AINews24

28/12/2024

We wish you a "Happy New Year" and thank you for following!

19/11/2024

Artificial intelligence is becoming an integral part of decision-making processes across public and private sectors. By understanding how AI works and how we can contribute to its impartiality, we can build trust and ensure responsible development.

How to Ensure Artificial Intelligence is Impartial and Reliable
In a world shaped by rapid technological advancements and an overwhelming flow of information, the question of how to ensure that artificial intelligence (AI) operates impartially and reliably is more relevant than ever. This involves not only how AI evaluates information but also how we, as users, present and share information with AI systems. For reflective individuals, understanding both the potential and the limitations of AI is essential.

How Can AI Determine What is Correct Information?
AI evaluates information by analyzing data sources, cross-checking with reputable references, and assessing the methodologies behind the data. Key principles include:

Cross-Verification: AI compares information across multiple credible sources to identify patterns and confirm claims.
Transparency: The origin and methodology of data are critical for AI to gauge its reliability.
Scientific Consensus: When numerous independent sources support a claim, the likelihood of its accuracy increases.
How Can We Contribute to Impartial AI?
To ensure AI evaluates information correctly, users must present data in a clear and structured manner:

Share Raw Data: Provide AI with access to raw data and original sources, not just interpretations.
Highlight Uncertainty: If information is hypothetical or incomplete, make this explicitly clear.
Avoid Loaded Language: Present information neutrally to minimize unintentional bias.
How to Address Fears and Misunderstandings About Technology?
Many people are concerned about how new technologies, like 5G or AI, may impact health and society. Here are some strategies to inform and reassure:

Listen and Understand: Take people’s concerns seriously and empathize with their fears.
Share Facts: Use trusted sources and visual explanations to demystify complex topics.
Encourage Critical Thinking: Inspire people to evaluate information from multiple sources independently.

This article is a starting point for helping reflective readers navigate the complex intersection of AI and technology. Feel free to share it to spark meaningful and informed discussions!

08/10/2024

🤔 A seminar lecture that makes us wake up and think again now!

🤖 AI is here, and it’s evolving faster than we ever imagined. How do we adapt when the rules of the game are shifting under our feet? Is the future one of...

29/08/2024

We sharing. Not uncritically, but for debate ....

10 Things They're NOT Telling You About The Coming AI (Must Watch!)Have you ever wondered what hidden truths are being kept from you about the coming AI revo...

28/08/2024

18/03/2024

26/01/2024

AI's Tangible Impact on Special Education Adaptations.
The intersection of Artificial Intelligence (AI) and special education presents a transformative opportunity to revolutionize how we cater to the unique needs of students requiring tailored pedagogical adaptations. This article delves into concrete examples of how AI is currently benefiting students with special needs and envisions a future where technology becomes a key ally in providing inclusive, adaptive education.

Adaptive Learning Technologies in Action:
Presently, AI-powered adaptive learning platforms, such as DreamBox, analyze students' progress and adjust content difficulty accordingly. Looking ahead, these platforms might evolve to employ AI algorithms that not only adapt content but also identify and address specific challenges faced by students with various learning abilities, offering targeted support.

Proactive Personalized Interventions:
Consider a future where AI algorithms can predict and respond to individual learning needs in real time. For instance, an AI system could identify signs of struggling or frustration, providing instant adaptive interventions tailored to the student's unique learning style, ensuring a more personalized and supportive educational experience.

Virtual Learning Assistants for Specialized Support:
Imagine a virtual learning assistant powered by AI, designed to offer specialized support for students with special needs. This could involve adapting instructions, providing additional resources, or even facilitating communication through tailored interfaces, enhancing the inclusivity of the learning environment.

Sensory-Friendly Learning Environments Enhanced by AI:
AI-driven technologies may evolve to create dynamic, sensory-friendly learning environments. For instance, smart classrooms equipped with AI could adjust lighting, temperature, and other environmental factors in real time, creating an optimal setting for students with sensory processing disorders to thrive academically.

