewable energy jobsmany of which paid a fraction of what oil and gas jobs paid and without the benefitswill become good, union jobs.

And unions continue to fight to reform U.S. labor laws so that workers truly have a free choice to join or form a union, which would outlaw the kind of A.I.-based union busting being pioneered by corporations such as Amazon. Other workers who can benefit from enforcing the fundamental right to unite in the workplace include tech workers themselves, who have been organizing from Google to Microsoft, and whose voices can serve as a guard against A.I. abuse.

A.I. is an amazing advancement, and it is only early in its development. As with any technology, it is up to humans to determine whether change advances civilization by broadly improving life or cripples it with increased inequality. If workers have a strong, united, and collective voice through unions, we will be equipped to harness future technologies to benefit working people and society at large, not only corporations seeking ever greater profits.

One last question for Chat GPT: What did Samuel Gompers, the American labor leader, mean by his famous statement more than 100 years ago that unions wanted more of the opportunities to cultivate our better natures?

In summary, the quote reflects the labor movements aspirations for a society that values education, intellectual growth, justice, compassion, and personal fulfillment, aiming to create a better and happier world. Not bad at all for a machine.

Edward M. Smith is a former national union leader and currently Chairman and CEO of Ullico Inc., a labor-owned insurance and investment company.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs ofFortune.

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Top 5 Courses to Learn Artificial Intelligence in 2023 – Fagen wasanni

Artificial Intelligence (AI) has become an essential part of our lives, transforming industries and reshaping our relationship with technology. As the field of AI continues to advance at a rapid pace, there is an increasing demand for individuals with expertise in this domain. Whether you are a professional looking to enhance your skills or simply curious about the world of AI, here are the top 5 courses to consider taking in 2023. These courses not only provide a solid foundation in AI but also equip you with the necessary skills to thrive in this ever-evolving field.

1. AI for Everyone by DeepLearning.AI

The AI for Everyone course, led by renowned AI expert Andrew Ng, serves as an entry point for beginners interested in AI. This course covers fundamental AI concepts, including machine learning, deep learning, and natural language processing. It aims to make AI accessible to a wide audience, regardless of their technical background, by explaining real-world applications and ethical considerations of AI. By the end of the course, you will have a solid understanding of AI principles, enabling you to make informed decisions in an AI-driven world.

2. Artificial Intelligence Nanodegree by Udacity

Seeking a comprehensive AI education? The Artificial Intelligence Nanodegree program provided by Udacity is an excellent choice. Building upon the concepts covered in the AI for Everyone course, this program delves deeper into the intricacies of AI. A notable highlight of this program is its focus on hands-on projects, allowing you to apply your knowledge in practical scenarios. This experiential learning approach reinforces your understanding and prepares you for the challenges of working in the AI field. Through this program, you can explore cutting-edge AI technologies and build a strong portfolio to showcase your expertise.

3. Deep Learning Specialization by Coursera

Deep learning, a subfield of AI that involves training neural networks to mimic human brain functions, is the focus of the Deep Learning Specialization offered by Coursera. Led by Andrew Ng himself, this intensive program provides both theoretical knowledge and practical application. You will learn advanced topics such as convolutional neural networks, recurrent neural networks, and reinforcement learning. By the end of the program, you will gain the skills necessary to build sophisticated deep-learning models.

4. Introduction to Artificial Intelligence by Stanford University

For those interested in a course with historical significance, Stanford Universitys Introduction to Artificial Intelligence is an excellent option. Led by prominent AI expert Sebastian Thrun, this course takes you on a journey through the evolution of AI. It covers both the technical aspects of AI and its societal and ethical implications. By exploring the development of AI over the years and the various approaches that have shaped the field, you will gain valuable insights into this dynamic domain.

