Next-Gen AI

Next-Gen AI: Concepts Tools and Research Perspectives offers a comprehensive exploration of the evolving landscape of Artificial Intelligence. This work delves into the theoretical foundations that underpin modern AI systems highlighting advancements in neural networks deep learning reinforcement learning and generative models. It examines cutting-edge tools and platforms shaping AI research and deployment including frameworks like TensorFlow PyTorch and AutoML. The paper emphasizes transformative real-world applications across diverse sectors-healthcare education finance manufacturing and governance-demonstrating AI's role in automating decision-making enhancing efficiency and fostering innovation. It also addresses critical research challenges such as bias explainability ethics and data governance. By bridging theory tools and practice this work provides valuable insights into the future trajectory of AI and its profound impact on both academic research and industry ecosystems.