Interactive AR and VR Tools Tailored for Special Education:
Advancements in Augmented Reality (AR) and Virtual Reality (VR) technologies hold promise for special education. Picture interactive simulations designed for students with special needs, providing hands-on experiences to enhance understanding and engagement in a way that is specifically tailored to their learning requirements.

Challenges and Considerations for Inclusive AI:

Continuous Research and Development:
Ongoing research and development efforts are crucial to refine AI technologies continually. This ensures that these technologies remain relevant and effective in meeting the diverse and evolving needs of students with special requirements.

User-Centric Design:
The development of AI applications for special education should prioritize user-centric design. Involving educators, students, and specialists in the design process ensures that technologies are intuitive, accessible, and genuinely beneficial for those with special needs.

Teacher Training and Collaboration:
Comprehensive training programs should equip educators with the skills needed to leverage AI tools effectively in the special education context. Fostering collaboration between technology and human expertise is key to successful implementation.

Conclusion:
Envisioning an inclusive future, the tangible impact of AI in special education holds immense promise. By highlighting these examples, we can see the potential for AI to become a powerful tool in providing adaptive, effective, and inclusive education for all students, regardless of their unique learning needs.

13/01/2024

AI has the potential to significantly assist the elderly in their daily lives in various ways:

Health Monitoring:
AI can be utilized to monitor the health of the elderly by analyzing biometric data. This may involve sensors measuring blood pressure, pulse, or other vital health indicators. If any deviations are detected, the system can alert healthcare professionals or family members.

Fall Prevention:
AI can contribute to reducing the risk of falls by analyzing movement patterns and issuing warnings if abnormal activities or risk factors are identified.

Smart Homes:
Smart home technology and AI can be integrated to make homes more accessible and secure for the elderly. This includes the automation of lights, thermostats, doors, and other devices to make it easier for the elderly to navigate their homes.

Personal Assistance:
AI-powered virtual assistants can provide personal assistance by answering questions, reminding about medications, aiding in daily planning, and providing other relevant information.

Communication:
AI-driven video conferencing apps can help the elderly stay in touch with family and friends, especially for those living far away. This can help combat isolation and loneliness.

Health Guidance:
AI can offer health information and guidance on medications, diet, and exercise tailored to individual needs and health conditions.

Memory Assistance:
For individuals with dementia or other memory challenges, AI-based applications can assist in organizing daily tasks, providing reminders, and offering support to maintain independence.

Transportation Assistance:
AI-driven transportation solutions can help the elderly in booking and organizing transportation, enabling them to maintain mobility.

It's crucial to emphasize that the implementation of AI technology should be done with a focus on privacy and in collaboration with the elderly to ensure that the technology is tailored to their needs and preferences. Additionally, there should be alternatives for those who prefer not to use or have access to such technology.

Photo/illustration: Canva + NetBiz & ;Media

31/12/2023

We in Al News24 from NetBiz & Media wish you a "Very Happy New Year"!
Thank you for following us in 2023. A lot of exciting things lie ahead of us in 2024.

31/12/2023

Who will be the best AI Universities in 2024? Who will be the leader in Europe?
Here are some of the top universities known for their excellence in artificial intelligence education today:

Massachusetts Institute of Technology (MIT): MIT has a strong computer science department with a focus on artificial intelligence, offering various courses and programs in the field.

Stanford University: Stanford has been a pioneer in AI research, and its AI Lab has contributed to numerous breakthroughs in the field.

University of California, Berkeley: Berkeley is renowned for its leadership in computer science and AI, providing a range of courses and research opportunities.

Carnegie Mellon University: CMU is known for its strengths in machine learning and robotics, making it a leading institution for AI research and education.

University of Oxford: Oxford has a strong reputation in computer science and mathematics, offering several programs in artificial intelligence.

ETH Zurich: ETH Zurich in Switzerland has a recognized computer science department and offers advanced AI study programs.

University of Toronto: Toronto is home to the renowned Vector Institute for AI, and the university has been at the forefront of AI research.

National University of Singapore (NUS): NUS is a leading university in Asia and also offers strong programs in AI.

It's important to note that rankings and recommendations can vary over time, and it's advisable to research specific programs, faculty expertise, and research opportunities at each university to find the best fit for your interests. Sometimes, lesser-known universities may also have excellent AI programs.

