A. Only analyze medical images. B. Detect diseases and plan treatments. C. Provide general medical advice. D. Perform surgeries. 相关知识点: 试题来源: 解析 B。解析:文章中提到 AI 算法可以分析医学图像帮助医生早期发现疾病,同时也可用于治疗计划,所以答案是 B。反馈 收藏 ...
AI agents, also called intelligent agents, are a distinct category within the broader field of artificial intelligence. Unlike other types of AI systems, agents are designed to operate autonomously, often in real-world environments. They perceive their surroundings, interpret data, and make decisions ...
Amazon's Alexa, Apple's Siri, Google Assistant, and Microsoft's Cortana are good examples of AI-powered virtual assistants that use natural language processing and machine learning algorithms to answer user queries. 3. Self Driving Cars AI helps self-driving cars by using sensors ...
We next look at how drug discovery is typically structured in many pharmaceutical companies, and why the quality of decisions made, using AI algorithms, is not trivial to change in this context. The current analytical way of drug discovery using isolated mechanisms and targets Drug discovery has ...
AI is a specific branch of computer science concerned with mimicking human thinking and decision-making processes. These programs can often revise their own algorithms by analyzing data sets and improving their own performance without needing the help of a human. These are often programmed to complet...
Become better prepared to identify and assess algorithms implemented in your business process by gaining knowledge around these algorithm characteristics: Finding algorithms in finance systems Identifying algorithms might seem simple in theory, but they are often hidden in larger business processes, ...
Also:These are the jobs most likely to be taken over by AI However, artificial intelligence can't run independently. While many jobs with routine, repetitive data work might be automated, workers inother jobscan use tools like generative AI to become more productive and efficient. ...
Machine learning is a type of AI that focuses on developing algorithms to learn from data. It enables computers to learn or train themselves from large amounts of existing data. For example, OpenAI’sChatGPTuses several data sets containing over 570GB of text data from the internet, including...
(CNNs) are particularly effective for recognizing images, while recurrent neural networks (RNNs) excel in sequence data processing, such as language translation and speech recognition. Deep learning algorithms have been instrumental in the development of AI capabilities like speech recognition, image ...
AI hallucinations are when a large language model (LLM) perceives patterns or objects that are nonexistent, creating nonsensical or inaccurate outputs.