Convergence Media and AI in Broadcasting
- Convergence refers to translating various analogue media into digital formats for manipulation by computers.
Analogue
- Analogue devices represent values continuously through physical properties (e.g., voltage).
- Characteristics include sensitivity to noise, limited automation, and modeling challenges.
Digital
- Digitization converts analog signals into discrete numerical formats (usually binary).
- Digital recordings can be easily stored and manipulated; they require synchronization, language, and error checking for effective communication.
Key Differences
- Quality: Digital is more prone to quality loss and relies on error correction; Analogue is sensitive to interference but maintains original quality better.
- Cost: Digital technology, though more expensive, offers greater functionality and capacity for data transmission. Analogue systems are cheaper but limited in data size.
- New media (Internet media) is fundamentally different from older forms like newspapers or radio, allowing content creation and sharing in interactive formats.
- Elements of expression include text, images, audio, and video, facilitating user participation in content production.
Applications of Digital Technology
- Most efficient in cellular phones, with analog phones becoming obsolete despite their sound quality.
Machine Learning and Artificial Intelligence
- Machine learning allows systems to learn from data; deep learning models human brain functions.
- AI focuses on replicating human intelligence and has been applied in products like Amazon Echo and search engines.
- Historical milestones include the development of AI in the 1950s, advancements in the 1980s, and high-profile AI achievements in the early 2000s.
- AI integration in media technology is growing; data is critical for future strategies in media companies.