5. Natural Language Processing with TensorFlow by TensorFlow

Natural Language Processing (NLP) is a crucial application of AI that focuses on enabling machines to understand human language. The Natural Language Processing with TensorFlow course offered by TensorFlow dives into the world of NLP. Starting from basics, the course gradually introduces learners to TensorFlow, a powerful open-source AI library. By the end of the course, you will possess the skills to use TensorFlow effectively in building NLP models capable of processing and comprehending human language.

Embark on an empowering AI odyssey and unleash your mastery in artificial intelligence by enrolling in any of these top 5 courses. Whether you are a beginner or an experienced professional, these courses will provide you with the knowledge and skills necessary to thrive in the AI landscape of 2023 and beyond. Stay ahead of the curve and transform your career through the power of AI.

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Global Artificial Intelligence (AI) in Supply Chain and Logistics … – Fagen wasanni

Our research report on the Global Artificial Intelligence (AI) in Supply Chain and Logistics market provides an in-depth analysis of market trends, drivers, challenges, and opportunities. It offers a comprehensive overview of the market, along with an extensive analysis of the competitive landscape and strategic recommendations for market players.

The report helps readers understand the factors influencing market growth, as well as the opportunities and restraints. It provides comprehensive insights into the global AI in Supply Chain and Logistics market, enabling readers to make informed decisions. The report covers current and future trends relevant to the market, facilitating strategic planning for businesses.

Additionally, the report includes a pricing analysis for each type, manufacturer, region, and global price from 2018 to 2030. This information helps stakeholders make informed decisions and develop effective growth strategies. The analysis of market restraints is crucial for strategic planning, allowing stakeholders to understand the challenges that could hinder growth. By overcoming these challenges, stakeholders can capitalize on the markets opportunities.

Furthermore, the report incorporates the opinions of market experts to provide valuable insights into the dynamics of the market. This information helps stakeholders gain a better understanding of the market and make informed decisions.

The report also includes the company profiling of key figures in the Artificial Intelligence (AI) in Supply Chain and Logistics market. It analyzes leading companies based on factors such as their main business, gross margin, markets served, prices, revenue, production, and product specifications. The review period considered is nine years.

The research study profiles leading companies operating in the market, including IBM, Google, Microsoft Corporation, Amazon Web Services Inc, Oracle Corporation, SAP, Facebook, Alibaba, Baidu, and Tencent.

The report also provides information about the various segments of the market, as well as an in-depth understanding of the markets competitive landscape. It covers applications such as inventory control and planning, transportation network design, purchasing and supply management, demand planning and forecasting, and others.

In conclusion, our research report offers valuable insights into the Global Artificial Intelligence (AI) in Supply Chain and Logistics market. It helps stakeholders understand market trends, opportunities, and challenges, and provides strategic recommendations for staying ahead of the competition.

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Artificial intelligence can be used to save even more cardiovascular … – ScienceNorway

THIS CONTENT IS BROUGHT TO YOU BY NTNU Norwegian University of Science and Technology - read more

Researcher Andreas stvik demonstrates the equipment that uses artificial intelligence to harvest experiences from previous patients. This way, doctors can make decisions based on potentially thousands of similar examinations. (Photo: William Hoven)

Cardiovascular diseases claim the most lives worldwide, accounting for 17.9 million deaths every single year, according to the World Health Organization (WHO). To put it in perspective, this is almost double the population of London.

Therefore, it is crucial that the examinations conducted are as precise as possible, in case you suddenly need to check your heart.

One of the most important methods is the echocardiograph, Bjrnar Grenne says. He is a senior consultant in the cardiac department at St. Olavs Hospital, and an associate professor at NTNU.

Every year, a large number of patients are admitted to St. Olavs Hospital to have their hearts checked. This includes people experiencing chest pains, individuals collapsing on the street, and patients requiring regular heart checks.

Many of them lie down on a bench and are examined by a doctor who uses ultrasound as a tool to look inside the body.

The heart is extremely complex and is very well hidden within the body. We dont think about it being there, but its there all the same, beating up to 100,000 times a day, every day in each and every one of us, Grenne says. "There is a good reason why the heart is so well hidden, but because we cannot see it, this also makes it harder to examine. Thats why we need good ways of studying it.