30/12/2023

Is the AI training based on not legal use of information?

29/12/2023

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29/12/2023

What will not AI be used for as we see the plans today in 2023?
While AI has proven to be powerful and versatile, there are some limitations and challenges that currently restrict its use as we envision it today. Some of these limitations include:

Lack of Understanding and Awareness: AI systems often lack a fundamental understanding and awareness of the world around them. They can perform specific tasks based on patterns in data, but they do not have a deep understanding of context or the ability to comprehend at the level of humans.

Lack of Creativity and Emotional Intelligence: AI may excel at performing tasks based on existing data, but it often lacks creativity and emotional intelligence. It cannot generate original ideas in the same way humans can, and it doesn't understand complex emotional nuances as humans do.

Ethical Challenges: AI systems are only as good as the data they are trained on, and they can inherit and amplify biases and prejudices present in that data. This can lead to unfair or discriminatory outcomes. Developing ethically robust AI systems is an ongoing challenge.

Missing General Intelligence: While AI can be highly specialized and proficient in certain tasks, it lacks general intelligence and versatility that humans possess. Humans can easily adapt to new situations, learn from experience, and handle complex tasks in a more holistic manner.

Security Risks: AI systems can be vulnerable to attacks, manipulation, and misuse, especially in the case of autonomous systems and systems making impactful decisions in society.

Complexity and Resource Requirements: Some AI algorithms require large amounts of data and computational power, making them expensive to develop and maintain. Implementing AI may also demand significant investments in infrastructure and expertise.

Lack of Interaction and Human Contact: While AI can efficiently perform many tasks, it cannot replace the human experience, interaction, and empathy that arise through direct human contact.

Although AI has its limitations, ongoing research and development in this field are likely to overcome some of these challenges in the future. Nevertheless, it is crucial to be aware of these limitations and handle them responsibly when implementing AI technology.

25/12/2023

To effectively navigate the transformative impact of AI on the media industry by 2025, there is a pressing need to enhance specific skill sets among professionals. The advent of AI presents both challenges and opportunities, necessitating a proactive approach to skill development.

Data Literacy:
As AI heavily relies on data, professionals in the media industry should bolster their data literacy skills. This includes the ability to understand, interpret, and leverage data effectively. Competence in data analysis tools and platforms will be crucial for extracting actionable insights from the vast datasets generated by AI applications.

AI and Machine Learning Proficiency:
Media professionals will benefit from a foundational understanding of AI and machine learning principles. While not everyone needs to be a machine learning expert, a grasp of basic concepts is essential for informed decision-making, especially in roles related to content creation, audience engagement, and data analytics.

Content Strategy and Creativity:
AI may automate certain aspects of content creation, but the human touch in terms of creativity and strategy remains irreplaceable. Professionals should focus on honing their creative thinking, storytelling, and content strategy skills. This involves understanding how to leverage AI as a tool to enhance, rather than replace, creative processes.

Ethics and Responsible AI:
With the increasing role of AI in decision-making processes, media professionals need a strong ethical foundation. This includes an awareness of potential biases in AI algorithms and a commitment to ensuring fairness and transparency. Competence in designing and implementing responsible AI practices will be paramount.

Adaptability and Continuous Learning:
The rapid evolution of AI technologies requires professionals to be highly adaptable and committed to continuous learning. Staying abreast of advancements in AI, attending relevant training programs, and embracing a mindset of lifelong learning will be essential to remain effective in the dynamic media landscape.

Cross-Disciplinary Collaboration:
AI implementation often involves collaboration between different teams and disciplines. Professionals should cultivate skills in interdisciplinary collaboration, working seamlessly with data scientists, engineers, and other specialists to integrate AI solutions into media workflows.

Communication Skills:
Effectively communicating AI-related concepts to both technical and non-technical stakeholders is crucial. Media professionals should develop strong communication skills to convey the implications, benefits, and challenges of AI technologies to diverse audiences, including decision-makers, content creators, and the general public.

By prioritizing the development of these competencies, media industry professionals can not only harness the potential of AI but also contribute to shaping an ethically responsible and innovative future for media and communication.

