Historical Context & Evolution of AI - The field of AI began in 1956 with the vision of simulating human intelligence [1] - AI experienced "AI winters" in the 1970s and 1990s due to unmet promises [3][4] - A turning point arrived in the 2000s with researchers like Jan Leun, Joffrey Inton, and Joshua Benjo, who focused on machine learning from data [6][7] - Alexnet's image recognition capabilities in 2012 marked another significant advancement [10][12] - The release of Chat GPT by Open AI in November 2022 led to rapid adoption, reaching 1 million users in 5 days [15][16] Company's Journey & Business Impact - The company recognized the need to make AI accessible and understandable to a wider audience [2] - Initial challenges included convincing businesses of AI's practical value [6] - The company observed a shift in 2020 when businesses started recognizing AI's potential to save time and money [8] - The company established an AI observatory and witnessed AI transforming from science fiction to a business driver [9] - The company launched the AI week, a European fair for AI, to connect experts and those seeking to understand AI [14] - The company created AI Play, a platform for learning AI in a simple and on-demand manner [18] Current Landscape & Future Outlook - Europe released the AI Act, the first regulation on AI, addressing rights, risks, and opportunities [19][20] - A global race for leadership in AI is underway, involving companies from Silicon Valley, China, and others [20] - The company has evolved into an ecosystem of 20 people, creating content, training individuals, and organizing events [21] - The company acknowledges the ongoing evolution of AI, including robotics, agents, multimodality, and general AI, while emphasizing that no one has all the answers [22] - The company views AI as a tool that is neutral and requires human direction to determine its impact [23][24]
Noi e la scommessa dell' AI | Giacinto Fiore & Pasquale Viscanti | TEDxPolitecnico di Torino
TEDx Talksยท2025-08-07 14:48