The blog post explores the Model Context Protocol (MCP) and Function Calling, two methods for integrating Large Language Models (LLMs) with external systems. It highlights their architectural differences, use cases, and security features, emphasizing MCP’s robustness for complex integrations and Function Calling’s flexibility for dynamic task execution.
AI is revolutionizing retail in 2025, with personalized shopping experiences, autonomous checkout systems, and dynamic pricing becoming standard. Retailers are using sophisticated AI technologies to track customer behavior, optimize pricing, and enhance the shopping experience across large and small businesses.
In 2025, AI ethics have become crucial, with businesses facing challenges in algorithmic bias, data privacy, and transparency. Evolving regulatory frameworks and consumer attitudes are reshaping AI governance, emphasizing the need for ethical considerations in technological development and deployment.
In 2025, ethical considerations in AI development are essential, not optional. As AI systems permeate daily life, robust frameworks, transparency, and human-centered approaches are crucial. Addressing algorithmic bias, data privacy, and explainability will shape responsible AI deployment, ensuring technology aligns with societal values and serves the common good.
The Golden State Warriors are revolutionizing basketball with AI technology, introducing advanced training robots at the 2025 All Star Tech Summit. These innovations aim to enhance player performance and strategy while raising questions about the balance between technology and the human element in sports training.
AI mental health tools are revolutionizing therapy, offering affordable, accessible support with promising clinical results. These digital companions provide 24/7 assistance, breaking barriers of traditional therapy while addressing healthcare disparities through personalized, technology-driven interventions.
The landscape of mental health support is transforming with AI tools enhancing accessibility and affordability. AI chatbots like Therabot show promising results in reducing symptoms of depression and anxiety. However, ethical concerns, privacy issues, and the need for human interaction remain critical as we navigate this evolving field.
As climate change accelerates, traditional strategies often fall short. Artificial Intelligence (AI) emerges as a transformative force, enhancing climate modeling, optimizing energy systems, and revolutionizing agriculture. By leveraging AI, we can improve disaster preparedness, promote sustainability, and drive proactive climate action, ultimately fostering resilience in our ecosystems and communities.
Researchers have found that AI models can recommend different treatments based on patients’ socioeconomic and demographic characteristics, potentially perpetuating healthcare inequities. While AI has the potential to transform healthcare, it must be developed responsibly to ensure that patient care remains equitable and effective.
A Japanese company, Sakana AI, has achieved a milestone by having a scientific paper entirely generated by its AI tool, AI Scientist, accepted at a conference. This marks the first instance of an AI-generated paper passing peer review, raising questions about the role of AI in academic research.