11/12/2023

Human Competencies Unaffected by the AI Future:
In our increasingly technological world, concerns about automation and artificial intelligence (AI) have raised uncertainties about job security across various industries. However, there are several professions that appear to be less vulnerable to the impact of AI. As automation continues to advance, there are aspects of human intelligence and creativity that machines cannot easily replicate. This short article explores some professions likely to remain relevant and stable in the face of the growing use of AI.

Creative Professions:
Artists, writers, musicians, and designers all rely heavily on human creativity. While AI systems have demonstrated the ability to generate art and music, there remains something unique about the human capacity to create and express emotions through artistic works.

Interpersonal Relationships:
Professions requiring empathy, compassion, and human interaction, such as nurses, psychologists, and social workers, are less likely to be entirely replaced by machines. Building interpersonal relationships and handling complex emotions are areas where humans still outperform AI.

Knowledge-Specific Professions:
While AI can perform tasks based on vast datasets, many professions require a deeper understanding and contextual knowledge. Lawyers, researchers, and specialized consultants working within specific domains are likely to have a competitive advantage due to their ability to combine experience and expertise.

Creative Problem Solving:
Professions involving creative problem-solving, such as engineers, architects, and innovators, will continue to require human insight and inventiveness. Tackling unfamiliar problems and thinking outside the box are qualities that are challenging to fully automate.

Manual Expertise:
Craftsmen and professionals skilled in practical abilities, such as carpenters, electricians, and plumbers, are less likely to be affected by AI. Precision and craftsmanship are qualities that humans still bring to the table in a unique way.

Conclusion:
While automation and AI continue to transform the job market, it is crucial to recognize that certain professions cannot be easily replaced by machines. Human creativity, empathy, specific knowledge, and manual skills are all elements that give humans an edge over AI. Therefore, focusing on the development of such skills is essential to ensure that the workforce remains relevant and resilient in the face of technological changes in the future.

11/12/2023

Google unveiled its most advanced and versatile AI model, Gemini. However, it has come to light that the demonstration video showcasing its capabilities was, in fact, misleading. ?!

Google aimed to highlight the power of its new AI model, Gemini. The video depicted an impressive conversation between Gemini and a person, where Gemini seemed to respond seamlessly to combined speech and video. Complex image recognition and analysis were demonstrated by Gemini in a matter of seconds.

However, Google, in a surprising revelation on their own YouTube video, admitted that the conversation portrayed in the video did not occur as implied.

"For the purposes of this video, the latency has been reduced, and Gemini responses have been shortened," reads the disclaimer beneath the YouTube video.

Google reportedly confessed to Bloomberg that the interaction with Gemini did not take place as a spoken conversation but was instead assembled from a series of still images and video recordings. Text prompts were then generated to which Gemini provided responses.

"We created it to inspire developers," stated Orial Vinyals, research lead and head of deep learning at Google DeepMind, on X/Twitter.

On Google's developer blog, they posted the text prompts and still images that were used to guide Gemini, along with the responses it gave.

The actual dialogue between Google's developer and Gemini occurred through images and text.

During a closed press meeting before the official launch, Google presented three different models of Gemini: Nano, Pro, and Ultra. The most powerful version, Ultra, is currently not available. The Pro version of Gemini was introduced as an upgrade to Google's AI chatbot Bard, but it is only available in English and in 170 countries.

When comparing Gemini to OpenAI's ChatGPT during the press meeting, Google focused on three models of Gemini but avoided comparing the Pro version with OpenAI's latest model, ChatGPT 4.0. They only sought to draw comparisons with the earlier model, 3.5.

However, an examination of the comparison model released by Google reveals that the Pro version of Gemini performs worse in several aspects compared to ChatGPT 4.0, as opposed to ChatGPT 3.5. The Ultra version is purportedly stronger than the 4.0 model, but according to Bloomberg, the lead is very narrow, and OpenAI could potentially catch up with Google in the next update.
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Gemini is our natively multimodal AI model capable of reasoning across text, images, audio, video and code. This video highlights some of our favorite intera...