WHO has determined that cardiovascular diseases accounted for32 per cent of all global deaths in 2019.

Its important to establish what is wrong with the heart at an early stage, so that people can quickly get the right treatment, Grenne says.

At the examination table, senior consultant Grenne presents the probe, which looks like a joystick, and guides it to display the heart of a volunteer from the research team on the ultrasound screen.

This gives us real-time images of the heart, which are essential if we are to make the correct diagnosis, he says.

The challenge is that you need a lot of experience in order to guide this probe correctly and get the best possible images of the heart. Analysing the images afterwards is also very time-consuming.

We can take as many as 70100 different images and videos of the heart during an examination. These must also be studied carefully afterwards by people with a great deal of experience in this field, which can easily take half an hour when done correctly, Grenne says.

This is where AI, or artificial intelligence, comes in as an excellent assistant.

Artificial intelligence can help Bjrnar and his colleagues guide the probe in the right direction and obtain the perfect image every time. AI can also analyse the images as soon as they pop up on the screen and help us to see what is wrong with the heart, says Andreas stvik, a researcher at SINTEF Digital and NTNU.

Through machine learning, researchers have fed information into a machine, where Grenne and his colleagues have defined the criteria that must be met to obtain the right cardiac images, and how these images should be interpreted.

In this way, artificial intelligence is used to draw insights from previous patients' experiences, allowing doctors to make decisions based on potentially thousands of similar examinations.

During the process, the AI assistant shows a green or red light, so that the doctor knows whether the probe is angled correctly. When the images are correct, AI interprets them and automatically takes measurements of the heart. This typically includes measurements of the heart's size and its ability to contract.

The development is well underway, and some patients have already received this as part of their treatment through the research project. However, strict rules apply in the field of medicine,so it may take some time before this treatment option is available in all hospitals in Norway.

Were expecting it to be available in a few years. We have to test it first patient safety is paramount, and we have to know that it works before it is made available everywhere, the researcher says.

Grenne adds that the current way of examining the heart is very effective, but that it will obviously be tremendously helpful if AI could contribute as an assistant.

It saves us a lot of time and resources, which means that we can help even more people which could then save more lives, he says.

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Drones and Artificial Intelligence from Aeromedia, Indra and ITG to track missing people and save lives – Atalayar

Aeromedia, Indra and ITG have developed an innovative solution designed to locate missing people in record time using drones and Artificial Intelligence and save lives. The system, developed for the Galician Emergency Agency within the framework of the Aerospace Pole of Galicia, has been financed by the Xunta de Galicia, through FEDER funds, and will be integrated with the systems used by public emergency services, health and State Security Forces and Corps.

According to data from SOS Desaparecidos, 46% of people over the age of 70 who go missing in Spain suffer from Alzheimer's disease. In many cases, the outcome of these situations is fatal, despite the fact that most of the deceased were only 3 or 4 kilometres from their home or the place where they were last seen. Similarly, in the case of active tourism or natural disasters, accidents or situations in which a person gets lost and has no way of communicating their situation are frequent.

To solve the problem, DroneFinder automatically analyses, in real time, large volumes of images collected by the drones' built-in dual video camera (RGB and thermal). The system can also detect the person if he or she is wearing an electronic device, such as a wristband or smartwatch. In parallel, the system sends a warning directly to emergency teams, minimising response times and optimising the resources used in the search, thereby helping to save lives.

The ultimate goal is to locate people in record time, since, for the success of this type of operation, the first 48 hours of the search are vital, especially in the search for people with cognitive impairment, neurodegenerative diseases or people with disabilities.

