AI Advancements and Neural Networks
In today's lecture about advancements in artificial intelligence, the professor highlighted several breakthroughs that are shaping the field. He mentioned that one of the most significant developments is the creation of neural networks that mimic human brain functions. Neural networks have led to improvements in OCR (optical character recognition) systems, which are now able to read handwriting with much higher accuracy than before. The professor also discussed the role of AI in healthcare, emphasizing how machine learning is transforming diagnostics by allowing systems to analyze medical images and predict diseases faster than human experts. Finally, he addressed ethical concerns, indicating that as AI systems evolve, it is crucial to manage their impact on society and employment.
Note: This question has been adapted from its original format to accommodate a reading-based version. In the official TOEFL exam, speaking and listening sections require verbal responses and audio prompts, which are not represented here. Please note that this adaptation may not fully reflect the nature or difficulty of the official exam. The audio feature for these sections will be available soon.