Explanation
1. Statement 1 is correct. Artificial Intelligence (AI) algorithms can analyze vast amounts of data from sensors in industrial units to optimize energy usage, predict demand, control machinery efficiently, and identify potential savings, thereby helping to bring down electricity consumption.
2. Statement 2 is questionable in terms of 'effectively' and 'meaningful'. While AI models (like early generative text models) could produce text resembling short stories and songs by 2020, their ability to consistently create truly meaningful, coherent, and creative content was limited and often required significant human intervention or curation. Thus, it wasn't an 'effective' capability in the general sense.
3. Statement 3 is correct. AI is widely used in healthcare for tasks like analyzing medical images (X-rays, CT scans) to detect anomalies, identifying patterns in patient data, and assisting medical professionals in disease diagnosis.
4. Statement 4 is correct. Text-to-Speech (TTS) Conversion technology, often utilizing AI and machine learning models for natural-sounding voice synthesis, was a well-established and effective capability by 2020.
5. Statement 5 is incorrect. Wireless transmission of electrical energy over significant distances is a challenge rooted in physics and electrical engineering (dealing with electromagnetic fields, efficiency loss, etc.). While AI could potentially optimize such systems if developed, AI itself does not perform the function of wireless transmission of electrical energy.
6. Therefore, AI can effectively perform tasks mentioned in statements 1, 3, and 4.