AI AFRICA DIGITAL PATHFINDERS
MAJESTIC MEDIA APPLICATIONS

Home
Featured
AI Pioneers
AI Africa now
AI Africa Kids
AI Hub
#AI IN BUSINESS
#AI INSIDER
#AI SOVEREIGNTY AFRICA
AI Healthcare

September 27.2026

2 Minutes Read

Exploring TRIBE v2: AI's Next Frontier in Predicting Human Behavior

Woman demonstrates AI brain prediction interface.

Understanding the Groundbreaking AI Predictions

Artificial intelligence has long been viewed as a tool for various applications, but recent advancements push the boundaries of what we thought was possible. The emergence of Meta's TRIBE v2 is notable for its ability to make predictions about brain function and behavior by analyzing neural activity. This technology could revolutionize industries ranging from healthcare to entertainment, allowing for enhanced personalized experiences.

In AI Predicts Your Brain (Meta TRIBE v2 Explained), the discussion highlights the capabilities of TRIBE v2, shedding light on the exciting future of AI in understanding human cognition.

The Science Behind TRIBE v2

The TRIBE v2 platform employs sophisticated machine learning algorithms that can interpret complex brain patterns. At its core, the technology analyzes data gathered from neuroimaging and other sources, enabling it to make educated guesses about an individual's thoughts or reactions. The implications are vast; for instance, in healthcare, this could lead to tailored mental health treatments. In entertainment, it could create more immersive and interactive gaming experiences.

Potential Impact on Society

The predictions made by TRIBE v2 open discussions about privacy, ethics, and the future of AI in society. As we increasingly rely on AI to understand human behavior, concerns about data security and consent become paramount. These discussions are essential as the boundaries between human cognition and machine interpretation blur.

Embracing the Future of AI

Understanding AI technologies like TRIBE v2 is crucial for those interested in the future of innovation. As we move forward, it is vital to engage with these technologies critically and inclusively, ensuring that the benefits of advancements reach all corners of society.

AI Educators

0 Views

0 Comments

Write A Comment

Please complete the captcha to submit your comment.

Related Posts All Posts

Mastering Photorealistic Google Earth Animation: The Journey Unveiled

Update The Quest for Photorealism: What It Takes to Nail Google Earth Animations In the arena of animation and visual effects, creating photorealistic representations is regarded as both an art and a science. The challenge becomes particularly pronounced when it comes to crafting Google Earth animations that are not only visually stunning but also true to life. In the recent video titled How many attempts does it really take to nail a photorealistic Google Earth animation?, a discussion emerges about the intricacies and challenges that animators face in achieving this level of realism.In How many attempts does it really take to nail a photorealistic Google Earth animation?, the discussion dives into the technical intricacies of animation, illuminating key insights that sparked deeper analysis on our end. The Learning Curve of Animation One of the major takeaways highlighted in the discussion is the significant learning curve associated with mastering animation technology. For students and enthusiasts stepping into the sphere of artificial intelligence and animation, it's crucial to grasp that perfection often comes with numerous attempts and iterations. Each failed attempt adds valuable lessons and insights, ultimately guiding creators towards achieving their desired outcomes. The Role of Technology in Animation Success Advancements in technology play a critical role in improving the capabilities of animators. Contemporary tools equipped with AI functionalities empower learners to experiment and refine their techniques more efficiently. For example, software that leverages machine learning can analyze previous attempts and provide feedback, making it easier to achieve photorealism without getting lost in the myriad of details. Social Connections: Sharing Insights in AI Education The rise of platforms like the Futurepedia Youtube Channel creates opportunities for AI students to connect and share experiences. This collaboration fosters a community where learners can benefit from each other’s successes and failures. Such social connectivity can be invaluable for anyone trying to navigate the complexities of animation, as it facilitates the sharing of practical tips and insights. Future Predictions: What Lies Ahead in Animation Technology? As technology continues to evolve, we can anticipate even more groundbreaking innovations in animation. Enhancements in AI-driven creativity tools may streamline the animation process, yielding faster results with consistent quality. The integration of augmented reality and virtual reality presents an exciting frontier, further blurring the line between virtual and physical worlds. Decisions and Actions in Your Animation Journey For aspiring animators, understanding the value of practice and persistence is key. Taking the time to deeply engage with technological advancements, utilizing tools from trusted resources, and connecting with a community can all significantly impact one's learning path. Remember, every attempt builds upon the last, inching you closer to perfection. In conclusion, the exploration of how many attempts are needed to create a photorealistic Google Earth animation invites both reflection and action. The insights gathered from various experiences tell us that while the journey may seem daunting, consistent effort combined with the right educational resources offers the pathway to success. Embrace the challenge; the rewards of ingenuity in animation await.

