CDP leads Strategic Investments in Italy 2025, driving sustainability, innovation, and economic growth for a stronger future.

Generative AI and Patents: trends, challenges, and leaders reshaping innovation across industries.

Revolutionizing uncertainty estimation in text generation with G-NLL: efficient, scalable, and ideal for LLM applications in business and AI

Human-Machine Synergy: 'The Year in Tech 2025' reveals the collaboration between humans and AI, reshaping business and driving innovation.

Generative Agent Simulations model behavior through interviews, revolutionizing social science research and experimental applications.

Human creativity and AI: exploring challenges and perspectives, blending culture, technology, and human generative potential.

AI in Defense: Ethical principles, challenges, and innovations shaping military strategies and human-AI collaboration. Learn more.

Generative AI impacts neuroscience, security, and governance, guiding strategic choices across industries.

Generative AI meets globalization: explore trends, opportunities, challenges, and strategies for businesses in a rapidly evolving world.

Generative Artificial Intelligence is revolutionizing companies: techniques, strategies, and new opportunities to innovate your business.

Discover how Copyright and Artificial Intelligence coexist, navigating new rules, creative opportunities, and technological transparency.

Generative AI ethics: risks, opportunities, and impacts for businesses. Explore equity, safety, and governance in the digital era.

LearnLM improves educational AI with Gemini, using RLHF to adapt to different needs. It excels in focus and learning personalization.

Large Concept Model (LCM): SONAR and LCM enable multilingual management, zero-shot scalability, and enhanced coherence and stability.

AI Governance in the USA: focus on privacy, security, and innovation with ethical rules and inclusive research.

Large Language Models: from Transformers to multimodal LLMs, progress and challenges include ethics, efficiency, and sustainability.

AI agents evolve towards autonomy, requiring governance, data audits, and security to ensure efficiency, transparency, and reliability.

Data Preprocessing audits ensure data quality and fairness in AI models, reducing errors and bias to deliver more reliable and solid results

Chimera uses ML ensemble models for more accurate retrosynthesis, reducing uncertainties and improving the synthesis of complex molecules.

AI in business: By 2025, AI will enhance operations, boost innovation, and foster sustainability with solid strategies and responsible use.