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.

The Virtual Lab combines AI and science to create anti-SARS-CoV-2 nanobodies, speeding up interdisciplinary research with advanced tools.

AI education: China centralized and inclusive, West fragmented and diverse; approaches impacting geopolitics and society.

RARE boosts LLM reasoning with A6, A7 retrieval and RAFS. Open-source models exceed GPT-4. Limits: cost and non-standard metrics.

PaliGemma 2 merges vision and language for OCR, medicine, and chemistry, offering scalability, ethics, and detailed image analysis.

Organized crime and artificial intelligence: AI strengthens crime. Ethical solutions and cooperation are vital to counter these threats.

Machine Learning improves tasks by learning from data, requiring ethical management to reduce biases and social impacts.

AI in Italy: €760M market, 90% large companies’ investments, SMEs 18%. Barriers: skills, costs. Training and incentives needed.

Generative AI is growing, but integrating solutions remains difficult. Trust and speed are keys to success.

Boston Consulting Group: AI maturity The USA and Singapore lead thanks to investments and ethics.

Corporate AI. Only 10% of Italian companies are leaders. Challenges include inadequate infrastructure, fragmented data, and talent gaps.