AI Learners Beware: Astra's Insights Aren't Superior to Experts Yet

Update Exploring AI's Role: Could Astra Redefine Human Expertise? The rapid advancements in artificial intelligence have sparked debates around its efficacy compared to human expertise. In the thought-provoking short video, Astra isn't better than the experts. Yet. But it doesn't have to be, we explore the fine line between AI capabilities and human intuition. AI tools like Astra are designed to assist rather than replace human skill sets; however, understanding the journey to achieving that perfect synergy is crucial.In the video, Astra isn't better than the experts. Yet. But it doesn't have to be, we delve into the complexities of AI and human collaboration, raising essential questions for both AI students and enthusiasts. Unpacking Astra's Potential Astra is a dynamic AI system that leverages data analytics and machine learning to offer insights that can enhance decision-making in various fields. Despite its sophisticated algorithms, the video points out a critical notion that Astra isn't currently superior to human experts. So what does that mean for the future? This brings us to the concept of collaboration rather than competition. AI systems can handle vast datasets at unprecedented speeds, but they lack the nuanced reasoning that expert professionals bring to their respective fields. For example, in healthcare, while Astra can analyze medical journals faster than a human, the interpretation of complex cases still relies heavily on human expertise. Educational Implications for AI Enthusiasts For students and enthusiasts keen on AI, understanding these dynamics is pivotal. Organizations like the Futurepedia YouTube channel serve as great resources for learning about AI's potential applications across various sectors. By leveraging these educational tools, learners can grasp the significance of AI as a facilitator of human capabilities rather than a mere replacement. Future Predictions: A Symbiotic Ecosystem Considering the trajectory of AI development, we can predict a future where tools like Astra evolve into indispensable partners in business and healthcare. Imagine AI functioning as an ever-learning advisor, equipped with the ability to synthesize previous decisions, analyze new data, and provide insights while leaving critical judgements to human specialists. This shift can increase operational efficiency while preserving the need for human touch in key decisions. Conclusion: Bridging the Gap As we stand today, Astra holds immense promise in the realm of AI; however, recognizing that it is not yet a substitute for expert knowledge is essential. As AI students, it is crucial to venture beyond the technological features and consider the implications of these tools on human capabilities in our personal and professional lives. Embrace the learning opportunities offered through platforms like Futurepedia to stay informed about the evolving landscape of AI and how we can strategically integrate these technologies into our future.

AI Image Recognition Showdown: GPT Image 2.5 vs. Gemini 2 Insights

Update Understanding AI's Evolving Nature in Image Recognition In the ever-changing landscape of artificial intelligence, image recognition stands out as a defining battlefield for technological prowess. The recent comparison between GPT Image 2.5 and Gemini 2, highlighted in the video titled GPT Image 2.5 vs. Gemini 2: which model nails a camouflaged spider in one shot?, showcases the stark contrasts and advancements in AI capabilities, particularly in subtly crafted tasks like identifying camouflaged animals.In the video titled GPT Image 2.5 vs. Gemini 2: which model nails a camouflaged spider in one shot?, the exploration of AI's capabilities drives important discussions on advancements that warrant further analysis. Why Image Recognition Matters in AI Development Image recognition technologies drive various applications from autonomous vehicles to medical diagnostics. The ability of an AI model to accurately identify complex patterns, such as the intricate designs of a spider blending into its environment, speaks to its efficiency and sophistication. As AI learners, understanding these advancements not only enriches our knowledge but also prepares us for future innovations in this field. A Closer Look at GPT Image 2.5 vs. Gemini 2 Both models aim to refine their algorithms for better accuracy in processed images, and their performance in recognizing well-camouflaged elements illustrates these advancements. GPT Image 2.5 displays impressive feats in identifying diverse images, but Gemini 2’s edge in detecting subtle differences may amaze even experienced image analysts. This competition is significant; it propels both models to continually improve their algorithms, benefiting various sectors, especially in education and research. Future Predictions: AI's Continued Evolution As technology progresses, we can expect even more impressive gains in AI image recognition models’ capabilities. Future iterations will likely not only distinguish objects more accurately but will also integrate contextual awareness, allowing AI to interpret images in an almost human-like manner. This evolution will enhance the potential for AI educators and students to explore richer teaching materials using vivid visual examples. Embracing the Challenge: Learning from AI Comparisons The exercise of comparing AI models like GPT Image 2.5 and Gemini 2 opens a gateway for AI enthusiasts and students to understand the importance of deploying precise evaluations. Engaging with these comparisons encourages critical thinking and analysis, urging learners to consider an AI’s performance across diverse scenarios. Evaluating not just performance but also context enhances our understanding of user-friendly AI applications. The video GPT Image 2.5 vs. Gemini 2 dives deep into the nuances of image recognition, igniting a critical discussion about which model performs best at identifying complex subjects. In analyzing this topic, we encourage AI students and enthusiasts to explore the latest advancements further.

AI Africa Digital News Nexus

AI is reshaping Africa’s future, and staying informed is essential. Subscribe to updates from leading AI thought leaders, research centers, African tech news platforms, and digital transformation initiatives to stay ahead of the curve. The AI revolution is here. Africa is not just participating; it is leading the way..

COMPANY

Privacy Policy
Terms of Use
Advertise
Contact Us
Menu 5
Menu 6

650-980-9020

Available From 8AM - 5PM

City, State

6749 S. Westnedge Avenue, Portage, MI 49002

Serving Africa & Diaspora Tech Enthusiasts And Educators

ABOUT US

Across Africa, innovative platforms are emerging as beacons of progress.
The ai revolution is paving the way for solutions that transcend traditional news delivery. With tools that seamlessly integrate ai, the continent is moving toward an era of enhanced transparency and efficiency. AI Africa News embodies a vision where each story we add reflects the broader aims to change outdated narratives and promote connectivity.

{"company":"AI AFRICA NEWS MEDIA SOLUTIONS","address":"6749 S. Westnedge Avenue","city":"Portage","state":"MI","zip":"49002","email":"majesticmediasolution@gmail.com","tos":"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","privacy":"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"}