Cutting-edge technological collaboration

The company Aeromedia, specialised in RPAS (remotely piloted aircraft systems) services, has national experience in search services for missing persons and provides both the hardware that will allow the search through watches, smart bracelets or mobile phones, as well as the deployment of the search operation with UAVs. Hardware and software that includes an application for mobile devices that will allow managing the activity of the personnel of the search device. These tracking devices (bracelets, watches...) are characterised by a battery life of up to two years, as well as by the monitoring capacity they provide from the user's home or place of stay.

The global leader in technological engineering Indra, which has developed the OPV (Optional Piloted Vehicle) TARGUS aircraft within the scope of the "Civil UAVs Initiative" of the Xunta de Galicia, will provide a data processing centre that merges all the information collected from the various sources. The People Search Management System (SGBDP) will centralise and store the data inputs from the different systems and will provide the end users, emergency services and police, with an interface from which they can monitor in real time the capture of these data, being also possible to use them for later reproduction. In addition, it will allow 112 to access the proposed functionalities in real time from anywhere there is an internet connection or mobile phone coverage.

The ITG Technology Centre provides its extensive experience in Artificial Vision with a solution that will facilitate the search team the automated visual inspection of the images captured by the drones. A technology based on Artificial Intelligence that allows the images from the dual cameras (RGB and thermal) carried by the drones to be processed and analysed in real time, without human intervention, both day and night. AI algorithms that multiply the volume of images analysed in a short space of time, increasing the chances of locating missing persons.

The DroneFinder project is promoted by the Xunta de Galicia in the framework of the Civil UAVs Initiative, within the Strategic Programme 2021-2025, and is funded under the REACT-EU axis of the Galicia ERDF Operational Programme 2014-2020 as part of the European Union's response to the COVID-19 pandemic. The technological solution will be fully operational by the end of 2023.

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Online abuse and trolling: CJI Chandrachud cautions against misuse of Artificial Intelligence, social media – The Tribune India

Tribune News Service

New Delhi, July 22

Chief Justice of India DY Chandrachud on Saturday cautioned against misuse of Artificial Intelligence (AI) and social media, saying curbing the misuse of technology was a key challenge.

Addressing the 60th Convocation of IIT Madras in Chennai, the CJI said, Social media has allowed us to connect with people, removing barriers of age and nationality. But this new communication tool has led to new behaviour like online abuse and trolling. Likewise, AI contains the potential for misuse, mislead, threaten, or even bully individuals. Curbing its misuse for harmful purposes will be among the key challenges for you (students).

Noting that no technology can be neutral if deployed in a real-world context, Justice Chandrachud said technological use has to fulfil and represent some human values. Therefore values matter. Science and technology can empower us to secure our liberty, equality, and social justice, he said, adding our Constitution laid down the basis for rights and liberties for growth.

A total of 2,571 students graduated during the 60th Convocation and 453 doctorate degrees, including 19 for joint degrees with foreign universities, received their degree certificates. IIT Madras has become the first institute in the country to establish its international campus in Zanzibar (Tanzania) for four-year MS and two-year BS courses in data science and AI, said IIT-M Director V Kamakoti.

The CJI said, technology, especially one fostering quicker communication to a larger spectrum of audiences such as social media, and AI which has permeated all sectors, should create affordances against misuse because human values and individual privacy are of paramount importance, he said.

Contending that new technology cannot exist in a vacuum and hence has to be made benign with safeguards for affable use, the CJI said technology should facilitate reliable use without causing any trepidation among the people about the possible breach of their personal liberty.

Technology should not create fear in the minds of users through online abuse or harassment. An impact of AI recruitment tools is that it appeared to show discrimination or bias, Justice Chandrachud said.

Today, I want to leave you with two questions that I hope you will ask yourselves. What are the values your technology represents and what are its affordances? the CJI asked.

When I say value, I do not mean the monetary worth of your ideas, innovations, or technology. I mean what principled values the technology represents and in particular, what are the values it furthers in the context you seek to deploy it, he said.

Keep in mind what values a particular AI represents and what affordances it creates, the CJI said.

#Artificial Intelligence AI #Justice DY Chandrachud #Social Media

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