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.

Industrial robot selection: CRITIC-VIKOR handles uncertainties with fuzzy analysis and objective weights, providing optimal solutions.

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.

Gigerenzer introduces ecological rationality: adaptive, flexible decisions in complex settings, moving beyond the limits of abstract logic.

PROCESSBENCH evaluates step-by-step errors in AI models, enhancing analysis and oversight in solving complex math problems.

AI Knowledge Circuits: Transformers use internal circuits to manage and update knowledge with targeted, efficient interventions.

EvalGIM evaluates text-to-image models on quality, diversity, and consistency. Modular and flexible, it supports research and business.

Technology 2025: AI and AR transform markets and society. Innovation and regulation must balance to mitigate global risks.

Byte Latent Transformer optimizes raw bytes with dynamic patches, improving performance and reducing flops by 50%.

Tech Trends 2025: AI is the cognitive substrate of the digital future, requiring ethics, transparency, and integration.

Consciousness is linked to biological life, not computation. Today's AI is powerful but lacks conscious mental states.

RevThink Framework enhances LLMs with bidirectional reasoning, achieving high accuracy and scalability.